Can one dashboard track ChatGPT, Perplexity, Gemini and Google AI Overviews?
99Visibility Research · Updated October 21, 2026 · 5 min read
Short answer
Yes. One dashboard can show all four, but each engine is measured differently. Google AI Overviews has no official API, so tools capture it from Google's search results. ChatGPT, Perplexity and Gemini are sampled by sending prompts. Those methods produce different kinds of numbers, so a good multi-platform tracker reports each engine separately instead of blending them into one score.
Key takeaways
- A multi-platform AI visibility tracker can put every engine on one screen, but it measures each engine with a different method.
- Google AI Overviews has no official API, so tools read it from search results, and it does not appear for every query.
- Chat engines are sampled by prompt, and whether they searched the web for a given answer varies by engine and setting.
- Engines cite in different units and behave very differently, so a single blended score can hide the one platform that matters.
- Before buying, ask each tool how it measures every engine, what it calls 'Google AI', and whether it shows per-engine results.
The short answer: one screen, not one number
A dashboard can show ChatGPT, Perplexity, Gemini and Google AI Overviews side by side. What it can't honestly do is measure them the same way.
There are two collection methods behind every tool in this category:
- Captured from search results. Google AI Overviews has no official API. Tools request Google's results page for a query and extract the overview when one appears. Our page on how tools track AI Overviews without an API covers the mechanics.
- Sampled by prompt. For ChatGPT, Perplexity and Gemini, a tool sends a set of prompts, usually through each vendor's API, and records which brands and sources come back.
The first method shows you what Google displayed for a query. The second shows you what a model said in response to a prompt the tool chose. Both are useful. They are not the same measurement, and averaging them produces a number nobody can interpret.
So the right question isn't "does it cover all four?" It's "does it keep all four apart?"
How each engine actually gets measured
Here is what sits behind each column, as of October 2026.
| Engine | How tools collect it | What limits the number |
|---|---|---|
| Google AI Overviews | Extracted from Google search results | No official API; overviews don't trigger on every query and vary by location and language |
| Google AI Mode | A separate results surface | Google says AI Overviews and AI Mode "may use different models and techniques" |
| Gemini | Prompts sent to the Gemini API, often with Google Search grounding | The API is a proxy for the Gemini app, not for AI Overviews |
| ChatGPT | Prompts sent to the OpenAI API | The app decides when to search, and it rewrites queries before searching |
| Perplexity | Prompts sent to Perplexity's API | Web search is opt-in on the Agent API, so a misconfigured tool can return ungrounded answers |
OpenAI's help documentation says ChatGPT search "typically rewrites your query into one or more targeted queries." That means no prompt set sees the exact query that retrieved your page. Every chat-engine number is a sample of a proxy, which is why prompt tracking and engine-reported data can disagree so widely.
The Gemini row trips people up most. If your tool labels a column "Google AI" and it calls the Gemini API, it isn't showing you AI Overviews. That mismatch explains why a tool's Google AI result often differs from the overview you see.
Why blending engines hides the signal
Three things make a single cross-platform score misleading.
The engines behave very differently
Otterly published a test in 2026 with two sites of roughly 1,000 AI-generated posts each. Google deindexed both. Of the 3,934 AI citations Otterly tracked for one site, 2,718 came from Microsoft Copilot, which grounds on Bing. ChatGPT, Gemini, AI Overviews and AI Mode almost never cited it. A blended score would have reported moderate visibility. The per-engine view showed one engine citing heavily and four barely at all.
The units don't match
Anthropic's web search tool cites short text spans. Perplexity cites whole sources by index number. A Perplexity citation and a Claude citation aren't the same event, so adding them has no shared denominator.
Search isn't always on
Chat engines decide per query whether to search the web. An answer given from training data alone and an answer built from live search results get averaged together unless the tool records which was which.
The practical case for per-platform scores over one blended score is simple: you fix problems engine by engine, so you need to see them engine by engine.
Edge cases worth checking
- Claude and Copilot. Many dashboards stop at four engines. If Claude matters to your buyers, check which tools track Claude as well.
- API versus app. Tools call APIs. Your customers use apps with memory, logged-in context and different default models. Read API answers vs consumer app answers before treating any number as what a real buyer sees.
- Index differences. Google's AI surfaces need your page to be indexed and eligible for a snippet in Google Search. Copilot draws on Bing. Being healthy in one index tells you nothing about the other, as the Bing vs Google index comparison explains.
- First-party reports see more. In Otterly's test, Microsoft's own AI Performance report credited the site with 42,817 citations against 3,934 in Otterly's prompt-based tracker. The time windows may differ, but the gap shows that any prompt sample is a sample.
- Position numbers. Google's own AI report in Search Console shows impressions only. Treat any "AI rank" for Google as unverifiable.
What to ask before you pick a tool
- How is each engine collected? Expect a different answer for AI Overviews than for the chat engines.
- What does "Google AI" mean in this tool? Gemini API, AI Overviews and AI Mode are three separate things.
- Is search on or off for each chat-engine answer? If the tool can't say, the number mixes two kinds of answer.
- Can I see every engine on its own? A headline score is fine as long as the per-engine view sits underneath it.
- Does it show what the engine said, not just whether you appeared? Wrong prices and outdated product names matter as much as absence.
99Visibility's paid plans audit ChatGPT, Google AI Overviews, Gemini, Perplexity and Claude, and report each platform on its own rather than as one blended figure. Whatever tool you choose, hold it to the five questions above.
Frequently asked questions
Why don't AI Overviews results come from an API like ChatGPT results do?
Google doesn't offer an official API for AI Overviews, as of October 2026. Tools instead request Google's search results for a query and extract the overview when it appears. That captures what Google actually showed, but overviews don't trigger on every query and vary by location and language, so coverage depends on the queries and settings the tool uses.
Is the Gemini column in my tool the same as Google AI Overviews?
Usually not. Most tools measure Gemini by calling the Gemini API, sometimes with Google Search grounding turned on. That is a proxy for the Gemini app. AI Overviews and AI Mode are separate surfaces, and Google says they may use different models and techniques. If you care about AI Overviews, confirm the tool captures it from search results.
Can a dashboard tell me my rank inside Google's AI answers?
No tool can verify one. Google's generative AI report in Search Console shows impressions only, with no position data, and Google says third-party tools don't have access to its internal ranking data. Presence, absence and which sources were cited are measurable. A rank number for Google's AI surfaces has nothing to be checked against.
Why do two tracking tools give me different numbers for the same engine?
They send different prompts, at different times, possibly with search on or off, and count citations in different ways. ChatGPT also rewrites queries before searching, so neither tool sees the real retrieval query. Compare tools on method, not on headline numbers, and expect engine-reported data such as Bing's AI Performance report to count more than any prompt sample.
Is a free check enough, or do I need continuous tracking?
A one-off check tells you whether an engine names you today for a few buyer questions. The free checker on this site does that for up to three questions. It is a snapshot. If you're changing your site or watching a competitor, you need repeated measurement per engine to see whether anything moved.
Sources
This page is AI-assisted. It was written from a verified evidence base and checked against our editorial policy. Engine behaviour changes often; facts are as of October 21, 2026.