ChatGPT answers, unedited

Yes. What you’re describing is generally called AI search visibility, LLM visibility, or GEO (Generative Engine Optimization) tracking.

These tools can show something like:

Tools worth looking at

• ahrefs.com — probably the closest match to what you're asking for. It tracks brand mentions/citations across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, and lets you see AI Share of Voice and visibility by platform. Ahrefs
• otterly.ai — particularly focused on monitoring specific prompts over time. It covers ChatGPT, Gemini, Perplexity, Claude, Copilot, and Google's AI surfaces, with mention rate, share of voice, position, sentiment, and citations. Otterly Otterly
• modelmention.io — simpler option focused on ChatGPT, Gemini and Perplexity, with visibility, position, share of voice and citations. ModelMention
• mentionhq.com — tracks ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Grok, so it's interesting if you specifically want a broader model-by-model view. Mention

One important distinction

There are actually two different things you might mean by "distribution":

1. Share of AI answers where your brand appears

"We appear in 38% of relevant ChatGPT answers, 29% of Gemini answers, 17% of Claude answers..."

2. Distribution of your total AI appearances

"Of all our AI mentions, 45% come from ChatGPT, 25% Gemini, 15% Perplexity..."

Most serious GEO platforms can get you toward #1, while #2 is usually easy to calculate from their underlying data.

If you're trying to build a dashboard for your brand showing appearance share across ChatGPT model versions (e.g. GPT-5.x), Claude versions, Gemini versions, etc., that's a more specific requirement. Most off-the-shelf tools don't expose model-version-level distribution cleanly; they tend to report at the platform/engine level. Ahrefs, for example, reports ChatGPT/Gemini/Perplexity/etc. rather than giving you a clean GPT-version-by-version distribution. Ahrefs

If you tell me what you mean by “models and versions” (e.g. GPT-5.6 vs GPT-5, Claude Opus vs Sonnet, Gemini 2.5 vs 3), I can identify the tools that actually expose that granularity and compare them.

Yes. What you’re describing is generally called AI visibility / LLM visibility / GEO tracking.

Tools that specifically break down brand appearances by AI platform include:

• Ahrefs Brand Radar — tracks mentions/citations across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. Ahrefs
• SearchPrism — particularly relevant if you want an appearance matrix by AI engine, including ChatGPT, Claude, Gemini, and Perplexity. Prism
• Keysonar — provides per-model breakdowns of mentions, citations, and positions. Keysonar
• Renown — explicitly provides model-by-model visibility scores and trends. tryrenown.com
• VisiMatrix — tracks multiple providers and breaks down mention rate/visibility by provider. visimatrix.com

If by “different models and versions” you mean something like GPT-5 vs GPT-5.1 vs GPT-5.2, Claude Sonnet vs Opus, Gemini versions, rather than simply ChatGPT vs Claude vs Gemini, that's a more specific requirement. I can identify which tools actually expose model/version-level distribution rather than just platform-level reporting.

Yes. The category you’re looking for is usually called AI visibility, LLM visibility, AI search visibility, or GEO (Generative Engine Optimization) tracking.

These tools run a consistent set of prompts against multiple AI systems and measure how often your brand appears, where it appears, how competitors perform, and sometimes which sources the models cite.

Good options

• ahrefs.com — probably the strongest option if you want a broad, data-heavy benchmark. It tracks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, with metrics for mentions, citations, AI share of voice, and estimated impressions. It says its database covers 459M+ search-backed prompts. Ahrefs Ahrefs
• gumshoe.ai — particularly interesting if you specifically care about different models and model variants. It compares visibility across ChatGPT, Gemini, Claude, Perplexity, DeepSeek and others, and explicitly distinguishes pretrained vs. web-search variants. Gumshoe AI
• measurellm.com — tracks ChatGPT, Gemini, Claude, Perplexity, Meta AI and others, with model-by-model visibility and competitive analysis. MeasureLLM
• keysonar.com — gives a per-model breakdown of mentions, citations and top-1 positions across ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews. Keysonar
• rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, with recurring checks and share-of-voice metrics. Rank.ai
• searchprism.io — useful if you want the underlying answers rather than just a score. It stores the actual AI responses and provides a brand-by-platform appearance matrix across ChatGPT, Claude, Gemini and Perplexity. Prism

If by "distribution" you mean something like this

…and then being able to drill down into which prompts caused each appearance, what competitors appeared alongside you, sentiment/ranking, and which sources were cited.

Yes, there are tools that do essentially this. The particularly important distinction is whether you want platform-level tracking (ChatGPT vs. Gemini vs. Claude) or model/version-level tracking (e.g. GPT-5.x vs. GPT-4.x, different Gemini versions, search-enabled vs. non-search variants). The latter is less consistently supported.

If you tell me which models/versions you care about and whether this is for your own brand or a portfolio of brands, I can narrow this down to the 3–5 tools that best fit and compare their pricing/data methodology.

Yes. What you’re describing is generally called AI visibility, AI share of voice, or LLM visibility tracking.

These tools repeatedly run a standardized set of prompts against multiple AI engines and show things like:

• Brand appearance rate — how often your brand is mentioned.
• Share of voice — your percentage of mentions versus competitors.
• Per-model breakdown — e.g. ChatGPT vs. Gemini vs. Claude vs. Perplexity.
• Position/prominence — whether you're mentioned first, third, etc.
• Citations — which websites/sources the models rely on when mentioning you.
• Sentiment — whether the model describes your brand positively or negatively.
• Trends over time — whether your visibility is increasing or declining.

Tools worth looking at

• Ahrefs Brand Radar — probably the most established option if you already use Ahrefs. Its AI visibility product covers ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, with historical tracking, share of voice and competitor comparisons. Ahrefs ahrefs.com
• SearchDock — particularly relevant if you specifically want share of voice broken out by engine. It tracks ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews and keeps historical captures. SearchDock searchdock.io
• Seerly — emphasizes per-engine visibility, share of voice, competitors and trends over time. Seerly
• Rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, including daily checks and share of voice. Rank.ai
• Indexly — goes beyond mentions into citations, sentiment by model and AI-generated referral traffic. Indexly

One important distinction

If by "different chat AI models and versions" you mean something more granular like:

GPT-5.6 vs GPT-5.5 vs GPT-5.4
Claude Opus vs Sonnet
Gemini 3 vs Gemini 2.5
and "What percentage of our total AI appearances comes from each?"

—that's a somewhat different requirement.

Most commercial AI-visibility platforms report at the engine/platform level (ChatGPT, Claude, Gemini, etc.), rather than exposing every underlying model/version. For example, a dashboard might tell you 42% of your appearances are on ChatGPT, but not necessarily distinguish the exact GPT version responsible.

If model/version-level distribution is what you're after, tell me what your brand is and roughly what you want the dashboard to look like. I can identify the tools that get closest to that exact measurement and compare them.

Yes. The category you’re looking for is usually called AI visibility tracking, LLM visibility monitoring, GEO (Generative Engine Optimization) tracking, or AI share-of-voice analytics. These tools measure how often a brand appears in answers generated by different AI models and can break results down by model, prompt, competitor, sentiment, and citations. Meev Keysonar

Examples:

• brandbeacon.ai — tracks brand mentions across AI search platforms and includes visibility/competitor reporting. BrandBeacon
• meev.ai — focuses specifically on per-model visibility, showing differences between models like ChatGPT, Claude, Gemini, and Perplexity rather than one blended score. Meev
• keysonar.com — provides per-model breakdowns, mentions, citations, and trend tracking. Keysonar
• riffanalytics.ai — compares brand presence across multiple AI engines and tracks share of voice. Riff Analytics
• meltwater.com — an enterprise-oriented option for monitoring brand representation across AI platforms. Meltwater

A typical dashboard looks something like:

One caveat: true model-version distribution is harder than platform distribution. Many vendors can tell you “ChatGPT vs Claude vs Gemini,” but fewer can reliably separate exact underlying versions because providers may route users dynamically, update models frequently, or hide internal model selection. Meev

If you mean “what percentage of all AI conversations mention our brand?” (market share style) versus “when someone asks category questions, how often does each AI model recommend us?”, the best tool choice differs.

Yes. What you’re describing is usually called AI visibility, LLM visibility, or GEO (Generative Engine Optimization) tracking.

These tools repeatedly run relevant prompts against multiple AI systems and show how often your brand appears, where it ranks, which competitors appear, and which sources are being cited.

A few worth looking at:

• ahrefs.com — Probably the most established option. It tracks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode and provides mentions by platform, AI Share of Voice, competitors, topics, and cited domains/pages. The free checker gives you a snapshot; Brand Radar provides ongoing monitoring. Ahrefs
• mentionpilot.ai — Particularly relevant if you want a dashboard showing visibility by platform, prompt-level share of voice, average position, sentiment, and competitor visibility. MentionPilot
• mentionhq.com — Tracks ChatGPT, Claude, Gemini, Perplexity, and additionally DeepSeek/Grok on higher plans. It explicitly provides a model-by-model visibility breakdown. Mention
• keysonar.com — Interesting if the model/version dimension is important. It reports visibility separately by AI model and distinguishes mentions, citations, and top-1 positions. Keysonar
• searchprism.io — More analytics-oriented: it stores the actual answers generated by ChatGPT, Claude, Gemini, and Perplexity, rather than reducing everything to a single visibility score. Prism

If you mean model versions specifically

There's an important distinction.

Most platforms can tell you something like:

ChatGPT: 42% of tracked answers
Gemini: 31%
Claude: 18%
Perplexity: 9%

But tracking exact model/version, such as GPT-5.6 vs GPT-5.5, Claude Sonnet version X vs Y, etc., is considerably harder. The consumer-facing AI products can change models, routing, search behavior, and system prompts without giving you a stable version identifier.

