AI Platforms
Track your brand across nine AI engines
ChatGPT, Claude, Gemini, Perplexity, Grok, Meta Muse, Google AI Overviews, Google AI Mode and Copilot each answer the same buyer question in their own way. Rankry tracks how every one of them names, ranks, describes and cites your brand, so you can fix the engine that is actually costing you.
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AI engines Rankry tracks
9 enginesFrom Google’s live results
Azure GPT + Bing, via Microsoft’s API
Each engine kept separate
In short
AI platform tracking is measuring how each AI engine answers your buyers’ questions and whether it names your brand. Rankry tracks nine: ChatGPT, Claude, Gemini, Perplexity, Grok and Meta Muse through their APIs with web search, Google AI Overviews and Google AI Mode from Google’s live results, and Copilot through Microsoft’s official API, as Azure GPT with Bing web search. Every engine is kept separate, with the full answer stored for every new run, so you can see which one is costing you.
Six AI assistants
Which AI assistants does Rankry track?
ChatGPT, Claude, Gemini, Perplexity, Grok and Meta Muse, asked through their APIs with web search available. Each prompt gets one answer per engine on every run, with no account, memory or chat history. ChatGPT, Gemini and Perplexity are on every plan; Claude, Grok and Meta Muse are add-ons.

ChatGPT
Asked through OpenAI’s API with web search. Track whether ChatGPT names you, your position and the pages it cites.
Track ChatGPTClaude
Asked through Anthropic’s API with web search. See how Claude ranks and describes you, and what it cites.
Track Claude
Gemini
Grounded in Google Search. Track your brand in Gemini’s answers and the pages they draw on.
Track Gemini
Perplexity
Search-first answers. Track mentions, position and every source in Perplexity’s search results.
Track Perplexity
Grok
xAI’s assistant, asked with web search. Track mentions, tone and the links Grok cites in its answers.
Track GrokMeta Muse
Meta’s assistant, asked through Meta’s official API with web search on. Track mentions, position and the links it cites.
Track Meta MuseTwo Google search surfaces
Which Google AI surfaces does Rankry track?
Google AI Overviews and Google AI Mode, captured from Google’s live results through DataForSEO on desktop, from your project’s location. They are included on Pro or available as Base add-ons, and not for projects in Belarus, Iran or Russia.
Google AI Overviews
Google’s AI summary above the regular results. Track whether it names you, references your pages, and when Google shows none.
Track Google AI OverviewsGoogle AI Mode
Google’s conversational search. Track where AI Mode names your brand, with the full answer and every page it references.
Track Google AI ModeMicrosoft’s API
How does Rankry track Copilot?
Copilot uses Azure GPT with Bing web search through Microsoft’s official API. Each prompt gets one answer per run, with no account, memory or chat history. Copilot is an add-on on Base and Pro.
Methodology
How does Rankry ask each AI engine?
Through each provider’s API, or from Google’s live results for the two Google surfaces. Rankry never logs in to a consumer app or drives a browser. Every prompt is sent as written, and a separate model then lists the brands each answer names, in order, with the reasons given.
| Engine | How Rankry asks | Sources captured | Location |
|---|---|---|---|
| ChatGPT | OpenAI Responses API with web search, up to one search per answer | Search results consulted, plus cited links | City, state and country as context |
| Claude | Anthropic Messages API with web search, up to one search per answer | Inline citations, plus web search results | City, state and country as context |
| Gemini | Gemini API with Google Search grounding | Grounding source URLs | City, state and country as context |
| Perplexity | Perplexity Agent API, fast preset | Search results returned with the answer | City, state and country as context |
| Grok | xAI Responses API with web search, up to one search per answer | Links cited inline only | City, state and country as context |
| Meta Muse | Meta’s official API with web search, up to one search per answer | Links cited in the answer | Country, state and city as an approximate location |
| Google AI Overviews | Google’s live results via DataForSEO, desktop, overview expanded | References inside the overview | Project country or state; Global uses the United States |
| Google AI Mode | Google’s live AI Mode results via DataForSEO, desktop | References in the answer | Project country or state; Global uses the United States |
| Copilot | Azure GPT with Bing web search, through Microsoft’s official API | Links cited in the answer | Country, state and city as an approximate location |
The six assistants and Copilot get one answer per prompt per run, with no account, memory or chat history. Web search is available to the six assistants but not forced, so an answer given without a search has no sources. Global projects send no location to the assistants or Copilot.
Why per engine
How do the AI engines differ?
They write different kinds of answers from different sources, so the same brand can lead in one engine and be missing from another. This is the short version; each platform page goes deeper.
| Engine | Kind of answer | What it draws on | Where to start |
|---|---|---|---|
| ChatGPT | Conversational shortlist, often numbered | Model knowledge, plus web search when it chooses | Clear category and comparison pages; OAI-SearchBot access |
| Claude | Considered answer, often with conditions | Model knowledge, plus cited web search | Consistent descriptions on your site and independent sources |
| Gemini | Assistant answer grounded in Google Search | Google’s index | Google indexing and pages that rank for the topic |
| Perplexity | Search-first answer with a source list | Live search results | Specific, current pages that answer the question |
| Grok | Direct answer with fewer caveats | Model knowledge, plus web search cited inline | Clear positioning and coverage on sites its search finds |
| Meta Muse | Assistant answer, with cited links when it searches | Model knowledge, plus web search when it chooses | Public, crawlable pages that answer the question |
| Google AI Overviews | Short summary above the results, for some searches | Google’s index | Googlebot indexing and pages that answer the query |
| Google AI Mode | Full conversational answer in its own tab | Google’s index | Pages that answer longer questions and comparisons |
| Copilot | GPT answer grounded in Bing web search | Bing’s index | Bing indexing and pages that answer the question |
Patterns seen in answers, not published rules. Engines change often, which is why Rankry tracks them over time.
