ChatGPT answers, unedited

Yes. Several platforms now measure AI share of voice across ChatGPT, Gemini, Perplexity, Claude, and other assistants, including ecommerce-focused options.

• Profound — enterprise AI visibility/answer-engine analytics, with ecommerce use cases. ecommerceguide
• Vialtry — specifically focused on D2C/ecommerce and AI Share of Voice across ChatGPT, Gemini, and Perplexity. Vialtry Vialtry
• SearchDock — tracks per-engine share of voice, mentions, and citations across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. SearchDock
• AEOVisor — tracks ecommerce/brand visibility across six AI engines and reports share of voice. AEOVisor
• Birdeye — broader business platform with AI-search share-of-voice reporting across ChatGPT, Gemini, Perplexity, Claude, Grok, and Google AI surfaces. support.birdeye.com

For an ecommerce site specifically, the key distinction is whether you want brand-level visibility or SKU/product-level visibility (e.g. “What percentage of answers recommending running shoes mention my products?”). The latter is a more specialized capability.

Yes. This category is usually called AI visibility, GEO/AEO tracking, or AI Share of Voice (SOV). There are now several platforms that specifically measure how often an ecommerce brand/product appears in answers from multiple AI assistants.

A few worth looking at:

• Profound — enterprise-oriented AI visibility platform; tracks brand presence across conversational/search AI surfaces and competitor visibility. It’s one of the platforms specifically identified for ecommerce use. ecommerceguide
• Search Atlas LLM Visibility — tracks visibility, sentiment, competitors, and share of voice across LLMs including ChatGPT, Gemini and Perplexity. SearchAtlas
• Birdeye AI Search — particularly interesting if you want a dashboard showing SOV by assistant. It supports ChatGPT, Gemini, Perplexity and has expanded coverage to Google AI Mode, AI Overviews, Grok and Claude. Birdeye Help Center Birdeye Help Center
• SkuLift — explicitly defines AI SOV around the percentage of generative answers mentioning/citing your brand, with tracking across ChatGPT, Claude, Perplexity and Gemini. SkuLift
• CrowdReply — focuses specifically on AI SOV, with breakdowns by LLM, prompt category and intent, plus competitor comparisons. CrowdReply
• SearchDock — interesting if you want a more rigorous measurement approach: repeated runs of the same prompts across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, then SOV calculated from the stored results. SearchDock
• Verity Score — has an ecommerce/Shopify orientation and measures AI SOV across multiple assistants, including ChatGPT, Perplexity, Gemini, Claude and Mistral. Verity Score

What I'd look for specifically for ecommerce

The important distinction is whether the platform merely counts brand mentions or actually measures competitive share of recommendation.

For example, you want something like:

And then ideally:

AI SOV → by assistant → by category → by prompt/intent → by product → over time

You also want citations/source attribution, because "ChatGPT mentioned us" and "ChatGPT recommended our product and cited our PDP" are very different outcomes.

There are also ecommerce-specific approaches emerging around product-level visibility, rather than just brand-level visibility. For example, SearchMention says it tracks whether stores are cited in actual shopper/product-recommendation prompts. searchmention.com

If you're evaluating this for an ecommerce business, I can also give you a shortlist of the 5–7 platforms that are actually strongest for ecommerce, with pricing, assistants covered, Shopify support, product-level tracking, SOV methodology, and API availability.

Yes. This category is usually called AI Search Visibility, Generative Engine Optimization (GEO) tracking, or AI Share of Voice. Several platforms now measure how often an ecommerce brand appears in recommendations across assistants like ChatGPT, Gemini, Claude, and Perplexity. CrowdReply AskLab

Examples:

• Profound — enterprise-focused AI visibility tracking.
• crowdreply.io — tracks brand mentions, citations, and competitor share across AI models.
• citelyhq.com — ecommerce-oriented tracking with product-level visibility.
• asklab.ai — monitors recommendations, citations, sentiment, and share of voice.
• foglift.io — tracks AI recommendations and competitor positioning.

For ecommerce, look for these features:

• SKU/product-level tracking (not just brand mentions)
• Shopping-query prompt sets (“best running shoes under $150”)
• Assistant breakdowns (ChatGPT vs Gemini vs Perplexity, etc.)
• Competitor share-of-answer metrics
• Citation/source analysis (which sites AI assistants rely on)
• Historical trends

The space is still immature compared with SEO tools, so many vendors are effectively creating their own “AI visibility score.” foglift.io The most useful metric is usually: % of relevant buyer-intent AI answers where your products appear vs competitors. actowizmetrics.com

Yes. There’s now a fairly clear category emerging around AI visibility / AI Share of Voice (SOV) / Generative Engine Optimization (GEO), and several platforms specifically cover ecommerce.

The important distinction is that you want something that measures product/buyer-intent queries, not just whether an AI mentions your company.

Platforms worth looking at

• zumihq.com — Probably one of the more interesting fits for ecommerce. Tracks mention rate, AI SOV, average position, competitors, and the sources behind recommendations across ChatGPT, Gemini, Perplexity, Claude, Copilot, AI Overviews, etc. It also has product-level visibility tracking. Zumi Zumi
• searchmention.com — Explicitly built for online stores. Runs buyer prompts across ChatGPT, Gemini, Perplexity and tracks which products are recommended, competitors, citations, SOV and AI traffic. SearchMention
• citelyhq.com — Ecommerce-focused, including SKU-level visibility and AI SOV across shopping queries. Particularly relevant if you have a large catalog. Citely
• vialtry.com — Focuses heavily on DTC/ecommerce and benchmarks AI SOV across ChatGPT, Gemini and Perplexity using large sets of product recommendation queries. Vialtry Vialtry
• rankvia.ai — More general AI visibility platform, but has a fairly explicit methodology for calculating AI SOV and platform-specific visibility. Rankvia
• foglift.io — Tracks AI SOV across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews, with the underlying prompts, answers and citations available for auditing. Foglift

What I'd look for specifically for an ecommerce site

The ideal dashboard would look something like:

That's materially more useful than a generic "AI visibility score."

One especially important point: SOV isn't standardized yet. Different vendors calculate it differently—some measure the percentage of answers containing your brand, while others calculate your share of all observed brand appearances. Rankvia, for example, explicitly defines SOV as observed appearances for your brand divided by observed appearances for your brand plus competitors. Rankvia So I'd compare the methodology before comparing scores between vendors.

If you're evaluating this because you're building/considering a product in this space, there's actually an interesting gap here: most tools measure brand visibility, while the ecommerce-native opportunity is SKU-level "AI shelf share" across shopping journeys—e.g. "best running shoes under $150" → which products did ChatGPT/Gemini/Perplexity recommend, why, and which competitor products displaced mine? SearchMention and Zumi are moving in that direction, but the category is still relatively early.

Yes. There’s now a fairly active category of AI visibility / AI Share of Voice (SoV) platforms that do essentially what you’re describing: run buyer-intent prompts across multiple conversational/search assistants, identify which brands/products get recommended, and calculate your share relative to competitors.

For ecommerce specifically, I’d look at these:

• searchmention.com — probably one of the closest matches. It is built for online stores and tracks products across ChatGPT, Gemini, Perplexity and more. It reports share of voice, mention rate, position, citations and competitor products, with prompts generated from your catalog. SearchMention
• citelyhq.com — ecommerce-focused; tracks ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews, including SKU-level visibility, rankings, citations, sentiment and competitor recommendations. Citely
• crowdreply.io — more explicitly centered around AI Share of Voice. It aggregates prompts by LLM, intent and category and shows which competitors are gaining/losing share. CrowdReply
• skulift.com — measures the percentage of generative answers mentioning/citing your brand across ChatGPT, Claude, Perplexity and Gemini. SkuLift
• asklab.ai — tracks recommendations, citations, sentiment, rankings and SoV across ChatGPT, Claude, Gemini and Perplexity. AskLab

There's also Google's own Merchant Center AI Performance report, which is particularly interesting if you're an ecommerce merchant. It now reports your share of voice versus competitors for conversational shopping queries, broken into discovery, evaluation and ready-to-buy stages. The catch is that it covers Google's AI ecosystem rather than giving you one cross-assistant score. Google Help

The important distinction

I'd separate these into two things:

1. Cross-assistant AI SoV

"Of all AI answers to best running shoes for flat feet, what percentage recommend Nike vs Hoka vs Brooks vs my brand?"

This is what the platforms above are primarily measuring.

2. AI shopping performance

"Which of my SKUs actually get recommended, at what position, with what product attributes, and which product page gets cited?"

That's much more ecommerce-specific and, IMO, more valuable than a generic brand-mention score.

The market is moving toward the latter. For example, SearchMention explicitly ties AI visibility to individual product pages and catalog data rather than simply asking whether the company name appeared. SearchMention

If you're thinking about building/buying one

The ideal dashboard I'd want for an ecommerce site would look something like:

And critically, I'd want the underlying prompt → assistant → answer → products mentioned → citations → competitor data, not just a mysterious "AI visibility score."

That's because AI answers aren't deterministic; a credible measurement system needs to sample prompts repeatedly rather than treating one answer as ground truth. Verity Score

So yes: the category exists, and it's getting quite mature. If you're evaluating this for an ecommerce business, SearchMention, Citely, and CrowdReply are three I'd investigate first, while Google's Merchant Center report is worth using alongside them.

If you're actually considering building a platform in this space, that's a more interesting question—the differentiation is not simply "track whether ChatGPT mentions a brand" anymore.

Yes. This category is now usually called AI visibility / AI share of voice / GEO tracking, and there are several platforms that can measure how often an ecommerce brand or product appears in answers from multiple conversational assistants.

A few worth looking at:

• shopmentions.com — probably the most ecommerce-specific option I found. It tracks Shopify stores across ChatGPT, Perplexity, Gemini, and Claude, including competitor share of voice and product-level visibility. Shop Mentions
• asklab.ai — tracks brand mentions, citations, sentiment, competitive share of voice, and sources across ChatGPT, Gemini, Perplexity and other AI search surfaces. AskLab
• skulift.com — specifically positions AI Share of Voice as the percentage of AI answers mentioning/citing your brand, with multi-sampling across ChatGPT, Claude, Perplexity and Gemini. Skulift
• zumihq.com — has a more mature dashboard concept: mention rate, share of voice, average position, competitor comparisons, and breakdowns by engine, including ChatGPT, Gemini, Perplexity, Claude, Copilot and AI Overviews. Zumi
• whaily.com — focuses on recurring buyer-intent queries and measures presence rate, citation rate, and consistency across ChatGPT, Gemini and Perplexity. Whaily
• verityscore.io — explicitly measures Share of AI Voice across ChatGPT, Perplexity, Gemini, Claude and Mistral, including ecommerce/DTC use cases. Verity Score

If you're thinking about this as an ecommerce analytics problem

The metric I'd want isn't simply "does ChatGPT mention me?" I'd want a dashboard roughly like:

And importantly, I'd segment the prompts by actual shopping intent:

• "best running shoes for flat feet"
• "best [category] under $100"
• "[your brand] vs [competitor]"
• "where should I buy [product]"
• "best products for [use case]"
• "[product] alternatives"
• "is [brand] worth it?"

That's because AI visibility can be very different from Google SEO visibility. Recent research is finding that strong traditional search rankings don't necessarily translate into AI recommendations. Vialtry Vialtry

If you're evaluating vendors, I'd shortlist Shop Mentions, Zumi, AskLab, and SkuLift first. Shop Mentions is the most obviously ecommerce/Shopify-oriented; Zumi looks stronger if you want a broader enterprise-style visibility dashboard.

If you're asking because you want to build this capability into an ecommerce analytics product, that's an especially interesting space—the underlying product could be considerably more sophisticated than the current "AI visibility score" tools.

Yes. AI “share of voice” across conversational assistants is now a real product category, often called AI visibility, AI search visibility, GEO/AEO tracking, or AI share of voice.

