Gemini Visibility Checker

Gemini answers from two things working together, and a visibility check is only meaningful if it accounts for both.

• The model's own knowledge. Gemini has a trained understanding of the world from its pre-training data. Useful for general questions, but frozen, un-editable, and not where most business recommendations are decided.
• Grounding with Google Search (the layer that matters). When a question needs current, specific answers, Gemini retrieves live results from Google's index, reads them, synthesises a reply and cites a handful of sources. This is the layer you can influence, and it is powered by the same Google Search you have been optimising for years.

That single fact changes the whole game versus ChatGPT. ChatGPT's live layer leans on Bing, so your Google authority does not automatically transfer to it. Gemini is the opposite: the backlinks, rankings and index coverage you have earned in Google are exactly what Gemini grounds on. The work carries over. The catch is that grounding still has to choose you from the results it retrieves, and being retrievable is not the same as being cited.

Because Gemini grounds on Google, businesses assume a strong Google ranking guarantees a mention. It does not, for two structural reasons.

First, the Google-Extended trap. Google indexes your site with Googlebot, but whether your content may be used in generative answers is governed by a separate robots.txt token, Google-Extended. Blocking it does not touch your Search ranking - Google is explicit about that - so your position looks untouched while Gemini quietly stops using you. Over the last two years a huge number of sites bolted on a well-meaning "block AI training" rule, a plugin default, or a CDN toggle that disallowed Google-Extended without anyone realising it also switched off Gemini. You can be page one in Google and simultaneously invisible in Gemini's generated reply.

Second, ranking is necessary but not sufficient. Grounding pulls a set of candidate pages, then Gemini writes an answer and cites only the few it can quote cleanly - the ones with a liftable claim, a resolvable entity, and the E-E-A-T signals Google already trusts. A page can rank well yet never be cited because the model cannot extract a crisp sentence from it, or cannot tell which brand the page is even about. A Gemini-specific checker exists precisely because a rankings report will show green while Gemini stays silent.

ChatGPT has three OpenAI crawlers. Gemini's access is governed by three Google-side controls that are easy to trip without noticing, because each does a completely different job:

• Googlebot - the crawler that indexes your site for Google Search. Since grounding retrieves from that same index, if Googlebot cannot reach or render your pages, Gemini has nothing to ground on. This is the front door.
• Google-Extended - a robots.txt token, not a separate spider. It controls whether your content may help train and ground Google's generative models, Gemini included. Allow it and you stay eligible for Gemini's answers; disallow it and you are removed from them while your Search ranking is untouched - the single most common accidental way sites disappear from Gemini.
• Snippet controls (nosnippet, max-snippet, data-nosnippet) - these limit how much text Google may show, and they also govern what can be lifted into AI Overviews. Set them too tight and you can rank yet be excluded from the AI summary at the top of the page because there is nothing Google is permitted to quote.

A blanket "block the bots" rule or an over-cautious snippet policy can silence you across every Gemini surface while your team assumes the site is wide open in Google. SearchScore checks each control separately and tells you which are actually letting Gemini in.

You get a single score and a ranked fix list, so you know which change moves Gemini visibility first. The same audit also covers ChatGPT, Perplexity, Claude and Google AI Overviews - but this page is built around what's true for Gemini.

For ongoing monitoring, SearchScore's Tracker goes one step further: it puts real prompts to six live engines - Gemini, ChatGPT, Claude, Perplexity, Grok and DeepSeek - and counts exactly how often each one cites you, with a dedicated Gemini column. We don't guess whether Gemini names you; we ask it and count.

Because Gemini grounds on Google, the good news is that classic Google work and Gemini optimisation reinforce each other. The fixes that matter, in the order they usually pay off:

• Unblock the door. Confirm Googlebot can crawl and render your key pages, and that Google-Extended is not disallowed in robots.txt. This one line can be the whole reason you are absent.
• Loosen over-tight snippet rules. Remove blanket nosnippet or a punishingly low max-snippet on pages you want quoted, so Google is permitted to lift a passage into AI Overviews.
• Write answer-first. Lead each section with a direct, self-contained sentence that answers the question, then expand. Gemini cites text it can extract without rewriting.
• Pin your entity. Add consistent Organisation, Person and author schema, keep your name and details identical across the web, and earn the Knowledge Graph presence that tells Gemini which brand you are.
• Earn the trust Google already scores. Genuine expertise, named authors, reviews and third-party references raise both your ranking and your odds of being the source Gemini chooses to name.

Run the checker on your own domain, then on the competitor Gemini keeps recommending instead of you - the gap between the two scores is usually the clearest brief you'll ever get for what to fix. Enter your URL to see where you stand, free.

Proof this pattern holds in the wild: across 1,038 UK accountancy firms SearchScore audited, 97% let AI crawl them yet only 18 (1 in 60) covered all five AI-readiness basics. Among 150+ London firms, the average GEO score was just 52.8/100 and only 4 reached the Strong tier. Being reachable is not the same as being recommended.