One score hides the gap
Why track each AI engine separately?
The engines disagree, and the disagreement is the useful part. Tracking each one separately turns “improve our AI visibility” into a specific list: which engine, which prompt, which competitor.
Different models, different answers
Each engine uses its own model and its own search. A brand named first in ChatGPT can be missing from Claude or AI Mode for the same question.
Sources differ by engine
Perplexity shows its search results, Grok only the links it cites inline, Google surfaces their references. What you can fix depends on what each engine draws on.
Fix the engine that costs you
With each engine’s visibility, position and sentiment side by side, you spend effort where the gap is biggest, not where it is easiest.
For every engine
What does Rankry record for each engine?
The same measurements on all nine engines, so you can compare them directly. All figures are computed from stored answers, so adding or removing a competitor recalculates history instantly.
- Whether each engine names your brand, prompt by prompt
- Your position when named
- Sentiment of every answer: Positive, Neutral or Negative
- The brands named instead of you, with each engine’s reasons
- The sources behind the answer, where the engine gives them
- The full answer text for every new run
- Every run kept in prompt history, per engine
- Share of voice against your tracked competitors
- Your numbers per engine side by side in Model comparison
Schedule
How often are the engines checked?
Reports refresh automatically every day, or every 3 or 7 days if you choose, and the dashboard shows when the next scan is due. Each run asks every prompt on the engines it uses, and failed answers are retried automatically.
New prompts don’t wait for the schedule: they are answered right away on the engines you pick when you add them.
Every run is kept in prompt history for your plan’s history window, 90 days by default, with each engine’s answer, your position, the sources and the sentiment, so you can compare any two runs side by side.
Which AI engines does Rankry track?
Nine: ChatGPT, Claude, Gemini, Perplexity, Grok and Meta Muse, which Rankry asks through their APIs with web search, plus Google AI Overviews and Google AI Mode, which it captures from Google’s live results, and Copilot, which uses Azure GPT with Bing web search through Microsoft’s official API. ChatGPT, Gemini and Perplexity are on every plan; the Google surfaces are included on Pro and available as add-ons on Base; Claude, Grok, Meta Muse and Copilot are add-ons on Base and Pro. For every engine Rankry records whether your brand is named, your position, the sentiment, the competitors named and the sources, and stores the full answer for every new run.
Why track AI visibility per engine instead of one score?
Because the engines disagree. The same buyer question can name your brand in ChatGPT, skip it in Claude and reference a competitor in AI Mode, since each uses a different model, different search and different sources. A blended number hides where you are losing. Rankry keeps every engine separate, and the Model comparison table shows your visibility, position and sentiment for each side by side.
How does Rankry ask each AI engine?
The six assistants are asked through their official APIs: OpenAI and Anthropic with their web search tools, Gemini with Google Search grounding, Perplexity through its Agent API, Grok through xAI’s API with web search, and Meta Muse through Meta’s API with web search. Each prompt is sent as written, once per run, with your location as context where the project has one. Google AI Overviews and AI Mode are captured from Google’s live results through DataForSEO, on desktop, from your project’s location. Copilot uses Azure GPT with Bing web search through Microsoft’s official API.
Does Rankry use the real ChatGPT, Claude or Gemini apps?
No. Rankry does not log in to consumer apps, drive a browser or scrape them. It asks through each provider’s API, so answers carry no personal memory, chat history or account settings. That gives a consistent, repeatable read you can compare run to run. For Google AI Overviews and AI Mode, the answer is Google’s own, captured from live search results.
Are Google AI Overviews and AI Mode on every plan?
No. They are included on Pro and available on Base as add-ons for $20 a month each, and engines a plan does not include are shown greyed out or blurred in the dashboard. They are also not available for projects in Belarus, Iran or Russia; onboarding warns you if you choose one of those countries.
Can I choose which engines each prompt runs on?
Yes. When you add prompts, you pick the engines they run on; engines not on your plan are disabled. A CSV import can carry a models column for the same purpose. Prompts without their own selection run on every engine your plan includes. The engines for a prompt are set when it is added.
How often does Rankry check each engine?
Reports re-run automatically every day, or every 3 or 7 days if you choose, across the engines each prompt uses. New prompts are answered right away when you add them.
Do all engines show sources?
Not in the same way. ChatGPT and Claude return search results and cited links when they search; Gemini returns grounding sources; Perplexity returns its search results; Grok returns only the links it cites inline; Meta Muse and Copilot return the links cited in the answer; AI Overviews and AI Mode carry references in the answer. Web search is not forced for the assistants, so an answer given without a search has no sources.
Do I need a different strategy for each engine?
The basics are shared: be readable by AI crawlers, state clearly what you do, and be described accurately on the sites engines use. The emphasis shifts: sources weigh heavily on Perplexity, Google indexing matters for Gemini, AI Overviews and AI Mode, Bing indexing matters for Copilot, and Grok rewards clear positioning. Each platform page covers what to do there, and Rankry’s Action plan orders the work.
How is visibility measured on each platform?
Visibility is the share of an engine’s answers to your prompts that name your brand, with each answer counting once. Position is your average rank when named, share of voice compares your mentions with your tracked competitors, sentiment is judged answer by answer, and Diversity counts how many engines name you. All of it is computed from stored answers, so adding a competitor recalculates history instantly.
See your brand across nine AI engines
ChatGPT, Gemini and Perplexity on every plan, Google AI Overviews and AI Mode on Pro or as Base add-ons, and Claude, Grok, Meta Muse and Copilot as add-ons.
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