For an ecommerce site, I’d look at these:

• tryprofound.com — One of the more enterprise-oriented options for tracking how brands/products appear across AI search and conversational experiences. It’s particularly interesting if you want a serious analytics/optimization layer rather than just a simple rank tracker. A recent ecommerce-focused comparison puts Profound among the leading platforms. ecommerceguide
• seerly.app — Tracks live prompts across ChatGPT, Perplexity, Claude and other engines, including competitor share of voice and per-engine trends. Seerly
• citedspy.com — More directly aligned with your question: it tracks ChatGPT, Perplexity, Gemini, Copilot, Claude and Grok and reports share of voice, sentiment, citations and competitor comparisons. CitedSpy
• skulift.com — Explicitly defines AI SOV as the proportion of generative answers mentioning/citing your brand, with tracking across ChatGPT, Claude, Perplexity and Gemini. Skulift
• citelyhq.com — Particularly interesting for ecommerce/SKU-level analysis. It says it tracks individual products, queries and AI platforms, rather than merely whether the corporate brand gets mentioned. Citely
• lumirank.ai — Provides a straightforward visibility/SOV dashboard across ChatGPT, Gemini, Perplexity, Copilot, AI Overviews and Google AI Mode, including competitor comparisons. Lumirank.ai

The important distinction

If you're evaluating this for an ecommerce business, I wouldn't just look for “does ChatGPT mention my brand?”

The more useful measurement is something like:

For 1,000 high-intent shopping prompts, what percentage of AI answers recommend/cite my brand or products, versus competitors, broken down by assistant, category, product and query type?

For example:

That distinction matters because being mentioned once isn't the same as owning the conversation. Some platforms now explicitly calculate SOV relative to configured competitors, and multi-pass querying is important because AI responses aren't deterministic. Verity Score SearchDock

If you're thinking about building/buying one

There is actually a pretty interesting gap here. Most tools are still positioned around brand-level AI visibility, while an ecommerce-native product would ideally give you:

query → assistant → category → competitor → product/SKU → citation/source → recommendation position → SOV → conversion

For example, you could ask:

“Best running shoes for flat feet under $150”

and see that across ChatGPT, Gemini, Perplexity, Claude, etc.:

• Nike: 31% SOV
• Brooks: 24%
• ASICS: 17%
• Your brand: 6%
• Which specific SKUs were recommended
• Which sites/reviews caused the recommendation
• Which competitors displaced you
• How that changed week over week

That's substantially more useful to an ecommerce team than a generic “AI visibility score.”

There are already platforms moving in this direction; Citely is particularly explicit about SKU-level ecommerce visibility, while platforms such as Seerly and CitedSpy are stronger examples of cross-assistant competitive SOV. Citely Seerly CitedSpy

If you're asking because you're evaluating this as a potential product/category to build, I can also map out the current competitive landscape—who does what, pricing, assistants covered, SKU-level capabilities, APIs, and where the whitespace is.

If you're thinking about building/buying one

There is actually a pretty interesting gap here. Most tools are still positioned around brand-level AI visibility, while an ecommerce-native product would ideally give you:

query → assistant → category → competitor → product/SKU → citation/source → recommendation position → SOV → conversion

For example, you could ask:

“Best running shoes for flat feet under $150”

Yes. A few platforms are emerging that specifically track AI Share of Voice (AI SOV) / AI visibility for brands across conversational assistants (ChatGPT, Gemini, Claude, Perplexity, etc.). The category is still young and has a lot of overlap with “Generative Engine Optimization (GEO)” and “Answer Engine Optimization (AEO).” Verity Score CrowdReply

Some options to look at:

For an ecommerce brand, the metrics I would want from a platform are:

• Prompt coverage: hundreds/thousands of buyer prompts such as “best running shoes for flat feet” or “best skincare for sensitive skin”
• Assistant breakdown: ChatGPT vs Gemini vs Claude vs Perplexity vs shopping agents
• Brand mention rate: % of answers where your brand appears
• Citation share: % of cited sources/pages that belong to you
• Position/ranking: whether you appear as #1 recommendation, in the top 3, etc.
• Competitor comparison: who is taking your AI shelf space
• Conversion signals: AI referral traffic, assisted conversions, or product clicks where available

A key distinction: AI SOV is not the same as AI traffic share. A brand can be frequently mentioned but rarely clicked, while another brand may appear less often but receive more qualified traffic from assistants. Shop Mentions

If you are evaluating this for an ecommerce site, I would shortlist:

1. CrowdReply — closest to a classic “share of voice dashboard.”
2. Verity Score — more ecommerce/GEO oriented.
3. Tru Commerce — if your goal is measuring future AI shopping-agent revenue paths.

I’d also check whether the platform lets you upload your own buyer-intent prompt set; generic benchmarks are much less useful than tracking the exact queries your customers ask. gotcatalyst.com

Yes. There’s now a fairly mature category around AI visibility / AI Share of Voice / GEO (Generative Engine Optimization), and several platforms specifically measure how an ecommerce brand or its products show up across conversational assistants.

The key distinction is whether you want brand-level visibility or SKU/product-level visibility.

Platforms worth looking at

• tryprofound.com — one of the better-known enterprise AI-search visibility platforms. Tracks brand presence across conversational/search surfaces and competitors. It’s more enterprise/SEO-oriented than ecommerce-specific.
• goodie.ai — ecommerce-focused AI visibility, including tracking how products/brands appear in AI shopping recommendations.
• citelyhq.com — particularly interesting if you're an ecommerce operator. It claims SKU-level visibility across ChatGPT, Gemini, Claude, Perplexity and Google AI surfaces, including which products are recommended and competitor products appearing instead. Citely
• skulift.com — explicitly defines and measures AI Share of Voice across ChatGPT, Claude, Perplexity and Gemini, with competitive comparisons. Skulift
• foglift.io — tracks Share of Voice across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews, while retaining the underlying prompt, answer, competitor mentions and citations. That's useful if you want an auditable metric rather than just a black-box score. Foglift
• scoutllm.ai — tracks visibility, Share of Voice and average position across multiple AI engines on an ongoing basis. Scout LLM
• trysill.com — interesting for competitive research because it runs the same purchase-intent queries across ChatGPT, Gemini, Google AI Overviews and Perplexity and calculates per-platform SOV, position and sentiment. Sill

What I'd look for specifically for ecommerce

If your question is essentially:

“When someone asks ChatGPT/Claude/Gemini/Perplexity for products in my category, how often does my brand/product get recommended versus competitors?”

then I'd prioritize a platform that gives you this matrix:

And, importantly, underneath that:

Prompt → AI answer → brands mentioned → product mentioned → position → citation/source → sentiment

That's much more actionable than a single "AI visibility score."

There are already tools doing this. For example, SkuLift defines SOV as the proportion of AI answers in which your brand is present/cited, while Sill explicitly measures how prominently the brand appears relative to competitors. Skulift Sill

The ecommerce-specific opportunity

I'd actually go one level deeper than "brand Share of Voice."

For an ecommerce company, the really valuable metric is something like:

AI Product Share of Voice

Of all products recommended by AI assistants for a defined set of commercial queries, what percentage are our products?

For example:

"Best running shoes for flat feet under $150"

ChatGPT → 5 products
Perplexity → 7 products
Gemini → 6 products
Claude → 5 products

You could calculate:

Product SOV = your product appearances / total competitor product appearances

and separately track:

• Brand mention rate
• Product/SKU mention rate
• Recommendation rate
• Top-3 recommendation rate
• Citation rate
• AI-assistant-by-assistant SOV
• Competitor displacement — queries where competitors appear but you don't
• Source influence — which sites/content/reviews cause the AI to recommend you
• Conversion/referral traffic from AI

This is becoming particularly relevant because AI-referred ecommerce traffic is growing rapidly, while marketplaces and sites with structured product/catalog information appear to have an advantage in AI shopping results. TechRadar

So yes—the platform you're describing absolutely exists. If you're asking because you're evaluating this category as a potential product/business opportunity, that's even more interesting: I can map out the current vendors, their pricing/features, what's missing for ecommerce, and where there may still be a meaningful product gap.

Prompt → AI answer → brands mentioned → product mentioned → position → citation/source → sentiment

That's much more actionable than a single "AI visibility score."

There are already tools doing this. For example, SkuLift defines SOV as the proportion of AI answers in which your brand is present/cited, while Sill explicitly measures how prominently the brand appears relative to competitors. Skulift Sill

The ecommerce-specific opportunity

I'd actually go one level deeper than "brand Share of Voice."

For an ecommerce company, the really valuable metric is something like:

AI Product Share of Voice

Of all products recommended by AI assistants for a defined set of commercial queries, what percentage are our products?

For example:

"Best running shoes for flat feet under $150"

ChatGPT → 5 products
Perplexity → 7 products
Gemini → 6 products
Claude → 5 products

You could calculate:

Product SOV = your product appearances / total competitor product appearances

and separately track:

• Brand mention rate
• Product/SKU mention rate
• Recommendation rate
• Top-3 recommendation rate
• Citation rate
• AI-assistant-by-assistant SOV
• Competitor displacement — queries where competitors appear but you don't
• Source influence — which sites/content/reviews cause the AI to recommend you
• Conversion/referral traffic from AI

This is becoming particularly relevant because AI-referred ecommerce traffic is growing rapidly, while marketplaces and sites with structured product/catalog information appear to have an advantage in AI shopping results.

Yes. AI “share of voice” / AI visibility platforms are emerging specifically for this, and several now cover multiple conversational assistants rather than just ChatGPT.

For an ecommerce site, I’d shortlist:

• searchmention.com — particularly ecommerce-oriented. Tracks buyer prompts across ChatGPT, Gemini, Perplexity and more, including product-level recommendations, competitor wins, citations, share of voice, and AI traffic. SearchMention
• citelyhq.com — built around ecommerce AI visibility; tracks ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, with SKU-level visibility and competitor analysis. Citely
• brandofy.ai — tracks brand and product mentions across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, with explicit Share of Voice metrics. Brandofy
• tryprofound.com — a broader enterprise AI-search visibility platform; worth considering if you're looking beyond ecommerce into large-scale GEO/AEO monitoring. A current ecommerce-tool comparison ranks it among the leading platforms. ecommerceguide
• skulift.com — explicitly defines AI SOV as the percentage of generative answers mentioning/citing your brand, across ChatGPT, Claude, Perplexity and Gemini. SkuLift
• onpagepilot.com — broader coverage: ChatGPT, Gemini, Claude, Perplexity, Grok, Google AI Mode and AI Overviews, with daily SOV history and competitor comparisons. OnPagePilot

What I'd look for specifically

The important distinction is AI brand visibility vs. true ecommerce AI SOV.

For an ecommerce business, ideally the platform should let you define something like:

“best running shoes for flat feet”
“best moisturizer for sensitive skin”
“where should I buy a standing desk under $500?”

…and then repeatedly run those queries across ChatGPT + Gemini + Perplexity + Claude + Google AI, recording:

That's much more useful than simply asking whether ChatGPT knows your brand.

One particularly important point: don't rely on a single blended SOV number. The same shopping query can produce substantially different recommendations across assistants, so you want the underlying per-engine, per-query data as well as the aggregate. Foglift SearchDock

If you're evaluating this as a product/category

There is definitely a market here already, but the ecommerce-specific layer is still relatively new. Current platforms range from generic “AI visibility” monitoring to tools that actually understand catalogs/SKUs and shopping queries. ecommerceguide

If you tell me what kind of ecommerce site you have (e.g. Shopify/DTC, marketplace, large retailer) and roughly how many SKUs, I can give you a 5-tool comparison with pricing, assistants covered, SKU-level tracking, SOV methodology, and which I'd pick.

Yes. AI “share of voice” across conversational assistants is now a real category, often called AI search visibility, GEO (Generative Engine Optimization), or AI SOV.

For an ecommerce site, I’d look at these:

• citedspy.com — probably closest to what you're describing. Tracks ChatGPT, Perplexity, Gemini, Claude, Copilot and Grok, and reports mention rate, citations, sentiment, rankings, and competitor share of voice. CitedSpy
• citelyhq.com — particularly ecommerce-oriented. It tracks SKU/product-level visibility and buying queries across ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews. Citely
• seerly.app — has explicit category-level SOV, competitor comparison, trends, and per-engine breakdowns. Seerly
• support.birdeye.com — more of an enterprise/local-business platform, but its AI Search reporting includes SOV across ChatGPT, Gemini, Perplexity, Claude, Grok, Google AI Mode and AI Overviews. Birdeye Help Center Birdeye Help Center
• linksii.com — interesting if you want a more research/measurement-oriented approach; it measures brand visibility across ChatGPT, Claude, Gemini and Perplexity. Linksii

The metric you probably want

For ecommerce, I wouldn't just measure “does ChatGPT mention my brand?”

