Can you track what Google AI Mode says about your brand?

You can track AI Mode, but every method is a sample. A tracker runs a set of queries in AI Mode, saves what comes back, and checks each answer for your brand, your facts and your links. Repeat that on a schedule and you get a trend.

Three limits shape what that trend means:

• No first-party feed. Google publishes no API that returns AI Mode answers for your brand.
• No position data. Google's own AI reporting has no position dimension, so any "AI Mode rank" is a number with nothing to validate it against.
• The query you test isn't always the query Google runs. Google says it may use a "query fan-out" technique, issuing multiple related searches across subtopics. Your test query is a proxy for inputs you can't see.

So the honest output is presence, accuracy and cited links for named queries on named dates. That is still useful. It tells you whether AI Mode names you and whether it gets your facts right. For the platform-level detail, see tracking Google AI Mode answers.

Google runs several generative products, and they are easy to blur together. Treat each as separate.

Google's AI features documentation says AI Overviews and AI Mode "may use different models and techniques" and can return different links. AI Overviews also often don't trigger at all, while AI Mode is a page the user chooses to open.

The Gemini API with Google Search grounding is a fourth retrieval path. The model generates and runs its own search queries, and a developer decides when to call it. A tool that calls the Gemini API is measuring that path, not AI Mode. If a vendor labels a column "Google AI", ask which of the four it actually queries. The Gemini tracking page and how tools track AI Overviews without an API cover the neighbouring surfaces.

Every serious method follows the same steps:

1. Pick buyer queries. Write the questions a customer would ask, such as "best payroll software for a 20-person agency". Say you run a dental clinic in Austin: "emergency dentist Austin open Saturday" is a real buyer query. Your brand name alone is not.
2. Fix the conditions. Record location, language and device for each run, since results for the same query can differ across them.
3. Capture the full answer. Save the answer text and every linked source, not just a yes or no on your name.
4. Check facts, not just mentions. Compare stated prices, features and locations against what's true. A wrong price is a worse result than no mention.
5. Repeat on a schedule. One run is a snapshot. Change only shows up across runs.

Commercial SERP data providers offer AI Mode endpoints that return the answer and its references for a query. Tools built on these, or on browser automation, are doing steps 3 to 5 at scale. For the general method across engines, see how AI visibility tracking works.

Search Console's generative AI performance report covers AI Overviews and AI Mode. As of October 2026 it reports impressions only, split by pages, countries, dates and devices. It has no clicks, no CTR, no position and no queries. Google has described further metrics only as a future intention, and the Search Analytics API doesn't cover this report.

That means Google's own report can tell you a page appeared in an AI surface. It can't tell you what the answer said about you, or whether anyone clicked.

Two currency traps matter if you pull this data:

• The report finished its global rollout around 11 August 2026, while the help page still described a partial rollout for a while.
• Google confirmed a bug that depressed impressions in both the Search and generative AI reports from roughly 12 to 13 August 2026. Treat any trend that spans that window with care.

Search Console also holds a control most audits miss. Inclusion in AI Overviews, AI Mode and Discover's generative features is on by default, but an owner can opt out, and child properties inherit the parent's setting. That setting isn't visible from outside.

Before you trust any AI Mode figure, rule these out:

• You aren't eligible. Google's AI features documentation says a page must be indexed and eligible to show with a snippet to appear as a supporting link. noindex, nosnippet, max-snippet:0 and data-nosnippet all keep content out of AI answers. Check that templates haven't applied them by accident.
• You blocked the wrong thing. There is no robots.txt token for AI Mode. Googlebot rules are the control. Blocking Google-Extended affects Gemini training and grounding, not AI Mode.
• The property opted out. See the inherited Search Console setting above.
• The score blends surfaces. A single number averaging AI Mode with ChatGPT or AI Overviews hides what each engine does. Read why one dashboard across all engines needs per-surface scores.

None of these checks guarantee AI Mode will name you. They remove the reasons it can't.

Start with what's in your control, then measure.

1. Confirm your key pages are indexed and carry no snippet suppression.
2. Check the Search Console generative AI inclusion setting on every property, including child properties.
3. Write five to ten buyer queries and run them in AI Mode, recording location, date and every cited link.
4. Flag any wrong fact and fix it on your own site first, stated plainly on a page Google can index.
5. Re-run monthly and compare.

For a quick first look, the Google AI Mode Checker shows how AI Mode answers a query you enter. Then compare it against other models using LLM visibility tracking.

Is AI Mode the same as AI Overviews? No. Both draw on the Google Search index and both require a page to be indexed and snippet-eligible to appear as a supporting link. But Google says they may use different models and techniques and can show different links. AI Overviews appear inside regular results and often don't trigger. AI Mode is a separate results experience. Track them as two surfaces.

Does tracking the Gemini API tell me what AI Mode says? No. Grounding with Google Search in the Gemini API is a developer-invoked path where the model writes and runs its own queries. It's billed separately and isn't the AI Mode results page. It can be a rough proxy for how a Gemini model answers with search, but it isn't an AI Mode measurement. Ask any tool which surface it actually queries.

Can I block AI Mode with robots.txt? Not separately. There's no robots.txt token for AI Mode or AI Overviews. Googlebot rules govern all Google Search surfaces, so blocking Googlebot removes you from Search as a whole. To keep specific content out of AI answers, Google documents nosnippet, max-snippet, data-nosnippet and noindex. Search Console also has an opt-out for generative features, rolling out gradually.

Will schema markup or an llms.txt file help me show up in AI Mode? Google's AI optimization guide says you don't need new machine-readable files, AI text files or special markup for its generative features, and that Google Search ignores llms.txt. Google also says there are no additional technical requirements beyond normal Search eligibility. Existing markup does no harm. It just isn't a lever for appearing in AI answers.