If your actual requirement is:

Brand → AI platform → exact model/version → prompt → appearance rate → rank/position → competitor appearances

then I'd look for a platform that exposes the underlying model/API information rather than just an aggregated "ChatGPT" bucket. Keysonar, SearchPrism, and some API-based setups are closer to that level of granularity.

If you tell me which models/platforms you care about (e.g. ChatGPT/GPT, Claude, Gemini, Perplexity, Copilot) and whether you want a dashboard or an API/data export, I can narrow this down to the 2–3 best tools for your use case.

Yes. What you’re describing is generally called AI visibility / LLM visibility / Generative Engine Optimization (GEO) tracking.

A few tools are specifically built to show how often your brand appears across different AI assistants/models, rather than just traditional search rankings:

• gumshoe.ai — probably the closest match to your description. It tracks brand visibility across 11 AI models, including ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Grok, and gives a model-by-model visibility breakdown, competitive rankings, sentiment, and trends over time. Gumshoe AI
• synectgeo.io — explicitly shows a “Distribution by LLM” chart, e.g. ChatGPT 37%, Gemini 28%, Claude 21%, Perplexity 14%, along with mentions and citations. SynectGEO
• mentionhq.com — monitors ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Grok and others, with visibility scores, position tracking, competitors, and source analysis. Mention
• rank.ai — tracks mention/share-of-voice across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, including daily trend data. Rank.ai
• ahrefs.com — useful if you already use Ahrefs. It reports total mentions and breaks them down by AI platform, including ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs

One important distinction

If by “models and versions” you literally mean something like:

GPT-5.x vs GPT-4.x vs Claude Opus vs Claude Sonnet vs Gemini Pro/Flash, etc.

then you should look carefully at the underlying methodology. Many platforms report AI platform/experience (ChatGPT, Claude, Gemini) rather than exposing the exact model/version that generated every response.

Gumshoe appears particularly interesting for your use case because it says it distinguishes model-level visibility and even compares pretrained versus web-search variants. Gumshoe AI

If you tell me whether you're looking for this for marketing/brand tracking, PR, SEO/GEO, or competitive intelligence, I can narrow this down to the 3 best tools and compare their model coverage, granularity, pricing, and API/export capabilities.

Yes. What you’re looking for is generally called AI visibility tracking, LLM visibility, or GEO (Generative Engine Optimization) tracking.

These tools run a consistent set of customer-style prompts across AI systems and report things like how often your brand appears, which model mentions you, your position/rank, competitors mentioned, citations, sentiment, and share of voice.

Tools worth looking at

• ahrefs.com — probably the strongest option if you want a broad, benchmarkable dataset. It tracks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, with hundreds of millions of prompts. It can break visibility down by platform. Ahrefs
• citedspy.com — specifically shows visibility/share of voice across ChatGPT, Perplexity, Gemini, Copilot, Claude and Grok, including competitor comparisons. CitedSpy
• visimatrix.com — interesting if you specifically want a distribution by AI provider. It reports score, mention rate and average rank separately for ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Mistral and Grok. VisiMatrix
• synectgeo.io — has an explicit “Distribution by LLM” view, e.g. ChatGPT 37%, Gemini 28%, Claude 21%, Perplexity 14%, alongside mentions and citations. SynectGEO
• searchprism.io — good if you want to preserve the actual AI responses and analyze exactly where/how your brand appears across ChatGPT, Claude, Gemini and Perplexity over time. Prism

The metric you're describing

If, for example, your brand appeared in 1,000 AI answers, you might want a dashboard like:

And ideally you'd be able to drill down by model/version, prompt/topic, geography, competitor, date, and whether the appearance was a mention vs. citation vs. recommendation.

One important caveat: “model/version” is harder to measure than “platform.” Many products can tell you ChatGPT vs. Gemini vs. Claude, but don't necessarily expose or consistently track the underlying model/version (e.g. a particular GPT or Gemini release). Also, AI responses are probabilistic, so serious tools generally measure repeated runs over a defined prompt set rather than treating one response as definitive. Tracemetry

If you tell me what you mean by “our brand” and which models you care about (e.g. ChatGPT/GPT-5, Claude, Gemini, Perplexity, Grok), I can narrow this down to the 3 best tools for getting an actual percentage distribution of your appearances, including pricing and API/export capabilities.

Yes. The category you’re looking for is usually called AI visibility tracking, LLM visibility, AI search visibility, or GEO (Generative Engine Optimization) tracking.

These tools repeatedly run relevant prompts against multiple AI systems and report things like:

• Brand mention rate — how often your brand appears
• Share of voice — your share versus competitors
• Position/rank — where you appear in the answer
• Citation rate — how often your site is cited as a source
• Sentiment/recommendation rate
• Breakdown by AI model/platform
• Historical trends so you can see whether visibility is increasing or declining

Tools worth looking at

• ahrefs.com — probably the most established option to investigate first. It covers ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, and can break down mentions by platform. Ahrefs
• indexly.ai — tracks mentions, citations, sentiment and AI referral traffic across ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews. Indexly
• mentionedby.ai — focused specifically on AI visibility, with share of voice, mentions, position and sentiment, and supports 20+ models depending on plan/provider access. MentionedBy AI
• deepsmith.ai — gives model-by-model visibility across ChatGPT, Gemini, Perplexity, Claude and Google AI Mode, including the underlying answers. DeepSmith
• getmint.ai — tracks mention, citation, sentiment and share of voice across major AI answer engines and lets you compare competitors. GetMint

One important distinction

If by “different chat AI models and versions” you mean something more granular like:

GPT-5.6 vs GPT-5.5 vs GPT-5
Claude Opus vs Sonnet
Gemini Pro vs Flash
different model versions over time

—that's a more specialized requirement than ordinary AI-visibility tracking.

Most platforms report “ChatGPT,” “Claude,” “Gemini,” etc. as the platform/engine rather than giving you a clean historical matrix of exact model/version → brand appearance rate. Some also don't necessarily expose the exact underlying model because the consumer product can dynamically route requests.

If that's what you're trying to build, I can identify the best tools that specifically give you a model/version × brand-appearance distribution, and compare them on coverage, API access, historical data, and pricing.

Yes. The category you’re looking for is usually called AI visibility tracking, LLM visibility, or GEO/AEO tracking.

These tools query multiple AI systems with a defined set of prompts, then show things like brand mention rate, share of voice, position, sentiment, citations, and competitor appearances by model/platform.

A few that look particularly relevant:

• Rankr — tracks visibility across ChatGPT, Claude, Perplexity, and Gemini, with a daily per-model breakdown of visibility, sentiment, and mentions. Rankr
• Keysonar — specifically provides a per-model breakdown of mentions, citations, and top-1 positions across ChatGPT, Gemini, Claude, Perplexity, etc. KeySonar
• Rank.ai — broader coverage, including ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, and Google AI Overviews; it also calculates share of voice against competitors. Rank.ai
• CitedSpy — particularly focused on share of voice and competitor comparisons across ChatGPT, Perplexity, Gemini, Claude, Grok, and Copilot. CitedSpy
• Zumi — has a useful dashboard concept showing mention rate, share of voice, average position, and breakdown by engine. Zumi
• CrowdReply — interesting if you specifically care about different versions of the same model; it reports ChatGPT visibility by model version (e.g. GPT-4o vs. GPT-5). CrowdReply

If by “distribution” you mean this…

For example, you want a chart like:

…and ideally also:

Your brand vs. competitors → by model → by prompt/category → over time

then Rank.ai, CrowdReply, Keysonar, and CitedSpy are closest to what you're describing.

One important distinction: these tools generally measure controlled prompt-based appearances, not the literal percentage of all conversations happening on the internet in which your brand appears. That's an important limitation when interpreting the numbers.

If you tell me which models/versions you care about (e.g. GPT-5, GPT-4o, Claude Sonnet, Gemini, Perplexity) and whether this is for marketing/SEO reporting or competitive intelligence, I can narrow this down to the 2–3 best tools and compare pricing/features.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, AI search analytics, or AEO/GEO (Answer Engine Optimization / Generative Engine Optimization) tools. These tools measure how often a brand appears in answers from different AI systems and can break results down by model. Waikay Meev

Some tools that do this:

• brandbeacon.ai — Tracks brand visibility across AI platforms and compares performance across model releases and updates. BrandBeacon
• waikay.io — Focuses on LLM-specific visibility, share of voice, prompt tracking, competitor comparisons, and model-level breakdowns. Waikay
• mentionhq.com — Tracks brand mentions across ChatGPT, Claude, Gemini, Perplexity, and other AI platforms with visibility metrics. Mention
• keysonar.com — Provides per-model visibility, mention/citation tracking, and trends over time. KeySonar
• lumar.io — Enterprise-oriented monitoring of brand presence, sentiment, and citations across AI answers. Lumar
• meltwater.com — Geared toward PR and communications teams monitoring brand narrative across AI platforms. Meltwater

Typical dashboards show things like:

• Appearance rate: % of tracked prompts where your brand appears
• Share of voice: your mentions vs competitors
• Model distribution: e.g., ChatGPT vs Claude vs Gemini vs Perplexity
• Version/release impact: whether a new model update changes visibility
• Position/ranking: whether you are the first recommendation or buried lower
• Sentiment/context: whether the AI describes your brand positively or negatively
• Citations/sources: which websites and pages influence the AI answer KeySonar Meltwater

One caveat: most tools do not have access to every private model version internally. They generally measure by repeatedly running a controlled set of prompts against available AI interfaces/APIs and analyzing the outputs. For example, they may track “ChatGPT” or “GPT-5” availability rather than every hidden serving variant or backend snapshot. Meev

If you mean a market-share-style chart like “30% of our AI mentions come from ChatGPT, 25% from Gemini, 15% from Claude…” then yes—several of these tools are designed specifically to produce that distribution view. Waikay riffanalytics.ai

Yes. The category is usually called AI visibility tracking, LLM brand visibility analytics, Generative Engine Optimization (GEO) analytics, or AI search monitoring. These tools measure where and how often a brand appears in answers from different AI assistants/models (for example ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.). Riff Analytics Sprinklr

Some tools that provide this kind of distribution view:

• experienceleague.adobe.com — Tracks brand mentions, citations, sentiment, and visibility across AI platforms including ChatGPT, Gemini, Google AI features, Copilot, and Perplexity. It includes platform-level filtering so you can see where your brand appears. Experience League
• riffanalytics.ai — Built specifically for comparing brand presence across models, showing which AI engines mention your brand and where you outperform or lag. Riff Analytics
• mentionhq.com — Provides model coverage comparisons, visibility scores, mention tracking, and competitor comparisons across AI platforms. Mention
• sprinklr.com — More enterprise-oriented; breaks down visibility by AI tool, prompts, sentiment, and citations. Sprinklr
• searchable.com — Focuses on visibility, share of voice, ranking position, sentiment, and model-level trends. Searchable

The metrics you probably want are:

A typical dashboard might answer questions like:

• “We appear in 62% of ChatGPT answers but only 18% of Gemini answers — why?”
• “Which model versions are most likely to recommend us?”
• “Are competitors appearing more often in AI-generated buying guides?”
• “Which content sources cause models to mention us?”