I'd build something like:

AI Share of Voice = % of relevant shopping prompts where your brand/product is recommended, relative to competitors

For example, give the system 500 prompts such as:

• “Best running shoes under $150”
• “Best running shoes for flat feet”
• “Nike vs Hoka for long-distance running”
• “Best sustainable running shoes”
• “Where should I buy running shoes online?”

Then run those prompts across:

ChatGPT | Gemini | Perplexity | Claude | Google AI Mode/Overviews

…and calculate:

That is considerably more useful than a generic “AI visibility score.”

There are already platforms explicitly doing this: for example, Seerly shows category SOV and per-engine SOV, while CitedSpy describes a competitor SOV dashboard across six AI engines. Seerly CitedSpy

If you're asking because you're evaluating/building a platform in this space, there is actually an interesting gap: most tools are still fundamentally brand-level GEO trackers, while ecommerce needs query → product/SKU → recommendation → competitor → citation → traffic/conversion measurement. Citely is one of the more explicitly ecommerce-focused products I've found. Citely

If you tell me roughly what kind of ecommerce site you have (Shopify/DTC, marketplace, large catalog, etc.), I can also give you a competitive landscape of the 10–15 platforms in this category, including pricing, assistants covered, SKU-level tracking, API availability, and which I'd pick.

Yes. There’s now a fairly mature category around AI search / AI visibility / AEO (answer-engine optimization) that does essentially this.

For an ecommerce site, I’d look at these:

• tryprofound.com — One of the better-known enterprise platforms for tracking how brands appear across AI search/assistants, including competitive visibility, citations, prompts, and trends. It’s particularly relevant if you want an enterprise-grade measurement layer.
• answyn.com — Explicitly reports share of voice, mentions, citations, sentiment, average position, and competitor rankings across ChatGPT, Gemini, Google AI surfaces, Perplexity, Claude, etc. Answyn
• seerly.app — Tracks live prompts across ChatGPT, Perplexity, Claude and other engines, with engine-by-engine visibility and competitor share of voice. Seerly
• skulift.com — Focuses specifically on AI Share of Voice, defining it as the percentage of generative answers mentioning/citing your brand across ChatGPT, Claude, Perplexity and Gemini. Skulift
• search-visibility.ai — Tracks visibility across nine AI models and compares your share of voice against competitors. AI Search Visibility
• asklantern.com — More lightweight; gives visibility and competitive share-of-voice reporting across ChatGPT, Perplexity and Gemini. Lantern

The important distinction for ecommerce

I'd separate "AI visibility" from the metric you're probably describing.

For an ecommerce brand, the useful dashboard would look something like:

That's materially more useful than a single "AI visibility score."

There are already platforms doing parts of this. For example, Answyn explicitly calculates share of voice as your percentage of monitored brand appearances relative to competitors, while SkuLift focuses on the proportion of AI answers in which a brand is present/cited. Answyn Skulift

If you're thinking about this as a product opportunity

I actually think there is still a gap specifically for ecommerce.

Most current AEO platforms are essentially brand-level SEO tools adapted to LLMs. They tend to think in terms of:

"Is Nike mentioned when someone asks about running shoes?"

An ecommerce-native product would need to think more like:

"Across 50,000 purchase-intent questions, what percentage of AI shopping journeys put my products on the shortlist—and which products, competitors, assistants, categories, and sources drive that?"

That could include:

• Category-level AI SOV
• SKU/product-level visibility
• "Best X" queries
• Comparison queries ("Nike vs Hoka")
• Problem/need queries ("running shoes for plantar fasciitis")
• Gift queries
• Price/budget queries
• Product discovery inside ChatGPT/AI shopping experiences
• Merchant/product-feed visibility
• Which third-party sites AI assistants use to recommend you
• Which competitors are stealing your mentions
• Revenue attribution from AI referrals

There's evidence the market is moving in exactly this direction: current ecommerce-focused AI-visibility products are already tracking ChatGPT, Perplexity, Claude, Gemini and Google AI surfaces, while some are explicitly positioning around ecommerce buyer prompts. ecommerceguide Shop2LLM

If you're evaluating vendors, I'd shortlist Profound, Answyn, Seerly and SkuLift first—but I'd judge them on whether they can measure product-level purchase-intent SOV, not just brand mentions.

If you tell me whether you're looking to buy a platform or considering building one, I can map the current competitive landscape and show you what each platform actually measures, pricing, API availability, and where the gaps are.

I actually think there is still a gap specifically for ecommerce.

Most current AEO platforms are essentially brand-level SEO tools adapted to LLMs. They tend to think in terms of:

"Is Nike mentioned when someone asks about running shoes?"

An ecommerce-native product would need to think more like:

"Across 50,000 purchase-intent questions, what percentage of AI shopping journeys put my products on the shortlist—and which products, competitors, assistants, categories, and sources drive that?"

That could include:

• Category-level AI SOV
• SKU/product-level visibility
• "Best X" queries
• Comparison queries ("Nike vs Hoka")
• Problem/need queries ("running shoes for plantar fasciitis")
• Gift queries
• Price/budget queries
• Product discovery inside ChatGPT/AI shopping experiences
• Merchant/product-feed visibility
• Which third-party sites AI assistants use to recommend you
• Which competitors are stealing your mentions
• Revenue attribution from AI referrals

There's evidence the market is moving in exactly this direction: current ecommerce-focused AI-visibility products are already tracking ChatGPT, Perplexity, Claude, Gemini and Google AI surfaces, while some are explicitly positioning around ecommerce buyer prompts.

If you're evaluating vendors, I'd shortlist Profound, Answyn, Seerly and SkuLift first—but I'd judge them on whether they can measure product-level purchase-intent SOV, not just brand mentions.

Yes. AI share of voice (SOV) is becoming a real category, and there are now several platforms that specifically measure how often an ecommerce brand/product gets mentioned or recommended across conversational AI.

A few worth looking at:

• brandofy.ai — Strong fit for DTC/ecommerce. Tracks ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, with share of voice, competitor comparisons, citations, sentiment, and trends. Brandofy
• zumihq.com — Particularly interesting if you're thinking at the SKU/product level. Tracks mention rate, SOV, position, competitors, and the sources behind recommendations across AI engines. Zumi
• bevisible.app — Ecommerce-oriented dashboard showing visibility, SOV and sentiment across multiple AI surfaces, including a Shopify-oriented workflow. BeVisible
• answyn.com — Broader AEO platform with SOV, competitor rankings, prompt tracking, citations and engine-level reporting across ChatGPT, Gemini, Google AI, Perplexity and Claude. Answyn
• shareof.ai — Explicitly positions itself around "Share of AI," tracking mentions, recommendation position, sentiment, competitors and cited sources. Shareof.ai
• citelyhq.com — More ecommerce/SKU focused; says it tracks buying queries across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, down to individual products. Citely

What I'd look for specifically

If you're evaluating this for an ecommerce site, I wouldn't settle for a generic "AI visibility score." The useful product is closer to:

For 500 high-intent shopping questions, what percentage of AI answers recommend my brand/products vs. competitors, broken down by assistant, category, query, product, and citation source?

For example:

That's much more actionable than simply knowing "your AI visibility is 63."

Google itself is also moving in this direction: Merchant Center now has AI Performance Insights that reports shopping visibility and share of voice for conversational queries on Google's AI Mode and AI Overviews, although that's obviously limited to Google's ecosystem. Google Help

If you're asking because you're evaluating/building a platform in this space, there's an interesting gap here: most current products seem to stop at monitoring SOV. The more valuable ecommerce product would connect AI SOV → specific SKUs → cited web sources/reviews → changes to product/content/PR → revenue attribution.

Yes. A few platforms are emerging specifically around AI share of voice (AI SOV), AI visibility, or generative engine optimization (GEO) for brands and ecommerce sites. They generally measure things like: “When shoppers ask ChatGPT, Gemini, Perplexity, Claude, etc. for recommendations in my category, how often does my brand appear vs. competitors?” Verity Score CrowdReply

Some options:

For an ecommerce site, the metrics I would care about are slightly different from traditional SEO:

• Brand mention rate — % of relevant shopper prompts where your brand appears
• Recommendation share — how often you are in the “top picks” list
• Citation share — how often AI systems cite your site, reviews, guides, or product pages
• Competitor displacement — which competitors appear instead of you
• Model-by-model visibility — ChatGPT vs Gemini vs Perplexity vs Claude
• Product-level visibility — whether specific SKUs get recommended
• Conversion attribution — AI referral traffic and revenue (still an emerging capability) EMARKETER

A typical setup for a DTC ecommerce brand would be:

1. Build a prompt set (e.g., “best running shoes for flat feet,” “alternatives to Brand X,” “best gifts under $100”).
2. Run those prompts weekly/monthly across AI assistants.
3. Calculate your share of mentions/recommendations.
4. Compare against competitors.
5. Optimize product pages, reviews, structured data, and third-party mentions.

One caveat: “AI SOV” is still a relatively new category, and different vendors calculate it differently (some count any mention, some weight ranking position, some count citations). Verity Score Shop Mentions

If you’re evaluating this for an ecommerce brand, I’d shortlist based on size:

• Enterprise: Profound, Peec AI, Scrunch AI
• Mid-market/DTC: Otterly, CrowdReply, Verity Score
• DIY: build a prompt tracker + API-based monitoring workflow

I can also put together a comparison matrix of these platforms (pricing, AI engines covered, ecommerce features, Shopify support, APIs, etc.) if useful.

Yes. There’s now a growing category of AI visibility / GEO platforms that measure something very close to “share of voice” across conversational assistants.

For an ecommerce site, I’d look at these:

• verityscore.io — explicitly measures Share of AI Voice across ChatGPT, Perplexity, Gemini, Claude and Mistral, including competitors and ecommerce/DTC use cases. It emphasizes repeated sampling because AI responses are nondeterministic. Verity Score
• shopmentions.com — particularly ecommerce-oriented. It tracks stores/products across ChatGPT, Perplexity, Gemini and Claude and reports share of voice versus competitors, including at the product level. Shop Mentions
• skulift.com — measures AI SOV across ChatGPT, Claude, Perplexity and Gemini, with an emphasis on brand mentions/citations and competitive visibility. SkuLift
• any-eo.com — interesting if you want a more sophisticated metric. It uses position-weighted share of voice, so being the first recommendation counts more than appearing fifth. AnyEO
• trygeometrics.com — tracks AI share of voice across ChatGPT, Gemini, Perplexity and other response engines. GEO Metrics
• indexly.ai — provides a methodology for measuring SOV across ChatGPT, Gemini and Perplexity using recurring buyer-intent prompts and competitor comparisons. Indexly

What I'd want for an ecommerce brand

The important distinction is that “AI visibility” isn't necessarily the same as AI share of voice.

A useful ecommerce dashboard would ideally show something like:

And then drill down by product/category + buyer intent, e.g.:

• “best running shoes for flat feet”
• “best moisturizer for sensitive skin”
• “Brand X vs Brand Y”
• “best [product] under $100”
• “where should I buy [product]?”
• “alternatives to [competitor]”

That's much more actionable than a generic AI visibility score.

One caveat

This market is still pretty immature. Different vendors define SOV differently—some count whether you're mentioned, some count citations, and others weight position/prominence. AI responses also vary from run to run, so a credible system should run the same prompt multiple times and report a range rather than treating one answer as ground truth. Verity Score AnyEO

If you're asking because you're evaluating/building a product in this space, I can also map out the current competitive landscape (platform → assistants covered → ecommerce capabilities → pricing → API/data access) and identify where there's still a gap.

Yes. This category is emerging under names like AI Share of Voice (AI SOV), AI visibility tracking, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO). For an ecommerce site, the goal is usually to measure:

• How often ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, etc. mention your brand
• Your share of mentions versus competitors
• Which product/category queries you win or lose
• Whether you appear in the top recommendations
• What sources/citations are influencing AI answers Verity Score ecommerceguide

Some platforms to look at:

For ecommerce specifically, I would prioritize tools that support:

• Product-level queries (“best running shoes for flat feet”, “alternatives to Brand X”)
• Category benchmarking
• Citation/source analysis
• Tracking by AI assistant (ChatGPT vs Gemini vs Claude vs Perplexity)
• Historical trends (weekly/monthly SOV movement) Shop Mentions ecommerceguide

A typical measurement framework looks like:

AI Share of Voice (%)
= % of relevant AI answers where your brand appears ÷ total tracked answers

Then add:

• Recommendation rate — how often AI actually recommends you vs merely mentions you
• Position share — average rank in AI-generated lists
• Citation share — how often AI cites your pages/reviews/content
• Sentiment — whether AI describes you positively or negatively

If you are running a Shopify/DTC store, I’d look first at ecommerce-oriented options rather than general SEO suites; if you are an enterprise retailer, Profound/Semrush-style platforms are closer to what SEO teams are used to. ecommerceguide

I can also put together a comparison of these platforms by price, AI assistants covered, Shopify compatibility, and enterprise readiness if useful.

