ChatGPT answers, unedited

For a portfolio of ecommerce sites, I’d prioritize a platform that treats LLM visibility as a longitudinal dataset—not just a rank checker.

My shortlist

Recent 2026 comparisons consistently put Profound, Peec and Otterly in the core competitive set, while ecommerce-focused evaluations increasingly emphasize product/shopping prompts rather than generic brand mentions. 1001 SEO Media licheo.com

For your specific use case

If by "long-term trends" you mean something like:

20 ecommerce domains × 100–500 prompts/domain × 12–24 months, with visibility/share-of-voice tracked by model, country, product category and competitor

then I'd put data model and historical retention ahead of UI.

I'd want these dimensions preserved for every observation:

• Domain / brand
• Product/category
• Prompt
• Country/language
• AI engine/model
• Mentioned vs. not mentioned
• Position/order of appearance
• Citation/source URL
• Competitors mentioned
• Sentiment/context
• Date/time
• Prompt category: discovery, comparison, branded, product-specific, "best X", etc.

That lets you answer much more useful questions than "are we visible?": Is Brand A gaining share of AI answers? Which categories are deteriorating? Which competitors are taking mentions? Are citations shifting from our PDPs to retailers/review sites?

For ecommerce specifically, recent evaluations also distinguish product/shopping visibility from generic LLM brand visibility; that's important because a brand being mentioned in an answer isn't necessarily the same as its products being surfaced in a shopping experience. LLM Visibility Tools

My practical choice

If this is a serious multi-brand portfolio: I'd demo Profound and Peec side-by-side, using your actual ecommerce prompts, and make historical data ownership/export/API capabilities a gating criterion.

If you have lots of smaller sites and want inexpensive monitoring: start with Otterly and validate whether its prompt/engine limits are sufficient.

If the portfolio is heavily ecommerce/product-oriented: I'd also test Promptwatch, specifically for shopping/product prompts and whether its historical data model maps cleanly to your portfolio reporting. Current comparisons describe it as particularly oriented toward daily multi-engine ecommerce monitoring and shopping/ads visibility. aisearchtoolrank.com bestgeosoftware.com

One important caveat: I wouldn't choose based on a vendor's "visibility score." For a 12–24 month program, I'd want raw prompt-level observations and an API/export so you can build your own canonical time series. The AI-search measurement market is changing quickly, and platform-level scores can change when the vendor changes its methodology.

For a portfolio of ecommerce sites, I’d shortlist Peec AI, Profound, and Otterly—with Peec AI being the most natural fit if the main job is longitudinal measurement across multiple brands.

How I’d think about it

Current 2026 comparisons consistently put Peec in the mid-market/multi-brand category, while Profound is positioned toward enterprise programs with deeper analytics and broader engine coverage. Otterly is substantially cheaper and is more appropriate when the monitoring requirements are simpler. Baarely Bloomiro AISEOShift

My recommendation for your use case

Peec AI is where I'd start if you have, say, 5–50 ecommerce domains and want to answer questions like:

• Is Brand A's AI visibility improving over 6–12 months?
• Which brands are gaining/losing share against competitors?
• Which product/category queries are driving the changes?
• How does visibility differ across ChatGPT, Gemini, Perplexity, etc.?
• Can I maintain a consistent prompt set across every site?
• Can I export the underlying history into a portfolio-level dashboard?

That's more important for a portfolio than having the fanciest individual-site optimization features. Current comparisons specifically identify Peec as a fit for agencies/multi-brand teams and note its unlimited-seat model. Stork.AI

Profound becomes more compelling if you're operating at enterprise scale and care about deeper citation/answer analytics, broader answer-engine coverage, governance, and potentially tying AI visibility to actual traffic. Its current entry tier is much narrower, though, so you need to pay attention to exactly which engines and capabilities are included in the plan you're evaluating. Baarely 1001 SEO Media

Otterly is the sensible choice if you primarily need a cheap, persistent time series of visibility and don't need enterprise analytics. Published 2026 pricing starts around $29/month, versus substantially higher entry points for Peec and Profound. Baarely Stork.AI

One important caveat

For ecommerce, don't make the KPI simply "AI mentions."

I'd build your portfolio dashboard around something like:

Visibility → Citation share → Competitive share → Product/category coverage → AI-referred traffic

And keep the prompt set frozen enough to preserve a legitimate time series. If you continually change the questions, engines, geographic settings, or measurement cadence, a six-month "trend" can become more of a measurement artifact than an actual visibility trend. This is particularly important because these platforms differ in refresh cadence and engine coverage. 1001 SEO Media Best GEO Software

If you tell me roughly how many ecommerce sites/domains you're tracking (e.g. 10, 50, 200+), I can give you a more specific Peec vs Profound vs Otterly architecture, including what I'd use as the portfolio-level KPI and how I'd structure the prompt set.

If your goal is long-term LLM visibility tracking across a portfolio of ecommerce sites, I’d shortlist these:

My pick: Peec AI

peec.ai is probably the best fit if you're managing multiple ecommerce domains and care about trend data rather than one-off GEO audits.

Why I’d choose it:

• Daily tracking of visibility, position, sentiment, and share of voice. Peec AI Peec AI
• Tracks ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini and Copilot, with model-level comparisons. Peec AI
• Supports multiple projects/client workspaces, which is particularly useful for a portfolio. Peec AI
• Lets you track source citations as well as brand mentions—important for ecommerce because an LLM can cite your product/category content without explicitly mentioning the brand. Peec AI
• API, CSV, Looker Studio and MCP support make it much easier to roll the data into a portfolio-level BI dashboard. Peec AI

For a portfolio, I'd actually build a dataset around:

Site → category → product/topic → prompt cluster → model → visibility → position → citations → competitors → sentiment

That gives you a much more useful 12–24 month "AI share of search" trend than simply looking at a single visibility score.

Strong alternative: OtterlyAI

otterly.ai is arguably better if your emphasis is website/domain citation tracking.

It tracks brand mentions, share of voice, sentiment, rankings, and the specific URLs/domains cited by AI answers. It also has multi-brand workspaces, exports and a Looker Studio connector. Otterly Otterly

That's particularly attractive for ecommerce because you can answer questions like:

"Which of our category/product pages are actually becoming sources for LLM answers?"

rather than merely:

"Did our brand get mentioned?"

How I'd rank them

Bottom line: I'd start with Peec AI for a portfolio of ecommerce sites, particularly if you want to eventually aggregate the data across properties. I'd choose OtterlyAI instead if URL-level citation tracking and understanding which pages LLMs use as sources is the primary objective. Current platform coverage is moving quickly, so I'd validate the exact engines and historical-data retention in a trial before committing to a multi-year measurement program. Peec AI Otterly

If you tell me roughly how many sites/domains you have (e.g. 10, 50, 500+), I can also compare Peec vs Otterly vs Profound specifically on portfolio scale, pricing, historical data, API limits, and ecommerce/product-level tracking.

If your goal is long-term LLM visibility tracking across a portfolio of ecommerce sites, I’d shortlist Profound, Peec AI, and Otterly, with Profound as my first choice for a serious portfolio.

My ranking

Current comparisons consistently put Profound at the enterprise end, while Peec and Otterly are more accessible for multi-brand monitoring. Anagram Bloomiro

What I'd choose for an ecommerce portfolio

1. Profound — best if this is strategically important

I'd pick Profound if you're managing enough sites that you care about consistent measurement over years, not just "are we mentioned in ChatGPT?"

The important capabilities are:

• Track visibility across multiple answer engines.
• Monitor competitor share of voice.
• Track the sources/citations LLMs use.
• Analyze visibility at the prompt/category level.
• Compare markets and brands.
• Enterprise-oriented reporting and API capabilities.

Profound reportedly reaches the broadest engine coverage at its enterprise level, including ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Copilot, Meta AI, Grok, DeepSeek and Claude. Baarely

The downside is cost and complexity. Its lower tiers aren't necessarily representative of what you'd want for a portfolio—the $99 Starter tier, for example, is substantially more limited than the enterprise product. Baarely

2. Peec AI — probably the best practical choice

If you have, say, 10–50 ecommerce properties and primarily want a reliable visibility dataset, I'd seriously consider Peec.

It's particularly attractive when the question is:

"How is AI visibility changing across all our brands, categories, competitors and markets?"

rather than:

"Give me an entire enterprise AI-search command center."

Peec is positioned around visibility analytics, benchmarking and multi-language/multi-market monitoring, and current comparisons identify it as a strong fit for agencies and mid-market teams managing multiple brands. Bloomiro Toolsolved

3. Otterly — best value

If you're testing the thesis or have a large number of smaller sites, Otterly is compelling because the entry price is dramatically lower—current published comparisons put it around $29/month—and it covers several major engines. Baarely

I'd use it when the primary KPI is simply:

visibility → mentions → citations → competitor comparison → trend

rather than needing a sophisticated enterprise data layer.

One important caveat for ecommerce

Don't evaluate these platforms purely on their "AI visibility score."

For ecommerce, I'd build your measurement system around a fixed panel of commercially meaningful prompts:

• best [product category]
• best [product] for [use case]
• [brand] alternatives
• [brand] vs [competitor]
• where should I buy [product]
• best [product] under $X
• product-specific recommendation queries
• category + demographic/use-case queries

Then track, for every site:

Mention rate → position/share of recommendation → citation rate → cited URL → competitor displacement → sentiment → shopping/product visibility → AI-referred traffic/revenue

That distinction matters because a brand can have excellent mention visibility while the LLM is citing competitors' pages rather than the brand's own PDP/category content.

Recent ecommerce-focused comparisons also specifically call out product/category prompts, ChatGPT Shopping visibility and crawler access as things worth measuring alongside conventional LLM visibility. 1001 SEO Media

My recommendation

If I were buying for a portfolio today:

Large enterprise portfolio: Profound

10–50 brands/sites: Peec AI

Many smaller sites / proving the business case: Otterly

If you also want to optimize the sites for AI agents, not merely measure visibility: add Scrunch to the evaluation. Its differentiator is the combination of visibility monitoring with an agent-experience/crawler layer. Baarely

One thing I'd insist on before signing a long-term contract: export/API access to the underlying prompt-level observations. The dashboard isn't the asset—the historical dataset is. You want to be able to retain your 2026–2030 visibility history even if you eventually change platforms. Current comparisons suggest Profound and Promptwatch have stronger API/data-layer capabilities, while Peec and Otterly are more limited. Toolsolved

If you tell me roughly how many ecommerce sites, countries/languages, and monthly budget you're dealing with, I can narrow this to a specific platform and architecture.

Don't evaluate these platforms purely on their "AI visibility score."

For ecommerce, I'd build your measurement system around a fixed panel of commercially meaningful prompts:

• best [product category]
• best [product] for [use case]
• [brand] alternatives
• [brand] vs [competitor]
• where should I buy [product]
• best [product] under $X
• product-specific recommendation queries
• category + demographic/use-case queries

Then track, for every site:

Mention rate → position/share of recommendation → citation rate → cited URL → competitor displacement → sentiment → shopping/product visibility → AI-referred traffic/revenue

That distinction matters because a brand can have excellent mention visibility while the LLM is citing competitors' pages rather than the brand's own PDP/category content.

Recent ecommerce-focused comparisons also specifically call out product/category prompts, ChatGPT Shopping visibility and crawler access as things worth measuring alongside conventional LLM visibility.

My recommendation

For a portfolio of ecommerce sites, I’d put Scrunch at the top of the shortlist right now, with Profound as the stronger choice if you need enterprise-grade research and benchmarking.

My ranking

1. Scrunch — best overall for an ecommerce portfolio

• Particularly strong for product-level AI visibility, not just brand mentions.
• Tracks which SKUs appear in AI shopping answers, their positions, competitor share, retailer visibility, and the prompts producing those results. Scrunch Scrunch
• Supports nine major AI surfaces, including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center
• Has historical trend views and segmentation by site/topic/prompt/platform, which is important if you're trying to determine whether visibility is actually improving rather than reacting to individual LLM answers. Scrunch
• Best fit: agency, holding company, PE portfolio, or internal growth team managing multiple ecommerce brands.
• Profound — best for sophisticated enterprise measurement

• Excellent if your main objective is measuring share of voice, citations, competitive positioning and changes across models/markets.
• Its Profound Index is particularly interesting for portfolio benchmarking: it uses 1.5B+ real user conversations across 50+ industries and is updated weekly. Profound
• Its visibility data can be tracked across models, regions and topics over time. Profound Help Center
• Best fit: large portfolio + dedicated SEO/GEO analytics team + need for deep market intelligence.
• Peec AI — worth considering for a multi-brand analytics layer

• I'd consider it if you want something relatively focused on visibility analytics rather than a broader AI-experience platform.
• Particularly attractive for mid-market/agency-style portfolios, though I'd put Scrunch ahead of it for ecommerce because of Scrunch's product/SKU-level shopping functionality.
• Otterly — best budget option

• Good for straightforward prompt/brand monitoring without the enterprise complexity.
• I'd use it for a smaller portfolio or as a lightweight monitoring layer, rather than as the central system of record for a large ecommerce portfolio.

What I'd actually measure

For a portfolio, don't make "AI visibility score" the primary KPI. Build a longitudinal dataset around:

That distinction matters because AI shopping is increasingly moving from generic brand recommendations to specific product recommendations and retailer links. TechRadar Scrunch

The key thing I'd test before buying

For your use case, I'd run the same 100–300 non-branded buyer prompts across every site and see whether the platform can reliably preserve the historical series.

For example:

• "best running shoes for concrete"
• "best carry-on luggage under $200"
• "best moisturizer for dry skin"
• "[category] alternatives to [competitor]"
• "[product type] worth buying in 2026"
• "best [category] for [persona/use case]"

Then segment those prompts by category → funnel stage → brand → product → geography → AI engine.

If you're managing 10+ ecommerce properties, Scrunch would be my first demo because its shopping/product layer makes it substantially more useful than a generic "does ChatGPT mention my brand?" tracker. Its own documentation specifically supports trend analysis and prompt/topic segmentation, while its Shopping product goes down to product and retailer visibility. Scrunch Scrunch

If you tell me roughly how many ecommerce sites/SKUs you have (e.g. 5 sites / 50 sites / 500 sites) and whether you're agency, PE/holding company, or internal enterprise, I can give you a much more specific Scrunch vs Profound vs Peec vs Otterly comparison, including what I'd use as the portfolio's system of record.

Then segment those prompts by category → funnel stage → brand → product → geography → AI engine.

For a portfolio of ecommerce sites, I’d put Peec AI at the top of the shortlist, with OtterlyAI as the best value alternative and Profound if you’re operating at enterprise scale.

My ranking

Why I’d choose Peec: it is particularly clean for measuring the metrics you actually want in a portfolio: visibility %, average position, sentiment, share of voice, competitor comparisons, prompt-level performance, and citation sources. It also supports different AI models and branded/unbranded/commercial prompt segmentation. Peec AI

peec.ai

The dark horse: OtterlyAI

For ecommerce specifically, I'd seriously evaluate OtterlyAI. It tracks ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude, and has AI Shopping Analytics for tracking how products appear in AI shopping results, including quoted attributes/prices and competing retailers. Otterly Otterly

It also has a public API, which matters if you're managing 10, 50, or 100+ domains and want to build a portfolio-level dashboard rather than logging into each property individually. Otterly

otterly.ai

When I'd pay for Profound

If this is a serious enterprise SEO/marketing operation, Profound is probably the deepest option. It tracks visibility, share of voice, sentiment, citations, competitors, topics, regions and personas across a particularly broad set of AI experiences, including ChatGPT, Perplexity, Claude, Copilot, Google AI Overviews/AI Mode, Gemini, Grok and DeepSeek. Profound

tryprofound.com

What I'd optimize for in your situation

Don't choose primarily based on the number of LLMs supported. For a longitudinal portfolio, I'd require:

• Stable prompt sets so your month-over-month trend is meaningful.
• Visibility/share-of-voice time series, not just snapshots.
• Competitor tracking per site/category.
• Citation/URL tracking — which publishers, retailers and your own pages are influencing answers.
• Branded vs. non-branded prompts.
• Commercial/product-intent prompts such as "best X", "X alternatives", "where to buy X".
• Geographic segmentation, if your stores operate in multiple markets.
• API/export capability so you can aggregate every property.
• Ideally, AI shopping/product-result tracking, which is becoming increasingly important as AI assistants move from informational answers toward commerce. TechRadar TechRadar

My practical recommendation: start with Peec + Otterly trials, using the same 100–200 prompts across 2–3 representative ecommerce sites. If you need a more sophisticated enterprise intelligence layer, put Profound through the same test.