One caveat: most of these tools do not measure every possible user conversation happening inside AI systems. They generally work by running a controlled set of prompts against models and analyzing the responses, so the quality depends heavily on the prompt set, frequency of checks, and model coverage. GitHub

If you mean internal enterprise analytics (e.g., “our brand appears in ChatGPT vs GPT-5 vs GPT-4.1 vs Claude versions”), that is a more specific use case—many vendors track model families, but true version-level distribution is still less standardized. MentionedBy AI

Yes. What you’re describing is generally called AI visibility / AI search visibility / GEO tracking: a dashboard that runs a consistent set of prompts across AI assistants and shows how often your brand appears, where it ranks, and how that distribution differs by model.

A few tools that look particularly relevant:

• ahrefs.com — tracks ChatGPT, Gemini, Perplexity, Copilot and Google AI surfaces. It can show mentions by platform, topics, competitors, cited domains/pages, and trends. Ahrefs Ahrefs
• gumshoe.ai — particularly interesting if you want model-level comparisons. It reports visibility per model and distinguishes different model variants, including pretrained vs. web-search variants. Gumshoe AI
• diploria.ai — broadest model coverage I found: ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Mistral, Llama, Copilot, Google AI Overviews and AI Mode. It says it stores the actual responses and supports recurring monitoring. Diploria AI
• mentionedby.ai — geared toward marketing teams, with 20+ AI models, competitor benchmarks, share of voice, visibility scores and historical changes. MentionedBy AI
• rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, with daily prompt runs and share-of-voice tracking. Rank.ai

If by "distribution" you mean this…

For example, you want a chart like:

…and then be able to slice that by prompt, geography, date, competitor, model version, sentiment, recommendation position, etc.

Yes — there are tools moving in exactly that direction. The important distinction is whether you need AI platforms (ChatGPT vs. Claude vs. Gemini) or the underlying model/version (e.g. GPT-5 vs. GPT-5.x variants). The latter is less consistently exposed because consumer AI products can change models, routing, search behavior, and system prompts behind the scenes.

If you tell me which AI models/versions you care about and roughly how many prompts/brands you need to track, I can narrow this down to the 2–3 best platforms for your use case, including pricing and how granular their model/version reporting actually is.

Yes. The category you’re looking for is usually called AI visibility tracking, LLM brand monitoring, GEO (Generative Engine Optimization) tracking, or AEO (Answer Engine Optimization). These tools run a set of prompts against different AI assistants and show how often, where, and in what context your brand appears. Ahrefs Riff Analytics

Tools that specifically provide distribution of brand appearances by AI model/version include:

• mentionhq.com — Tracks brand mentions across ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Grok, with visibility scoring, rankings, citations, and competitor comparisons. Mention HQ
• riffanalytics.ai — Designed around cross-model comparisons; shows how often models mention your brand and which models favor you. Riff Analytics
• brandbeacon.ai — Focuses on AI share of voice, model-by-model visibility changes, and historical trends as models update. BrandBeacon
• meltwater.com — Enterprise-oriented monitoring across major LLMs, including brand/product mentions, competitors, and citations. Meltwater
• elmohq.com — Open-source option that tracks visibility across many models and can show model-level breakdowns and share of voice. Elmo

A typical dashboard would look something like:

A few caveats:

• Most tools do not measure every possible model version directly (for example, every GPT checkpoint); they usually track the public-facing AI products or APIs available to them. Riff Analytics Elmo
• Results are prompt-dependent. A good system tracks hundreds of buyer-relevant prompts rather than just asking “What do you know about my brand?” Traqer
• If you need model-version granularity (e.g., GPT-5 vs GPT-4.1 vs Claude Sonnet variants), you may need a custom monitoring pipeline using model APIs and your own prompt dataset.

If you mean “what percentage of all AI answers in the market mention our brand” (market share-of-voice) versus “which AI models mention us most” (model distribution), the best tool choice differs.

Yes. What you’re describing is generally called AI visibility / LLM visibility tracking: measuring how often your brand appears in answers across ChatGPT, Claude, Gemini, Perplexity, etc., ideally broken down by model, version, prompt/category, competitors, and time.

A few tools worth looking at:

• mentionedby.ai — particularly close to what you described. It tracks 20+ AI models, with visibility, share of voice, competitor benchmarks, and citation intelligence. MentionedBy AI
• mentionscout.com — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and AI Mode, with an engine-by-engine visibility heatmap. MentionScout
• ahrefs.com — a more established SEO-oriented option. It reports total mentions and breakdowns by AI platform, plus topics and cited domains/pages. Ahrefs
• rankr.so — focuses on daily model-level visibility, position, sentiment, and mentions across ChatGPT, Claude, Gemini and Perplexity. Rankr
• keysonar.com — tracks per-model mentions, citations and top-1 positions. KeySonar

The important distinction

If by “models and versions” you mean something like:

that level of version-specific tracking is less consistently available. Many products advertise “model-level” tracking but actually report at the platform/engine level (ChatGPT vs. Claude vs. Gemini), rather than maintaining a clean historical series for every underlying model/version.

For example, some services explicitly distinguish between the consumer AI product and the underlying API model, which matters because the answers can differ. NYFTY Labs

If you're trying to build a marketing/brand dashboard showing “where our brand appears across the AI ecosystem”, I’d prioritize a tool that gives you:

1. Model/version breakdown
2. Mention rate
3. Share of voice vs. competitors
4. Position/ranking within answers
5. Sentiment
6. Citations/sources that caused the mention
7. Prompt/category breakdown
8. Historical trends
9. The actual AI responses as evidence
10. API/export access

If you tell me whether you want this for enterprise brand monitoring, SEO/GEO, PR, or competitive intelligence, I can narrow this down to the 3 best tools and compare their model/version coverage, pricing, and dashboards.

For example, some services explicitly distinguish between the consumer AI product and the underlying API model, which matters because the answers can differ.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, or generative engine optimization (GEO) analytics. These tools measure how often a brand appears in answers from different AI systems and can break results down by model (for example ChatGPT vs Claude vs Gemini vs Perplexity). Meev Riff Analytics

Some tools that provide this kind of view:

• ahrefs.com — Shows brand mentions across AI search experiences such as ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, with platform-level breakdowns. Ahrefs
• meltwater.com — Enterprise-oriented monitoring of brand/product mentions across major LLMs, including sentiment and cited sources. Meltwater
• rankscale.ai — Tracks visibility across many AI engines and lets teams slice results by engine and timeframe. Rankscale
• rankr.so — Focuses on AI brand visibility metrics such as mention rate, position, and sentiment across models like ChatGPT, Claude, Gemini, and Perplexity. Rankr
• brandreply.ai — Provides per-model visibility, rank, sentiment, and trend tracking. BrandReply

A good dashboard for your use case would typically show:

One caveat: many tools track model families or AI surfaces rather than exact model versions, because providers frequently change routing and model availability. If you specifically need something like “brand appearance distribution across GPT-5.6 vs GPT-5 vs Claude Sonnet versions,” you may need a custom evaluation pipeline that repeatedly runs a fixed prompt set against each API model/version and stores the outputs.

If you’re asking from a brand marketing/SEO perspective, the tools above are the closest fit. If you mean internal measurement of how your company appears inside ChatGPT, Claude, Gemini, etc. by exact model version, that is a slightly different analytics problem.

Yes. What you’re describing is generally called AI visibility tracking, LLM visibility, or GEO (Generative Engine Optimization) tracking.

A few tools currently do this particularly well:

• MentionedBy.ai — tracks brand visibility across ChatGPT, Perplexity, Gemini, Claude and other AI answer engines, with 20+ models, competitor benchmarks, share of voice, and filtering by model/question. mentionedby.ai
• Riff Analytics — specifically positions itself as an LLM brand visibility tracker, showing how often models such as ChatGPT, Perplexity, Gemini, Claude, DeepSeek and Grok mention your brand. www.riffanalytics.ai
• Indexly — tracks mentions, citations, sentiment, share of voice and AI referral traffic across ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews. indexly.ai
• OpenLens — useful if you want to see the actual answers, per-topic visibility, position by platform, competitor share, and the sources behind AI answers. openlens.com
• Ahrefs AI Visibility Checker — a good starting point/free check. It reports total mentions and breaks them down by AI platform, topic, cited domains and cited pages. mentionedby.aiwww.riffanalytics.aiindexly.aiahrefs.com

If by "distribution" you mean this…

For example, you want a dashboard like:

…and then be able to drill down into which prompts caused the appearances, which competitors appeared, your position in the answer, sentiment, citations, and changes over time — yes, there are products getting quite close to exactly that.

