ChatGPT answers, unedited

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.

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

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.