If you tell me roughly how many domains/SKUs you have (e.g. 10 sites vs. 100+) and whether you're an agency, holding company, or in-house team, I can narrow this down to the best platform and the exact metrics/dashboard structure I'd use to track LLM visibility over 12–24 months.

The dark horse: OtterlyAI

For ecommerce specifically, I'd seriously evaluate OtterlyAI. It tracks ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude, and has AI Shopping Analytics for tracking how products appear in AI shopping results, including quoted attributes/prices and competing retailers. Otterly Otterly

It also has a public API, which matters if you're managing 10, 50, or 100+ domains and want to build a portfolio-level dashboard rather than logging into each property individually. Otterly

otterly.ai

When I'd pay for Profound

If this is a serious enterprise SEO/marketing operation, Profound is probably the deepest option. It tracks visibility, share of voice, sentiment, citations, competitors, topics, regions and personas across a particularly broad set of AI experiences, including ChatGPT, Perplexity, Claude, Copilot, Google AI Overviews/AI Mode, Gemini, Grok and DeepSeek. tryprofound.com

tryprofound.com

What I'd optimize for in your situation

Don't choose primarily based on the number of LLMs supported. For a longitudinal portfolio, I'd require:

If you mean long-term, portfolio-level tracking of how ecommerce brands/products show up in ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, etc., my shortlist would be:

1. Profound — best overall for a serious portfolio

• Strongest choice if you need historical trend analysis, competitor benchmarking, citation/source analysis, and enterprise reporting.
• Particularly attractive if the portfolio is large and you need to distinguish brand mentions from actual citations/recommendations.
• Current comparisons consistently put Profound at the enterprise/deep-analytics end of the market. AISEOShift LLM Visibility Tools
• My pick if this is a strategic measurement system rather than just an SEO add-on.
• Peec AI — best for multi-brand portfolios without enterprise overhead

• Very compelling if you're managing multiple ecommerce domains/brands and mainly want clean visibility trends and competitive benchmarking.
• It is specifically positioned toward agencies/multi-brand and mid-market use cases, with relatively accessible pricing. AISEOShift Bloomiro
• I'd probably trial this first if you have, say, 10–50 sites.
• Otterly.ai — best value

• Good for establishing a standardized prompt set across many sites without immediately taking on an enterprise platform.
• It has broad engine coverage and transparent entry pricing, although some engines/features are add-ons. Baarely AISEOShift
• Best if breadth and cost matter more than sophisticated portfolio analytics.
• Scrunch AI — interesting if agent traffic matters

• More interesting than a pure visibility tracker if you also care about AI crawlers accessing your sites and making your ecommerce content more agent-friendly.
• It was acquired by Sitecore in 2026, so I'd consider its trajectory if you're already in the Sitecore ecosystem. AISEOShift Baarely

What I'd choose for an ecommerce portfolio

Profound > Peec > Otterly for your particular use case.

The important distinction is that you don't really want a dashboard that merely says "Brand X was mentioned in 37% of prompts." For long-term portfolio management, I'd want the platform to preserve a stable panel of prompts and show:

• Visibility/share of voice over time
• Citation rate and cited URLs
• Position/order in AI recommendations
• Product-level vs brand-level visibility
• Competitor displacement
• Model/engine-specific trends
• Country/language trends
• Prompt/category trends
• Sentiment/recommendation quality
• AI-referred traffic, where measurable
• Historical raw answers so you can distinguish a real trend from a methodology change

That's especially important for ecommerce because AI shopping behavior is evolving quickly; recent reporting shows AI-referred retail traffic and AI shopping ecosystems changing substantially in 2026. TechRadar TechRadar

One caveat

I would not choose based primarily on number of LLMs supported. For a portfolio, consistency of measurement is more valuable. You want a platform that can run the same frozen prompt panel for 12–24+ months, retain the underlying observations, and let you aggregate results across sites. Otherwise, a change in the platform's prompt methodology can look like a genuine improvement/decline in visibility.

If you tell me roughly how many ecommerce sites/domains are in the portfolio (e.g. 10, 50, 500) and whether they're all under one company or client/agency accounts, I can give you a much more specific recommendation and a Profound vs Peec vs Otterly scorecard for portfolio-scale tracking.

If you’re tracking LLM visibility over years across a portfolio of ecommerce sites, I’d shortlist Profound first, with Peec AI as the best value/mid-market alternative.

The important distinction is that you want more than “does ChatGPT mention me?” You want a durable measurement system for share of voice, product/category visibility, competitors, citations, sentiment, and changes by model over time.

My recommendation: Profound

For a portfolio, I'd lean toward Profound.

It is positioned much more toward enterprise-scale AI visibility: broad model/answer-engine coverage, competitor share-of-voice, citation/source analysis, and high-volume prompt tracking. Current comparisons put it substantially above the self-serve tools in terms of analytical depth. Reachroller Bushnote

That's particularly useful for ecommerce because I'd want to build a measurement hierarchy like:

• Portfolio → site → category → product/brand
• Generic commercial queries: “best running shoes for flat feet”
• Category queries: “best espresso machines”
• Brand queries: “best [brand] products”
• Product queries: “where should I buy [product]?”
• Comparison queries: “[brand A] vs [brand B]”
• Shopping/transactional queries
• Which sites/products get cited
• Which competitors are gaining share
• Which sources/models are driving the change

And critically, I'd preserve the same canonical prompt set for 12–24+ months rather than constantly changing the queries. Otherwise your apparent “trend” is partly a measurement artifact.

Peec AI is probably the sweet spot if you don't need enterprise depth

Peec AI is the one I'd investigate first if your portfolio is, say, 5–50 ecommerce properties and you want useful longitudinal reporting without buying an enterprise platform.

It emphasizes visibility analytics, competitor comparisons and reporting, and current comparisons put it in the mid-market tier with substantially lower pricing than Profound. Loudmink Bushnote

One thing I'd not optimize for

Don't choose based primarily on the number of LLMs supported.

For ecommerce, I'd rather have excellent, stable measurement of 5–8 commercially important surfaces than superficial tracking of 15 models.

Also, AI shopping is changing rapidly: marketplaces are currently capturing a disproportionate amount of AI-referred retail traffic, partly because of their huge catalogs, structured product information and reviews. TechRadar

So I'd specifically test whether a platform can distinguish:

brand visibility → product visibility → citation visibility → shopping visibility → actual AI-referred traffic/revenue.

That last step is where many “LLM visibility” platforms still fall short.

If this were my portfolio

I'd use Profound if the portfolio is large enough to justify enterprise tooling.

I'd use Peec if I wanted the best balance of cost, reporting and longitudinal measurement.

And I'd connect whichever one I choose to GA4/Shopify/order data + Search Console + traditional SEO data, so the executive metric becomes something like:

AI Visibility → AI Referral Traffic → Assisted Revenue

rather than simply “we were mentioned by ChatGPT.”

If you tell me roughly how many ecommerce sites, domains, monthly prompt volume, and whether they're separate brands or multiple country sites, I can give you a much more specific recommendation—including which platform I'd buy and how I'd structure the tracking taxonomy.

If you’re tracking a portfolio of ecommerce sites over months/years, I’d shortlist these three:

My pick: Peec AI

For your specific wording — "long-term trends" + "portfolio of ecommerce sites" — I'd start with Peec.

The reason isn't necessarily that it has the most features. It's that its core measurement model is well suited to building a consistent time series:

• Visibility % — how often each brand appears.
• Average position — whether you're moving up/down.
• Share of voice — whether competitors are taking your visibility.
• Sentiment — whether the way you're represented is changing.
• Prompt-level history — lets you distinguish genuine trend changes from aggregate-score noise.
• Engine/model segmentation — useful because ChatGPT, Gemini, Perplexity, etc. can behave very differently.
• Citation/source analysis — lets you connect visibility changes to the sites influencing the answers. Peec AI

That makes it relatively straightforward to create a portfolio dashboard like:

Brand A: 12% → 19% visibility over 6 months
Brand B: 27% → 21%
Brand C: flat, but position improved 4.2 → 2.7
Portfolio: +14% AI share of voice
Competitor X: gaining primarily on product-comparison prompts

When I'd choose Profound instead

If these are large ecommerce properties with thousands of products/SKUs, I'd seriously consider Profound.

Its shopping product is specifically designed around ChatGPT Shopping, including SKU-level analysis, product visibility, attribute accuracy and shopper sentiment. Profound

Profound also runs tracked prompts daily and emphasizes capturing answers directly from the browser rather than relying solely on API responses, which can matter when you're trying to maintain a reliable historical dataset. Profound

So I'd frame it:

Portfolio-level brand/GEO measurement → Peec
Enterprise ecommerce + SKU/product intelligence → Profound
Lots of sites with cost sensitivity + shopping monitoring → Otterly

One important caveat: don't judge these platforms primarily by their headline "AI visibility score." For a multi-year program, I'd want the underlying data exported/API-accessible so you can preserve your own historical dataset. Prompt definitions, models, engines and scoring methodologies will inevitably change. Otterly, for example, explicitly offers a public API for reports, prompts, citations and workspace data. Otterly

If you tell me roughly how many ecommerce domains/SKUs you have (e.g. 10 sites / 100 sites / 1,000+), I can give you a much more concrete Peec vs Profound vs Otterly recommendation, including what I'd track and how I'd structure the portfolio dashboard.

For a portfolio of ecommerce sites, I’d shortlist Peec AI and Profound, with Peec AI as the best default unless you’re operating at enterprise scale.

The important distinction is that you want a platform that measures visibility longitudinally, not just a one-off “are we mentioned?” score: prompt-level results, share of voice, competitors, citations/sources, product/category queries, and trends by site over months. That’s the core capability these platforms are increasingly targeting. NeuralGen Marqeable

My ranking

1. Peec AI — my pick for most ecommerce portfolios.
It sits in the mid-market sweet spot: enough analytical depth to track multiple brands/sites without jumping immediately into an enterprise contract. Current comparisons position it specifically for agencies and multi-brand teams, with tracking around visibility, competitors and AI responses. Bloomiro Mention Radar

2. Profound — best if this is a serious enterprise measurement program.
If you have dozens of sites, very large prompt sets, multiple markets, and stakeholders who need sophisticated reporting, Profound is probably the strongest option. It is positioned at the enterprise end with substantially deeper analytics and broader monitoring, but the economics make less sense for a smaller portfolio. Reachroller Stork.AI

3. Otterly — best inexpensive starting point.
It's attractive if you primarily need to establish a baseline and watch it move over time. Current pricing starts around $29/month, making it dramatically easier to pilot across a few properties. The tradeoff is less analytical depth than the enterprise-oriented platforms. Marqeable Stork.AI

For ecommerce specifically

I'd evaluate the platforms against your own prompt corpus, rather than generic “AI visibility” scores. For example:

• “best running shoes for flat feet”
• “best [product category] under $200”
• “[brand] vs [competitor]”
• “where should I buy [product]?”
• “[product] alternatives”
• “[product] reviews”
• category + use-case queries
• branded and non-branded queries
• queries for each major country/market

Then track, per site:

AI visibility → share of voice → product/brand mentions → citations → cited URLs → competitors → sentiment/position → change over time.

That's particularly important for ecommerce because being mentioned isn't equivalent to getting your product pages cited or recommended. Some newer evaluations are explicitly testing shopping-intent prompts and citation depth rather than relying on a generic visibility score. LLM Visibility Tools

What I'd do

If you have 5–50 ecommerce domains, I'd start with Peec AI, run the same 100–300 high-value prompts across the portfolio for 8–12 weeks, and judge it on the quality of its historical data and reporting—not its headline visibility score.

If you have 50+ domains / multiple countries / enterprise reporting requirements, I'd take a serious look at Profound instead.

If you tell me roughly how many sites/domains, countries, and monthly prompt volume you're talking about, I can narrow this down to the best 2–3 platforms and compare pricing, API access, historical data, multi-domain support, ecommerce/product tracking, and Looker/BI exportability.

If your goal is long-term LLM visibility tracking across a portfolio of ecommerce sites, I’d shortlist these three:

My pick: Profound

For a portfolio-level investment, I'd lean Profound if budget isn't the main constraint. It is oriented toward enterprise-scale AI visibility analytics, with deeper tracking of brand presence, competitors, citations/sources, and topic-level visibility. Independent 2026 comparisons consistently position it as the enterprise option. Bloomiro Reachroller

The important thing is that you're not just looking for a weekly "did ChatGPT mention us?" report. For a portfolio, you want to build a 12–24 month visibility dataset:

• Share of voice by site/brand
• Visibility by product/category
• Visibility by query intent
• Competitor displacement
• Citation/source share
• Sentiment and recommendation position
• AI engine/model differences
• Country/language differences
• Changes before/after SEO/content/product-data initiatives
• Historical trends at both portfolio and individual-site level

Best value: Peec AI

If you're managing multiple ecommerce brands but aren't at enterprise budget, I'd seriously consider Peec AI. It is particularly attractive for multi-brand/agency-style monitoring, with competitor benchmarking, citation analysis, sentiment, multilingual tracking, and API/export capabilities. Loudmink Conbersa

For a portfolio, I'd actually prefer Peec over buying several lightweight trackers because consistent measurement methodology across all properties becomes very important when you're trying to establish trends.

Don't overlook ecommerce-specific tracking

There's a wrinkle: most LLM-visibility platforms are fundamentally brand/prompt trackers, whereas ecommerce often needs product-level visibility.

For example, Sixthshop focuses specifically on whether individual products/SKUs are understood and recommended by AI systems rather than merely whether the brand gets mentioned. Trustnoww

So if your portfolio has thousands of SKUs and your question is:

"Which products are AI assistants recommending when consumers ask for products like ours?"

I'd supplement—or potentially replace—a general brand tracker with an ecommerce/product-focused platform.

What I'd do for a portfolio

10+ ecommerce sites: Profound or Peec as the central measurement layer.

3–10 sites: Peec is probably the sweet spot.

1–3 sites / proving the channel: Otterly is sufficient to establish a baseline at much lower cost. Loudmink

Then I'd create a standardized LLM Visibility Index across every site rather than relying on each vendor's proprietary score. That gives you a defensible historical KPI such as:

Portfolio LLM Visibility = weighted share of relevant AI answers in which the brand/product is mentioned or recommended

That's much more useful for an investment portfolio than simply watching a vendor's "visibility score" go up and down.

If you tell me roughly how many ecommerce sites, monthly prompt volume, geographic markets, and whether they're Shopify/BigCommerce/custom, I can narrow this down to the best 2–3 platforms and compare their 2026 pricing + portfolio limits + API/export + historical data retention.

If you mean tracking LLM/AI-search visibility over months or years across multiple ecommerce domains, I’d shortlist these:

1. tryprofound.com — best overall for a serious portfolio

• Strongest choice if you have many brands/sites and want durable historical reporting.
• Tracks visibility, share of voice, sentiment, citations, competitors, regions and topics across major answer engines. It also now includes product visibility in ChatGPT Shopping, which is particularly relevant to ecommerce. Profound Profound
• Better suited to enterprise/multi-brand reporting than most lightweight trackers.
• My pick if this is a strategic measurement program rather than an SEO side project.
• peec.ai — best value / portfolio analytics

• Particularly attractive if you're managing several ecommerce sites and want clean longitudinal visibility data without going straight to an enterprise platform.
• Daily tracking, model/country/topic segmentation, competitor comparisons, source visibility and API/Looker Studio integration are all available. Peec AI Peec AI
• Its distinction between brand visibility and source/domain visibility is useful for SEO teams: your site can influence an answer even when the brand isn't explicitly mentioned. Peec.ai Docs
• My pick if you want the best balance of cost, analytics and multi-brand monitoring.
• scrunchai.com — worth evaluating for enterprise

• More appropriate when AI visibility is part of a broader enterprise content/digital-experience initiative rather than simply a reporting dashboard.
• I'd put it behind Profound for your particular use case unless its workflow/integration capabilities map especially well to your stack.
• otterly.ai — good for inexpensive monitoring

• Useful for establishing baselines and monitoring a smaller set of prompts/sites.
• I'd be less inclined to make it the system of record for a large portfolio's multi-year trend analysis.