One important caveat: "model/version" is harder to measure reliably than "platform." Consumer AI products don't always expose the exact underlying model/version, and responses can change between runs. Some trackers therefore report ChatGPT or Claude rather than claiming precise model-level statistics. Even tools that expose model information may be querying API endpoints rather than the exact consumer experience. tracemetry.com

If you tell me what you mean by “brand appearances” (e.g. mentions in answers, recommendations, citations, or all of these), I can narrow this down to the 3 best tools for your use case and compare their model/version coverage, pricing, and reporting capabilities.

Yes. What you’re describing is generally called AI visibility / LLM visibility / GEO (Generative Engine Optimization) tracking.

These tools run a standardized set of prompts against multiple AI systems and show how often your brand appears, your share of voice, competitors, citations, and—importantly—the breakdown by model/engine.

A few that look particularly relevant:

• gumshoe.ai — probably closest to your description. It tracks brand visibility across 11 AI models, including model-specific breakdowns and differences between model variants. It can show, for example, visibility on GPT vs. Claude vs. Gemini and how that changes over time. Gumshoe AI
• indexly.ai — tracks mentions, citations, sentiment and share of voice across ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews, with per-platform trends. Indexly
• mentionedby.ai — particularly focused on share of voice, competitor comparisons and 20+ AI models. MentionedBy AI
• bourd.dev — covers ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Meta AI, Google AI Mode/Overviews, etc., with mentions, citations and share of voice. Bourd
• ahrefs.com — a simpler option for checking visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, including mentions by platform. Ahrefs

One important distinction

If by "distribution across different chat AI models and versions" you mean something like:

…and you want to slice this by model version, prompt, geography, date, competitor, and query category, that's a more sophisticated requirement than simply "AI visibility."

Gumshoe, MentionedBy, and Bourd appear closer to that level of analysis than the basic free checkers. Gumshoe explicitly advertises model-level visibility and differences between pretrained/web-search variants. Gumshoe AI

If you tell me what you mean by “our brand appearances” (e.g. mentions in answers, recommendations, citations, or all three), I can narrow this down to the 2–3 tools that best fit and compare their model/version coverage, pricing, and reporting capabilities.

Yes. The category you’re looking for is usually called AI visibility, AI search visibility, GEO (Generative Engine Optimization), or LLM visibility tracking.

These tools query multiple AI systems with a set of relevant prompts and show how often your brand appears, where it ranks, what competitors appear instead, and which sources the models cite.

Tools worth looking at

• ahrefs.com — probably the most established SEO-oriented option. It measures brand mentions across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces, and provides platform-by-platform breakdowns. Ahrefs says its underlying database covers hundreds of millions of prompts. Ahrefs Ahrefs
• mentionedby.ai — particularly interesting if you want 20+ AI models, competitor benchmarking, share of voice, sentiment, position, and citation intelligence. MentionedBy AI
• indexly.ai — gives a fairly comprehensive model-by-model view, including share of voice, mentions, citations, sentiment, and AI referral traffic across ChatGPT, Claude, Gemini, Perplexity, Grok, and AI Overviews. Indexly
• chatobserver.com — focused on tracking what ChatGPT, Gemini, Claude, Perplexity and AI Overviews actually say about your brand, including citations and competitors, with recurring monitoring. Chatobserver
• rankr.so — has a particularly straightforward dashboard for visibility, position, sentiment, mentions, and model-by-model trends across ChatGPT, Claude, Perplexity and Gemini. Rankr

If by "distribution" you mean something very specific

For example, you want a chart like:

Yes — several of these platforms can produce essentially this view. Some go further and distinguish model/version, prompt, geography, sentiment, position in the answer, and whether your brand was merely mentioned versus actually recommended/cited.

One important caveat: "brand appearances" isn't the same as measuring actual user conversations. These services generally run a controlled set of prompts against the models and track the resulting answers. So the metric is best interpreted as measured AI visibility under your tracked prompts, not "X% of all ChatGPT conversations mentioned us." nyftylabs.com Ahrefs

If you tell me what you want to measure (e.g. brand share of voice across GPT-5 vs Claude vs Gemini, including historical trends and model versions), I can narrow this down to the 2–3 tools that best match it and compare their pricing/data coverage.

Yes. What you’re describing is generally called AI visibility / LLM visibility / GEO (Generative Engine Optimization) tracking.

A few tools specifically show a platform/model-level breakdown of brand mentions, rather than just a single “AI visibility” score:

• ahrefs.com — tracks mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, with breakdowns by platform, topics, cited domains and pages. Ahrefs
• mentionedby.ai — particularly interesting if you want 20+ AI models, competitor benchmarking, share of voice, visibility and sentiment. MentionedBy AI
• rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, including daily checks and share of voice. Rank.ai
• measurellm.com — tracks ChatGPT, Gemini, Claude, Perplexity, Meta AI and additional models, with an LLM breakdown dashboard. MeasureLLM
• visimatrix.com — gives provider-by-provider scores, mention rate, average rank and sentiment across ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Mistral and Grok. VisiMatrix

For example, the kind of visualization you're asking about would look conceptually like:

Brand mentions by AI model

ChatGPT — 37%
Gemini — 28%
Claude — 21%
Perplexity — 14%

That exact type of “distribution by LLM” is shown by SynectGEO, for example. SynectGEO

One important distinction

If by “models and versions” you mean something more granular like:

• GPT-5.6 vs GPT-5.5 vs GPT-5
• Claude Opus vs Sonnet
• Gemini 2.5 Pro vs Flash
• different model versions over time
• your brand's percentage of appearances in each version
• position/rank within the answers
• competitor share of voice
• changes after a model update

…then not every AI-visibility platform goes that deep. Many report at the AI product/platform level (ChatGPT, Claude, Gemini, etc.), rather than exposing the exact underlying model/version.

If that's what you're after, I can compare the current tools specifically on model/version granularity, data methodology, historical tracking, and API/export capabilities and identify which one is closest to what your team needs.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, AEO (Answer Engine Optimization) tracking, or GEO (Generative Engine Optimization) analytics. These tools measure how often a brand appears in answers from different AI systems and can break results down by model, prompt, competitor, sentiment, and sometimes model version. Meev Elmo

Some tools that do this:

• gumshoe.ai — Tracks brand visibility across multiple AI models (including ChatGPT, Claude, Gemini, Perplexity, and others), with model-level visibility scores, competitor comparisons, and persona/prompt analysis. Gumshoe AI
• meev.ai — Focuses specifically on per-model visibility rather than a blended score, showing how the same brand performs differently across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, and others. Meev
• elmohq.com — An open-source option that can track brand mentions, citations, competitors, and visibility across many AI systems. Elmo
• brandbeacon.ai — Tracks AI search performance over time and monitors changes across model updates. BrandBeacon
• rankr.so — Provides dashboards for visibility, position, sentiment, and model-by-model comparisons. Rankr

The dashboard you probably want would look something like:

One caveat: true model-version attribution is harder than model attribution. Many vendors can tell you “ChatGPT” or “Claude,” but fewer reliably expose the exact underlying model snapshot/version because consumer AI products may route requests dynamically. Tools that claim version-level tracking usually do it by controlling the API model ID or recording the model endpoint used. Meev Elmo

If you mean “distribution of our brand appearances” as in a histogram/share-of-voice chart across all AI models, the closest matches are Gumshoe, Meev, Elmo, and Rankr. Gumshoe AI Meev Elmo Rankr

Yes. What you’re describing is usually called AI visibility / LLM visibility / GEO tracking: measuring how often a brand appears in answers from different AI engines, and ideally breaking that down by model/version.

A few tools worth looking at:

• ahrefs.com — tracks brand mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, etc. It gives platform-level mention counts, topics, cited domains/pages, and competitive benchmarking. Ahrefs
• citationlab.ai — particularly close to what you're describing. It has a model comparison view showing how your brand performs across ChatGPT, Gemini, Perplexity and Google AI Overview, including "Share of Model." CitationLab
• citations.io — tracks whether ChatGPT, Gemini, Perplexity and Claude mention/cite your brand, including citation share and competitor comparisons. Citations.io
• getmentions.ai — tracks up to 13 AI platforms and lets you break visibility down by platform, prompt, competitor, market, language, etc. GetMentions AI
• brandinsightsai.com — interesting if you specifically care about model-level differences; it covers ChatGPT, Claude, Perplexity, Gemini, Grok, DeepSeek, Google AI Overview/Mode and ChatGPT Web. BrandInsightAI

The important distinction

If by "distribution" you mean something like:

Of all AI responses that mention our brand, what percentage came from GPT-5 vs GPT-5.6, Claude Opus vs Sonnet, Gemini versions, Grok, etc.?

That's a more specific requirement, and most commercial AI-visibility tools don't actually expose that granularity. They tend to report at the AI product/engine level:

That's because the consumer AI products often don't expose the underlying model/version consistently, and responses can vary between runs. Some trackers therefore measure repeated prompt samples rather than treating a single response as definitive. Pulsar Platform CitedSpy

If you're trying to build a dashboard showing "where our brand appears across the AI ecosystem", I can also recommend the 3–5 tools I'd shortlist based specifically on model/version granularity, API access, historical data, and enterprise reporting.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO). These tools measure how often a brand appears in answers from different AI models and can break results down by model, prompt, competitors, sentiment, and citations. Ahrefs Riff Analytics

Some tools that do this:

• ahrefs.com — Tracks brand mentions across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, with breakdowns such as mentions by platform, topics, and cited domains. Ahrefs
• mentionhq.com — Provides cross-model visibility dashboards, including model-level visibility scores and mention trends across platforms like ChatGPT, Claude, Gemini, and Perplexity. Mention
• elmohq.com — Focuses on tracking brand mentions across many AI models, including ChatGPT, Claude, Gemini, Grok, Mistral, Perplexity, Copilot, and DeepSeek, with share-of-voice and trend views. Elmo
• rankr.so — Shows per-model visibility, mentions, and sentiment comparisons across models such as ChatGPT, Claude, Gemini, and Perplexity. Rankr
• riffanalytics.ai — Offers dashboards comparing how different AI models mention and rank brands across prompts. Riff Analytics

A typical dashboard looks something like:

One caveat: true model-version attribution can be difficult. Many commercial tools track the AI product surface (e.g., ChatGPT, Claude, Gemini) rather than every underlying model version, because providers frequently change routing and model availability. If you specifically need “brand appearances by GPT-4.1 vs GPT-5 vs Claude Sonnet vs Gemini Pro,” look for tools that let you choose the exact API model or bring your own API keys, such as open-source trackers. Elmo

If you mean enterprise-grade monitoring for a marketing/SEO team, a dashboard of share-of-model across hundreds of prompts, or tracking your brand inside ChatGPT specifically, the best-fit tools differ.