Yes. There’s now a fairly active category of tools that measure AI / LLM share of voice—essentially, “when shoppers ask AI which products or brands to buy, how often does my brand get mentioned/recommended versus competitors?”

For an ecommerce site, I’d look at these:

• authoritas.com — probably one of the more ecommerce-specific options. It tracks AI share of voice for branded and unbranded product searches, competitor citations, and visibility by category, persona, journey stage, etc. Authoritas
• searchmention.com — specifically geared toward online stores. It runs buyer prompts across ChatGPT, Gemini, and Perplexity and reports visibility, share of voice, product mentions, competitor wins, citations, and sentiment. SearchMention
• zumihq.com — particularly interesting if you care about product-level visibility. It tracks mention rate, share of voice, average position, competitors, and the sources AI uses when recommending products. Zumi
• sona.com — broader AI visibility platform with daily visibility/SOV, per-prompt analysis, sentiment, and citation-source analysis. Sona
• crowdreply.io — explicitly calculates SOV across ChatGPT, Gemini, Perplexity and other models, with prompt/category/intent segmentation. CrowdReply
• skulift.com — more focused on measuring brand presence/citations across ChatGPT, Claude, Perplexity and Gemini. SkuLift

There are also simpler/free options such as asklab.ai, which provides visibility, citations, sentiment and SOV across several assistants. AskLab

The interesting distinction

I'd separate these products into two buckets:

1. “SEO for AI” platforms
They tend to answer: How visible is my brand in ChatGPT/Claude/Gemini/Perplexity?

2. Ecommerce/product AI visibility platforms
They answer the much more useful question: When someone is actually shopping, which of my SKUs gets recommended, against which competitors, and why?

For ecommerce, I'd favor #2. For example, you want to be able to ask something like:

“Best running shoes for someone with flat feet under $150”

and see:

Then drill into which products were recommended, position in the answer, citations/sources, sentiment, and the exact prompts where you lost.

That's much closer to an actual “AI equivalent of Semrush/Ahrefs share-of-voice reporting” than simply tracking whether ChatGPT mentions your company.

One particularly interesting development is that Google Merchant Center itself now has an “AI performance insights” report in pilot, including share of voice against competitors for conversational shopping queries, although it's currently limited in availability. Google Help

If you're evaluating this category as a potential product/business opportunity, rather than just looking for a tool to use, that's an even more interesting question—there's still a gap between generic “AI visibility” tracking and a true ecommerce AI Share of Voice / product intelligence platform.

Yes. A few platforms are emerging that measure AI share of voice (SoV) — essentially: when shoppers ask ChatGPT, Gemini, Claude, Perplexity, etc. for recommendations, how often does your ecommerce brand/product appear compared with competitors? saidly.ai

Some options to look at:

There are also ecommerce-specific visibility trackers. For example, helloranked publishes AI visibility rankings showing how often assistants such as ChatGPT, Claude, Gemini, and Perplexity mention brands in response to buyer-style prompts. helloranked.com

For an ecommerce site, the metrics I would look for are:

• Brand mention rate — % of tracked shopping prompts where your brand appears
• Recommendation share — how often you are recommended vs competitors
• Position/rank — #1, #2, etc. placement in AI answers
• Citation share — which sources AI systems rely on when mentioning you
• Model-by-model visibility — ChatGPT vs Gemini vs Claude vs Perplexity
• Product-level visibility — whether specific SKUs/categories appear
• Sentiment/accuracy — whether assistants describe products correctly
• Conversion attribution — AI referral traffic and revenue where possible

A typical setup for an ecommerce brand would be:

1. Define 100–500 shopping prompts customers might ask (e.g., "best running shoes for flat feet", "alternatives to X product").
2. Run them across ChatGPT, Gemini, Claude, Perplexity, etc.
3. Track brand/product appearance over time.
4. Optimize product feeds, reviews, comparison pages, structured data, and third-party references.

One caveat: this space is still immature. There is no equivalent of Google Search Console for AI assistants yet, so most tools rely on prompt panels and repeated measurements rather than complete market share data. saidly.ai

If you mean "share of voice specifically for an ecommerce retailer's products (Amazon-style shopping discovery)" rather than general brand mentions, the shortlist changes a bit.

Yes. This is becoming a real category, usually called AI search visibility, GEO (Generative Engine Optimization), or AI Share of Voice.

For an ecommerce site, I’d look specifically for platforms that measure product/buying queries, not just whether an LLM mentions your brand.

Platforms worth looking at

• indexly.ai — Tracks share of voice, mentions, citations, sentiment, and AI referral traffic across ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews. It also breaks SOV down by individual engine. Indexly
• citelyhq.com — Particularly ecommerce-oriented. It runs buying queries and can track product/SKU-level visibility, competitors, mentions, citations and sentiment across ChatGPT, Gemini, Claude, Perplexity and AI Overviews. Citely
• support.birdeye.com — Has explicit share-of-voice vs competitors, with visibility by ChatGPT, Gemini, Perplexity, Claude, Grok, Google AI Mode and AI Overviews. Birdeye Help Center
• seerly.app — Runs live prompts and shows engine-level visibility plus competitor SOV; useful if you want to inspect the actual responses behind the score. Seerly
• searchmention.com — More explicitly aimed at stores: it generates buyer-shaped prompts from your catalog/categories and tracks which brands/products get mentioned or cited across AI engines. SearchMention
• skulift.com — Focuses specifically on AI Share of Voice and defines it around the proportion of generative answers in which your brand is present/cited, with multi-sampling across engines. SkuLift

The metric I'd want for ecommerce

Rather than a generic "AI visibility score," I'd want a dashboard roughly like:

And then:

Your brand

• Overall AI SOV: 18.4%
• ChatGPT: 14%
• Gemini: 22%
• Perplexity: 27%
• Claude: 11%
• Product-level SOV: 16%
• Citation share: 9%
• Recommendation/win rate: 21%

Competitors

• Nike: 31%
• Adidas: 24%
• Brooks: 18%
• Your brand: 18%
• Others: 9%

That's materially more useful than simply asking "does ChatGPT know my brand?"

One important caveat: SOV isn't yet a standardized metric. Different vendors define it differently—some count any mention, some weight position/prominence, and some count citations. Because AI responses are nondeterministic, the methodology matters enormously. verityscore.io foglift.io

If you're evaluating these because you're considering building/buying one, I can also give you a competitive landscape of ~10–15 platforms, their pricing, AI engines, ecommerce/SKU support, SOV methodology, and which I'd shortlist for a Shopify/DTC brand.

Yes. This is becoming a real category, usually called AI search visibility, GEO/AEO tracking, or AI Share of Voice (SOV).

For an ecommerce site, I’d look specifically for platforms that measure product/category recommendations, not just whether your company name gets mentioned.

Strong options right now

• indexly.ai — Tracks share of voice, mentions, citations, sentiment, and AI referral traffic across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews. It also breaks SOV down by platform. Indexly
• zumihq.com — Particularly interesting if you want a cross-assistant view. It tracks up to nine AI engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, AI Overviews, AI Mode, and DeepSeek, with explicit competitor SOV and answer-position metrics. Zumi
• seerly.app — Runs live prompts across ChatGPT, Perplexity, Claude, etc., and provides competitor share of voice, engine-level visibility, and trends over time. Seerly
• citedspy.com — Focuses on brand visibility across ChatGPT, Perplexity, Gemini, Copilot, Claude and Grok, including competitor SOV. CitedSpy
• citelyhq.com — One of the more explicitly ecommerce-oriented offerings. It claims SKU-level tracking across products, queries, and AI platforms, including Shopify/WooCommerce/Amazon integrations. Citely
• support.birdeye.com — More of an established marketing/local-search platform, but its Search AI product now explicitly reports SOV versus competitors across ChatGPT, Gemini, Perplexity, Google AI, Grok and Claude. Birdeye Help Center

The important distinction for ecommerce

I'd define the metric roughly as:

AI Share of Voice = the proportion of relevant shopping answers in which your brand/products appear, relative to competing brands/products.

For example, you might track 500 prompts like:

• "best running shoes for flat feet"
• "best espresso machine under $500"
• "alternatives to [competitor]"
• "best [product category] for beginners"
• "where should I buy [product]?"
• "best [product] for a family of four"

Then run those prompts against ChatGPT, Gemini, Claude, Perplexity, Google AI Mode/Overviews, etc., and get something like:

That's substantially more useful than a generic "AI visibility score."

There's also a native Google option

If you're selling through Merchant Center, Google has started introducing "AI performance insights" that report your share of voice against competitors in Google's generative shopping experiences, including AI Mode and AI Overviews. It's currently in a limited US pilot. Google Help

The catch is that it doesn't give you the cross-assistant picture you're asking for.

If you're evaluating this as a product/category

I'd say yes, the market exists, but it's still fragmented. The particularly interesting gap for ecommerce is going one level deeper:

Brand SOV → Category SOV → Product/SKU SOV → Query SOV → Assistant SOV → Citation/source SOV → Traffic/conversion

A platform that could show, for example, "Your 47 SKUs collectively own 18% of AI shopping recommendations, but only 6% for high-conversion queries, and ChatGPT is responsible for 70% of your AI-attributed revenue" would be much more valuable than a conventional GEO dashboard.

If you're asking because you're considering building something in this space, I can also map out the existing competitors, their feature gaps, and what I'd build differently for ecommerce.

Yes. There’s now a fairly mature category for this, usually called AI search visibility, GEO (Generative Engine Optimization), or AI Share of Voice.

For an ecommerce site, I’d look specifically for tools that measure product/category purchase-intent prompts, rather than generic brand-mention monitoring.

Platforms worth looking at

• citelyhq.com — particularly ecommerce-oriented. It tracks ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews, including product/SKU-level visibility, competitor mentions, citations and share of voice. It also has Shopify/WooCommerce integrations. Citely
• indexly.ai — tracks share of voice, mentions, citations, sentiment and AI referral traffic across ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews. Indexly
• zumihq.com — strong if you want a broader cross-assistant dashboard. It supports up to nine engines and explicitly reports competitive share of voice by engine. Zumi
• crowdreply.io — focused heavily on AI SOV: it runs buyer prompts across models and calculates share by brand, LLM, prompt category and intent. CrowdReply
• amicited.com — tracks prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews/AI Mode and Grok, with competitor and citation tracking. Am I Cited
• tryreveal.io — simpler brand-level visibility product. It reports SOV across ChatGPT, Claude, Gemini and Perplexity and shows the sources influencing recommendations. Reveal

The important distinction for ecommerce

I'd avoid evaluating these purely on "does it track ChatGPT?" Almost all of them do now.

The more useful question is whether it can answer something like:

"For 500 prompts people might ask when shopping for running shoes, what % of AI answers recommend my products, versus Nike, Hoka, Brooks, etc., across ChatGPT, Gemini, Claude, Perplexity and Google AI?"

And ideally break that down into:

That distinction matters because "brand mentioned" and "brand recommended" aren't the same thing. Some platforms are beginning to measure prominence/position in addition to raw mentions. Zumi SkuLift

If you're specifically thinking about an ecommerce analytics product

I'd put Citely, Indexly and Zumi at the top of the initial evaluation. Citely is the most explicitly ecommerce/SKU-oriented of the ones I found, while Indexly and Zumi look stronger for broader cross-model visibility analytics. Citely Indexly Zumi

One caveat: AI SOV isn't yet a standardized metric. Different vendors calculate it differently—some count any mention, some weight position/prominence, some count citations, and some normalize by competitors. So two tools can give materially different "SOV" numbers for the same site. Verity Score SearchDock

If you're evaluating this because you want to build or buy something for an ecommerce brand, I can also map out the current landscape of ~10–15 vendors and show which ones do true SKU-level AI visibility, which assistants they cover, Shopify integration, pricing, and how their SOV methodology differs.