What I'd choose for an ecommerce portfolio

Profound if you have 10+ important sites/brands and budget isn't the primary constraint.

Peec if you have, say, 3–20 sites and want a practical portfolio dashboard with good historical data and API access.

The important caveat is that "LLM visibility" isn't one metric. For ecommerce, I'd insist that the platform lets you separately trend:

• Brand mention rate — % of relevant AI answers mentioning you
• Share of voice — your mentions vs. competitors
• Position/rank — where you appear in recommendations
• Citation/source visibility — whether your domains/products are actually being used as sources
• Product/SKU visibility — increasingly important as AI shopping develops
• Commercial vs. informational prompts
• Engine-level trends — ChatGPT vs. Gemini vs. Perplexity vs. Google AI
• Country/market
• Competitor displacement
• Prompt-level history, not just an aggregate score

That last point is critical: don't buy a platform that only gives you a proprietary "AI visibility score." For long-term measurement, you want the underlying prompt/response/citation observations so you can still interpret a change in the score two years from now.

One particularly interesting development for ecommerce is that Profound now explicitly tracks ChatGPT Shopping product visibility, shopping-triggering prompts, and merchant relationships, which makes it more compelling for a commerce portfolio than generic "brand mention" trackers. Profound

If you tell me roughly how many ecommerce sites/brands you have (e.g. 5, 20, 100+) and your monthly budget, I can give you a much more specific Profound vs. Peec vs. Scrunch comparison, including which one I'd use as the portfolio-level system of record.

If your goal is long-term trend tracking across a portfolio of ecommerce sites, I’d put Profound at the top of the shortlist.

Profound is particularly strong for measuring change over time, rather than just giving you a current “AI visibility score.” It tracks visibility/share of voice, citations, competitors, topics, regions and personas across major AI experiences, and says it runs tracked prompts daily using the consumer-facing interfaces. Profound

My ranking for your use case

Why I'd choose Profound

For a portfolio, I would prioritize these metrics:

• Share of voice by site/brand
• Visibility by category and buying-intent prompt
• Product/brand mentions
• Citation share and citation sources
• Competitor displacement
• Visibility by AI engine
• Visibility trend over months/quarters
• Geographic differences
• Prompt/topic-level trends
• Ability to keep the same measurement methodology over time

Profound explicitly supports multiple assets/competitive sets and trend analysis across time, regions, topics and personas. It also covers ChatGPT, Perplexity, Claude, Copilot, Google AI Overviews/AI Mode, Gemini, Grok and DeepSeek. Profound

For ecommerce specifically, an independent 2026 test of shopping prompts put Profound first for citation depth and ChatGPT Shopping placement data. LLM Visibility Tools

The important alternative: BrightEdge

If your portfolio already has substantial SEO investment and historical Google data, I'd seriously consider BrightEdge.

Its big advantage is that you can analyze AI visibility alongside conventional organic-search performance, rather than creating a completely separate measurement universe. One 2026 review specifically highlighted BrightEdge's large historical search dataset as an advantage for demonstrating how AI visibility fits into a long-running SEO program. Contently

Scrunch is interesting if you also want diagnosis

Scrunch is worth evaluating if you don't just want to measure visibility but want to understand how AI agents consume the ecommerce sites themselves. It combines prompt/citation monitoring with agent traffic, site diagnostics and its Agent Experience Platform. Scrunch

That's more compelling if you have engineering resources and want to optimize product/category pages for AI agents—not merely report visibility to executives.

What I'd actually do

For a portfolio of, say, 10–100 ecommerce domains, I'd run a bake-off between Profound, Scrunch and BrightEdge, using your actual portfolio rather than generic demos.

Give each vendor the same:

• 5–10 domains
• 50–100 high-intent prompts per domain
• 10–20 competitors
• 3–5 product/category clusters
• branded + non-branded prompts
• monthly reporting requirement

Then compare six months of historical stability, not just the headline visibility number.

That's important because LLM outputs change constantly; the measurement system itself needs to be consistent enough that a movement from 18% → 24% actually means something. Current industry testing is explicitly beginning to address the problem of re-baselining when underlying ChatGPT models change. LLM Visibility Tools

Bottom line:
Profound = my first choice for portfolio-level LLM visibility intelligence.
BrightEdge = strongest if AI visibility needs to live alongside your existing enterprise SEO measurement.
Scrunch = strongest if you want visibility tracking plus technical optimization of how AI agents consume the sites.

If you tell me roughly how many ecommerce domains/SKUs you have and whether you're an agency, PE portfolio, or in-house group, I can narrow this to the best 2–3 and compare pricing, API/reporting, product-level tracking, historical data, and portfolio roll-ups.

That's more compelling if you have engineering resources and want to optimize product/category pages for AI agents—not merely report visibility to executives.

What I'd actually do

For a portfolio of ecommerce sites, I’d shortlist OtterlyAI, Profound, and Peec AI—but my default pick for your specific use case is OtterlyAI.

My ranking

1. otterly.ai — best overall

This is the one I'd test first if you have many ecommerce domains/brands.

It tracks visibility across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude, with daily prompt monitoring, brand visibility, share of voice, citations, competitors, sentiment, and historical trends. It also supports reporting/API access and Looker Studio integration. Otterly Otterly

The particularly useful part for ecommerce is its AI Shopping Analytics, which tracks the products and retailers AI search engines surface. Otterly

Why I'd choose it: you can establish a standardized prompt taxonomy across all your sites and then roll visibility up by brand, category, market, engine, and time period.

2. tryprofound.com — best enterprise option

I'd look hardest at Profound if your portfolio is large enough that AI visibility is becoming an enterprise analytics problem rather than just an SEO monitoring problem.

It combines Answer Engine Insights with AI crawler activity, AI-driven traffic, prompt volumes, competitor analysis and page-level performance. Its Pages product specifically lets you see how individual pages perform in AI search and how that changes over time. Profound Knowledge Base Profound

That makes it attractive if your question is:

"Are our ecommerce sites becoming more visible to AI—and is that visibility actually translating into visits and performance?"

rather than simply:

"Are we being mentioned?"

3. peec.ai — best analytics UX

Peec is particularly good if you want a clean longitudinal visibility/SOV dashboard.

It measures visibility, position, sentiment and share of voice over time, and importantly distinguishes brand visibility from source visibility—i.e. whether AI mentions your brand versus whether it actually cites your domain/content. Peec AI Peec.ai Docs

That distinction is extremely useful for ecommerce:

Brand mentioned → domain cited → product recommended → competitor displaced

You want to be able to see that progression rather than treating every AI mention as equivalent.

What I'd actually track across your portfolio

Regardless of platform, I'd build the measurement framework around these dimensions:

• Brand visibility %
• Share of voice vs. competitors
• Average position in AI answers
• Domain/source citation rate
• Product-level visibility
• AI shopping recommendations
• Citation URLs/pages
• Sentiment / recommendation quality
• Visibility by search intent — category, comparison, "best", product-specific, problem-solving
• Visibility by engine — ChatGPT, Google AI, Perplexity, Gemini, etc.
• Visibility by country/market
• 12-month trend, not just current score

The biggest mistake is creating one giant "LLM visibility score." For a portfolio, I'd maintain a stable prompt panel and measure the same prompts every day/week so that changes are actually comparable over years.

Bottom line:
If I were running a portfolio of 10–100+ ecommerce sites, I'd start with OtterlyAI. If you're a large enterprise and want to connect AI visibility with crawler activity and AI-attributed traffic, I'd evaluate Profound alongside it. If the primary requirement is elegant visibility/SOV trend analysis, Peec is compelling. Otterly Profound Peec.ai Docs

If you tell me roughly how many domains you manage (e.g. 10, 50, 500) and whether you need API/Looker/BigQuery, I can narrow this down to the best architecture and likely cost.

The particularly useful part for ecommerce is its AI Shopping Analytics, which tracks the products and retailers AI search engines surface. Otterly

Why I'd choose it: you can establish a standardized prompt taxonomy across all your sites and then roll visibility up by brand, category, market, engine, and time period.

2. tryprofound.com — best enterprise option

I'd look hardest at Profound if your portfolio is large enough that AI visibility is becoming an enterprise analytics problem rather than just an SEO monitoring problem.

It combines Answer Engine Insights with AI crawler activity, AI-driven traffic, prompt volumes, competitor analysis and page-level performance. Its Pages product specifically lets you see how individual pages perform in AI search and how that changes over time. help.tryprofound.com tryprofound.com

That makes it attractive if your question is:

"Are our ecommerce sites becoming more visible to AI—and is that visibility actually translating into visits and performance?"

rather than simply:

"Are we being mentioned?"

For a portfolio of ecommerce sites (multiple brands/domains, lots of SKUs, long-term trend tracking), I would prioritize portfolio management, historical data, prompt/share-of-voice tracking, competitor benchmarking, and API/reporting, not just a one-off “are we mentioned in ChatGPT?” check.

My shortlist:

Triple Whale Conductor## My recommendation by portfolio size

1–10 ecommerce sites

Use:

• Profound (if AI visibility is strategic)
• or Peec AI + your existing SEO stack (if you mainly need reporting)

You want:

• weekly/monthly prompt tracking
• brand/product mention rate
• competitor share of voice
• citations and source URLs
• trend lines over 6–12+ months

10–100+ sites (agency, holding company, marketplace operator)

I would lean toward:

1. Profound for the intelligence layer
2. Peec AI for client-style reporting
3. A data warehouse/dashboard layer (BigQuery/Snowflake/Looker/Tableau) if you need portfolio rollups

The key question becomes: “Which brands are gaining or losing AI shelf space?” rather than “Is one domain visible?”

Large catalogs (50k+ SKUs)

Look for:

• SKU/product-level tracking
• feed/schema diagnostics
• crawl visibility
• category-level prompts
• “best X for Y” shopping queries

Some ecommerce-focused tools emphasize catalog-scale auditing and product-level AI placement rather than only brand mentions. LLM Visibility Tools Ranketta

Metrics I would track over time

For each site/brand:

Visibility

• % of tracked prompts where brand appears
• rank/position in AI recommendations
• share of voice vs competitors
• product mentions by SKU/category

Authority

• citations earned
• domains cited by LLMs
• review/community sources influencing answers

Commercial impact

• AI-referred sessions
• assisted conversions
• revenue influenced by AI discovery
• conversion rate of AI visitors vs organic/paid

Trend views

• 30/90/365-day visibility movement
• winners/losers by category
• competitor gains
• prompt clusters where you are disappearing

What I would avoid

I would not buy a tool that only says:

“Your brand appeared in ChatGPT 14 times.”

That is closer to brand monitoring. For ecommerce, you need:

“For 500 purchase-intent prompts across 20 categories, Brand A gained 8 points of AI share-of-voice, mostly because these product pages and third-party citations improved.”

For a portfolio owner, my default stack would be:

• Profound → LLM visibility intelligence
• Semrush/Conductor → traditional SEO + content intelligence
• GA4 + ecommerce analytics → revenue impact
• Custom dashboard → portfolio rollups

If you share roughly number of sites, Shopify vs custom platforms, SKU count, and whether you need agency/client reporting, I can narrow this to a specific stack.

If your goal is long-term LLM visibility trends across a portfolio of ecommerce sites, I’d put tryprofound.com at the top of the shortlist.

My ranking

1. Profound — best overall for a multi-site portfolio

• Strongest fit if you have multiple brands/sites and need an executive-level trend history.
• Tracks visibility/share of voice, competitors, citations, sentiment, topics, regions, and models over time.
• Runs tracked prompts daily and supports segmentation by topic, persona, and region. Profound Profound
• Particularly useful for ecommerce because it now includes ChatGPT Shopping product visibility, including product placement trends. Profound
• Enterprise capabilities include SSO, RBAC, and multiple asset configurations. Profound
• peec.ai — best ecommerce-specific alternative

• Very compelling if your primary KPI is product/brand visibility rather than broader enterprise AEO.
• Tracks visibility, position, sentiment and share of voice daily across AI engines. Peec AI Peec AI
• Its AI Shopping Analytics is particularly relevant: SKU-level visibility, win rate, position, mentioned price, and the attributes AI uses when comparing products. Peec AI
• Also has Looker Studio, REST API and MCP integrations, which is useful if you're building a portfolio-level reporting layer. Peec AI
• conductor.com — worth considering if you want AI visibility + traditional SEO

• A good choice if this portfolio already runs on a large SEO platform and you want LLM visibility incorporated into the broader organic-search reporting stack.
• A recent independent evaluation puts Conductor, Profound and Peec at the top of its AI-visibility category, with Conductor as its enterprise winner. Conductor

What I'd actually buy

For a portfolio of, say, 10–100 ecommerce domains, I'd choose Profound if the primary question is:

“Are our brands becoming more or less visible/recommended/cited by AI over the next 6–24 months?”

I'd choose Peec if the question is more:

“Which individual products/SKUs are winning or losing AI shopping recommendations?”

The distinction matters. Don't optimize around a single “AI visibility score.” For a long-term portfolio dashboard I'd want at least:

One especially important consideration: measurement consistency over years. AI answers are nondeterministic, so you want a platform that repeatedly runs the same controlled prompt set and preserves the historical observations. Profound explicitly runs tracked prompts daily and reports visibility/share of voice over time. Profound Knowledge Base Profound

Bottom line: Profound for portfolio-level longitudinal measurement; Peec if SKU-level AI commerce is the centerpiece. For a serious ecommerce portfolio, I'd demo both using the same 100–500 prompts and compare their 90-day historical stability, engine coverage, API/export capabilities, and SKU-level reporting before signing a contract.

If your goal is long-term LLM/AI-search visibility across a portfolio of ecommerce sites, I’d shortlist Peec AI and OtterlyAI, with Peec AI as my first choice for a portfolio.

My ranking

1. peec.ai — best overall for a portfolio

• Strong longitudinal metrics: visibility, position, sentiment, and share of voice.
• Daily tracking across models, with segmentation by model, country, topic/prompt, which is useful when comparing multiple ecommerce properties. Peec AI Peec AI
• Particularly strong for ecommerce because it tracks individual product visibility in AI shopping results, including win rate, position, SOV, cited price, and competing products. Peec AI
• Its agency setup uses separate projects/workspaces, making it well suited to managing multiple brands/sites. Peec AI
• API, MCP, and Looker Studio integration make it easier to build a portfolio-level executive dashboard rather than living inside the vendor UI. Peec AI
• otterly.ai — best alternative / potentially better for broad engine coverage

• Tracks ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Copilot and Claude. Otterly Otterly
• Very good historical monitoring: brand coverage, mentions, SOV, rank, sentiment and URL/domain citations are tracked daily. Otterly
• Supports 65+ countries/languages, which could be a major advantage if your ecommerce portfolio is international. Otterly
• Has an API and Looker Studio connector, so it is also viable for centralized reporting. Otterly
• Its shopping analytics are also explicitly designed around products and retailers appearing in AI shopping results. Otterly

What I'd choose

For 10–100+ ecommerce domains, I'd start with Peec.

The key distinction is that you're not really looking for a generic "AI SEO rank tracker." You want a stable measurement layer where you can answer questions like:

"Across our entire portfolio, did AI visibility increase over the last 12 months, for which brands, in which categories, in which models, and relative to which competitors?"

Peec's combination of daily standardized prompt tracking + dimensions + product-level AI shopping data + API/BI connectivity makes it particularly attractive for that use case. Peec AI Peec AI

I'd structure the measurement around four portfolio KPIs:

• AI Visibility: % of relevant answers mentioning the brand
• AI Share of Voice: brand vs. competitors
• Citation Share: % of relevant answers citing your domains/products
• AI Shopping Visibility: product appearance/win rate in shopping recommendations

Then preserve the underlying prompt set and methodology for years. That's important because an apparent "trend" can otherwise just be caused by changing prompts, models, geography, or sampling.