Yes. What you’re describing is generally called AI visibility / LLM visibility tracking or GEO (Generative Engine Optimization) tracking.

A few tools specifically show the distribution of your brand’s appearances by AI model/platform, rather than just giving you one overall score:

• gumshoe.ai — probably the closest match if you care about model/version-level detail. It tracks 11 AI models and shows visibility by model, including variants such as Google Gemini 3 Flash, Claude Opus, GPT-5.4, DeepSeek Reasoner, Grok 4, etc. It also distinguishes pretrained vs. web-search variants and provides time-series tracking. Gumshoe AI
• zumihq.com — tracks up to 9 AI engines and gives mention rate, share of voice, and position by engine, with daily monitoring. Zumi
• synectgeo.io — has an explicit “Distribution by LLM” view. For example, its dashboard can show something like ChatGPT 37%, Gemini 28%, Claude 21%, Perplexity 14%. SynectGEO
• visimatrix.com — tracks 7 assistants and breaks out score, mention rate, and average rank per provider. VisiMatrix
• rankr.so — focuses on daily visibility, position, sentiment, and mentions across ChatGPT, Claude, Perplexity, Gemini, etc. Rankr
• ahrefs.com — a more established SEO-oriented option. It breaks mentions down by platform (ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews) and can benchmark competitors. Ahrefs

If you specifically mean model + version

That's an important distinction. A dashboard saying:

ChatGPT 42% / Gemini 31% / Claude 27%

isn't necessarily telling you what you want.

You may instead want something like:

Gumshoe appears to be the strongest fit for that level of granularity based on the current product descriptions. Gumshoe AI

One caveat: these tools generally run controlled prompts against the models and measure the resulting answers. They aren't literally measuring every conversation happening inside ChatGPT, Claude, etc. So “30% of appearances” means 30% of the tool's tracked/tested AI responses, not 30% of all real-world AI conversations.

If you tell me what you mean by “distribution”—e.g. % of total mentions by model, share of voice vs competitors, rank/position, or actual consumer exposure—I can narrow this down to the 2–3 tools that best fit and compare their pricing/data methodology.

Yes. What you’re describing is usually called AI visibility / LLM brand visibility tracking: a dashboard that runs a consistent set of prompts across AI models and shows how often your brand appears, where it ranks, sentiment, citations, and share of voice.

A few tools that specifically do this:

• gumshoe.ai — Probably the closest match if you want distribution across models and versions. It tracks 11 AI models and can break visibility down by model, including different model variants, plus competitors, personas, topics, sentiment, and trends. Gumshoe AI
• zumihq.com — Tracks up to 9 AI engines, including ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, DeepSeek, AI Overviews and AI Mode. Good if you want broad engine coverage. Zumi
• keysonar.com — Explicitly provides per-model breakdowns, including mentions, citations and top-1 positions. KeySonar
• nightwatch.io — Tracks ChatGPT, Claude, Gemini, Perplexity and Copilot, with mention volume, sentiment, share of voice and competitor monitoring. Nightwatch
• ahrefs.com — Good lightweight/free starting point. It reports total mentions and breaks them down by ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs

If by "distribution" you mean this

For example, you want to see something like:

…and ideally drill down to model/version → prompt → exact response → competitor mentions → citations.

Then Gumshoe, Zumi, and Keysonar look particularly relevant. There are also newer platforms such as riffanalytics.ai that explicitly advertise cross-model visibility across ChatGPT, Gemini, Claude, Perplexity, DeepSeek and Grok. Riff Analytics

One important distinction: "ChatGPT" isn't necessarily one model/version from a measurement perspective. A serious tracker should tell you whether it's testing, for example, a specific GPT model, a web-search variant, or an AI-search surface. Otherwise the apparent distribution can be misleading.

If you tell me what you mean by “brand appearances” (e.g. mentions in answers, recommendations, citations, or share of voice), I can narrow this down to the 3 best tools and compare pricing, model coverage, API/export capability, and version-level granularity.

Yes. What you’re describing is usually called AI visibility, AI share of voice, or increasingly share of model: tracking how often your brand is mentioned/recommended/cited across AI assistants, broken down by model/engine. theStacc Repliq

A few tools currently do this:

• ahrefs.com — tracks mentions across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, with breakdowns by platform, topics, and cited domains. Good if you already use Ahrefs.
• zumihq.com — particularly close to what you're asking for. It tracks up to 9 AI engines, including ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, DeepSeek, Google AI Overviews and AI Mode, and provides per-engine visibility and share-of-voice metrics.
• mentionhq.com — tracks ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Grok, including mentions, positions, citations and competitors.
• synectgeo.io — has an explicit “Distribution by LLM” view, e.g. ChatGPT 37%, Gemini 28%, Claude 21%, Perplexity 14%, along with mentions and citations.
• searchprism.io — tracks ChatGPT, Claude, Gemini and Perplexity and shows per-platform visibility plus overall share of voice.
• rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, with daily checks and share-of-voice reporting.

The distinction I'd make

If by “distribution of our brand appearances” you mean something like:

“Of all the times our brand appeared in AI answers, what percentage came from ChatGPT vs Gemini vs Claude vs Perplexity vs Grok, and how has that changed over time?”

then SynectGEO or Zumi look especially aligned with that use case.

If instead you mean:

“When people ask AI about our category, what percentage of answers mention us vs competitors, broken down by model/version?”

that's AI share of voice, and I'd prioritize a platform that lets you define a consistent prompt set and run it repeatedly. This matters because AI responses are nondeterministic, so a single query isn't a particularly reliable measurement; rigorous measurement uses multiple prompts and repeated runs. OrganiKPI Verity Score

One caveat: “model/version” is harder to measure than “AI platform.” A dashboard may say “ChatGPT,” but the underlying model, search/retrieval behavior, personalization, and product surface can change. Some tools query APIs rather than the consumer applications, so their “ChatGPT” result isn't necessarily identical to what a consumer sees in ChatGPT. NYFTY Labs

If you tell me which models/versions you care about (e.g. GPT-5.6 vs GPT-5, Gemini 3 vs 2.5, Claude Opus/Sonnet, etc.), I can compare the available tools specifically on model-level tracking, historical data, API vs consumer results, competitor share of voice, and pricing.

Yes. What you’re describing is usually called AI visibility / LLM visibility / Generative Engine Optimization (GEO) tracking.

A few tools specifically show where your brand appears across different AI models, including breakdowns by model:

• Ahrefs Brand Radar / AI Visibility Checker — tracks mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, etc. It can break down mentions by platform and track historical visibility and share of voice.
• Indexly — particularly close to what you described: share of voice by platform, daily mention counts, citation probability, sentiment, and trends across ChatGPT, Claude, Gemini, Perplexity, Grok, and AI Overviews.
• VisiMatrix — gives a provider-by-provider visibility score, mention rate, average rank, sentiment, and citations across ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Mistral, and Grok.
• Rankr — shows visibility, position, sentiment, and mentions by individual model, with an overall comparison.
• SynectGEO — has almost exactly the visualization you're describing: “Distribution by LLM”, e.g. ChatGPT 37%, Gemini 28%, Claude 21%, Perplexity 14%.

One important distinction

If by “across different chat AI models and versions” you mean something like:

Our brand was mentioned 42% of the time in GPT-5.6, 31% in GPT-5.5, 18% in Claude Opus 4.1, etc.

—that's a more granular requirement than most AI-visibility products provide. Many aggregate at the platform/provider level (ChatGPT, Claude, Gemini, etc.) rather than exposing every underlying model/version.

If you're trying to build a dashboard for your company, I'd look for these dimensions:

Brand → Prompt → Model/version → Mentioned? → Position → Sentiment → Citation → Competitors

That lets you produce a distribution like:

genui{"chart":{"chartType":"bar","meta":{"title":"Illustrative brand appearance by AI model","description":"Example distribution showing how a brand's mentions could be distributed across model versions."},"layout":"vertical","xKey":"model","series":[{"dataKey":"share","label":"Share of appearances","valueSuffix":"%"}],"data":[{"model":"GPT-5.6","share":38},{"model":"Claude Opus","share":24},{"model":"Gemini","share":19},{"model":"Perplexity","share":12},{"model":"Grok","share":7}]}}

If you tell me what you mean by “brand appearances”—mentions in answers, recommendations, citations, or share of voice—I can point you to the 2–3 best tools for that exact metric, including whether they expose model/version-level data rather than just ChatGPT vs. Claude vs. Gemini.

Yes. What you’re describing is generally called AI visibility / LLM visibility / Generative Engine Optimization (GEO) tracking.