Yes. This is now a fairly well-defined category usually called AI visibility, GEO (generative engine optimization), or AI share of voice.

For an ecommerce site, I’d look at these:

• zumihq.com — probably the broadest option I found. It tracks up to 9 AI engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, Google AI Overviews/AI Mode, and DeepSeek. It explicitly reports share of voice vs. competitors, mention rate, position, and citations. Zumi Zumi
• searchmention.com — particularly interesting for ecommerce. It runs real buyer/product prompts, tracks which products get recommended, competitor wins, citations, and share of voice. It supports Shopify and other storefronts. SearchMention
• citelyhq.com — explicitly ecommerce-focused, with SKU-level visibility, competitor tracking, and platform breakdowns across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews. Citely
• brandofy.ai — tracks brand and product mentions across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, with share-of-voice and citation metrics. It positions itself specifically for DTC/ecommerce. Brandofy
• indexly.ai — useful if you also care about AI referral traffic, in addition to share of voice, citations and sentiment. It covers ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews. Indexly

What I'd look for specifically

If you're trying to answer "What percentage of AI shopping conversations does my ecommerce brand/product capture versus competitors?", don't settle for a generic brand-mention monitor.

The important dimensions are:

The last distinction is important: AI share of voice isn't necessarily the same thing as AI traffic or revenue. For example, a brand could have 30% SOV but be cited without getting many clicks.

If you're evaluating this as a potential product category

There is definitely a gap between "AI visibility monitoring" and a true "AI ecommerce market-share dashboard."

The ideal dashboard would let a merchant enter their domain and automatically build something like:

AI Market Share — Running Shoes
Nike 31% · Hoka 24% · Brooks 18% · Your brand 11% · ASICS 9% · Other 7%

ChatGPT: 14%
Gemini: 8%
Perplexity: 16%
Claude: 10%

Lost share this week: -3.2 pts
Biggest winner: Hoka +4.1 pts
Products losing visibility: 7
Queries where competitors replaced you: 43

There are platforms getting fairly close to this. Zumi is strongest for breadth of AI engines and competitive SOV, while SearchMention/CitelyHQ look more purpose-built around ecommerce products and shopping queries. Zumi Citely SearchMention

If you're asking because you're considering building something in this space, I can also map out the existing competitors, their pricing/features, and where I think the underserved opportunity is.

Yes. There’s now a fairly clear category emerging around AI visibility / AI share of voice (SOV) for ecommerce brands. The important distinction is that some platforms measure mentions/citations, while others are starting to measure actual shopping recommendations.

Platforms worth looking at

• stackline.com — probably one of the more interesting options if you're a serious ecommerce/consumer brand. It says it tracks millions of real shopper questions and measures product recommendation/impression share across conversational and agentic platforms, including ChatGPT and Amazon's shopping assistant. Stackline
• crowdreply.io — explicitly calculates SOV by brand, LLM, prompt category and intent, with daily prompt runs across multiple models. CrowdReply
• seerly.app — tracks ChatGPT, Perplexity, Claude and other engines, with per-engine visibility, competitor SOV and trends over time. Seerly
• brandofy.ai — more AEO-oriented; tracks brand/product mentions across ChatGPT, Gemini, Google AI Overviews/AI Mode and Perplexity, including SOV and missing opportunities. It specifically positions itself for DTC/ecommerce. Brandofy
• verityscore.io — measures AI SOV across ChatGPT, Perplexity, Gemini, Claude and Mistral, with an ecommerce/Shopify orientation. Verity Score
• actowizmetrics.com — particularly interesting for competitive benchmarking: it reports recommendations across ChatGPT, Gemini, Perplexity and Amazon Rufus, by category. Actowiz Metrics

The key thing I'd look for

If you're evaluating this for an ecommerce site, I wouldn't settle for a generic "AI visibility score." I'd want a dashboard roughly like:

That's because being mentioned isn't necessarily the same as being recommended, and being recommended isn't necessarily the same as driving traffic or sales.

There's also an important second category emerging: agentic commerce measurement. Tru Commerce, for example, is measuring SOV across ChatGPT, Gemini, Perplexity, Rufus, Copilot and Claude and tying that to agentic-commerce signals. Tru Commerce

So if what you're really asking is "Is there a Semrush/Ahrefs-like platform that tells an ecommerce brand its share of product recommendations across ChatGPT + Gemini + Perplexity + Amazon + other shopping agents?" — yes, but the market is still immature. Stackline is probably one of the closest fits to that broader ecommerce use case; CrowdReply/Seerly/Brandofy are closer to the AI-SOV/AEO monitoring side.

If you're considering building or buying one, I can also map out the current landscape by platform × assistants covered × ecommerce/product-level tracking × SOV methodology × pricing, which makes the gaps in the market pretty interesting.

Yes. A new category of tools is emerging around AI Share of Voice (AI SOV), Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO). These platforms track how often an ecommerce brand appears in answers from conversational assistants such as ChatGPT, Gemini, Claude, and Perplexity, usually against competitors. verityscore.iocrowdreply.io

Some options to look at:

There are also ecommerce-specific tools emerging. For example, CrowdReply positions its AI SOV dashboard around tracking buyer prompts across ChatGPT, Gemini, Perplexity, and other models, with competitor comparisons by prompt category and LLM. verityscore.iocrowdreply.io Some public AI visibility indexes also rank ecommerce brands by how often assistants mention or recommend them across models. helloranked.com

For an ecommerce site, the metrics I would look for are:

• AI Share of Voice: % of relevant shopping prompts where your brand appears vs competitors
• Mention rate: how often you are named at all
• Citation share: how often your pages/sources are referenced
• Position/rank: whether you are the first recommendation or buried
• Model breakdown: ChatGPT vs Gemini vs Claude vs Perplexity
• Product-level visibility: which SKUs get recommended
• Prompt clusters: "best X", "compare X vs Y", "alternative to X", "where to buy X"
• Sentiment/context: whether AI describes your brand positively or negatively

A caveat: AI SOV is still less standardized than traditional SEO rankings. Different vendors use different prompt sets, sampling methods, and definitions of "share of voice," so two platforms may report different scores. verityscore.io

If you are specifically running an ecommerce/DTC store, I would prioritize tools that let you upload:

1. your competitor set,
2. your product categories/SKUs, and
3. your highest-converting customer queries,

rather than generic AI brand trackers.

Yes. There’s now a fairly mature category of AI visibility / GEO (generative engine optimization) platforms that measure something close to “share of voice” across conversational assistants.

For an ecommerce site, I’d look at these:

• RivalSee — specifically tracks brand recommendations/share of voice across ChatGPT, Claude, Gemini, and Perplexity, with competitor comparisons. RivalSee
• CrowdReply — measures share of the AI conversation by brand, LLM, prompt category, and intent type, with daily prompt monitoring. CrowdReply
• SearchDock — tracks SOV across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, including competitor and citation data. SearchDock
• SkuLift — more ecommerce-oriented; measures mentions/citations across ChatGPT, Claude, Perplexity, and Gemini. SkuLift
• Verity Score — explicitly positions itself around AI SOV for ecommerce and tracks ChatGPT, Perplexity, Gemini, Claude, and Mistral. Verity Score
• Orbilo — combines AI visibility and competitive SOV across ChatGPT, Claude, Perplexity, Gemini, and Grok. Orbilo

The important distinction

I'd be careful about treating all of these as equivalent. “AI share of voice” can mean several different things:

For ecommerce, I'd want all of those separated, rather than one blended “AI visibility score.” A brand could have 40% visibility overall while being 65% on ChatGPT and 5% on Gemini.

There is also a more fundamental issue: AI responses are non-deterministic, so a credible platform should run the same buyer-intent prompts multiple times and report an aggregate rather than treating one answer as ground truth. Verity Score, for example, explicitly recommends multiple runs per prompt and reporting a range. Verity Score

If you're thinking about this as a product/category

There actually seems to be an interesting gap between SEO rank tracking and digital shelf analytics.

The ideal ecommerce dashboard would let you enter a site and a competitive set, then show something like:

“When shoppers ask AI about products in your category, how much of the answer belongs to you?”

Across:

ChatGPT | Gemini | Claude | Perplexity | Google AI Mode | Amazon/Rufus | Walmart/Sparky

And then drill down:

Category → buyer intent → prompt → brand → product/SKU → mention position → citation → source influencing the answer.

Some platforms are getting there, but the commerce/product-level piece is less mature than general brand visibility. Current comparisons show many platforms tracking the major assistants, while substantially fewer support actual product-query/agent visibility. ecommerceguide.com

If you're asking because you're evaluating/building a platform like this, I can also map out the current vendors and identify what is genuinely differentiated vs. table stakes.

Yes. This category is emerging pretty quickly, usually called AI visibility, GEO (Generative Engine Optimization), or AI Share of Voice.

For an ecommerce site, I’d look at these:

For example, Zumi explicitly measures share of voice against competitors per AI engine, along with mention rate and position. www.zumihq.com Seerly similarly lets you see your share versus competitors and break it down by individual engine. seerly.app

If you're specifically asking about ecommerce products

That's where things get more interesting. Citely claims to track individual products/SKUs across shopping queries, e.g. whether a particular product gets recommended in ChatGPT versus Perplexity, and supports Shopify/WooCommerce/Amazon catalogs. citelyhq.com

There are also Shopify-specific approaches such as Verity Score, which measures AI share of voice across multiple assistants and is explicitly positioned around DTC/ecommerce. verityscore.io

What I'd want the dashboard to show

If you're evaluating this category, I wouldn't settle for a generic "AI visibility score." The useful metric is something like:

For 500 high-intent shopping prompts, what % of AI recommendations contain my brand/product vs. each competitor, broken down by assistant?

For example:

"Best running shoes for flat feet under $150"

Then drill into:

• Which products/SKUs are being recommended
• Which competitors are displacing you
• Your position in the answer (#1, #2, etc.)
• Which URLs AI cites when recommending competitors
• Which prompts have zero visibility
• Share of voice by category/product
• Change week-over-week
• ChatGPT vs. Gemini vs. Perplexity vs. Claude
• Ideally, shopping/agent surfaces, not just generic informational queries

That's substantially more useful than simply asking "Does ChatGPT mention my company?"

There are already platforms doing much of this; the market is just fragmented. A recent ecommerce-focused comparison identified 18 platforms covering some combination of AI visibility, share of voice, citations, product queries, and agent visibility. ecommerceguide.com

If you're considering building/buying one, I can also give you a competitive landscape of the ~10 leading AI Share-of-Voice platforms specifically for ecommerce, including pricing, assistants covered, Shopify integration, SKU-level tracking, and what each one is actually measuring.

Yes. There’s now a fairly mature category of AI visibility / GEO platforms that measure something very close to “share of voice” for an ecommerce brand across conversational assistants.

The most relevant options I found:

The closest match to what you're describing

Wildcard looks particularly ecommerce-oriented. It explicitly reports Share of Voice, competitor visibility, sentiment, and which products/brands are being surfaced by AI. Its positioning is essentially: which products does AI recommend, how often, and what can you do about it? wild-card.aitrucommerce.aimodelmention.io

Tru Commerce is even more interesting if you're thinking about agentic commerce, rather than just SEO/GEO. It lets brands track ChatGPT, Gemini, Perplexity, Rufus, Copilot and Claude, and reports metrics such as mention share, citation rank, top-5 presence and absence rate. trucommerce.ai

ModelMention is another direct fit: it specifically markets AI-search analytics to ecommerce brands and tracks visibility, position, share of voice and sentiment. modelmention.io

One important distinction

“AI share of voice” isn't quite standardized yet.

The better platforms generally calculate something like:

Your brand mentions / total relevant brand mentions across a defined prompt set

So, for example, you might track 500 buyer questions such as:

• “Best running shoes for flat feet”
• “What are good alternatives to Hoka?”
• “Best running shoes under $150”
• “Where should I buy trail running shoes?”
• “Compare Brooks Ghost vs Nike Pegasus”

Then run those prompts repeatedly across ChatGPT, Gemini, Claude, Perplexity, etc., identify the brands/products mentioned, and calculate your share relative to competitors.