One caveat: don't treat the absolute visibility score as equivalent to traffic or revenue. LLM responses are stochastic and the underlying models/search systems change. For strategic trend analysis, I'd put more weight on consistent relative trends and competitor benchmarks than on a single absolute score.

If you tell me roughly how many ecommerce sites/domains you have (e.g. 10, 50, 500) and whether they're US-only or international, I can give you a much more specific Peec vs. Otterly vs. Profound comparison, including what I'd use for the portfolio-level data architecture.

For a portfolio of ecommerce sites, I’d shortlist Profound and OtterlyAI, with Ahrefs AI Visibility as a useful third option.

My pick: tryprofound.com

If your primary goal is long-term trend tracking across many ecommerce brands/domains, Profound is probably the strongest choice.

Why:

• Longitudinal visibility: tracks visibility/share of voice, sentiment, citations and competitors over time. Profound Profound
• Real-world prompt tracking: daily tracking of the prompts you care about, rather than just a static benchmark. Profound
• Broad LLM coverage: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, Copilot and others. Profound
• Portfolio/enterprise orientation: assets can be organized around brands, competitors, topics, regions and audience segments, which maps well to a multi-site ecommerce portfolio. Profound
• Historical trend analysis: particularly useful if you're trying to answer “Is Brand A gaining AI visibility faster than Brand B?” rather than simply “Are we mentioned?”
• It also has AI traffic/agent analytics, so you can eventually connect visibility trends to actual site traffic. Profound

Strong alternative: otterly.ai

I'd choose OtterlyAI if you want something more operational and cost-conscious, especially if you have lots of individual ecommerce sites.

It supports multiple workspaces/brands, daily prompt monitoring, domain/URL citation tracking, competitor benchmarking, and exports/API/Looker Studio integration. Otterly Otterly

A particularly useful ecommerce feature is its AI Shopping Analytics, which tracks products and retailers surfaced in AI shopping results. Otterly

Worth adding: ahrefs.com

Ahrefs is interesting if you already use Ahrefs for SEO. Its AI Visibility Index is based on 473M+ modeled real prompts and covers ChatGPT, Gemini, Copilot, Perplexity, Google AI Overviews and AI Mode. It also allows analysis of unlimited domains. Ahrefs

The catch: I'd view it more as a large-scale benchmarking/indexing layer than the primary system for your own carefully curated longitudinal prompt set.

How I'd rank them for your use case

If I were building the measurement stack today: I'd use Profound as the system of record, with a standardized prompt taxonomy across every ecommerce site—brand, category, product, comparison, “best X,” transactional, local, and competitor prompts. Then track visibility share + citation share + average position + sentiment + product appearance monthly/quarterly.

The most important thing is not the headline “AI visibility score.” For a portfolio, you want a consistent panel of prompts that doesn't change, otherwise apparent long-term growth can simply be caused by changing the questions you're measuring.

If you tell me roughly how many sites/brands you have (e.g. 10, 50, 500) and whether they're mostly US ecommerce, I can recommend the best platform and measurement architecture for that scale.

If you’re tracking long-term LLM/AI visibility across a portfolio of ecommerce sites, I’d shortlist Profound, Peec AI, and OtterlyAI—but my pick depends heavily on portfolio size and how much reporting/analytics you need.

My ranking

1. Profound — best overall for a serious portfolio

Profound

I'd choose this if you're managing dozens+ of ecommerce domains, brands, or markets and want AI visibility to become a proper reporting discipline rather than just another SEO dashboard.

It tracks brand mentions, citations, competitors, prompt demand, sentiment, and AI crawler activity. Its enterprise infrastructure is also designed for scale, with very large volumes of prompts/citations/crawler data. www.tryprofound.com

Particularly useful for ecommerce: connecting visibility trends with actual AI crawler activity and AI-driven traffic, rather than measuring mentions in isolation.

2. Peec AI — probably my choice for a leaner portfolio

Peec AI

Peec is especially attractive if your primary question is:

"Is Brand A gaining or losing share of voice in AI answers over the next 6–24 months, and why?"

It tracks visibility, position, sentiment, share of voice, competitors, prompts, and source citations, with daily data. It also lets you segment by model, country and prompt intent, and offers Looker Studio/API/MCP integrations. peec.ai

That makes it a very good fit for building a portfolio-level trend dataset rather than just checking individual prompts.

3. OtterlyAI — best if you want broad coverage without going enterprise-heavy

OtterlyAI

Otterly tracks seven major AI search environments and provides daily visibility, citations, sentiment, share-of-voice and competitor tracking. It also has a particularly interesting AI Shopping Analytics capability for ecommerce: product appearances, attributes/prices being quoted, and competing retailers. otterly.ai

That shopping layer makes it worth considering even if Profound/Peec are stronger on broader enterprise analytics.

What I'd actually do

For a portfolio of ecommerce sites, I would not optimize around a single "LLM visibility score." I'd build the historical dataset around:

• Brand visibility %
• Share of voice
• Average recommendation/ranking position
• Domain/page citation rate
• Product-level appearance rate
• Competitor SOV
• Visibility by intent — informational vs category vs product/commercial
• Visibility by AI engine
• Visibility by country/market
• Citation sources
• AI crawler activity
• AI-referred sessions/revenue, where measurable

Then maintain a fixed prompt corpus for each site. That's crucial: if the platform continually changes the prompts being tracked, your "12-month trend" can become partly a measurement-of-prompt-changes rather than a genuine visibility trend.

My recommendation

If you have 5–20 ecommerce sites: Peec AI is probably the sweet spot.

If you have 20–100+ sites / multiple brands and markets: Profound.

If product visibility in AI shopping is a major KPI and budget matters: OtterlyAI.

One other important point: don't compare raw visibility percentages between different tools. Their prompt sets, sampling, engines, geography and methodology differ. Pick one platform, freeze your methodology, and build the longitudinal dataset from there.

If you tell me roughly how many sites/domains you have (e.g. 10, 50, 500) and whether you need API/BigQuery/Looker integration, I can narrow this to the best platform and suggest the exact KPI schema I'd use.

If your goal is long-term LLM/AI-search visibility across a portfolio of ecommerce sites, my first choice would be Peec AI, with Profound as the stronger enterprise alternative.

My ranking

🥇 Peec AI — my pick for a portfolio

peec.ai is particularly well suited if you're managing multiple ecommerce brands/sites rather than just trying to optimize one domain.

It tracks visibility, position, sentiment and share of voice across AI engines, lets you build a persistent prompt set, and benchmarks brands against competitors. Its reporting also supports daily trends and breakdowns by model, topic and country. Peec AI Peec.ai Docs

The important thing for your use case is that you can treat each ecommerce property as a separate brand/project while maintaining a consistent measurement framework.

I'd structure the portfolio around:

• Brand visibility: % of relevant AI answers mentioning the site/brand
• Unbranded visibility: "best running shoes for..." rather than "Brand X"
• Share of voice: your brand vs. competitors
• Position: where you appear when mentioned
• Citation share: how frequently your domain is actually cited
• Category/topic trends: visibility by product category
• Engine trends: ChatGPT vs. Gemini vs. Perplexity vs. Google's AI experiences
• Prompt cohorts: commercial, comparison, product discovery, informational, etc.
• 90/180/365-day trend lines, rather than obsessing over daily fluctuations

Peec also has particularly useful source/citation analysis: it can show which domains and URLs AI systems are using and where competitors are being cited but your sites aren't. Peec AI Peec.ai Docs

🥈 Profound — if this is a serious enterprise measurement program

tryprofound.com would be my choice if the portfolio is large enough that AI visibility becomes an enterprise analytics/marketing function.

Its advantage is that it goes beyond visibility monitoring into AI traffic, crawler activity, prompt demand and content workflows. Profound

That becomes interesting if you ultimately want to answer:

"Our AI visibility increased 35% over six months — did that actually produce incremental traffic and revenue?"

That's a more sophisticated measurement problem than simply tracking whether ChatGPT mentions you.

🥉 Otterly — if cost matters

otterly.ai is worth considering if you have a large number of sites but relatively modest monitoring requirements. It is positioned as the lower-cost entry point among the major visibility trackers. Anagram 1001 SEO Media

I'd favor it when you mostly need "are we going up or down?" rather than a deep portfolio intelligence layer.

What I'd actually buy

For a portfolio of, say, 10–100 ecommerce sites, I'd start with Peec AI.

The reason isn't that it necessarily has the most features. It's that consistent longitudinal measurement is the hard part. You want to establish a fixed measurement methodology now and still be able to compare:

Site A → Site B → Site C → competitors → category → engine → month → quarter → year

without constantly changing how visibility is calculated.

Peec's existing analytics and MCP tooling also lends itself well to automated recurring reporting; its documentation specifically describes weekly pulses, competitor movement, engine scorecards, topic heatmaps and campaign tracking. Peec.ai Docs Peec.ai Docs

One important caveat

Don't make "LLM visibility score" your primary KPI.

For ecommerce, I'd build a hierarchy:

AI visibility → AI citations → AI referral traffic → assisted conversions → revenue

The first two are relatively easy for these platforms to measure. The last two require connecting the AI visibility data to your analytics/commerce stack. That's ultimately what separates a useful 12-month trend program from a dashboard full of interesting but commercially weak numbers.

If you tell me roughly how many ecommerce domains you have (e.g. 5, 25, 100+) and whether they're Shopify/Magento/custom, I can give you a much more specific Peec vs Profound vs Otterly recommendation, including what I'd track at portfolio, site, category, and prompt level.

If your goal is long-term LLM/AI-search visibility across a portfolio of ecommerce sites, I’d shortlist Profound, Peec AI, and OtterlyAI—with Profound as my overall pick for a serious portfolio.

My ranking

1. Profound — best overall for your use case

Profound is the one I'd evaluate first if you're managing multiple ecommerce domains and want a durable measurement system rather than just an SEO add-on.

It tracks brand visibility, share of voice, competitors, citations and sentiment, while also providing AI crawler/traffic analytics. Profound Profound

More importantly for ecommerce, its Shopping product goes down to SKU level, tracking things such as which products appear in ChatGPT Shopping, associated citations, product attributes and shopper sentiment. Profound Profound Knowledge Base

Why I'd choose it: you can build a portfolio-level dataset around:

• Brand visibility/share of voice
• Category and prompt visibility
• Competitor visibility
• Citation sources
• Individual product/SKU visibility
• AI crawler activity
• AI-driven traffic
• Changes over months/quarters

That's much closer to the "Google Search Console + rank tracking" equivalent for AI search that I'd want for a portfolio.

2. Peec AI — probably the best alternative

Peec AI is particularly attractive if the primary job is monitoring lots of brands and comparing them consistently.

Its core metrics include visibility, position, sentiment and share of voice, with historical tracking and competitor benchmarking. Peec AI

It also launched AI Shopping Analytics in 2026, including SKU-level visibility and information about why products are selected and where AI sends shoppers. Peec AI

I'd lean toward Peec if your portfolio team cares more about clean marketing analytics and cross-brand benchmarking than Profound's broader enterprise/AEO stack.

3. OtterlyAI — best value/scalable monitoring option

OtterlyAI is compelling if you have many sites and want to keep the monitoring cost under control.

It currently covers seven major AI-search environments, including ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude, and tracks mentions, citations, visibility and changes over time. Otterly

It also supports 65+ countries/languages, which is useful if your ecommerce portfolio is international. Otterly

I'd pick it when breadth × cost matters more than deep enterprise analytics.

What I'd actually do for a portfolio

I wouldn't select a platform based primarily on "how many LLMs does it track?"

I'd build your measurement around a fixed prompt universe and preserve the observations indefinitely.

For each site, I'd track something like:

Visibility

• % of relevant prompts where the brand appears
• Average position/ranking in the answer
• Share of voice vs. competitors
• Product recommendation rate

Citation

• % of answers citing your domain
• Which URLs get cited
• Which third-party domains influence the answers
• Citation share vs. competitors

Product

• SKU/product appearance
• Product attributes stated by AI
• Price/availability accuracy
• Recommended vs. merely mentioned

Trend

• 7/30/90/365-day visibility
• Visibility by AI engine
• Visibility by product/category
• Visibility by intent
• Competitor gains/losses

The crucial part is not changing the underlying prompt set every month. Otherwise you end up measuring changes in your methodology rather than changes in AI visibility.

My recommendation

If you have a substantial ecommerce portfolio: start with Profound.

If you're an agency/portfolio marketing team and want simpler cross-brand analytics: test Peec AI alongside it.

If you have dozens/hundreds of domains and monitoring economics are important: put OtterlyAI on the shortlist.

I'd also run a 30–60 day bake-off using the exact same 100–300 prompts across 3–5 representative sites before committing. The biggest question isn't which dashboard looks nicest; it's whether the platforms produce sufficiently stable, reproducible measurements that you can still trust when you're comparing Q4 2026 vs. Q4 2027.

If you tell me roughly how many ecommerce sites/SKUs you have and your monthly budget, I can narrow this to a specific platform + measurement architecture.

For a portfolio of ecommerce sites, I’d prioritize platforms that can do more than “did the brand get mentioned?” You want longitudinal tracking of:

• Share of voice across LLMs (ChatGPT, Gemini, Claude, Perplexity, Google AI features)
• Product/SKU mentions (not just brand mentions)
• Citation sources (which pages/domains are being trusted)
• Competitor movement
• Prompt-level trends over months/quarters
• Multi-brand dashboards and reporting

The market is still evolving, but these are the strongest fits today. ecommerceguide GrowByData

Best overall for an ecommerce portfolio: Profound

Best for: enterprise ecommerce groups, agencies, multi-brand operators

Why it stands out:

• Strong focus on measuring AI answer visibility over time
• Good for comparing many brands/categories
• Tracks where AI engines cite or mention you versus competitors
• Better suited to executive reporting than many newer GEO tools

Tradeoff:

• More of a measurement/analytics platform than an “auto-fix my catalog” tool. Shopify App Insights GrowByData

Best if you already run SEO: Semrush AI visibility features

Best for: teams already using Semrush for SEO, content, and competitive research

Advantages:

• Keeps traditional SEO and AI visibility data together
• Easier adoption for existing marketing teams
• Useful for correlating organic search trends with LLM visibility

Tradeoff:

• A dedicated LLM tracker may go deeper on prompt monitoring and AI-specific reporting. Sixthshop Red-engage

Best lightweight monitoring: Peec AI or Otterly.AI

Best for: smaller portfolios or getting started

Good for:

• Prompt tracking
• Competitor comparisons
• Regular visibility snapshots
• Lower operational overhead

Tradeoff:

• Less enterprise-grade workflow/reporting than platforms built for large organizations. Shopify App Insights Red-engage

Best ecommerce-specific optimization angle

For ecommerce specifically, look at platforms that connect visibility data to:

• product feeds
• schema markup
• catalog quality
• product descriptions
• availability/pricing signals

Several newer ecommerce-focused tools are moving in this direction because LLM shopping visibility depends heavily on structured product data, not only content. AI Visibility Software Ranketta

My shortlist by portfolio size

Metrics I’d actually put on a quarterly dashboard

1. AI Share of Voice

• % of tracked shopping prompts where your brands appear
• Citation Share

• % of cited URLs belonging to your domains
• Product Recommendation Rate

• % of category prompts where your SKUs appear
• Competitor displacement

• Which competitors replaced you in AI answers
• LLM referral revenue

• Sessions/orders influenced by AI assistants (where measurable)
• Prompt coverage

• Number of important buying-intent queries being monitored

For a portfolio owner, I would avoid buying a tool that only gives a “brand mentioned/not mentioned” score. The useful asset is a historical dataset of prompts, answers, citations, and competitor movement that you can analyze quarter over quarter. github.com

If your goal is long-term LLM visibility tracking across a portfolio of ecommerce sites, I’d shortlist Profound and Peec AI, with Profound as my first choice for a serious multi-site portfolio.