A few tools now specifically show how often your brand appears across different AI models, with model-by-model breakdowns:

• Gumshoe — probably closest to what you described. It tracks visibility across 11 AI models, including ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Grok, and gives model-level visibility, competitor comparisons, sentiment, and trends. gumshoe.ai
• Riff Analytics — tracks brand mentions across ChatGPT, Perplexity, Gemini, Claude, DeepSeek and Grok in one dashboard. www.riffanalytics.ai
• rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, including daily checks and share of voice. www.rank.ai
• Rankr — gives a particularly clean per-model table showing visibility, sentiment and mentions, e.g. ChatGPT vs. Claude vs. Gemini vs. Perplexity. rankr.so
• Ahrefs AI Visibility Checker — useful if you already use Ahrefs. It reports total mentions and a breakdown by ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. ahrefs.com

One important distinction

If by “distribution” you mean something like:

“Of all the times our brand was mentioned by AI, what % came from GPT-5.4, GPT-5, Claude Opus, Gemini 3, Perplexity Sonar, etc.?”

then yes, some platforms can get close, but this is a more specific metric than ordinary “AI visibility.”

Most tools actually measure things like:

Brand appearance rate
→ % of tracked prompts where you're mentioned

Share of voice
→ your mentions vs. competitors

Position
→ how prominently you appear in the answer

Citation share
→ how often your site/content is cited

Per-model visibility
→ appearance rate separately for ChatGPT, Claude, Gemini, etc.

And increasingly they distinguish model/version + search-enabled variants, which matters because “GPT-5” in an API and what a user sees in ChatGPT aren't necessarily equivalent environments.

If your goal is marketing/brand intelligence, I'd shortlist Gumshoe, Riff, and rank.ai. If you tell me what you mean by “distribution” (e.g. % of mentions by model, share of voice by model, or historical trend by model/version), I can find the tool that matches it most precisely.

Yes. What you’re describing is usually called AI visibility / AI search visibility / GEO (Generative Engine Optimization) tracking.

A few tools are particularly close to your use case:

• Gumshoe — probably the closest match if you want brand appearances broken down by individual AI models and model versions. It says it tracks 11 AI models and can show model-level visibility, including examples such as GPT-5.4, Claude Opus, Gemini, Grok, DeepSeek, and Perplexity. gumshoe.ai
• Ahrefs AI Visibility Checker — good for a quick snapshot across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode. It reports total mentions and a platform-by-platform breakdown. ahrefs.com
• Indexly — more analytics-oriented: tracks mentions, citations, sentiment and share of voice across ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews, with daily tracking. indexly.ai
• Birdeye Search AI — useful if you want enterprise reporting. Its Visibility Reports can break performance out by ChatGPT, Gemini, Perplexity, Claude, Grok, Google AI Mode and AI Overviews, with trends and competitor comparisons. support.birdeye.com
• Rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, including daily mention/citation rates and share of voice. www.rank.ai

The important distinction

If by “distribution” you mean something like:

“Of all the times our brand appears in AI answers, what percentage is in GPT-5.4 vs Claude Opus vs Gemini vs Perplexity, and how does that change over time?”

then Gumshoe or Indexly look closest to what you want.

If you mean:

“How visible is our brand within each model, e.g. what percentage of relevant prompts produce a brand mention?”

then most of these platforms can do that too. That's arguably the more meaningful metric because raw appearance counts are heavily affected by how many prompts each platform is queried with.

For example, the ideal dashboard would look something like:

One caveat: “model” and “AI product” aren't always the same thing. ChatGPT, for example, can have different underlying models, search behavior, personalization, and system instructions. So if you're doing serious brand measurement, I'd look for a tool that lets you distinguish model + version + surface (e.g. ChatGPT Search vs regular ChatGPT) rather than simply reporting “ChatGPT.”

If you tell me which models/versions you care about (e.g. GPT-5.4, Claude Opus 4.1, Gemini 2.5 Pro, Perplexity Sonar, etc.), I can compare the current tools specifically on model/version granularity, historical tracking, share-of-voice, API access, and price.

Yes. What you’re describing is generally called AI visibility / AI search visibility / share of voice tracking: tools repeatedly run relevant prompts against different AI assistants/models and show how often your brand appears, where it ranks, and which competitors appear alongside it.

A few good options:

• Ahrefs AI Visibility Checker / Brand Radar — probably the most established option. It breaks visibility down by ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, and can track mentions, citations, topics, and competitors. ahrefs.com
• Gumshoe — particularly interesting if you want model-level distribution. Its dashboard shows visibility across individual models such as GPT, Claude, Gemini, DeepSeek, Grok and Perplexity, plus persona/topic breakdowns and competitive rankings. gumshoe.ai
• Prism — tracks ChatGPT, Claude, Gemini and Perplexity and gives mention rate, position, sentiment, and share of voice by model. www.searchprism.iogumshoe.ai
• rank.ai — useful if you want to define your own customer prompts and monitor them daily across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI surfaces. www.rank.ainyftylabs.com
• Search Visibility — broader model coverage, including ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Grok, Mistral, Llama and Qwen, with visibility-by-model and historical tracking. search-visibility.ai

If by "distribution" you mean something more specific

For example, you might want a dashboard like:

Gumshoe and Prism are closest to this out of the box. www.searchprism.iogumshoe.ai

One important caveat: these aren't measuring a literal census of all ChatGPT/Gemini/Claude conversations. They sample predefined or custom prompts and measure the resulting answers. Since LLM responses are stochastic, good platforms run many prompts repeatedly rather than treating one answer as representative. www.rank.ainyftylabs.com

If you're evaluating this for your company's marketing/brand team, I can also compare the top 5 tools specifically on model/version granularity, share-of-voice, historical trends, competitor tracking, APIs, and pricing and tell you which one I'd pick.

Yes. What you’re describing is generally called AI visibility / LLM visibility / GEO (Generative Engine Optimization) tracking.

The useful distinction is between tools that merely count mentions and tools that actually show how your brand’s appearances are distributed by model, model version, prompt, competitor, and time.

Tools worth looking at

• Gumshoe — probably closest to your description. It reports brand visibility across 11 AI models, with a model-by-model breakdown and time-series trends. It explicitly distinguishes variants such as Google Gemini 3 Flash, Claude Opus, DeepSeek Reasoner, GPT-5.4, Perplexity Sonar, etc. gumshoe.ai
• Ahrefs AI Visibility / Brand Radar — tracks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, with mentions, citations, topics, competitors, and historical tracking in Brand Radar. ahrefs.comwww.elmohq.comwww.getmint.ai
• rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, including daily prompt-level checks and share of voice. www.rank.ai
• Elmo — interesting if you want more control. It's open-source/self-hosted and can track essentially any model through APIs/OpenRouter, including ChatGPT, Claude, Gemini, Grok, Mistral, DeepSeek, etc. www.elmohq.com
• GetMint — focuses on visibility, citations, sentiment and share of voice across major AI models, with filtering by competitor, market, language and intent. www.getmint.ai

If you specifically want a distribution like this

For example:

genui{"chart":{"chartType":"bar","meta":{"title":"Illustrative brand appearances by AI model","description":"Example of the kind of model-level distribution an AI visibility platform can provide. Values are illustrative, not measured data."},"xKey":"model","series":[{"dataKey":"appearances","label":"Brand appearances","valueFormat":"integer"}],"data":[{"model":"ChatGPT","appearances":420},{"model":"Gemini","appearances":310},{"model":"Claude","appearances":185},{"model":"Perplexity","appearances":140},{"model":"Grok","appearances":85},{"model":"DeepSeek","appearances":60}]}}

Then Gumshoe is the one I'd investigate first, because it gets unusually granular about the specific model/variant, rather than treating "ChatGPT" or "Gemini" as a single bucket. gumshoe.ai

One caveat: "brand appearances" can mean several different things. The better platforms let you distinguish:

1. Mention rate — % of prompts where you're mentioned.
2. Share of voice — your mentions vs. competitors.
3. Position — where you appear in the answer.
4. Recommendation rate — how often you're actually recommended.
5. Citation rate — how often your site/content is cited.
6. Sentiment — how the model describes you.
7. Model/version — e.g. GPT-5.x vs. another GPT variant.
8. Prompt/topic — why the model mentioned you.
9. Geography/language — whether visibility differs by market.

If by "distribution" you mean "What percentage of all the times our brand appears in AI answers comes from GPT-5.x vs Claude vs Gemini vs Perplexity, etc.?", that's a slightly more specific analytics requirement. I can compare the current tools specifically on model/version-level distribution, historical data, API access, exports, and pricing and tell you which one best fits that use case.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, AEO (Answer Engine Optimization) tracking, or GEO (Generative Engine Optimization) tools. These tools measure how often and where your brand appears in answers from different AI assistants, often broken down by model. ahrefs.com

Some tools that provide model-by-model brand appearance distributions:

The kind of dashboard you’re describing usually looks like:

Brand: Acme

AI model distribution of appearances

ChatGPT       ███████████████  62%
Claude        ██████████       41%
Gemini        ███████          29%
Perplexity    █████████████    55%
Grok          █████            21%

Share of AI voice vs competitors
Sentiment by model
Top prompts triggering mentions
Cited sources/domains
Trend over time

A few caveats:

• These tools generally do not measure all real user conversations (those are private). They run controlled prompt sets against public AI interfaces/APIs and analyze the responses. www.mentionhq.com
• Results can vary significantly by prompt wording, geography, model version, whether web search is enabled, and whether the model has browsing or retrieval features.
• If you specifically care about model versions (for example, GPT-5.x vs GPT-4.x, Claude versions, Gemini versions), check whether the vendor exposes version-level tracking; many focus on the platform/model family rather than every underlying release. www.riffanalytics.ai

If you’re evaluating this for a brand/marketing team, I’d look for four metrics rather than just “mentions”:

1. Presence rate — % of tracked prompts where you appear
2. Share of voice — your mentions vs competitors
3. Position/rank — where you appear in the answer
4. Citation/source attribution — which sites are causing the model to mention you ahrefs.comrankr.so

Yes. What you’re describing is usually called AI visibility tracking, LLM visibility, or GEO/AEO monitoring.

