Is Google's AI Overview citing your product — or skipping it?
AI Overviews now sits above the organic results your PDPs spent years earning. This checker runs four live structural checks — Google crawler access, Product JSON-LD, answer coverage, entity clarity — plus a web-grounded Gemini retrieval probe, and returns a 0–100 composite with the fix guide linked from every finding.
Rate limit: 1 run per 30 seconds per IP — each run spends live fetch and model calls. Google publishes no AI Overviews API; the retrieval probe is a web-grounded Gemini run, labeled as a proxy.
How the AI Overview tracker works
Why a proxy at all? Because Google ships AI Overviews as a Search feature with no public API, every "AI Overview tool" on the market either scrapes SERPs (fragile, often days stale) or measures the inputs Google has documented. This checker does the second, honestly labeled: the structural checks mirror Google's own guidance on AI features in Search — be indexable, ship structured data, answer the question — and the Gemini probe adds a retrieval-grounded signal from the model family behind the feature.
What each check measures — and the guide that fixes it
| Check | Why it gates AI Overviews | Fix guide |
|---|---|---|
| Google crawler access | AI Overviews builds on the standard Search index. A Googlebot block removes the page entirely; Google-Extended and GoogleOther govern the Gemini side. The checker reports each token separately. | Fix robots.txt |
| Product JSON-LD | Schema is how Google resolves what the page sells — and how price, availability, and rating reach AI-generated shopping modules. | Schema for AI search |
| Answer coverage | AI Overviews answers a question, then cites the pages that answered it. Thin prose and missing FAQ coverage forfeit the citation. | Optimize content |
| Entity clarity | Ambiguous title, duplicate H1s, or a missing canonical make Google describe your product from third-party pages instead of yours. | Product AI visibility |
| Retrieval probe | The closest honest signal to "would a Gemini-grounded answer use this page" — see the citation analysis entry for how citations differ from mentions. | AI Overviews tracking |
How to track AI Overviews — one run vs. a schedule
One run answers one question: can this page be retrieved and cited today? Tracking AI Overviews is a different job. The feature's coverage shifts with query mix, model updates, and index refreshes, so a page cited this week can drop out next week with no change on your side. The teams that catch those drops re-test the same products on a fixed cadence and compare against history — manually, that means a weekly spreadsheet of incognito SERP checks per product, and the discipline rarely survives a month. The walkthrough at get my products into Google AI Overviews covers both the manual cadence and the faster one.
The paid eCommerce Insights product treats Google AI Overviews as one of six engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, Copilot — checked per product on every refresh, weekly on Starter and daily on Growth, with alerts on visibility drops so a lost citation surfaces in days, not quarters.
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Frequently asked questions
Is this a real AI Overviews query or a simulation?
How do I track AI Overviews over time, not just once?
How is this different from the ChatGPT Product Visibility Checker?
My product scored low. What do I fix first?
Does blocking Google-Extended remove my products from AI Overviews?
One page checked free. Every product, tracked.
The checker answers "can this page be cited today?" The product answers it every week, per product, across six engines.