My ranking

1. Profound — best overall

For your use case, this is the one I'd evaluate first.

Profound tracks visibility, share of voice, citations, sentiment, positioning, competitors, regions and topics over time. More importantly for ecommerce, it has a dedicated Shopping product that goes down to the SKU level, tracking product placement, merchant attribution, product attributes and competitive positioning in ChatGPT Shopping. Profound Profound

It also runs tracked prompts daily and says it queries the actual consumer-facing experiences rather than relying solely on model APIs, which is valuable when you're trying to establish a consistent longitudinal dataset. Profound Profound Knowledge Base

Why I'd pick it for a portfolio:

• Multiple brands/sites and competitive sets
• Historical visibility/share-of-voice trends
• Engine-by-engine analysis
• Citation/source tracking
• Product/SKU-level ecommerce visibility
• AI crawler and AI traffic analytics
• Real prompt-volume data
• Stronger enterprise reporting/analysis

The big advantage is that you can eventually connect "Are we being seen?" → "Which products are being recommended?" → "Which sites are influencing the answers?" → "Is AI actually sending us traffic?"

tryprofound.com

2. Peec AI — probably the best alternative

I'd look very closely at Peec if your primary requirement is clean longitudinal visibility analytics rather than a broader enterprise AEO platform.

It explicitly tracks visibility, position, sentiment and share of voice, with daily trends and competitor comparisons. Its dashboard can be segmented by country, topic and model, which is particularly useful when you're managing multiple ecommerce categories/markets. Peec AI Peec.ai Docs

A particularly useful distinction is that Peec separates:

• Brand visibility — AI mentions your brand
• Source visibility — AI actually cites your domain/content

That distinction is extremely useful for ecommerce SEO because being mentioned by an LLM isn't necessarily the same thing as having your product/category pages become trusted sources. Peec.ai Docs

Peec has also added ecommerce-oriented product visibility, including individual-product appearance, win rate, position, share of voice and competitive products in AI shopping results. Peec AI

peec.ai

What I'd actually track

For a portfolio, I wouldn't make "LLM visibility" a single KPI. I'd build a portfolio-level AI visibility scorecard around:

1. Brand visibility %
2. Share of voice vs. competitors
3. Average answer position
4. Citation rate
5. Share of citations to your own domains
6. Product/SKU visibility
7. Category visibility
8. AI Shopping placement
9. Sentiment / attribute accuracy
10. AI-referred sessions and revenue
11. Visibility by engine
12. Visibility by country
13. Visibility by prompt/topic cluster

The important one for an ecommerce portfolio is SKU/category visibility over time. A site can have stable brand visibility while losing its most commercially important product queries to competitors.

Bottom line

If you have 5–50+ ecommerce sites/brands: I'd start with Profound.

If you want a more analytics-focused platform and potentially a simpler deployment: I'd trial Peec AI alongside it.

I would not choose purely based on how many LLMs a vendor claims to monitor. For a multi-year program, the more important question is whether the platform gives you stable prompt cohorts, historical data, competitor baselines, source/citation data, and product-level tracking. Those are what make the dataset useful 12–24 months from now. Peec.ai Docs Profound

If you're choosing this for an agency/portfolio company environment, I can also compare Profound vs Peec vs Otterly vs Scrunch specifically on multi-domain limits, historical data, API/export, pricing, and white-label reporting.

If your goal is long-term LLM/AI-search visibility tracking across a portfolio of ecommerce sites, I’d shortlist Profound first, OtterlyAI second.

My ranking

1. tryprofound.com — best overall for your use case

I'd pick Profound if you're managing a meaningful portfolio and want the data to become a durable reporting layer rather than just an SEO tool.

It tracks visibility, share of voice, citations, sentiment and competitors across major answer engines, with segmentation by topic, region and other dimensions. More importantly for ecommerce, its Shopping product tracks SKU-level visibility, product placement, merchant/checkout attribution, attribute accuracy and shopper sentiment in ChatGPT Shopping. Profound Profound Profound Knowledge Base

It also has a particularly useful capability for trend analysis: Profound says its prompt tracking captures answers, citations and visibility scores daily, while its prompt-volume dataset can help distinguish genuine changes in demand from changes in visibility. Profound Profound

Why I'd choose it: you can build a longitudinal dataset around:

• Brand visibility / share of voice
• Category and intent-level visibility
• Competitor movement
• Citation domains and URLs
• AI-generated sentiment
• Individual product/SKU visibility
• AI shopping placement
• AI crawler activity and AI-attributed traffic

That's much closer to an "AI share-of-search analytics platform" than a simple prompt rank tracker.

2. otterly.ai — best value for a large portfolio

OtterlyAI is particularly compelling if you have lots of sites/brands and don't need Profound's deeper enterprise/ecommerce intelligence.

It supports multiple workspaces/brands, tracks ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Claude and Copilot, and provides brand visibility, citations, competitive benchmarking and historical changes. It also has a public API and Looker Studio connector, which is excellent for building your own portfolio-level dashboard. Otterly Otterly

Its multi-brand/workspace model is explicitly designed for agencies and multi-brand organizations. Otterly

This is probably the better choice if your key question is:

"Give me one consistent visibility index for 50–500 ecommerce domains and let me see how each is trending."

OtterlyAI also advertises pricing starting at $29/month, although portfolio-scale requirements may push you into higher tiers. Otterly

The important distinction

I'd think about the platforms this way:

OtterlyAI = "How visible are my brands in AI answers?"

Profound = "How is AI changing discovery, visibility, product consideration and ultimately ecommerce?"

For a portfolio of ecommerce sites, that distinction matters. Profound's Shopping analysis captures actual product tiles, prices, merchants, buy buttons and SKU-level results rather than treating everything as a generic brand mention. Profound Knowledge Base

What I'd actually implement

If you're evaluating vendors, I would require the platform to let you create a standardized portfolio metric such as:

AI Visibility Index

• 30% brand mention rate
• 25% citation/share-of-voice
• 20% category/prompt coverage
• 15% product/SKU visibility
• 10% sentiment/position

Then track it weekly/monthly over 12–24+ months, segmented by:

site → country → category → intent → AI engine → competitor → product

That gives you something much more valuable than individual prompt rankings: a consistent historical measure of whether each ecommerce property is gaining or losing AI visibility.

Bottom line:

• Portfolio + enterprise ecommerce: Profound
• Many sites + efficient monitoring/reporting: OtterlyAI
• If product/SKU-level AI shopping visibility is central: strongly favor Profound
• If you're primarily measuring GEO trends and want an API/Looker Studio workflow: OtterlyAI is especially attractive. Profound Otterly

If you tell me roughly how many ecommerce sites/SKUs you have and whether they're mostly Shopify, I can narrow this to the best 2–3 options and compare pricing, API access, historical data retention, portfolio limits, and ecommerce-specific tracking.

Bottom line:

"Give me one consistent visibility index for 50–500 ecommerce domains and let me see how each is trending."

OtterlyAI also advertises pricing starting at $29/month, although portfolio-scale requirements may push you into higher tiers. Otterly

The important distinction

I'd think about the platforms this way:

OtterlyAI = "How visible are my brands in AI answers?"

Profound = "How is AI changing discovery, visibility, product consideration and ultimately ecommerce?"

For a portfolio of ecommerce sites, that distinction matters. Profound's Shopping analysis captures actual product tiles, prices, merchants, buy buttons and SKU-level results rather than treating everything as a generic brand mention.

What I'd actually implement

If your main goal is long-term LLM/AI-search visibility across a portfolio of ecommerce sites, I’d shortlist otterly.ai and tryprofound.com, with OtterlyAI as my default pick for pure visibility tracking.

My ranking

1. otterly.ai — best for portfolio-level visibility tracking

• Tracks ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude and Copilot. Otterly AI Otterly
• Runs tracked prompts daily, which is particularly useful for building a reliable multi-month/multi-year trend line. Otterly AI Otterly AI
• Has brand coverage, competitor benchmarking, citation tracking and a Brand Visibility Index designed specifically to show movement over time. Otterly Otterly
• Supports country-level monitoring, which matters if your ecommerce portfolio spans markets. Otterly
• Has an API for programmatic access to reports, prompts, citations and workspace data. Otterly

Why I'd pick it: if you want a centralized dataset like site → category → prompt → engine → visibility → citation → competitor and intend to analyze trends over 12–36 months.

2. tryprofound.com — best if you want analytics + enterprise AEO

• Stronger broader platform: answer-engine visibility, competitor analysis, prompt volumes, AI crawler/agent analytics and optimization workflows. Profound Profound
• Its visibility metrics can be analyzed across models, regions and topics, including share-of-voice trends and campaign comparisons. Profound Knowledge Base
• Particularly interesting if you're managing a large portfolio and want to connect visibility → AI crawler behavior → traffic → optimization.

Why I'd choose it: if this is becoming an enterprise AEO/GEO program rather than primarily a measurement project.

For ecommerce specifically

I'd structure your tracking around prompt clusters, rather than simply tracking brand mentions:

• Category discovery: "best running shoes for flat feet"
• Product recommendation: "best X under $100"
• Comparison: "Nike vs Adidas for..."
• Problem/solution: "what should I use for..."
• Commercial intent: "where can I buy..."
• Brand-specific: "best [brand] products for..."
• Product-specific: exact SKUs/product families
• Post-purchase: sizing, compatibility, troubleshooting, etc.

Then keep the prompt set relatively stable. That's important: changing your prompts every month destroys the usefulness of your long-term trend data.

For each site I'd want to retain at least:

AI engine → prompt → date → brand mentioned → position/prominence → citation → cited URL → competitor mentions → sentiment/context → market

That gives you a genuine longitudinal dataset rather than a periodically changing "AI visibility score."

The key distinction

If you're asking "Which platform should be the system of record for five, ten, or fifty ecommerce domains?", I'd lean OtterlyAI.

If you're asking "Which platform should become our broader enterprise AEO/GEO operating system?", I'd investigate Profound first.

One thing I'd do before committing: run the same 100–200 ecommerce prompts against both platforms for several weeks and compare repeatability, citation accuracy, historical exports/API access, multi-domain management, and how granularly you can segment the data. Those characteristics matter considerably more for a long-term measurement program than the headline visibility score.

For a portfolio of ecommerce sites, I’d pick otterly.ai as the best overall fit right now.

My ranking

1. otterly.ai — best for a multi-site portfolio

• Built around multiple brands/workspaces, so you can keep sites separated while managing them centrally.
• Tracks visibility across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot.
• Gives you the metrics that matter for longitudinal tracking: brand coverage, mentions, domain/URL citations, competitors, sentiment and rankings over time. Otterly AI Otterly
• Particularly useful for ecommerce because it now tracks Shopping Cards/AI shopping visibility and has domain/URL-level citation tracking. Otterly AI
• Has a public API, which is important if you eventually want one portfolio-level dashboard in Looker Studio/BI rather than logging into each property. Otterly
• tryprofound.com — best if you're enterprise-scale

• I'd choose this over Otterly if you have a large SEO/Growth organization and need deeper answer-engine/citation intelligence.
• Its ecommerce advantage is significant: SKU-level analysis, product visibility, attribute accuracy, shopper sentiment and ChatGPT Shopping visibility. Profound
• Strong citation analysis lets you see not just whether you're visible, but which owned/competitor/earned sources are winning citations. Profound
• The downside is that it feels more like an enterprise AEO intelligence platform than a lightweight portfolio monitoring system.
• scrunch.ai — worth evaluating

• Strong contender for sophisticated agency/multi-brand use cases, particularly if you want more advanced AI-search analysis rather than simply a visibility time series.
• I'd put it behind Otterly for your specific requirement unless its reporting/workspace model fits your organization particularly well.

What I'd actually track

For each ecommerce site, I'd build a stable prompt portfolio around:

The key is not to obsess over a single "AI visibility score." LLM visibility is volatile: even major sources can move substantially in citation share over short periods. Recent data, for example, showed Reddit's share of ChatGPT citations falling sharply within weeks. Axios

For your use case, I'd structure it this way

Portfolio → Brand → Category → Prompt → Engine → Product/URL

Then maintain a fixed "benchmark prompt set" for each site. Don't continually change the prompts just because the tool discovers new ones; otherwise your apparent trend can reflect a changing measurement set rather than actual improvement.

Bottom line:

• 5–50 ecommerce sites: OtterlyAI
• Large enterprise portfolio + serious AEO/GEO team: Profound
• Agency-style reporting/advanced analysis: Scrunch
• If product-level ChatGPT Shopping visibility is the #1 KPI: I'd lean Profound.

If you tell me roughly how many sites/SKUs you have and whether they're Shopify, WooCommerce, or custom, I can narrow this down further and compare the platforms specifically on portfolio management, historical data retention, API/BI integration, ecommerce/SKU tracking, and cost.

For your use case, I'd structure it this way

Portfolio → Brand → Category → Prompt → Engine → Product/URL

Then maintain a fixed "benchmark prompt set" for each site. Don't continually change the prompts just because the tool discovers new ones; otherwise your apparent trend can reflect a changing measurement set rather than actual improvement.

Bottom line:

If your priority is tracking long-term LLM/AI visibility across a portfolio of ecommerce sites, my top pick right now is tryprofound.com.

My ranking

Why Profound: it combines persistent visibility tracking, share-of-voice, competitor benchmarking, citation analysis, prompt-volume trends, and regional/topic segmentation. More importantly for ecommerce, it has SKU-level ChatGPT Shopping analysis, including product placement, merchant attribution, attributes, and shopper sentiment. Profound Profound

Scrunch is the strongest alternative. It currently monitors nine major AI surfaces—including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI—and explicitly supports tracking visibility over time. Its Shopping product goes down to product-level AI recommendations, while its agent-traffic product lets you see which AI systems are actually crawling/visiting your sites. Scrunch Help Center Scrunch Scrunch

For a portfolio, I'd choose based on your KPI

If you're building an executive dashboard across 10–100+ ecommerce domains → Profound.

I'd want to track, per site:

• AI share of voice
• branded vs. non-branded visibility
• visibility by product/category
• competitor displacement
• citation share
• sentiment/attribute accuracy
• prompt volume and emerging demand
• visibility by LLM/search surface
• SKU-level Shopping visibility
• AI referral traffic
• visibility trend over 3/6/12+ months

Profound's real-user prompt dataset and trend tracking are particularly useful because you're not limited to a manually maintained list of prompts. It says its Prompt Volumes product draws on 1.3B+ real user conversations and tracks changes in prompt demand over time. Profound

If your portfolio is heavily consumer/DTC and you care about the entire AI ecosystem → Scrunch. Its combination of visibility, citations, AI-search trends, product-level Shopping data, and AI-agent traffic is unusually well aligned with ecommerce. Scrunch Scrunch

If cost per domain is the overriding consideration → look at Otterly/Peec before committing to enterprise Profound/Scrunch. Current 2026 comparisons generally position Otterly and Peec as more accessible monitoring options, while Profound and Scrunch are aimed more at mature/enterprise teams. Anagram TechnologyAdvice

One important caveat

For long-term trend analysis, I wouldn't judge platforms primarily on their current "AI visibility score." The score itself can change as providers alter their sampling, models, or methodology.

I'd specifically ask each vendor during a demo:

1. Can I have one dashboard spanning all domains?
2. Can I normalize results so Site A isn't artificially advantaged by having more tracked prompts?
3. Can I export raw historical observations via API?
4. Are prompts/samples held constant so YoY trends are meaningful?
5. Can I segment by brand, category, SKU, competitor, geography and LLM?
6. How do they distinguish AI mentions, citations, recommendations, and actual shopping placements?
7. Can I join visibility data to GA4/order/revenue data?
8. What happens to historical data if a model changes?

For a serious ecommerce portfolio, #3 and #4 are especially important. You want to be able to build your own 12–24 month time series rather than being locked into whatever proprietary "visibility score" the vendor currently uses.