These tools repeatedly run a set of relevant prompts against multiple AI platforms and show how often your brand appears, where it ranks, what competitors appear instead, and how visibility changes over time.

A few worth looking at:

• Gumshoe — probably closest to your exact question if you want distribution by model/version. It reports brand visibility across 11 AI models and can distinguish things such as GPT versions, Claude variants, Gemini variants, etc. It also shows competitor rankings, sentiment, and trends. gumshoe.ai
• OtterlyAI — strong cross-platform monitoring across ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI Overviews/AI Mode, with brand mentions and share-of-visibility reporting. otterly.ai
• Riff Analytics — specifically positions itself around seeing how often ChatGPT, Perplexity, Gemini, Claude, DeepSeek and Grok mention/rank your brand in one dashboard. www.riffanalytics.ai
• Rankr — simpler dashboard focused on visibility, position and sentiment across ChatGPT, Claude, Perplexity and Gemini. rankr.so
• Ahrefs AI Visibility Checker — useful for a quick baseline; it reports total mentions and breaks them down by AI platform, topics and cited domains/pages. ahrefs.com

One important distinction

If by “distribution across different chat AI models and versions” you mean something like:

Yes—Gumshoe and Riff are particularly aligned with that use case. The more sophisticated platforms are moving beyond simply counting mentions and are measuring which model/version, which prompt/persona, which competitors, position, sentiment, and citations.

One caveat: these aren't measuring the universe of actual ChatGPT/Gemini conversations. They generally create a controlled prompt set and repeatedly query the models, so the result is best interpreted as measured brand visibility under a defined set of representative queries, not “X% of all ChatGPT conversations mention us.” Otterly, for example, explicitly describes its methodology as sending queries to the platforms and aggregating the resulting answers. otterly.ai

If you're evaluating this for a brand/marketing analytics stack, I can also compare Gumshoe vs Profound vs Peec vs Otterly vs Riff specifically on model/version-level tracking, API access, historical data, share of voice, prompt volume, and pricing.

Yes. What you’re looking for is generally called AI visibility tracking, LLM visibility, or Generative Engine Optimization (GEO) tracking.

A few tools currently do this:

• Ahrefs AI Visibility Checker — probably the easiest starting point. It checks your brand across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, and reports total mentions, platform breakdown, topics, and cited sources. ahrefs.com
• MentionHQ — specifically built around cross-model brand monitoring. It tracks ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Grok, including position, competitors, and cited URLs. www.mentionhq.com
• Rankr — gives a particularly useful dashboard view of visibility, position, sentiment, mentions, and share of voice by model. rankr.so
• Riff Analytics LLM Brand Visibility Tracker — tracks how often your brand is mentioned/ranked across ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Grok, with competitor share-of-voice analysis. www.riffanalytics.ai
• Prism — combines AI visibility with traditional search data and shows model-by-model visibility and share of voice. www.searchprism.io

If by “distribution” you mean something more specific

For example, you might want a dashboard like:

That's basically AI share of voice / brand visibility by model.

One important caveat: model/version-level measurement is harder than platform-level measurement. AI responses are stochastic, so asking the same question repeatedly can produce different answers. Recent research argues that AI visibility should be treated as a distribution with uncertainty rather than a single fixed percentage. arxiv.org

So if you specifically need “How often does our brand appear in GPT-5.6 vs GPT-5.5 vs Claude Sonnet vs Gemini 2.x, etc.?”, I'd evaluate the tools differently from someone who just wants ChatGPT vs Gemini vs Perplexity.

If you tell me what you mean by “brand appearances” (mentions, recommendations, citations, rankings, sentiment, or all of them), I can narrow this down to the 2–3 best tools for your use case and compare pricing/features.

Yes. What you’re describing is generally called AI visibility, AI search visibility, or GEO (Generative Engine Optimization) tracking.

A few tools specifically provide a cross-model view of where a brand appears:

• Ahrefs Brand Radar / AI Visibility Checker — tracks mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, and others. It can break down total mentions by platform, prompts, competitors, and cited sources. ahrefs.com
• SearchInsight AI — particularly relevant if you want a dashboard showing visibility across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI. www.searchinsight.ai
• Surva.ai — tracks brand mentions and historical visibility/share-of-voice across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, including the actual responses. www.surva.ai
• DeepSmith — tracks mention rate, citation rate, and share of voice by AI engine, which is close to the "distribution of appearances" metric you're asking about. deepsmith.ai

The metric you're probably looking for

If, for example, you wanted to know:

…and then see how that changes by model/version, geography, prompt category, competitor, and date, that's absolutely a thing you can measure.

One important caveat: "model/version" is harder than "platform." Many tools report ChatGPT or Claude as a whole rather than reliably distinguishing something like a specific GPT version. Also, AI responses are nondeterministic, so a single query isn't a reliable measurement; repeated sampling is much more meaningful. Recent research specifically recommends treating AI visibility as a distribution with uncertainty rather than as a fixed percentage. arxiv.org

If you tell me what your brand is and which models/versions you care about, I can compare the available tools and tell you which one gives the closest thing to a "brand appearances by AI model/version" dashboard.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, GEO (Generative Engine Optimization) analytics, or AEO (Answer Engine Optimization) tools. They measure how often a brand appears in answers from different AI systems and can break results down by model, prompt, competitor, and sometimes model version. www.measurellm.comwww.riffanalytics.ai

Some tools that do this:

The metric you’re describing is usually represented as something like:

• Brand appearance rate — % of tested prompts where your brand appears
• Share of voice — your share of all brand mentions in AI answers
• Model distribution — e.g., “40% of appearances come from ChatGPT, 25% Gemini, 20% Claude…”
• Rank/position — whether you appear as the first recommendation, among alternatives, etc.
• Citation share — which sources AI models use when mentioning your brand
• Version tracking — whether visibility changes after model updates (availability varies by vendor) www.brandbeacon.ai

A caveat: most tools do not have access to a model’s internal logs or every user conversation. They typically run a controlled set of prompts against available AI interfaces/APIs and estimate visibility from sampled outputs. www.reddit.com

If you mean specifically a dashboard like “our brand appears 62% in GPT-5, 48% in Claude Sonnet, 31% in Gemini, broken down by model version”, look for tools that support prompt-level tracking + model/version segmentation, because not all AI visibility platforms expose that granularity. www.measurellm.comwww.riffanalytics.ai

Yes. What you’re describing is usually called AI visibility tracking, LLM visibility, or Generative Engine Optimization (GEO) tracking.

A few tools now specifically measure how often a brand appears/recommends across AI systems:

• Ahrefs Brand Radar — tracks brand mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, and others. It gives platform-level visibility, prompts, competitors, and cited sources. ahrefs.com
• MeasureLLM — particularly relevant if you want a dashboard across ChatGPT, Gemini, Claude, Perplexity, Meta AI, etc., with visibility and competitor analysis. www.measurellm.com
• Surva.ai — tracks mentions/recommendations across ChatGPT, Claude, Gemini, Perplexity and AI Overviews, including prompts and citations. www.surva.ai
• GetMentioned — more focused on daily brand visibility and prompt-level tracking across ChatGPT, Gemini and Perplexity. www.getmentioned.co

But there's an important distinction

If by "distribution across different chat AI models and versions" you mean something like:

Our brand was mentioned in 38% of AI answers

ChatGPT GPT-5.6 — 42%
ChatGPT GPT-5.5 — 37%
Claude Opus — 29%
Claude Sonnet — 34%
Gemini — 51%
Perplexity — 44%
Grok — 21%

…and then showing how that distribution changes over time

That's a more specialized requirement. Most commercial AI-visibility tools report at the platform/engine level (ChatGPT vs. Gemini vs. Claude), rather than giving you clean statistical distributions for specific underlying model versions.

And there's a methodological reason: AI responses are stochastic. The same prompt can produce different answers at different times, so a meaningful measurement should run many samples rather than treat one response as definitive. Recent research specifically recommends treating AI visibility as a distribution with uncertainty rather than a single point estimate. arxiv.org

If you tell me what you mean by "distribution" (e.g. % of answers mentioning you, share of voice vs competitors, model/version breakdown, geographic distribution, or citations), I can identify the closest existing tool and tell you whether it actually supports that level of granularity.

If you mean tracking how often your brand appears in answers from different AI assistants/models (ChatGPT, Claude, Gemini, Perplexity, etc.) and across model versions, there are emerging AI visibility / LLM monitoring tools that do this. They are often described as LLM SEO, AI search optimization, or Generative Engine Optimization (GEO) platforms.

Some tools in this space include:

• Profound — Tracks brand visibility and mentions across AI search experiences, including citation and appearance analysis.
• Scrunch AI — Monitors how brands appear in AI-generated answers and provides optimization insights.
• Peec AI — Tracks brand presence and competitor visibility across AI answer engines.
• Otterly.ai — Provides AI search monitoring for prompts, rankings, and brand mentions.
• Writesonic AI Traffic Analytics — Includes AI search visibility tracking features.

Typical metrics these tools provide:

• Share of voice: percentage of AI responses where your brand appears vs. competitors
• Appearance distribution by model: e.g., ChatGPT vs. Claude vs. Gemini vs. Perplexity
• Model/version tracking (where supported): changes after model updates
• Prompt-level visibility: which user questions trigger your brand
• Sentiment/context: whether the mention is positive, neutral, or negative
• Citation tracking: which websites/sources AI systems rely on when mentioning you

A few caveats:

• There is no universal API or dashboard that has complete coverage of every AI model/version because providers expose different amounts of information.
• Model version attribution can be tricky: many consumer AI products silently update models or route queries dynamically.
• The most reliable approach is usually a prompt monitoring program: define hundreds/thousands of representative queries, run them periodically across models, and measure brand presence.