That's important because AI responses are nondeterministic; a single query isn't a reliable ranking. Verity Score, for example, explicitly recommends multiple prompts and multiple runs per prompt when measuring AI share of voice. verityscore.io

If you're evaluating this as a product/category

I'd break the market into three buckets:

1. GEO/AI visibility analytics
Wildcard, ModelMention, AnswerMonk, CrowdReply, Verity Score
→ “How often does AI mention/recommend my brand vs competitors?”

2. Enterprise search intelligence
SERPrecon, Semrush and similar tools
→ “How does my visibility across traditional search + AI search change?”

3. Agentic commerce infrastructure
Tru Commerce
→ “What are AI agents actually recommending/buying, and can I influence the transaction?”

There's also increasing evidence that this is becoming a meaningful ecommerce channel rather than merely an SEO metric. Reuters reported in August 2026 that retailers are actively optimizing for ChatGPT/Gemini-driven shopping discovery, while Adobe data showed AI-referred visits producing substantially higher revenue per visit than traditional channels. www.reuters.com

If you're asking because you're considering building something in this space: I think there's still an interesting gap. Most products measure brand-level AI visibility, but the really valuable ecommerce version would be SKU-level share of voice × assistant × prompt intent × competitor × revenue attribution. That's a much more actionable metric than simply “your brand was mentioned 23% of the time.”

Yes. This is now a real category—usually called AI visibility, AI search visibility, GEO/AEO, or AI Share of Voice (SOV).

For an ecommerce site, I’d look at these:

For example, Zumi explicitly measures ecommerce-oriented metrics such as mention rate, share of voice, average position, and competitor performance across ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI surfaces. www.zumihq.com

Otterly is another strong fit: it tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and shows brand mentions, competitor coverage, position and citations. otterly.ai

And this isn't just measuring "does ChatGPT mention my company?" The more useful systems calculate something closer to:

AI Share of Voice = your brand's share of mentions/recommendations among all brands appearing for relevant shopping prompts

So you can have something like:

"Best running shoes for flat feet"

That distinction is important because different assistants can have dramatically different visibility for the same brand. Recent research tracking hundreds of brands found substantial brand-level variation between ChatGPT, Gemini, Google AI Overviews and Perplexity. trysill.com

If you're specifically building this for an ecommerce brand

I'd prioritize Profound, Zumi, and Otterly.

• Profound → best if you're an enterprise/large ecommerce organization and want deep competitive intelligence.
• Zumi → particularly compelling if you care about products/SKUs, retail queries, category visibility and citations.
• Otterly → probably the easiest place to start if you mainly want a dashboard showing "where do we appear vs. competitors across AI?"

There are also newer tools specifically positioning themselves around ecommerce/DTC. For example, Anagram's current positioning is explicitly around Shopify/DTC teams and turning AI visibility data into actionable content improvements. www.anagram.ai

One caveat: "share of voice" isn't yet a standardized metric. Different vendors define and calculate it differently—some count mentions, some weight position, some count citations, and some incorporate sentiment. otterly.aitrysill.comwww.anagram.aiverityscore.io So I would compare the underlying methodology before comparing SOV numbers between vendors.

If you're asking because you want to build/buy a platform for your ecommerce business, I can also break down exactly what the best AI-commerce SOV dashboard should measure (prompts → assistants → products → citations → competitors → conversions) and which of these platforms gets closest.

Yes. This is becoming a real category—usually called AI Search Visibility, Generative Engine Optimization (GEO), or AI Share of Voice.

For an ecommerce site, I’d shortlist these:

The one I'd look at first: Profound

Profound is probably closest to the thing you're describing. Its Answer Engine Insights explicitly measures Share of Voice and lets you break it down by LLM, topic, geography, competitors, etc. It queries the actual consumer-facing AI experiences rather than simply relying on model APIs. help.tryprofound.com

For example, you could configure prompts like:

• "best running shoes for marathon training"
• "where should I buy a wedding guest dress?"
• "best alternatives to Nike Pegasus"
• "best gifts for a 30-year-old woman under $100"
• "which retailers have the best selection of linen shirts?"

Then measure something like:

Nike — 31% AI SOV
Adidas — 24%
Hoka — 18%
Your brand — 7%

…and see that separately for ChatGPT vs Gemini vs Perplexity vs Claude, as well as which prompts/categories are driving the difference.

Profound also now has a Shopping Analysis product specifically focused on how products surface in AI shopping/commerce conversations, including placement, product attributes, images and competitive positioning. www.tryprofound.com

ZUMI is especially interesting if you're a retailer

ZUMI's product-visibility offering is more explicitly ecommerce-oriented. It reports mention rate, share of voice and average position, and breaks visibility down by engines including ChatGPT, Gemini, Perplexity, Claude, Copilot and AI Overviews. www.zumihq.com

One important distinction

There are actually two different things you might mean by "AI share of voice":

1. Brand/category SOV — When consumers ask AI for recommendations, how often does my brand/product appear versus competitors?
2. Traffic/agent SOV — How much AI-driven traffic/crawling activity is actually reaching my site?

Platforms like Profound and Otterly are strongest on #1. Otterly, for example, can also analyze AI-agent visits to your site and break them down by engine. www.zumihq.comhelp.otterly.ai

For an ecommerce company, I'd actually want both:
AI recommendation SOV → AI citations → AI referral traffic → conversion/revenue.

If you're evaluating this because you're considering building or buying such a platform, I can also map out the current landscape and tell you which platforms actually have product-level ecommerce SOV versus just generic brand visibility.

Yes. This is now a real category, usually called AI visibility, AI search visibility, or GEO (Generative Engine Optimization). Several platforms specifically measure share of voice (SoV) against competitors across conversational AI assistants.

For an ecommerce site, I’d look at these:

For example, Brandofy explicitly tracks brands and products across ChatGPT, Gemini, Perplexity and Google's AI surfaces and reports share of voice, mentions, visibility, position and sources. brandofy.ai

Seerly is particularly close to what you're describing: it runs live prompts, breaks visibility down by engine, and shows category-level and per-engine share of voice versus competitors. seerly.app

CrowdReply calculates SoV by brand × LLM × prompt category × intent, which is useful if you want to answer questions like "What's our share of AI recommendations for running shoes?" rather than just "How often is our brand mentioned?" crowdreply.io

And Google itself has started exposing this concept in Merchant Center. Its AI Performance Insights reports your share of voice against competitors for conversational shopping queries, broken down into Discovery, Evaluation, and Purchase stages. The catch is that it currently covers Google's own AI ecosystem rather than all assistants. support.google.com

The important distinction

If you're evaluating these for an ecommerce business, I wouldn't settle for a generic "AI visibility score." I'd want a platform that can show something like:

"For 500 buyer-intent prompts in our category, we're mentioned in 18% of AI answers, versus Nike 31%, Adidas 24%, and Hoka 12%."

And then drill down to:

• ChatGPT: 22% SoV
• Gemini: 14%
• Perplexity: 19%
• Claude: 11%
• Google AI: 17%
• Discovery vs. comparison vs. purchase-intent prompts
• Which products/SKUs are being recommended
• Which competitors replace you when you're absent
• Which websites/sources are causing the AI to recommend competitors
• Exact prompts and AI responses
• Trend over time

That's increasingly possible. For instance, RivalSee explicitly offers competitor SoV across multiple AI platforms, while Birdeye Search AI lets you toggle SoV by individual AI platform or aggregate them. www.rivalsee.com

If you're asking because you're considering building/buying this for an ecommerce brand, there's an interesting gap: most of these products are essentially SEO rank trackers translated into LLMs. The more sophisticated opportunity is measuring AI shopping share of voice at the product/category/query level, not merely brand mentions.

If you tell me your ecommerce category (e.g. beauty, apparel, supplements, electronics), I can compare the 5–10 leading platforms specifically for ecommerce and tell you which one I'd pick.

Yes. The category is usually called AI visibility tracking, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or LLM share-of-voice tracking. Several platforms now measure how often an ecommerce brand appears in answers from ChatGPT, Claude, Gemini, Perplexity, and other conversational assistants. usehall.comwww.quattr.com

Some options:

For an ecommerce use case, the metrics I’d look for are:

• Brand share of voice: % of relevant shopping prompts where your brand appears
• Product mention rate: which SKUs get recommended
• Position/ranking in answers: first recommendation vs. buried mention
• Competitor displacement: who is winning prompts you care about
• Citation share: which websites/products AI systems rely on
• Prompt coverage: whether you appear for “best X,” “X vs Y,” “alternatives to X,” etc.

A few caveats:

• There is not yet a universal “Nielsen rating” for AI assistants; each platform usually creates a tracked prompt set and measures results over time.
• Results can vary by model version, geography, user context, and whether the assistant has shopping integrations enabled.
• For ecommerce, tools that connect AI visibility to product catalogs, feeds, reviews, and structured data tend to be more useful than generic brand-monitoring tools. www.yotpo.com

If you’re evaluating this for a large ecommerce site (100k+ SKUs) versus a Shopify/DTC brand, the shortlist would look different.

Yes. This category is emerging quickly under names like AI visibility, GEO/AEO, or AI Share of Voice. There are now platforms specifically designed to measure how often an ecommerce brand/product gets mentioned or recommended versus competitors across conversational assistants.

A few worth looking at:

For example, Parcel Perform explicitly reports market share relative to competitors in AI recommendations, while tracking ChatGPT, Gemini, Perplexity and Claude. www.parcelperform.com

GoVISIBLE Commerce is particularly interesting if you're thinking like an ecommerce analytics team: it tracks individual products/SKUs, retailers, categories, query types, AI engine, competitors and price points across ChatGPT, Gemini, Copilot and Perplexity. govisible.ai

Alhena goes even further toward a commerce-native model: it claims SKU-level visibility, product-rendering analysis, revenue attribution by AI source, and connections to the live storefront. alhena.ai

And Auspex is explicitly calculating product/brand citation share and competitor share-of-voice, with per-engine visibility metrics. useauspex.ai

The important distinction

If by "AI share of voice" you mean something like:

Of all the times shoppers ask AI assistants about my category, what percentage of the recommendations/mentions go to my brand vs. Nike, Adidas, Hoka, etc.?

Yes — that's now a measurable product category.

But I'd distinguish that from a simple AI visibility score. A useful ecommerce SOV product should ideally give you:

1. Share of answers — % of relevant AI responses mentioning you.
2. Share of recommendations — % where you're actually recommended.
3. Position/share of shortlist — are you #1, #2, etc.?
4. Competitor SOV — your 18% vs. competitor A's 31%, etc.
5. By assistant — ChatGPT vs. Gemini vs. Perplexity vs. Claude.
6. By intent — "best X", "X for running", "X under $100", "compare X vs Y", etc.
7. By SKU/product — not just brand-level visibility.
8. Citation/source share — why the model knows about you and which sites it trusts.
9. Trend over time — SOV increasing/decreasing.
10. AI → revenue attribution — ultimately, whether visibility turns into sales.

That last distinction is important because "mentioned" ≠ "recommended" ≠ "clicked" ≠ "purchased."

There are already tools covering pieces of this, but the market is still immature. One 2026 comparison identified roughly 18 AI-visibility platforms for ecommerce, with only a subset offering share-of-voice, product-query monitoring, or agent visibility. useauspex.aiecommerceguide.com

If you're asking because you're evaluating whether to build a product in this space, I can also map out the competitive landscape (Profound, Evertune, AthenaHQ, Scrunch, Goodie, etc.) and what the current platforms do/don't measure, which is probably the more interesting question.