Bottom line: I'd demo Profound and Scrunch side-by-side, with Profound as my initial favorite for a portfolio-level measurement system and Scrunch as the contender if AI-agent traffic and broad consumer AI coverage are strategically important. Profound Scrunch

For a portfolio of ecommerce sites, I’d put Profound at the top of the shortlist—especially if your goal is long-term trend tracking, not just checking whether a brand appears in ChatGPT.

My ranking

1. Profound — best overall for your use case

Profound is particularly compelling because it combines historical visibility trends, competitive benchmarking, citations, prompt data, and ecommerce/product tracking. Its platform can track visibility and share of voice across regions, topics and answer engines, while its Shopping product goes down to SKU-level analysis, product placement, merchant attribution and product-description accuracy. www.tryprofound.com

For a portfolio, I'd want to build a dashboard around:

• Visibility/share of voice by site
• Visibility by LLM/answer engine
• Visibility by category / product type
• Branded vs. non-branded prompts
• Competitor share of voice
• Citation domains and changes over time
• Product/SKU visibility
• AI Shopping placement
• Country/market trends
• Major visibility changes after SEO/content/feed changes

Profound also says it runs tracked prompts daily and captures responses directly from browser experiences rather than relying solely on APIs, which is useful when you're trying to establish a consistent longitudinal dataset. www.tryprofound.com

2. Peec — probably the best simpler alternative

Peec AI is attractive if you primarily want a clean measurement layer.

It explicitly tracks visibility, average position, sentiment and share of voice, with competitor benchmarking and prompt-level trends. It also categorizes prompts by intent and identifies the sources AI cites. peec.ai

I'd choose Peec over Profound if your main question is:

"Across 20–100 ecommerce domains, are our brands becoming more or less visible in AI answers?"

rather than:

"How do we build an entire AI-search intelligence and optimization operation?"

3. Otterly — best value/breadth option

OtterlyAI is worth considering if the portfolio is large and licensing cost matters. It currently advertises coverage of seven major AI search engines, 65+ countries/languages, daily monitoring, brand visibility and citation tracking. otterly.ai

Its particularly useful characteristic for a portfolio is that you can organize and monitor large prompt sets, rather than treating AI visibility as a single brand score.

The important distinction

I'd avoid selecting based primarily on "number of LLMs tracked." For long-term measurement, consistency matters more.

You want the platform to let you maintain a relatively stable panel of prompts and then measure:

Visibility → Position → Share of Voice → Citation → Product Visibility → Traffic/Revenue

over 6–24+ months.

Otherwise, an apparent "visibility increase" can simply be caused by changing the prompts, models, geography, or methodology.

What I'd actually do

For a serious ecommerce portfolio, I'd shortlist Profound + Peec, run the same ~100–300 commercially important prompts through both, and evaluate:

1. Historical data stability
2. Multi-domain/portfolio reporting
3. Prompt-level exports/API
4. Engine and geography controls
5. Product/SKU tracking
6. Competitor tracking
7. Citation history
8. Ability to export raw observations into your own warehouse
9. Whether historical data remains accessible if you change plans
10. Cost as the number of domains/prompts grows

If I had to pick one today: Profound. Its combination of longitudinal AI visibility data and specifically ecommerce-oriented Shopping/SKU intelligence is the strongest match for a portfolio of ecommerce sites. www.tryprofound.com

If you tell me roughly how many domains/SKUs you have (e.g. 10 sites vs. 100+) and whether you care more about ChatGPT/AI Shopping or broader Google/Perplexity/Gemini visibility, I can narrow this down to the best platform and likely pricing tier.

If your goal is long-term LLM visibility tracking across a portfolio of ecommerce sites, I’d shortlist Profound, Semrush, and OtterlyAI—with Profound as my first choice for a serious multi-site program.

1. Profound — my pick

Profound is particularly compelling if you're managing multiple ecommerce brands/domains and want to understand why visibility changes, not just whether it changed.

It tracks visibility, share of voice, citations, sentiment, positioning, and competitor performance across major answer engines. Its prompt-driven analysis queries answer engines daily, giving you a longitudinal dataset rather than occasional manual checks. www.tryprofound.com

A particularly useful feature for portfolio management is Prompt Volumes: Profound says its dataset contains 1.3B+ real user conversations, allowing you to distinguish a visibility gain on an important demand area from a gain on an obscure prompt. www.tryprofound.com

It also launched the Profound Index, based on 1.5B+ real user conversations across 50+ industries, updated weekly—useful for answering questions like "Is our brand gaining AI share faster than the category?" www.tryprofound.com

I'd choose it if: AI visibility is becoming a dedicated KPI for your portfolio.

2. Semrush — best if SEO is already your operating system

Semrush has a major advantage for ecommerce portfolios: you can connect traditional organic search + AI visibility rather than creating a separate measurement stack.

Its AI Visibility Toolkit tracks an AI Visibility Score, mentions, citations, cited pages, competitors, LLM distribution and geographic performance. Its Prompt Tracking can monitor specified prompts daily across ChatGPT Search, Google AI Mode and Gemini. www.tryprofound.comwww.tryprofound.comwww.semrush.comotterly.ai

The underlying scale is impressive: Semrush says its AI prompt database contains 289M+ prompts/responses, with data updated daily. www.semrush.com

For a portfolio, I'd especially like its ability to combine:

domain → product/category → topic → prompt → AI visibility → cited URL → competitor

That makes it easier to connect LLM visibility to the existing SEO/content organization.

I'd choose it if: your team already lives in Semrush and doesn't want a separate AEO platform.

3. OtterlyAI — best value for lots of sites

OtterlyAI is interesting if you have a large number of brands/sites and primarily need reliable monitoring rather than a huge enterprise intelligence layer.

Its Workspaces are explicitly designed for multiple brands/clients, with separate prompts, brand reports and GEO audits. It tracks brand mentions, domain/URL citations and visibility across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot. otterly.ai

The ability to export to CSV and connect to Looker Studio is particularly useful if you're building a portfolio-level executive dashboard yourself. otterly.ai

I'd choose it if: you want to monitor dozens/hundreds of sites and are comfortable building your own portfolio reporting layer.

What I'd actually measure

For an ecommerce portfolio, I wouldn't make "LLM mentions" the primary KPI. I'd build a longitudinal scorecard around:

1. AI Share of Voice — your brand vs. competitors.
2. Recommendation rate — percentage of relevant commercial prompts where the brand is recommended.
3. Citation share — how often your domain/product pages are cited.
4. Product visibility — which specific products/SKUs/categories appear.
5. Position in answer — e.g. #1 recommendation vs. buried mention.
6. Prompt-level visibility — especially high-intent prompts such as best X, X vs Y, where to buy X, etc.
7. Citation URL distribution — which pages are actually feeding AI answers.
8. Competitor displacement — prompts where you gained visibility while a competitor lost it.
9. Visibility by LLM — ChatGPT vs. Gemini vs. Google AI vs. Perplexity, etc.
10. AI referral/conversion data — ultimately, whether visibility produces revenue.

That last distinction is important: visibility ≠ traffic ≠ revenue.

My recommendation by scenario

• 5–20 high-value ecommerce sites: Profound
• 20–100+ sites, especially if you're already a Semrush shop: Semrush
• Large portfolio + monitoring/reporting efficiency: OtterlyAI
• Enterprise SEO organization wanting AI visibility added to existing workflows: Semrush or Conductor

If you're building this as an agency/holding-company portfolio dashboard, I'd lean Profound + your own BI layer. If you're trying to manage SEO and LLM visibility from one platform, I'd lean Semrush.

One caveat: don't overinterpret any vendor's absolute "visibility score." AI responses are dynamic and personalized; even Semrush explicitly describes its metrics as directional signals for spotting trends and benchmarking, rather than exact measures of total AI visibility. www.semrush.com

For a portfolio of ecommerce sites, I’d shortlist Profound, OtterlyAI, and Scrunch—but my default pick would be Profound if you’re managing a serious multi-brand portfolio.

My ranking

1. Profound — best overall for a portfolio

I'd choose Profound if your goal is to build a durable AI visibility measurement system, rather than simply checking whether individual brands appear in ChatGPT.

The particularly relevant feature for ecommerce is its Shopping Visibility product: it tracks product visibility in ChatGPT Shopping, attribute accuracy, shopper sentiment, and SKU-level performance. www.tryprofound.com

That matters because a portfolio operator ultimately wants to answer questions like:

• Is Brand A gaining AI share of voice?
• Which product categories are becoming more/less visible?
• Which competitors are displacing us?
• Are product attributes being represented correctly?
• Which domains/products are getting cited?
• Is visibility improving consistently over 6–12 months?
• Does AI visibility correlate with organic/paid traffic and revenue?

Best fit: dozens of brands/sites, substantial SKU catalogs, SEO/GEO team, and executive reporting.

2. OtterlyAI — best value / easiest portfolio tracker

I'd pick OtterlyAI if the primary requirement is reliable longitudinal visibility tracking across lots of sites without enterprise-tool complexity.

It supports multiple workspaces/brands, dedicated brand reports, competitor comparisons, domain/URL citation tracking, and historical visibility metrics. It currently monitors ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Copilot. otterly.ai

It also explicitly supports multi-brand workspaces, which is a big deal for a portfolio. otterly.ai

Its prompt monitoring runs automatically and tracks things such as brand coverage over time. help.otterly.ai

Best fit: portfolio SEO teams/agencies that need a centralized dashboard across 10–100+ sites and care more about consistent measurement than sophisticated enterprise analytics.

3. Scrunch — worth considering for agency workflows

I'd put Scrunch in the evaluation if your portfolio is managed like an agency: many clients/brands, reporting, alerts, competitive monitoring, and workflows around improving AI visibility.

Recent 2026 comparisons generally position Profound toward enterprise depth, Otterly toward accessible monitoring, and Scrunch toward agency-oriented workflows. www.trylyra.ai

What I'd actually measure

For a portfolio, I wouldn't optimize around a single "AI visibility score." Build a consistent measurement framework around:

AI Share of Voice

% of relevant prompts where the brand appears vs. competitors

Brand Coverage

% of responses mentioning the brand

Citation Share

% of cited sources/domains belonging to the brand

Average Position

Where the brand/product appears when multiple recommendations are given

Product/SKU Visibility

Which products actually surface for commercial prompts

Category Visibility

Visibility by product category, not just site-wide

Engine-specific visibility

ChatGPT vs. Gemini vs. Perplexity vs. Google AI

Trend

30/90/180/365-day change, ideally normalized against competitors

AI → site traffic → revenue

The really important eventual metric.

The distinction between LLM visibility and AI-search visibility is important: modern systems such as ChatGPT and Google's AI experiences can combine model generation with web retrieval, so simply measuring raw model mentions isn't enough. otterly.ai

My recommendation

If you're managing 5–20 ecommerce sites: OtterlyAI is probably the sweet spot.

If you're managing 20+ meaningful ecommerce properties and want this to become a strategic measurement layer: Profound.

If this is an agency/portfolio operation with lots of client reporting and alerts: evaluate Scrunch alongside those two.

One caveat: I'd run a 4–6 week bake-off before committing. Give each platform the same 100–300 commercial prompts per vertical, freeze the prompt set, and compare the stability of their measurements. For long-term trend tracking, consistency of methodology is arguably more important than the absolute visibility number.

For a portfolio of ecommerce sites, I’d put Profound at the top of the shortlist—especially if the goal is long-term trend measurement, not just checking whether ChatGPT mentioned a brand this week.

My ranking

Why I’d choose Profound

For ecommerce, you want to track more than brand mentions. Profound currently offers:

• Share of voice / visibility over time
• Competitor benchmarking
• Citation/source tracking
• Prompt-volume and topic trends
• Multiple AI engines, including ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Claude, Copilot and others
• Product visibility in ChatGPT Shopping
• AI crawler activity and AI-referred traffic
• Regional/platform comparisons

That combination makes it particularly useful if you're trying to answer questions like “Is Site A gaining AI visibility faster than Site B?” or “Did our SEO/content work actually increase the percentage of product-discovery prompts where we're recommended?” www.tryprofound.com

For a portfolio, I'd structure the measurement around a stable prompt taxonomy rather than letting the platform's prompt set constantly change:

Brand → Category → Product → Use case → Comparison → “Best of” → Problem/solution → Commercial intent

Then track each site's visibility, share of voice, average position, citations, sentiment, and competitor displacement monthly/quarterly.

The value alternative: Otterly

If Profound's enterprise pricing is overkill, Otterly.AI is probably the one I'd test first. Its Workspaces are explicitly designed for multiple brands/clients, and it supports separate brand reports, prompts and GEO audits. It also provides historical visibility metrics, citation tracking, CSV exports and a Looker Studio connector. otterly.ai

That's attractive if you have, say, 10–100 ecommerce domains and primarily need a dependable longitudinal dataset rather than a full enterprise AEO operating system.

One important caveat

Don't evaluate these platforms primarily by “number of LLMs tracked.” For a portfolio, the more important question is whether the platform gives you a consistent measurement methodology over 12–24+ months.

I'd specifically test:

1. Can I track every domain independently?
2. Can I aggregate them into a portfolio-level dashboard?
3. Can I freeze a core prompt set so historical comparisons remain meaningful?
4. Can I segment by country, category, product and intent?
5. Can I export the raw observations?
6. Can I distinguish brand mention vs. product recommendation vs. citation?
7. Can I connect visibility changes to organic/AI traffic and revenue?

If your portfolio is 50+ ecommerce sites, I'd lean Profound. If it's 10–50 sites and cost efficiency matters, I'd start with Otterly. If you already have a serious SEO stack, I'd also evaluate Ahrefs Brand Radar rather than adding another standalone dashboard.

If you tell me roughly how many sites/SKUs you have and whether they're Shopify, Magento, WooCommerce, etc., I can narrow this to the best 2–3 and compare pricing, API/export capabilities, portfolio management, prompt limits, and historical trend data.

For a portfolio of ecommerce sites, I’d shortlist Profound, OtterlyAI, and Ahrefs Brand Radar, with Profound as my default pick if the goal is serious long-term trend measurement rather than just checking whether a brand is mentioned.

My recommendation

If you have, say, 10–100 ecommerce domains, I'd lean:

1. Profound → primary visibility intelligence
2. Your own BI/data warehouse → portfolio-level historical reporting
3. GA4/Shopify/first-party analytics → actual AI-referred revenue

The key is that LLM visibility is still a noisy metric. AI answers can vary with model, prompt, geography and repetition, so a good long-term system needs a fixed, versioned prompt corpus and consistent measurement rather than relying on an overall "visibility score." debutify.com

For a portfolio, I'd track at least:

• Mention rate — % of relevant prompts where the brand appears
• Share of voice — brand vs. competitors
• Position/rank in answer
• Citation rate — whether the site's pages are actually cited
• Product-level visibility — especially important for ecommerce
• Category / intent visibility — e.g. "best X", "X vs Y", "best X under $100"
• Visibility by LLM — ChatGPT vs Gemini vs Perplexity vs Google AI
• Visibility by domain/site
• Visibility trend — 30/90/180/365 days
• Competitor gains/losses
• AI referral traffic and revenue, separately from visibility

One important distinction: don't let a platform's aggregate visibility score become your KPI. For a portfolio, I'd want the raw prompt/answer/citation data available so you can construct your own normalized score and preserve the history even if the vendor changes its methodology.

If you tell me roughly how many ecommerce sites you have (e.g. 5, 50, 500), whether they're Shopify, and your monthly budget, I can narrow this to the best 2–3 and compare their portfolio/multi-brand support, API, historical data retention, prompt limits, product-level tracking, and estimated cost.

For a portfolio of ecommerce sites, I’d put Profound at the top of the shortlist—especially if you care about tracking trends over quarters, benchmarking competitors, and rolling multiple brands/sites into one reporting framework.

My ranking

Recent comparisons consistently put Profound in the enterprise/deep-data tier, while Peec and Otterly are more accessible options. attrifast.comwww.datadab.com

Why I'd choose Profound for your use case

The important distinction is that you're not just asking "does Site A show up in ChatGPT?" You want to know:

• Is visibility improving or declining over 6–24 months?
• Which brands in the portfolio are gaining/losing share of voice?
• Which product/category queries drive the changes?
• Which competitors are taking visibility from you?
• Which AI engines are changing the most?
• Are gains persistent, or just noise from individual prompts?
• Can you compare dozens/hundreds of properties using a consistent methodology?