If you mean internal enterprise analytics (e.g., “we want a dashboard showing our brand’s share of AI answers by model/version”), you may also want to look at building a custom pipeline using model APIs plus a prompt evaluation framework rather than relying only on third-party GEO tools.

Yes. The category you’re looking for is usually called AI visibility tracking, AI search visibility, or Share of AI Voice (SAOV).

A few tools currently do this:

• urlAhrefs AI Visibility Checker / Brand Radarturn0search0 — tracks mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and others. It can show total mentions and breakdown by platform, plus competitors, prompts, and cited sources.
• urlSearch-Visibility.aiturn0search2 — particularly broad model coverage: ChatGPT, Claude, Gemini, DeepSeek, Grok, Perplexity, Mistral, Llama, Qwen, etc. It explicitly provides visibility by model and historical trends.
• urlSurva.aiturn0search1 — monitors ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews, with prompt tracking, citations, and visibility analysis.
• urlHubSpot AI Visibilityturn0search3 — more marketing/SEO-oriented; provides an AI visibility score and comparison against competitors across ChatGPT, Perplexity and Gemini.

If by “distribution” you mean something more specific

For example, you might want a dashboard like:

That's possible, but there's an important distinction: most commercial tools measure platform/answer-engine visibility rather than giving you a statistically rigorous distribution across every underlying model version.

That's because AI responses are stochastic—the same prompt can produce different answers at different times. Recent research specifically argues that AI-visibility metrics should be treated as sample distributions with uncertainty, rather than a single definitive visibility score. arxiv.org

So if your goal is “What percentage of all our AI mentions comes from GPT vs Claude vs Gemini, and how does that change by model/version over time?”, I'd look for a tool with raw response-level data + model/version metadata, rather than just an AI visibility score.

If you tell me what your brand is and which models you care about, I can identify the best tool for exactly that distribution and compare the available options.

Yes. A growing category of tools is designed to measure AI brand visibility (sometimes called LLM visibility, AI search visibility, or AI mention share). These tools track how often your brand appears in responses from models like ChatGPT, Claude, Gemini, Perplexity, and others, and often break results down by model and prompt set.

Some of the better-known options include:

The types of metrics these platforms commonly provide are:

• Brand appearance rate (e.g., your brand appears in 42% of relevant prompts)
• Share of voice versus competitors
• Breakdown by model, such as GPT-5.5 vs. Claude Sonnet vs. Gemini vs. Perplexity
• Breakdown by prompt category (informational, commercial, local, product recommendations, etc.)
• Citation sources used when models provide references
• Historical trends showing whether visibility is increasing or decreasing

One important caveat is that these tools generally do not have access to OpenAI's internal telemetry. Instead, they continuously run large prompt sets against public APIs or web interfaces and aggregate the responses. That means they're measuring observed behavior under their testing methodology, not the complete distribution of what every user sees.

If your goal is specifically "What percentage of ChatGPT responses mention my brand compared with Claude and Gemini?", these platforms can estimate that from sampled prompts.

If your goal is "How many real users actually saw my brand inside ChatGPT?", there isn't a public tool that can provide that. Only the platform operators have access to aggregate usage data, and they don't expose brand-level appearance statistics.

Could you share what you're trying to measure?

• Marketing/SEO (AI visibility)
• PR/brand monitoring
• Product recommendations inside LLMs
• API usage analytics
• Something else

Yes. There are now a few categories of tools that track or estimate brand visibility across AI assistants, though no tool has perfect access to every model's internal outputs. They generally work by prompting models at scale and measuring how often your brand appears, in what context, and with what sentiment.

Some of the better-known options include:

Typical dashboards include:

• Share of voice (% of prompts where your brand appears)
• Ranking position (first recommendation, second, etc.)
• Which competitors appear alongside you
• Citation sources used by AI
• Sentiment and messaging
• Changes over time
• Differences between models

Model/version breakdown

Whether you can see results by specific model version depends on the platform.

Many tools let you compare outputs across assistants such as:

• ChatGPT
• Claude
• Gemini
• Perplexity
• Copilot

Some also distinguish between model variants (for example, different generations or reasoning models) if those APIs are available. However, very granular version-level reporting (such as every dated model snapshot) is often limited because providers update models frequently and don't always expose stable version identifiers.

If you're looking for enterprise-grade monitoring

Platforms like Profound are designed specifically for marketing teams and usually provide:

• Prompt libraries
• Brand visibility over time
• Competitor benchmarking
• Geographic comparisons
• AI citation analysis
• Alerts when visibility changes

If you want to build your own

Many companies also create internal dashboards by:

1. Maintaining a library of hundreds or thousands of representative prompts.
2. Running those prompts periodically against APIs from multiple AI providers.
3. Recording:
   • whether the brand appears,
   • its position in the response,
   • cited sources,
   • competitors mentioned,
   • response quality.
4. Visualizing trends in a BI tool such as Tableau or Power BI.

This approach gives complete control over the prompts and metrics, though it requires engineering effort and API costs.

If your goal is marketing/SEO for AI search (often called GEO or LLM optimization), I can also recommend which platforms are strongest for enterprise, mid-market, or startup budgets.

Yes. A small but growing category of tools now measures AI brand visibility (sometimes called LLM share of voice, AI search visibility, or AI citations). They track how often your brand appears in responses from models like ChatGPT, Claude, Gemini, Perplexity, Copilot, and others.

Some of the better-known options include:

Most of these platforms can show:

• Your brand's share of voice versus competitors.
• Which prompts trigger mentions of your brand.
• How frequently your brand is recommended.
• Which sources or websites the AI appears to rely on.
• Changes over time after PR, SEO, or content updates.

If you're specifically asking about model versions

This is more difficult.

Very few tools can reliably tell you something like:

• GPT-5.5: 42% mention rate
• GPT-5: 38%
• Claude Opus 4: 51%
• Gemini 3: 47%

The reasons include:

• Many providers don't expose historical versions through public APIs.
• ChatGPT users are often automatically routed to updated models.
• Responses vary due to randomness and personalization.

Instead, most platforms report at the assistant level, such as:

• ChatGPT
• Claude
• Gemini
• Perplexity
• Microsoft Copilot

Some enterprise platforms let you pin specific API models (for example, a particular OpenAI or Anthropic model) and benchmark those separately if you're running your own evaluation suite.

If you need detailed model-by-model analytics

If your goal is rigorous benchmarking (for example, "How often does GPT-5.5 recommend us versus Claude Opus?"), many companies build a custom evaluation pipeline using model APIs. They:

1. Maintain thousands of representative prompts.
2. Run those prompts across fixed model versions.
3. Record mentions, rankings, sentiment, and citations.
4. Produce dashboards showing share of voice by model, version, geography, and topic.

This approach gives much finer control than most off-the-shelf AI visibility platforms.

If you're evaluating vendors, I can also recommend which tools are strongest for:

• enterprise brands,
• startups/SaaS,
• ecommerce,
• or agencies managing multiple client brands.

Yes. A category of tools has emerged specifically for tracking AI visibility or LLM brand presence—essentially the equivalent of SEO rank tracking, but for ChatGPT, Claude, Gemini, Perplexity, and other AI assistants.

Some well-known platforms include:

What these tools typically measure

Most of them let you see things like:

• Share of voice across AI platforms
• Frequency your brand is mentioned
• Whether you're recommended versus competitors
• Citation sources used by AI
• Prompt-by-prompt performance
• Trends over time
• Geographic or language differences (on some platforms)

About model/version breakdowns

A true breakdown like:

is less common.

Most vendors compare platforms (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.) rather than every individual model version. There are a few reasons:

• Public-facing products often update models behind the scenes.
• Different users may be routed to different versions.
• Providers don't always expose the exact model version consistently.

Some enterprise platforms let you run your own prompt sets against specific model APIs (for example, GPT-5.5 vs. another OpenAI model) if you connect your own API keys, giving you more granular comparisons.

If you want the most detailed analytics

For enterprise marketing teams, a common setup is:

1. Maintain a library of hundreds or thousands of representative prompts.
2. Execute those prompts on a schedule against each target model/API.
3. Record mentions, rankings, citations, sentiment, and competitors.
4. Build dashboards (often in a BI tool) showing share of voice by model, prompt category, geography, and time.

That approach provides a true model-by-model view instead of relying only on consumer-facing AI apps.

If your goal is brand monitoring for a company, SEO/GEO optimization, or competitive intelligence, I can also recommend which tools are strongest in each area.

Yes. A new category of tools—often called AI visibility, LLM visibility, or AI search observability platforms—does exactly this. They monitor how often your brand appears across AI assistants, compare visibility by model, and track changes over time. wellows.comtrackmyvisibility.com

The strongest platforms typically show:

• Brand appearances by AI model (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.)
• Breakdown by model/version where supported (for example, GPT-5 vs GPT-4.x if the platform can consistently query those versions)
• Share of voice versus competitors
• Prompt-level performance (which prompts mention your brand)
• Citations and source URLs used by AI
• Sentiment and positioning (recommended, neutral, or negative)
• Historical trends over days, weeks, or months. wellows.com

Some notable options include:

One important limitation: no tool has direct access to the internal usage or recommendation statistics of proprietary AI models. Instead, these platforms repeatedly run large libraries of prompts against each model and measure:

• how often your brand appears,
• where it ranks,
• what sources are cited,
• how results change over time.

That means their metrics are statistically useful but are estimates based on sampled prompts rather than official data from OpenAI, Anthropic, Google, or others. trackmyvisibility.com

If your goal is specifically to see something like:

Brand X

• ChatGPT GPT-5: 34% appearance rate
• ChatGPT GPT-4.1: 27%
• Claude Opus: 41%
• Gemini 3: 18%
• Perplexity Sonar: 52%

there are platforms working toward that level of model-specific reporting, though support depends on whether those model versions are publicly queryable and stable over time. wellows.comwww.riffanalytics.ai