Why doesn't my tool's 'Google AI' result match the AI Overview I see?
99Visibility Research · Updated October 21, 2026 · 5 min read
Short answer
Your tool and your browser are probably looking at different Google products. Many AI visibility tools label a column 'Google AI' but call the Gemini API with Google Search grounding. That is a proxy for the Gemini app, not AI Overviews or AI Mode. Google says AI Overviews and AI Mode may use different models and techniques, so the answers and links can differ.
Key takeaways
- A 'Google AI' score built on the Gemini API with grounding measures a developer surface, not the AI Overview on a results page.
- Google documents that AI Overviews and AI Mode may use different models and techniques and can show different links.
- AI Overviews have no official API, so tools either capture the results page or substitute another surface.
- Location, language, device and the fact that AI Overviews often don't trigger all change what you see.
- Ask every tool which Google surface it measures, how it collects it, and when.
The short answer: 'Google AI' is usually not AI Overviews
Google runs several generative surfaces, and a tool can only measure the ones it can reach. AI Overviews has no official API. The easiest Google surface for a tool to call is the Gemini API with Grounding with Google Search, a separately billed developer feature. So a column labelled 'Google AI' often means 'what the Gemini API said when we let it search'.
That answer is a reasonable stand-in for the Gemini app. It isn't what Google shows above the organic results. Google's own documentation says AI Overviews and AI Mode "may use different models and techniques", and they can return different links for the same query. If two Google surfaces can disagree with each other, a third one can disagree with both.
What it means: a mismatch is expected, not a bug. The fix is to know which surface each number comes from. This is one of the most common reasons AI visibility tools disagree about the same brand.
Four Google surfaces, four different measurements
As of October 2026, the evidence describes at least four Google generative paths. They differ in model, in how retrieval works, and in which controls govern them.
| Surface | Where people see it | How a tool can measure it |
|---|---|---|
| AI Overviews | Top of a Google results page | Capture the results page; no official API |
| AI Mode | Separate tab in Google Search | Capture the AI Mode response |
| Gemini app | gemini.google.com and mobile app | Approximate it through the Gemini API |
| Gemini API grounding | Developer integrations | Call it directly |
The models differ too. Google has said AI Mode has defaulted to a Gemini 3.5 Flash model since May 2026. For AI Overviews, Google publishes only "Gemini 3" family, with no exact version. The Gemini app lists its own selectable models, and its free-tier default isn't stated.
Retrieval differs as well. The Gemini API generates its own search queries and runs them, so the tool never sees the exact searches. Read more on how Gemini grounds answers.
Why even a real AI Overview capture can differ from yours
Suppose your tool does capture actual AI Overviews. You can still see something different, for reasons that sit outside anyone's control.
- No trigger. Google says AI Overviews often don't appear at all. A tool and a person can search the same phrase and one gets an overview while the other doesn't.
- Location and language. Whether an overview appears, and what it says, varies by location and language.
- Timing. A capture from last Tuesday is a snapshot. The overview can change between runs.
- Wording. You may have typed a slightly different query than the one the tool tracks.
Say you run a dental clinic in Austin. Your tool captured an overview for 'emergency dentist Austin' from a US datacenter. You searched from your phone on a nearby street with different wording. Those are two separate observations, and neither is wrong.
The controls differ as well. Google-Extended governs Gemini apps training and grounding, and Google says it does not affect inclusion in Search. AI Overviews and AI Mode follow Googlebot and index eligibility instead. Google's common crawlers doc spells out that split.
What to ask a tool about its Google numbers
You don't need to reverse-engineer a vendor. Ask these questions and expect plain answers.
- Which surface is this? AI Overviews, AI Mode, the Gemini app, or the Gemini API. If the answer is 'Google AI', ask again.
- How is it collected? A results-page capture measures what Google showed. An API call measures what a model generated. See how tools track AI Overviews without an API.
- Which model and settings? For an API column, which Gemini model, and was grounding on.
- Where and when? Country, language, device and capture date for each result.
- How are no-overview queries handled? A query with no AI Overview should be reported as 'no overview', not as 'you weren't cited'.
- Is AI Overviews separate from AI Mode? Blending them hides the difference Google itself documents.
If a tool gives you one blended Google number, treat it as a model of visibility, not a measurement. The same applies to one dashboard for every AI engine.
What to do next
Start with the one first-party number Google gives you. Search Console's generative AI report shows impressions for AI Overviews and AI Mode, with no clicks, CTR or position. Here's how to see AI Overview impressions in Search Console.
Then check a few of your priority queries directly. The AI Overview Checker on 99Visibility shows what Google displays for a query, which you can compare against your tool's 'Google AI' column.
Finally, fix what you control. To be eligible as a supporting link in AI Overviews or AI Mode, Google says a page must be indexed and eligible to show with a snippet. There are no additional technical requirements. Check for stray noindex or nosnippet directives before worrying about any score.
Frequently asked questions
Is the Gemini API a good proxy for Google AI Overviews?
Not a reliable one. The Gemini API with grounding is a separate, developer-billed Google path. Google says AI Overviews and AI Mode may use different models and techniques, and AI Overviews runs inside Search with its own triggering rules. An API answer tells you roughly how a Gemini model with search access describes you. It doesn't tell you what appears on a results page.
Why doesn't my tool show an AI Overview for a query where I see one?
AI Overviews don't appear on every results page, and whether one appears varies by location and language. The tool may have searched from a different country, on a different date, or with different wording. Ask the vendor for the capture location and date. If they can't give you those, you can't compare the two observations.
Can a tool tell me my rank inside an AI Overview?
No tool can validate one. Google's generative AI report in Search Console exposes impressions only, with no position data. Google also says third-party tools don't have access to its internal ranking data. A tool can report whether you were cited in a captured overview. Any 'position' figure is the tool's own construct.
Does blocking Google-Extended remove me from AI Overviews?
No. Google says Google-Extended controls Gemini apps training and grounding, and does not affect inclusion in Google Search. There is no robots.txt token that blocks AI Overviews or AI Mode specifically. Googlebot rules and snippet controls like nosnippet govern those surfaces, which is another reason Gemini and AI Overviews results can diverge.
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.