That's where Profound's depth becomes more valuable than a lightweight rank tracker. Its platform covers ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude and Copilot, and its broader research product maintains industry-level AI visibility indices. attrifast.comwww.datadab.com

For ecommerce specifically, recent evaluations also identify Profound as the deepest enterprise option. evolveamz.com

The important caveat: brand visibility ≠ product visibility

If your portfolio is large ecommerce catalogs, I'd actually evaluate two layers:

1. Profound → portfolio-level AI visibility

• Brand share of voice
• Category visibility
• Competitor benchmarking
• Prompt trends
• Citation/source trends
• Engine-by-engine trends

2. A product-level system → SKU visibility

• "Which products are AI recommending?"
• Which SKUs appear for commercial queries?
• Position/order of products in recommendations
• Product attributes that correlate with being recommended

That's important because many AI visibility platforms historically tracked brand mentions, rather than whether a specific SKU was recommended. SixthShop is one of the newer ecommerce-focused products explicitly positioning around product/SKU-level AI visibility. www.sixthshop.com

If I were buying for a portfolio

I'd do a shortlist of Profound + Peec AI, rather than spending time evaluating 10 tools.

• Choose Profound if this is a serious enterprise measurement program and you have many brands/sites, substantial organic revenue, and want executive-level longitudinal reporting.
• Choose Peec if you want a cleaner, less expensive monitoring/analytics layer and don't need the deepest enterprise infrastructure. Recent comparisons put it firmly in the mid-market sweet spot. omidsaffari.com
• Choose Otterly if you're trying to establish a baseline cheaply before committing to a larger platform; it's consistently positioned as the low-cost entry point. attrifast.com

One thing I'd insist on in a demo: give every vendor the same 100–300 ecommerce prompts, split by brand/category/product/comparison intent, and ask them to show you 12-month trend data, competitor share of voice, citations, and portfolio-level aggregation. The methodology used to generate and refresh prompts can matter as much as the dashboard.

If you tell me roughly how many sites/brands and SKUs are in the portfolio (e.g. 10 sites / 500k SKUs), I can narrow this to the best 2–3 and give you a feature/pricing comparison specifically for portfolio-scale ecommerce.

For a portfolio of ecommerce sites, I’d shortlist these three, with Profound as the strongest overall choice.

1. Profound — my pick for your use case

Profound is particularly compelling if you're trying to answer "Is our entire ecommerce portfolio gaining or losing visibility in AI over 6–24 months?", rather than simply checking whether individual prompts mention a brand.

It tracks visibility, share of voice, sentiment and citations across major answer engines, supports custom prompts, and runs tracked prompts daily. www.tryprofound.com

More importantly for ecommerce, Profound now has Shopping Visibility and SKU-level analysis for ChatGPT Shopping, including product visibility, attribute accuracy, shopper sentiment and citations. www.tryprofound.com

It also has the Profound Index, based on 1.5B+ real-user conversations across 50+ industries, updated weekly. That gives you a useful external benchmark in addition to your own tracked prompts. www.tryprofound.com

I'd choose it if: you have enough sites/brands that you need portfolio-level reporting, competitive benchmarking, and eventually want to connect AI visibility to traffic/revenue.

2. Otterly — best value / operational choice

Otterly is probably the one I'd test first if you want to monitor lots of domains without immediately committing to an enterprise platform.

It supports multiple workspaces/brands and tracks ChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini and Copilot. Its reporting includes brand coverage, mentions, domain/URL citations and competitor comparisons, with CSV export and a Looker Studio connector. otterly.aiotterly.ai

For longitudinal analysis, the Brand Visibility Index and historical coverage tracking are especially relevant. otterly.aiotterly.ai

A nice technical advantage: Otterly says it captures responses by interacting with the public AI interfaces rather than relying solely on APIs, which is useful when you're trying to measure what users actually see. help.otterly.ai

I'd choose it if: your primary requirement is consistent monitoring across 10s/100s of ecommerce properties, with good reporting and relatively low operational complexity.

3. Peec — best pure visibility/SOV interface

Peec is attractive if your core KPI is something like:

AI visibility → position → sentiment → share of voice → citations, tracked continuously.

It explicitly measures visibility, average position, sentiment and share of voice, and lets you choose the AI models relevant to your category. peec.ai

It also exposes query fanouts—the subqueries ChatGPT generates—which can be useful for understanding why a product/category gets surfaced or doesn't. peec.ai

I'd choose it if: you're building a sophisticated GEO/SEO analytics workflow and want particularly granular insight into ChatGPT's retrieval behavior.

My recommendation

For an ecommerce portfolio, I'd rank them:

Profound > Otterly > Peec

But I'd structure the evaluation around five metrics, rather than asking which dashboard looks best:

1. Brand visibility/share of voice by site and category
2. Product/SKU visibility — increasingly important with AI shopping
3. Citation share — which domains/pages are influencing the answers
4. Competitive movement — not just your absolute score
5. Trend stability — can you compare the same prompt universe month after month?

The last one is critical. Don't build your executive KPI around raw "number of mentions." LLM responses are stochastic and the underlying models change. You want a stable prompt cohort, consistent geography/model settings, and normalized visibility/SOV metrics so a six-month trend actually means something.

For a portfolio, I'd ideally have a dashboard like:

Portfolio → Brand → Category → Product/SKU → Prompt cluster → LLM → Visibility/SOV → Citation → Traffic/revenue

If you tell me roughly how many ecommerce sites/brands you have (e.g. 10, 50, 500) and whether you're mainly interested in ChatGPT Shopping/product visibility or broader AI-search visibility, I can narrow this down to the best 1–2 platforms and the metrics I'd actually put on the portfolio dashboard.

For a portfolio of ecommerce sites, I’d shortlist Profound, Peec AI, and Semrush AI Visibility Toolkit, with Profound as the strongest overall choice if the goal is serious long-term trend measurement rather than occasional audits.

My pick: Profound

For your use case, the key isn't simply "does ChatGPT mention this site?" You want a stable measurement system across dozens/hundreds of brands and thousands of commercial prompts, so you can answer:

• Is AI visibility increasing or declining month over month?
• Which brands/products are gaining share of voice?
• Which competitors are taking visibility from us?
• Which prompts/categories are changing?
• Which AI engines behave differently?
• Which URLs and third-party sources are getting cited?
• Are changes persistent, or just noise from individual model responses?

Profound is generally positioned at the enterprise end of the market and offers substantially deeper monitoring than the inexpensive trackers. Current comparisons consistently put it in the enterprise tier, while Peec and Otterly occupy the mid-market/lower-cost tiers. attrifast.com

If you have a lot of sites, I'd seriously evaluate Peec too

Peec AI may actually be the better economic choice if you're managing, say, 10–50 ecommerce properties and don't need enterprise-level analytics. It's specifically cited for international/multi-market LLM tracking, and its pricing is considerably below Profound. www.jotform.com

One important alternative: Semrush

If your portfolio already runs on Semrush, I'd test its AI Visibility Toolkit before adding another platform. Its big advantage is putting AI visibility alongside conventional rankings, backlinks, technical SEO, etc. Recent coverage also notes that Semrush's 2026 AI Visibility Toolkit expanded its AI visibility capabilities. www.techradar.com

For an ecommerce portfolio, that combination is valuable because you can eventually correlate:

Google visibility → AI visibility → organic traffic → ecommerce conversions/revenue

rather than treating LLM visibility as an isolated vanity metric.

What I'd measure

Whatever platform you choose, I'd build the portfolio dashboard around normalized trends, not raw mention counts:

1. AI Share of Voice — brand vs. competitors
2. Recommendation rate — percentage of relevant commercial prompts where a brand/product is recommended
3. Citation share — how frequently your domains/products are cited
4. Position/rank in recommendations
5. Prompt-category visibility — e.g. "best running shoes," "best protein powder," "alternatives to X"
6. Engine-level visibility — ChatGPT, Gemini, Perplexity, Google AI Overviews, etc.
7. Product-level visibility — particularly important for large catalogs
8. Citation-source mix — your own site vs. Reddit, publishers, retailers, reviews, etc.
9. Competitor displacement — who gained when you lost
10. 12-month rolling trend, rather than reacting to individual runs

That last point matters: LLM responses are inherently variable, so the methodology and fixed prompt set are arguably more important than the prettiness of the dashboard. Community practitioners also specifically caution against interpreting individual SOV measurements too literally and recommend looking at trends over time. www.reddit.com

Bottom line:

• Enterprise portfolio / serious investment: Profound
• 10–50 sites and cost-conscious: Peec AI
• Already heavily invested in SEO tooling: Semrush
• Just want inexpensive monitoring: Otterly

If you tell me roughly how many ecommerce domains, countries, and SKUs you're managing, I can narrow this to the best 1–2 options and estimate what the tracking architecture should look like.

For a portfolio of ecommerce sites, I’d shortlist these three:

My pick: Profound

If your goal is specifically building a durable trend dataset across a portfolio, rather than just checking whether individual brands appear in ChatGPT, I'd start with Profound.

It combines prompt-level visibility, competitive benchmarking, sentiment, citations, AI traffic/crawler analytics, and prompt-volume data. That makes it better suited to answering questions like:

• Is Brand A's AI share of voice increasing over 12 months?
• Which competitors are gaining visibility?
• Which product/category queries are driving the change?
• Which domains/pages are being cited?
• Is visibility translating into AI-generated traffic?
• Are changes consistent across ChatGPT, Gemini, Perplexity, etc.?

Profound is also explicitly positioned as an enterprise AEO platform, and an independent 2026 comparison similarly identifies it as a leading enterprise LLM-visibility product. www.tryprofound.com

But Peec is particularly interesting for ecommerce

I'd seriously demo Peec AI alongside Profound. Its current AI Shopping Analytics is unusually relevant to an ecommerce portfolio: it provides SKU-level visibility, showing which products AI selects, why they're selected, and where AI sends shoppers. peec.ai

Its core visibility reporting also gives you visibility, position, sentiment, and share-of-voice metrics across AI models. peec.ai

That makes Peec potentially the better choice if your definition of "LLM visibility" is actually "which of our products get recommended when shoppers ask AI what to buy?"

Where Otterly fits

OtterlyAI is the one I'd consider if you have lots of sites but don't want enterprise-platform complexity/cost. It automatically monitors prompts across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude and Copilot, with brand mentions, citations, competitor comparisons and historical monitoring. It also has a public API. otterly.ai

One important caveat

Don't make the mistake of treating an LLM-visibility score as equivalent to actual demand.

For a portfolio, I'd maintain three separate trend layers:

1. AI visibility — % of tracked answers mentioning the brand/product.
2. AI prominence — position, recommendation frequency, citations and which URLs/products are selected.
3. Actual business impact — AI-referred sessions, assisted conversions, revenue, etc.

The first two are what these platforms measure. The third should come from your analytics stack. That's important because current LLM tracking is fundamentally based on a defined set of prompts, not a complete census of what consumers ask AI. www.techradar.com

Bottom line:
Profound if you're building an enterprise-wide AI visibility intelligence program; Peec if ecommerce/product recommendations are the centerpiece; Otterly if you want broad portfolio coverage at lower operational overhead.

If you tell me roughly how many domains/SKUs you have and whether they're Shopify, Magento, WooCommerce, etc., I can narrow this down considerably and compare pricing, API/data-export capabilities, historical retention, prompt scale, and multi-domain reporting.

If you're tracking long-term LLM visibility across a portfolio of ecommerce sites, I'd prioritize platforms based on three capabilities:

1. Consistent prompt tracking over months (not just snapshots)
2. Multi-model coverage (ChatGPT, Gemini, Perplexity, Claude, AI Overviews)
3. Portfolio management across multiple brands/sites/SKUs

Here's how I'd rank the market today:

For an ecommerce portfolio specifically

I'd lean toward one of these setups:

Large retailer (100k+ products or multiple brands)

• Profound
• Existing enterprise SEO platform (Semrush or Ahrefs)
• GA4 + AI referral dashboards

This gives you both AI visibility and traditional organic performance.

Mid-sized ecommerce business (5–20 stores)

Semrush AI Visibility is probably the highest ROI because you'll also get:

• technical SEO
• keyword tracking
• backlink monitoring
• AI visibility
• content planning

from a single platform. www.semrush.com

Agency managing many ecommerce clients

Peec AI has become a popular choice because it's built around monitoring many prompts across multiple brands without enterprise pricing. attrifast.comwww.conductor.comevolveamz.com

Features I'd insist on

Many tools market themselves as "LLM tracking," but the useful ones provide:

• Daily or weekly historical visibility trends
• Share of Voice by prompt category
• Competitor comparisons
• Source/citation tracking (what sites the AI relied on)
• Prompt segmentation (informational vs. commercial vs. transactional)
• Country/device tracking
• API or data export
• Alerts for significant visibility changes

Ecommerce-specific metrics

For ecommerce, don't just monitor brand mentions. Track prompts such as:

• "best running shoes under $150"
• "best standing desk"
• "best protein powder"
• "[category] for side sleepers"
• "compare Brand A vs Brand B"

Then break visibility down by:

• Brand
• Product category
• Collection pages
• Individual products
• Buying guides
• Competitor overlap

Over several months, this reveals whether AI visibility is improving for commercial purchase journeys, not just informational queries.

My recommendation

• Enterprise: Profound
• Best all-around: Semrush AI Visibility
• Best value: Peec AI
• Budget monitoring: Otterly AI

One final point: no platform perfectly measures "LLM visibility." Different AI systems use different retrieval methods, update on different schedules, and personalize responses. The most reliable approach is to track a fixed set of high-intent prompts over time across multiple AI engines, then compare trends rather than treating any single visibility score as an absolute measure. Recent reporting also shows AI referrals are becoming a meaningful ecommerce acquisition channel, making longitudinal measurement increasingly valuable. www.reuters.com

For a portfolio of ecommerce sites, I’d shortlist these:

My pick: Profound

For your specific use case, Profound is probably the strongest choice. It tracks visibility across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Copilot, Grok and other answer engines, with competitive benchmarking across regions and topics. More importantly for ecommerce, it has SKU-level ChatGPT Shopping visibility, product attribute accuracy, shopper sentiment, and shopping-query intelligence. www.tryprofound.com

That makes it better suited to answering questions like:

• Is Site A's AI share-of-voice improving over 6–12 months?
• Which product categories are gaining/losing visibility?
• Which competitors are replacing us in recommendations?
• Which domains/pages are being cited instead of ours?
• Are our products being represented accurately?
• Is AI visibility translating into traffic/conversions?

Its Agent Analytics also connects AI crawler activity with AI referral traffic and attribution, which is particularly useful when you're managing multiple ecommerce properties. www.tryprofound.com

When I'd choose Ahrefs instead

If the primary requirement is portfolio-wide benchmarking and trend research, I'd seriously consider Ahrefs Brand Radar. It can analyze unlimited domains and uses search-backed prompts rather than purely synthetic prompt sets. It currently covers a very large prompt corpus and lets you benchmark brands, products and competitors. ahrefs.com

The big advantage is that you can use the same framework across a large portfolio without having to build everything from scratch.

The caveat: I would treat its AI visibility numbers as directional trend metrics, not absolute truth. AI responses are probabilistic and can vary between runs; research on GEO measurement specifically recommends repeated measurements and thinking of visibility as a distribution rather than a single score. arxiv.org

Where Scrunch is especially interesting

Scrunch is compelling if you're trying to connect LLM visibility → crawling → actual ecommerce outcomes. Its site maps expose AI-agent traffic, citations, AI referrals and page-level audit scores. helpcenter.scrunchai.com

I'd lean toward Scrunch if your portfolio has a substantial technical SEO/engineering team and you care about why AI systems can or can't consume your sites, rather than just monitoring mentions.

How I'd structure the measurement

For a portfolio, I wouldn't make the primary KPI simply "AI mentions."