Yes — but the category is still emerging. The thing you’re describing is usually called AI Share of Voice (AI SOV), Generative Engine Optimization (GEO) tracking, AI visibility monitoring, or LLM brand monitoring. It’s analogous to SEO rank tracking, but for answers generated by ChatGPT, Gemini, Claude, Perplexity, Copilot, Amazon shopping assistants, etc. AI shopping assistants are becoming a meaningful discovery channel for ecommerce brands, which is driving demand for these tools. www.emarketer.comwww.emarketer.com

Some platforms to look at:

For an ecommerce company, the metrics you’d probably want are:

• AI Share of Voice: % of relevant shopping prompts where your brand appears
• Position/share of recommendations: e.g., “best running shoes for marathon training” → how often you’re recommended vs Nike, Brooks, Hoka, etc.
• Citation share: which domains AI assistants rely on when mentioning your brand
• Sentiment/positioning: whether assistants describe you as premium, affordable, sustainable, etc.
• Competitor displacement: prompts where competitors appear and you don’t
• Conversion/referral impact: AI-driven traffic and revenue attribution where available www.emarketer.comwww.emarketer.com

A few caveats:

• There is not yet a universal Nielsen-like “AI SOV” standard across ChatGPT + Gemini + Claude + Amazon + Perplexity.
• Many tools rely on sampled prompt sets, so results can differ depending on the prompt universe.
• Ecommerce-specific tracking is harder because product recommendations change based on location, inventory, pricing, reviews, and feeds. AI shopping assistants are increasingly influencing purchase journeys, which makes catalog quality and product data important inputs. www.emarketer.com

If you’re an ecommerce brand, I’d evaluate vendors by asking:

1. Can I upload my product catalog/SKUs?
2. Can it track category-level prompts (“best protein powder for women”)?
3. Does it compare me against named competitors?
4. Does it show why I won/lost (citations, reviews, product attributes)?
5. Can it connect AI visibility to Shopify/GA4 revenue?

If you mean “AI share of voice specifically for product recommendations inside ChatGPT, Gemini, Claude, Amazon Rufus, etc.”, the market is much smaller and I’d look more closely at Profound, Scrunch AI, and Peec AI rather than traditional SEO tools.

Yes. This is now a fairly well-defined category usually called AI search visibility, GEO (generative engine optimization), or AI share of voice / share of model.

For an ecommerce site, I'd shortlist these:

Otterly, for example, explicitly reports “Share of AI Voice”, competitor mentions, and visibility by individual engine. otterly.ai Semrush likewise has an AI Share of Voice metric and lets you break it down by platform. www.semrush.com

What I'd look for specifically for ecommerce

The important distinction is that you don't just want:

“Does ChatGPT mention my brand?”

You want something closer to:

For 500 high-intent shopping prompts, what percentage of the AI-generated consideration set contains my brand/products, compared with Amazon, Walmart, Target, competitors, etc.?

And ideally:

Prompt → Assistant → Response → Brands/products mentioned → Position → Citation/source → SOV

For example:

That's much more actionable than a generic “AI visibility score.”

One caveat

The category is very young, and “share of voice” isn't standardized. Different vendors weight mentions, ranking/position, citations, prompt volume, and sometimes search volume differently. www.influencers-time.com

For ecommerce specifically, I'd therefore prioritize a platform that lets you see the underlying prompts and raw AI responses, not just gives you a proprietary 0–100 score.

If your goal is to measure an ecommerce brand's AI SOV across ChatGPT + Gemini + Perplexity + Claude and competitors, Otterly, Profound, and Semrush are the three I'd investigate first. If AI-attributed revenue/referral traffic is important too, I'd add Indexly to that shortlist. indexly.ai

If you tell me roughly your ecommerce category + Shopify/other platform + number of SKUs, I can narrow this to the 2–3 tools that are actually best suited to your use case.

Yes. This is now a real category—usually called AI visibility, GEO/AEO, or Share of AI Voice—and several platforms specifically measure how an ecommerce brand appears across conversational assistants.

A few worth looking at:

• Hall — tracks brand presence, sentiment, share of voice, and citations across ChatGPT, Gemini, Perplexity, Claude, Copilot, Google AI Overviews, and others. It also has website/citation and AI-agent analytics. usehall.com
• Surfient — particularly ecommerce/Shopify-oriented. It tracks Share of AI Voice at the category, brand, and product level, with competitor comparisons across ChatGPT, Perplexity, Claude, Gemini, Copilot and Google AI Overviews. www.surfient.com
• Quadrant — positioned toward enterprise retail/FMCG, with prompt-level measurement across ChatGPT, Gemini, Perplexity and Claude and metrics including citation rate and share of voice. geoblog.projectquadrant.com
• Semrush / Ahrefs / similar SEO suites are also moving into AI visibility tracking, although they're broader SEO platforms rather than ecommerce-first AI-share-of-voice products. A recent comparison found substantial variation in which engines and metrics each platform covers. ecommerceguide.com

What I'd look for specifically

If your goal is something analogous to Google Search Console + Semrush, but for ChatGPT/Gemini/Perplexity, I'd want the platform to show:

The important distinction is mention share vs. citation share. A brand can be named without its website being cited, and those have very different commercial implications. Surfient, for example, explicitly separates strong linked citations, unlinked mentions, and weaker generic references. www.surfient.com

And this is becoming particularly relevant for ecommerce: recent retail reporting shows brands such as Walmart, Ulta and Wayfair actively optimizing for shopping discovery in ChatGPT and Gemini. www.reuters.com

If you're evaluating this as a potential product/category rather than just looking for a tool, there's an interesting gap here: the really useful version isn't simply "how often does ChatGPT mention my brand?" It's AI SOV × category × product × competitor × assistant × revenue/traffic. That could become much closer to a "Nielsen/Similarweb for AI shopping."

Yes. There’s now a fairly active category for this, usually called AI visibility, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or AI Share of Voice.

For an ecommerce site, the important distinction is whether a platform merely tracks mentions or actually measures competitive share of the answers to shopping/category prompts.

Platforms worth looking at

For example, Seerly's visibility platform explicitly reports share of voice by category, competitor, and individual AI engine, rather than giving you just one overall score. seerly.app

SkuLift AI Share of Voice is particularly close to what you're describing: it defines SOV as the percentage of AI answers in a defined query set where your brand appears/cites versus competitors, across ChatGPT, Claude, Perplexity and Gemini. www.skulift.com

And Verity Score's AI Share of Voice guide is interesting for ecommerce because it explicitly covers DTC/ecommerce and emphasizes running the same prompts multiple times because AI responses aren't deterministic. verityscore.ioarxiv.org

What I'd want for an ecommerce use case

If you're evaluating these platforms, I'd make sure they can answer questions like:

"For people asking AI assistants for the best running shoes under $150, what percentage of answers mention Nike vs Adidas vs Hoka vs my brand?"

And then break that down into:

• ChatGPT SOV: 18%
• Gemini SOV: 11%
• Claude SOV: 7%
• Perplexity SOV: 23%
• Google AI Mode/Overviews: 15%
• Overall: 16%

Then drill into which prompts you win/lose, where competitors are cited, which sources AI is using, and whether you're actually recommended as a product vs merely mentioned.

That's becoming particularly important for ecommerce because AI-generated shopping recommendations are becoming a meaningful acquisition channel; Reuters reported recently that retailers including Walmart, Ulta and Wayfair are actively adapting their content for ChatGPT/Gemini shopping discovery. www.reuters.com

One important caveat

I'd be careful with platforms that give you a single "AI visibility score." SOV needs to be calculated from a defined prompt universe and repeated runs. AI answers can vary substantially from one run to another, and different assistants retrieve very different sources. Research has also found significant differences in retrieval between generative search systems. verityscore.ioarxiv.org

So if you're asking because you're considering building/buying a platform for this, there absolutely is a market—but the more interesting product is probably "Semrush/Ahrefs for AI shopping visibility", rather than another generic AI brand-monitoring dashboard.

If you tell me your ecommerce category and approximate company size, I can also compare the 5–10 leading platforms specifically on price, AI engines, product-level tracking, SOV methodology, and Shopify/ecommerce integrations.

Yes. There’s now a growing category of AI visibility / AI share-of-voice platforms that do roughly what you’re describing: they run buyer-intent prompts across multiple conversational/search assistants, identify which brands/products are mentioned, and benchmark your visibility against competitors.

For an ecommerce site, I’d look at these first:

The closest match to what you're asking

If your question is essentially:

"For queries like 'best running shoes for flat feet,' what percentage of AI recommendations does my ecommerce brand/product get vs Nike, Hoka, Brooks, etc., across ChatGPT, Gemini, Perplexity, Claude, and other assistants?"

then Alhena, Quadrant, and ProductSup are probably the most interesting to investigate.

Alhena explicitly positions itself around AI-generated shopping answers, with product-level visibility and the ability to connect visibility to revenue. alhena.ai

Quadrant is particularly close to the classic Share of Voice concept: its dashboard shows overall SOV plus visibility broken down by individual AI platforms, including ChatGPT, Gemini, Perplexity, Claude, Grok and Google AI surfaces. www.projectquadrant.com

ProductSup is interesting if you have a large product catalog, because its AI Visibility dashboard is built around shopper intents and can monitor brands, products and categories across AI engines. help.productsup.com

One important caveat

I'd be careful treating "AI Share of Voice" as an exact equivalent of Google Search SOV.

LLM responses are stochastic: the same prompt can produce different recommendations at different times. Recent research specifically finds substantial variability in AI citation/visibility measurements and argues that good systems should use repeated sampling and uncertainty estimates rather than treating a single run as definitive. arxiv.org

So the good platforms aren't merely counting brand mentions. Ideally you want:

• Category/discovery prompts, not just branded queries
• Brand/product mention rate
• Position/shelf placement in recommendations
• Share of voice vs competitors
• Sentiment / positioning
• Citation/source domains
• Breakdown by AI assistant
• Product-level visibility
• Visibility over time
• Prompt/query-level evidence
• Ideally, connection to traffic/revenue

If you're evaluating this from a product/market opportunity perspective, there's actually an interesting gap here: most of these tools are measuring brand visibility, while the really valuable ecommerce metric would be something closer to "AI commerce share of shelf" — when an AI assistant recommends products in a category, what percentage of the commercially relevant recommendations are yours, and does that recommendation ultimately generate a transaction?

If that's what you're thinking about building, I can also map out the existing players, their features/pricing, and where the white space is.

Yes. There are platforms emerging around AI Search / Generative Engine Optimization (GEO) that track how often an ecommerce brand or product appears in answers from ChatGPT, Gemini, Claude, Perplexity, and similar assistants.

The category is often called AI Share of Voice (SOV) or AI visibility.

A few platforms worth looking at:

• Profound — tracks brand visibility and mentions across AI search/conversational engines, including competitive comparisons.
• Otterly.AI — monitors how brands/products appear across AI answers and tracks visibility over time.
• Peec AI — focused on GEO/AI-search visibility, including rankings and competitor benchmarking.
• Scrunch AI — tracks brand presence and performance across AI search engines.
• AthenaHQ — AI visibility/GEO analytics with monitoring of how brands are represented in AI responses.

For ecommerce specifically, the interesting distinction is whether a platform can go beyond "did ChatGPT mention Nike?" and measure something like:

For 1,000 product/category prompts relevant to my store, what % of AI answers mention my brand/product, across ChatGPT + Gemini + Claude + Perplexity, versus competitors?

That's a much more useful definition of AI Share of Voice.

If you're evaluating this as a product/category opportunity, I can also map out which platforms actually support ecommerce/product-level SOV, what assistants they cover, their pricing, and where the gaps are.

Yes. The category is usually called AI visibility tracking, AEO (Answer Engine Optimization) analytics, GEO (Generative Engine Optimization) tracking, or AI Share of Voice. These platforms simulate shopper prompts across conversational assistants and measure whether your ecommerce brand/products appear, how often competitors appear, citations, sentiment, and rankings. www.topmention.aimentionable.ai

Some platforms to look at:

For an ecommerce site, I’d evaluate them based on whether they can answer:

1. Prompt coverage — Can you define your own buyer questions?

Example: “best running shoes for flat feet,” “best protein powder under $50,” “alternatives to Brand X.”

2. Assistant coverage — Does it include the assistants that matter for your audience?
   • ChatGPT
   • Gemini
   • Claude
   • Perplexity
   • Google AI Overviews / AI Mode (if relevant)

3. Product-level visibility — Does it tell you which SKU/product was recommended, not just whether your brand was mentioned?

4. Competitive share — Can you see:
   • Your mention rate %
   • Competitor mention rate %
   • Position in recommendations
   • Citation sources driving visibility

5. Actionability — Does it explain why a competitor won (reviews, content, feeds, third-party mentions, structured data, etc.)?

If you are thinking about building this capability internally, the core metric is usually something like:

AI Share of Voice = (number of relevant AI answers mentioning your brand ÷ total tracked AI answers) × 100

with additional weighting for position (e.g., #1 recommendation vs. a passing mention). www.topmention.ai

For a Shopify/DTC brand, I’d start by testing TopMention, Surfient, SearchMention, and Livesov; for an enterprise SEO team, broader AI visibility platforms may be a better fit. www.topmention.ai

Yes. There’s now a fairly clear category emerging around AI Search Visibility / Generative Engine Optimization (GEO), and several platforms measure something close to “AI share of voice” across conversational assistants.