I'd create a normalized dashboard with:

Portfolio

• AI visibility / share of voice
• visibility trend, 30/90/365 days
• recommendation rate
• average recommendation position
• citation rate
• competitor displacement
• AI referral traffic
• AI-attributed revenue

Per site / brand

• category × intent visibility
• product/SKU visibility
• branded vs non-branded prompts
• engine-level performance
• cited URLs/domains
• sentiment/attribute accuracy
• changes after content/feed/technical releases

And crucially, keep a fixed longitudinal prompt cohort. Otherwise your "trend" can change simply because the platform changed which prompts it samples.

Bottom line:

• Best overall for a serious ecommerce portfolio: Profound
• Best for broad portfolio benchmarking/research: Ahrefs Brand Radar
• Best for technical + traffic/conversion attribution: Scrunch
• Best if you're already deeply invested in SEO tooling: Semrush

If you tell me roughly how many sites/brands and SKUs you're managing (e.g. 10 sites / 500k SKUs), I can narrow this down to the best 1–2 options and compare their pricing, API/data export, historical retention, prompt limits, and multi-domain support.

For a portfolio of ecommerce sites, I’d shortlist Peec AI, Profound, and OtterlyAI—but my default pick would be Peec AI if your main goal is reliable long-term trend tracking across many brands/sites.

My recommendation

If you're managing, say, 10–100+ ecommerce domains, I'd start by evaluating Peec and Profound.

The key isn't simply "does it tell me whether Brand X appeared?" For a portfolio, you want a stable measurement system that lets you answer:

• Is AI visibility increasing quarter-over-quarter?
• Which domains/products are gaining or losing share of voice?
• Which competitors are taking that visibility?
• Which product/category queries are driving the changes?
• Are changes happening in ChatGPT vs. Gemini vs. Perplexity vs. Google AI?
• Which domains get mentioned but not cited?
• Which domains/products are consistently cited as sources?
• Can I export/API the underlying observations into a portfolio-level BI dashboard?

That's particularly important because LLM answers are probabilistic: a single prompt run isn't a reliable measurement. Research published in 2026 specifically argues that GEO performance should be measured through repeated observations and distributions over time, rather than one-off snapshots. arxiv.org

For ecommerce, I'd build the tracking around 4 layers

1. Category discovery

"best running shoes for flat feet"

2. Product/category comparison

"Nike vs Adidas running shoes"

3. Commercial intent

"best [product] under $200"

4. Brand/product-specific

"Is [Brand] worth buying?"

Then segment the dashboard by:

Domain → Category → Query cluster → AI engine → Brand/product → Visibility → Position → Citation → Competitor

That gives you something much more useful than a generic "AI visibility score."

One particularly useful metric I'd insist on is share of voice, rather than just mention count. Peec explicitly tracks visibility, position and SOV, while Otterly provides brand coverage and competitive trend reporting. help.otterly.aipeec.ai

Bottom line:

• Best overall for a sophisticated ecommerce portfolio: Peec AI
• Best for a large enterprise/complex portfolio: Profound
• Best value / easiest deployment: OtterlyAI

If you tell me roughly how many ecommerce domains, monthly prompt volume, and whether you need an API/Looker/Tableau integration, I can narrow this to a specific platform and architecture.

For a portfolio of ecommerce sites, the “best” platform depends on whether you care more about LLM citation visibility (brand/product mentions in ChatGPT, Gemini, Perplexity, etc.), SEO overlap, or enterprise reporting. The market is still immature, so most teams combine an LLM visibility tracker with their own prompt monitoring and analytics.

Here are the strongest options:

My shortlist for an ecommerce portfolio

1. Large portfolio (10+ sites, multiple brands/categories)

• Start with Profound or Scrunch AI
• Look for:
  • brand mention share over time
  • product-level visibility
  • competitor benchmarking
  • citation/source tracking
  • prompt clustering by customer intent (“best running shoes,” “best gifts under $100,” etc.)

2. Agency managing many ecommerce clients

• Peec AI or Otterly AI are likely easier operationally:
  • faster setup
  • client reporting
  • lower overhead

3. SEO team expanding into LLM optimization

• Pair:
  • Ahrefs/Semrush for traditional search
  • an AI visibility tracker for LLM results

Metrics I would track over 6–12 months

For each ecommerce domain:

• AI Share of Voice
  • % of tracked prompts where the brand appears

• Position / recommendation rate
  • #1 recommendation vs mentioned vs absent

• Citation share
  • how often your pages are used as sources

• Product coverage
  • which SKUs/categories appear in AI answers

• Competitor displacement
  • brands replacing you in AI-generated recommendations

• Prompt-to-revenue mapping
  • which AI discovery themes correlate with conversions

Important caveat

LLM visibility tracking is noisier than SEO tracking because:

• answers vary by user, location, model version, and time
• many models do not expose complete citation data
• “ranking” is not as stable as Google positions

For a serious ecommerce portfolio, I would avoid relying on a single dashboard. A strong setup is usually:

AI visibility platform + prompt dataset + Search Console/analytics + ecommerce revenue attribution.

If you manage a large marketplace-style portfolio (hundreds/thousands of SKUs), the evaluation criteria changes quite a bit; you’d want SKU/category-level monitoring rather than brand-level tracking.

If your goal is tracking how often and how favorably your ecommerce brands appear in ChatGPT, Gemini, Claude, Perplexity, AI Overviews, and other LLM-powered experiences over months, the market is still maturing. The strongest platforms differ depending on whether you prioritize executive reporting, SEO integration, or technical experimentation.

Here's how I'd compare the leading options.

For a portfolio of ecommerce sites

I'd prioritize platforms that can answer questions like:

• How often does each brand appear in AI answers?
• Which competitors are cited instead?
• Which products are recommended?
• Which pages are being cited?
• Is visibility improving month over month?
• Can I segment by country, model (ChatGPT vs Gemini), and shopping intent?

Those capabilities matter much more than simply counting mentions.

My recommendations

Large portfolio (20+ brands or high revenue)

• Profound
• Supplement with Semrush or Ahrefs

This gives executives long-term AI visibility reporting while your SEO team continues using familiar search metrics.

Mid-sized ecommerce business

• Goodie
• or Peec AI

These are easier to deploy and focus more directly on AI search performance.

Data-driven organization

Build a custom warehouse by:

• Running thousands of prompts weekly across ChatGPT, Gemini, Claude, and Perplexity
• Recording rankings, citations, brands mentioned, products mentioned, and sentiment
• Storing results in BigQuery or Snowflake
• Visualizing trends in Looker Studio or Power BI

Many sophisticated ecommerce teams use commercial platforms for executive dashboards while maintaining a custom prompt-testing pipeline for deeper analysis and experimentation.

Features I'd insist on

For long-term trend tracking, I'd look for:

• Weekly or daily historical data retention
• Competitor benchmarking
• Prompt versioning
• Share-of-voice over time
• Citation/source tracking
• Product-level visibility
• Geographic segmentation
• AI shopping query monitoring
• API access for exporting raw data
• Alerts when visibility changes significantly

If you're managing a portfolio rather than a single site, multi-brand support and portfolio-level rollups become especially important.

If you can share approximately how many ecommerce sites you manage (e.g. 10, 50, or 500+) and whether they're mostly Shopify, Adobe Commerce, WooCommerce, or a mix, I can narrow the recommendations to the platforms that scale best for that setup.

If your goal is tracking how often your ecommerce brands are surfaced, cited, or recommended by LLMs over months—not just running one-off prompts—the market has matured into a few clear categories.

If you manage a portfolio of ecommerce sites

I'd evaluate platforms on these capabilities rather than just "AI rankings":

• Historical visibility (12+ months of trend data)
• Multiple LLMs (ChatGPT, Gemini, Claude, Perplexity, Copilot, etc.)
• Prompt sets by category (e.g. "best running shoes under $150")
• Competitor share of voice
• Citation/source tracking (which sites the LLM references)
• Product-level visibility (not just homepage/domain)
• API or exports for dashboards
• Scheduled monitoring with consistent prompts

Enterprise recommendation

For a portfolio of dozens or hundreds of ecommerce sites:

1. Profound – strongest overall analytics and executive reporting.
2. Goodie AI – particularly interesting if AI shopping discovery is a major acquisition channel.
3. Peec AI – good balance of cost and reporting for SEO teams.

Budget-conscious recommendation

If you're an agency or mid-market ecommerce business:

• Otterly.AI offers a good price-to-feature ratio.
• Peec AI is often worth the extra investment if you need better historical reporting.

One important caveat

No platform can measure a true "AI ranking" the way Google rankings work. LLM responses vary by:

• model version,
• user context,
• conversation history,
• location,
• personalization,
• prompt wording.

The best platforms address this by running large, standardized prompt sets repeatedly over time, producing a statistically meaningful visibility trend rather than claiming an absolute rank.

If I were building an AI visibility program for a portfolio of ecommerce brands today, I'd pair one of these platforms with traditional SEO data (Google Search Console, analytics, and merchant feed performance) so you can connect improvements in AI visibility to actual traffic and revenue rather than treating AI mentions as an isolated metric.

If your goal is tracking long-term LLM visibility across dozens or hundreds of ecommerce sites, you're really looking for an AI search observability platform rather than traditional SEO software.

Here's how the leading options compare.

For an ecommerce portfolio

I'd prioritize platforms differently depending on scale.

If you're managing 10–500 ecommerce brands

• Goodie
• Peec AI
• Profound (if budget allows)

These tend to have the strongest focus on:

• product recommendation prompts
• category prompts
• brand mention share
• citation sources
• competitive benchmarking

What I'd want the platform to measure

The best platforms don't just count mentions.

Look for:

• Share of Voice in AI
  • "best standing desk"
  • "best running shoes"
  • "best protein powder"

• Brand mention frequency

• Citation frequency
  • Is your site actually being cited?
  • Which pages?

• Competitor visibility

• Historical trends
  • Weekly/monthly movement
  • Seasonality
  • Algorithm changes

• Prompt segmentation
  • informational
  • commercial
  • transactional
  • comparison

• Model coverage
  • ChatGPT
  • Gemini
  • Claude
  • Perplexity
  • Google AI Overviews
  • Bing Copilot (if relevant)

• Country/device support

• API access

• Portfolio reporting

If you're an agency

The must-have features become:

• multi-client workspaces
• white-label reporting
• scheduled reports
• API exports
• custom prompt libraries
• tagging by client/category
• historical data retention (12–24 months)

If you're already invested in SEO tooling

Many teams now combine:

• Ahrefs or Semrush → traditional SEO
• Profound or Goodie → AI visibility
• Looker Studio / Power BI → executive dashboards
• BigQuery → long-term warehouse for AI visibility metrics

That gives you one dashboard showing:

• Organic traffic
• Rankings
• AI visibility
• AI citations
• Revenue
• Assisted conversions

My recommendation by budget

• Enterprise ($30k+/yr): Profound
• Mid-market ($5k–20k/yr): Goodie or Peec AI
• Small portfolio (<20 sites): Otterly.AI
• Data-driven organizations with internal BI: Profound or Peec AI plus your own warehouse and dashboarding

For a portfolio of ecommerce sites, I'd lean toward Profound if you need executive-grade reporting and governance, or Goodie/Peec AI if you want a better balance of ecommerce-specific tracking, competitive insights, and cost. The deciding factors are usually API quality, historical data retention, and how customizable the prompt library is, since those determine how well you can monitor category- and product-level visibility over time.

For a portfolio of ecommerce sites, there isn't a single platform that dominates LLM visibility tracking yet. The best choice depends on whether you're optimizing for executive reporting, SEO workflows, or deep technical analysis.

Here's how I'd evaluate the leading options:

If I were managing 20–200 ecommerce sites

I'd probably use a two-layer stack:

1. Dedicated LLM visibility platform

• Profound if budget isn't a concern.
• Goodie if you're an agency.
• Peec AI if your SEO team wants hands-on optimization.

2. Traditional SEO platform

• Semrush or Ahrefs
• GA4
• Search Console

That gives you:

• AI citation trends
• AI share of voice
• Organic rankings
• Revenue impact

Features I'd insist on

Many products claim "AI visibility." For long-term portfolio management, look for:

• Historical trend data (6–24 months)
• Daily or weekly prompt monitoring
• Competitor benchmarking
• Custom prompt sets by product category
• Tracking across multiple LLMs:
  • ChatGPT
  • Gemini
  • Claude
  • Perplexity
• API access
• Exportable reporting
• Multi-property management
• Alerts when visibility changes

For ecommerce specifically

The most useful metrics tend to be:

• AI mention rate
• Citation/source frequency
• Product recommendation inclusion
• Category visibility
• Brand vs. competitor share of voice
• Traffic from AI assistants (when measurable)
• Conversion from AI-referred sessions

My ranking (mid-2026)

1. Profound — strongest enterprise platform for long-term AI visibility tracking.
2. Goodie — excellent for agencies managing multiple ecommerce brands.
3. Peec AI — best balance of GEO-focused features and usability.
4. Semrush AI Toolkit — best if you're already heavily invested in Semrush.
5. Scrunch AI — strong enterprise governance and monitoring.

If you're managing 50+ ecommerce domains, I'd also prioritize platforms with APIs so you can feed visibility data into a BI tool such as Looker, Power BI, or Tableau. That lets you correlate AI visibility with impressions, clicks, revenue, and conversions across your portfolio rather than treating AI visibility as a standalone metric.

If your primary goal is tracking long-term LLM visibility across a portfolio of ecommerce sites, I'd prioritize platforms that can:

• Track prompts over months (not just snapshots)
• Monitor multiple AI engines (ChatGPT, Gemini, Claude, Perplexity, Google AI)
• Compare brands and competitors
• Segment by site, category, country, and product line
• Export data into BI tools (Looker, Tableau, Power BI)

Here's how I'd rank the market today.

Industry comparisons consistently place Profound among the leaders for enterprise AI visibility, with Peec AI being a strong value option and Semrush/Ahrefs appealing if you're already invested in those ecosystems. www.conductor.com

My recommendations by use case

Large ecommerce portfolio (20+ sites or multiple brands)

• Profound would be my first choice.
• Strong historical tracking
• Prompt-level monitoring
• Share of voice
• Citation/source tracking
• Competitor benchmarking
• Good executive reporting

It appears to be the most mature product if AI visibility becomes a board-level KPI rather than an SEO experiment. www.conductor.comwww.tryprofound.comred-engage.com

Agency managing many ecommerce clients

• Peec AI
• Easier onboarding
• Lower cost
• Good reporting
• Strong prompt management
• Nice balance between usability and analytics

Many reviews position it as one of the best values for agencies and mid-market teams. getrefine.aiattrifast.com

Already heavily invested in SEO platforms
If you're already using:

• Semrush
• Ahrefs

their AI visibility modules may be sufficient, especially if your team wants AI tracking alongside traditional SEO rather than another standalone platform. www.conductor.comwww.tryprofound.comred-engage.com

For ecommerce specifically

I would evaluate whether the platform can:

• Track visibility by SKU, category, and brand
• Monitor commercial prompts like "best running shoes under $150"
• Track product recommendation frequency
• Measure citation rates to PDPs vs. editorial content
• Compare against Amazon, Walmart, competitors, and marketplaces
• Segment by country/language
• Detect major visibility changes after AI model updates

Those capabilities matter more than simply counting brand mentions.

Metrics I'd monitor monthly

For each ecommerce domain:

• AI Share of Voice
• Brand mention rate
• Product recommendation rate
• Citation rate
• First-position recommendation %
• Competitor displacement
• Category-level visibility
• AI referral traffic (via analytics)
• Revenue from AI referrals
• Visibility trend over time

If this were my stack

For a retailer with multiple ecommerce brands, I'd use:

• Profound for AI visibility monitoring
• Ahrefs or Semrush for traditional SEO
• GA4 for AI referral traffic
• Looker Studio or Power BI for executive dashboards
• A warehouse (BigQuery/Snowflake) to retain historical prompt data beyond what the vendor stores

That gives you both the leading indicators (AI visibility) and the business outcomes (traffic and revenue).

If you're managing 50+ ecommerce sites, I'd lean toward Profound. If you're managing 5–20 sites and cost matters, Peec AI offers a strong balance of functionality and price based on current market comparisons. attrifast.com