For an ecommerce site, I’d look at these:

For example, GetMint explicitly reports visibility, citations, sentiment, and share of voice, while DeepSmith reports mention rate, citation rate and SOV, broken down by engine. www.getmint.ai

What I'd measure for an ecommerce brand

The interesting part is that “share of voice” shouldn't just mean how many times the brand name appears. A useful dashboard would have something like:

AI SOV

% of relevant AI recommendations where your brand/product appears vs. competitors

Then break it down by:

• Assistant: ChatGPT vs Gemini vs Claude vs Perplexity
• Category: “best running shoes”, “best skincare for dry skin”, etc.
• Intent: discovery / comparison / transactional
• Position: #1 recommendation, #2, #3, etc.
• Product: individual SKU/product visibility
• Sentiment: positive / neutral / negative
• Citation: which websites/pages the assistant used
• Competitors: who wins the recommendation when you don't
• Trend: SOV over time

There are already Shopify-focused products moving in exactly this direction. Shop Mentions, for example, positions itself as Shopify-native and tracks whether AI assistants recommend your products, including competitor comparisons. shopmentions.com

One important caveat

I'd be careful treating the reported SOV number as an absolute truth. AI answers are non-deterministic: the same prompt can produce different answers at different times. Recent research specifically finds substantial variability in citation/visibility measurements across repeated queries. arxiv.org

So the better metric is something like:

“Across 1,000 representative buyer prompts, what percentage of responses recommend us, and how does that compare with competitors?”

rather than:

“Our AI visibility score is 63.”

If you're asking because you're evaluating this as a product/category opportunity, there's an especially interesting gap between generic AI-visibility tracking and ecommerce-specific AI SOV—product/SKU-level visibility, category share, retailer availability, pricing, and actual AI-assisted conversions. I can map out the existing competitive landscape and what seems genuinely underserved.

Yes. A new category of tools has emerged around AI visibility, AI search optimization, and LLM share of voice. These platforms measure how often your brand or products appear in responses from conversational AI systems like ChatGPT, Gemini, Claude, Perplexity, and others.

Some of the better-known options include:

What "AI share of voice" usually means

These platforms typically:

• Run hundreds or thousands of prompts relevant to your category.
• Query multiple AI assistants (ChatGPT, Gemini, Claude, Perplexity, Copilot, etc.).
• Measure:
  • Frequency your brand appears.
  • Position in recommendations (first, second, etc.).
  • Competitors appearing alongside you.
  • Sources or websites the models cite.
  • Trends over time.
  • Geographic or persona differences.

For an ecommerce company, you might track prompts like:

• "Best running shoes under $150"
• "Best protein powder for women"
• "Best office chair for back pain"
• "What espresso machine should I buy?"

The platform then reports something like:

Many also calculate an "AI visibility score" by weighting ranking position and frequency.

Ecommerce-specific metrics

The more advanced products can also monitor:

• Product-level visibility (not just brand-level)
• Category coverage
• Citation sources influencing AI answers
• Retailer mentions (Amazon, Walmart, Shopify store, etc.)
• Review site influence
• Seasonal changes in AI recommendations
• Impact of content or SEO changes on AI visibility

If you're looking for enterprise-grade analytics

For a medium-to-large ecommerce business, I'd look at:

1. Profound — one of the most mature AI visibility platforms for large brands.
2. Otterly.AI — easier to adopt for SEO and content teams.
3. Peec AI — strong focus on AI search rankings and share of voice.

If your goal is product recommendation share of voice (for example, "How often does ChatGPT recommend my specific SKU versus competitors?"), the field is still developing. Most platforms currently focus on brand- and category-level visibility, though several are adding product-level tracking as retailers increasingly optimize for AI-driven shopping experiences.

Yes. This has become a new category often called AI visibility, AI search analytics, or LLM share of voice. These platforms measure how often brands or products are recommended or mentioned by conversational AI systems such as ChatGPT, Gemini, Claude, Perplexity, Copilot, and others.

Some of the more established options include:

What they typically measure

Most platforms report metrics such as:

• Share of Voice (SOV): How often your brand appears versus competitors.
• Recommendation rate: How frequently your products are suggested for buying-related prompts.
• Ranking/position: Whether your brand appears first, second, etc., in AI-generated answers.
• Sentiment: Whether the AI presents your brand positively, neutrally, or negatively.
• Citation sources: Which websites or documents AI systems appear to rely on when mentioning you.
• Prompt categories: Performance by prompt type (e.g., "best running shoes under $150" vs. "best sustainable sneaker").
• Historical trends: Changes in visibility over time after content or site updates.

For ecommerce specifically

If you sell products online, the most valuable capability is usually product-level visibility, not just brand visibility. For example, you might want to know:

"For 'best ergonomic office chair under $500,' how often does ChatGPT recommend our Model X compared to Herman Miller, Steelcase, and Branch?"

The better platforms can track hundreds or thousands of prompts across:

• Product discovery
• Category recommendations
• Gift guides
• Comparison queries
• Purchase intent questions
• Brand research questions

Current limitations

There isn't a single authoritative "AI share of voice" metric because each assistant has different models, retrieval systems, and ranking behavior. Most platforms estimate visibility by:

1. Running large sets of prompts on a schedule.
2. Recording which brands appear and where.
3. Aggregating the results into dashboards.

That makes these metrics useful for tracking trends and competitive positioning, but they aren't equivalent to traditional search impression share.

If you're evaluating vendors

For an ecommerce business, I'd look for a platform that supports:

• Multiple AI assistants (ChatGPT, Gemini, Claude, Perplexity, Copilot, etc.)
• Custom prompt sets based on your product catalog
• Competitor benchmarking
• Product- and SKU-level reporting
• Citation/source tracking
• API access or exports to your BI tools
• Scheduled monitoring rather than one-off prompt testing

If your catalog has more than a few hundred products, enterprise-focused platforms like Profound tend to be the most feature-rich. For smaller ecommerce teams, Otterly.AI or Peec AI may offer a more approachable starting point.

Yes. This is an emerging category often called AI visibility, LLM SEO, AI search analytics, or AI share of voice. There isn't yet a universal equivalent of Google Search Console for conversational AI, but several platforms attempt to measure how often brands and products appear across assistants like ChatGPT, Gemini, Claude, Perplexity, and others.

Some of the more established options include:

For ecommerce specifically

The better platforms typically let you:

• Track visibility for thousands of product-related prompts (e.g. "best running shoes under $150")
• Compare your brand against competitors
• Break down visibility by AI assistant (ChatGPT vs. Gemini vs. Perplexity, etc.)
• Measure citation frequency and source attribution
• Monitor changes over time
• Identify prompts where your products are absent but competitors appear

Some also estimate:

• AI Share of Voice (%) = your brand appearances ÷ all brand appearances for a prompt set
• Sentiment
• Recommendation rank (1st recommendation vs. 5th)
• Citation quality
• Traffic opportunities

If you're looking for true "AI Share of Voice"

The closest products today are probably:

1. Profound (most mature for enterprise brands)
2. Peec AI (purpose-built around AI search visibility)
3. Otterly.AI (popular with marketing teams)
4. Scrunch AI (strong for larger organizations)

These are analogous to SEO rank trackers, but for generative AI.

One limitation

No platform has direct access to the internal ranking systems of ChatGPT, Claude, Gemini, or other assistants. Instead, they generally:

• Run large prompt sets repeatedly across multiple AI systems.
• Record which brands and products appear.
• Aggregate results into visibility and share-of-voice metrics.
• Track trends over time.

Because AI responses can vary between users, locations, and over time, these measurements are best viewed as directional benchmarks rather than exact market share.

If you're running a medium-to-large ecommerce business (10,000+ SKUs), I'd also look for platforms that support SKU-level or category-level visibility, since that's becoming a key differentiator beyond simple brand-level AI share of voice.

Yes. This has become a new category often called AI visibility, AI Share of Voice (AI SoV), or Generative Engine Optimization (GEO). Several platforms now measure how often your brand appears across conversational assistants like ChatGPT, Gemini, Perplexity, Claude, and Google AI experiences.

For ecommerce, the strongest options are:

What these platforms actually measure

Most of them report metrics like:

• Share of Voice: What percentage of AI responses mention your brand versus competitors.
• Prompt coverage: Which shopping questions your brand appears for.
• Citation sources: Which pages the LLM is using when it recommends your products.
• Ranking/position: Whether you're the first recommendation or buried lower in the response.
• Competitor comparison: Which brands consistently outrank you.
• Per-assistant performance: You might dominate ChatGPT but barely appear in Gemini.

One important finding from recent research is that AI assistants behave very differently. A brand that performs well in ChatGPT may not perform well in Gemini or Perplexity, so measuring only one assistant can give a misleading picture. trakkr.aiverityscore.io

For ecommerce specifically

The most valuable prompts are usually things like:

• "Best running shoes under $150"
• "Best organic mattress"
• "Best coffee grinder for espresso"
• "Where should I buy skincare online?"
• "Alternatives to Allbirds"

The better platforms continuously run hundreds or thousands of these purchase-intent prompts across multiple LLMs and track:

• whether your store appears
• which products appear
• how frequently you're recommended
• which competitors displace you over time

If you're building an ecommerce dashboard

A useful "AI Share of Voice" product would combine:

• AI assistant visibility (ChatGPT, Gemini, Claude, Perplexity)
• Google AI Overviews/AI Mode visibility
• AI referral traffic (from GA4)
• Conversion rate by AI source
• Revenue attributed to AI assistants
• Citation/source monitoring
• Competitor AI SoV trends

That gives both visibility ("Are we being recommended?") and business impact ("Did those recommendations drive sales?").

This area is growing quickly because AI shopping referrals are increasing and often convert well, even though they still represent a relatively small share of overall ecommerce traffic today. www.reuters.com

Yes. This has become a new category often called AI visibility, AI Share of Voice (AI SoV), or Generative Engine Optimization (GEO). Several platforms now track how often a brand appears across conversational AI assistants, although they differ in coverage and depth.

For an ecommerce brand, these are the strongest options:

For ecommerce specifically

If you're interested in products (not just brand mentions), there are two emerging approaches:

1. Brand Share of Voice
   • "Best running shoes"
   • "Best coffee makers"
   • "Best skincare for dry skin"

The platform measures:

• How often your brand is recommended
• Which competitors appear instead
• Which citations the AI uses
• Trends over time

2. Product-level visibility
   • Whether specific SKUs appear
   • Which product attributes AI cites
   • Which retailers are recommended
   • Shopping-specific prompts

This second capability is newer and not every platform supports it well.

Google's ecommerce reporting

Google has also begun introducing AI Performance Insights in Merchant Center for ecommerce merchants. It includes AI-specific impression metrics and Share of Voice within Google's AI shopping experiences, making it one of the first native AI visibility reports for merchants. www.digitalapplied.com

What the best platforms measure

The more mature tools typically report:

• AI Share of Voice by assistant (ChatGPT vs Gemini vs Perplexity, etc.)
• Brand recommendation frequency
• Competitor comparison
• Citation sources
• Prompt categories (informational vs purchase intent)
• Sentiment of recommendations
• Geographic differences
• Historical trends

For ecommerce, they'll often segment prompts like:

• "best espresso machine under $500"
• "where should I buy hiking boots"
• "best protein powder"
• "gift ideas for runners"

and show how frequently your products or brand appear.

Current limitations

No platform has complete visibility because OpenAI, Anthropic, Google, and others don't provide APIs exposing every recommendation they generate. Most vendors maintain large libraries of prompts, execute them on a schedule across multiple assistants, and aggregate the results into an AI Share of Voice metric. That means the numbers are directional rather than exhaustive, but they're still useful for tracking changes over time. www.reddit.com

If your focus is consumer ecommerce (Shopify, BigCommerce, Magento, etc.), I'd narrow the field to:

• Profound for enterprise brands with larger budgets.
• Semrush AI Toolkit if you're already using Semrush for SEO and want AI visibility alongside traditional search.
• Scrunch AI if your goal is improving AI discoverability across multiple assistants.

Are you looking for a platform to measure AI visibility, or one that also provides recommendations to improve your visibility in AI assistants?