AiVisible
Gemini Visibility

Visibility in Google Gemini and AI Overviews

Google places generated answers directly in the search experience. We measure Gemini and AI Overviews separately, because a brand can be present in one and absent from the other.

2

Surfaces measured separately

1

Category to start with

Full

Answers recorded

The problem

Why your company does not appear in Gemini

Organic ranking and presence in a generated answer are two different outcomes.

You are absent from generated answers

Google integrates Gemini into search through AI Overviews. Large numbers of users see a generated answer rather than the classic results - and your company is not in it.

Competitors appear in AI Overviews

AI Overviews can present an answer above the classic results, so it is worth measuring separately which brands and sources surface in that format.

Gemini spans the Google ecosystem

Gemini appears across many Google surfaces. How much that matters for a given company still depends on its category and how its buyers behave.

How we work

Three steps to visibility in Gemini

01

Baseline and measurement scope

We agree the category, market and buyer questions. We record complete Gemini and AI Overviews answers together with the measurement context and coding rules.

02

Content and signal work

We implement citable content, structured data and credible sources. Every recommendation traces back to a gap identified in the audit.

03

Monitoring and development

We repeat the measurement on the agreed question set, document what changed and choose the next experiment - or stop.

What we assess

What the Gemini visibility measurement covers

  • An agreed set of buyer questions for a single category
  • An analysis of which brands Gemini recommends instead of yours
  • A benchmark of the brands that genuinely appear in answers
  • Specific recommendations - what to change so the brand can appear

Why it is different

AI Overviews and Gemini need separate measurement

Both surfaces draw on Google's index, so strong SEO helps - but the selection criteria differ from the classic ranking algorithm. We record each surface separately, with its date and measurement conditions.

Conclusions rest on recorded answers, cited sources and explicit measurement conditions.

FAQ

Questions about visibility in Gemini

It means building a brand's presence in answers generated by Gemini and in the AI Overviews shown in Google Search. The objective is for Gemini to name your company as a recommendation, or to cite your content in its answers.

AI Overviews are generated answers that can appear above the classic Google results. Brand presence and the sources cited must be measured separately from organic position, because they are different answer formats.

The category-fit assessment is free. An AI Visibility Snapshot is PLN 1,500-2,900 net, a strategic audit PLN 2,900-4,900 net, an AI Recommendation Sprint PLN 8,900-19,900 net, and continuous monitoring PLN 2,900-7,900 net per month.

There is no universal timeline. Pace depends on indexing, the sources a model can reach, the scope of the changes and model updates. We agree the date of the next measurement wave after the audit and implementation rather than promising a result in a fixed number of weeks.

No - the two complement each other. Gemini and AI Overviews often draw on Google's index, so good SEO helps. But SEO alone is not enough: AI systems select content against different criteria from the classic ranking algorithm. You need both.

Start with a few buyer questions in one category and record the complete answers, the date, the market and the question variant. Professional measurement then widens the set once the hypothesis and the coding rules are agreed.

Next step

Find out whether Gemini recommends your company

Start with a free category-fit assessment. Full measurement and benchmarking are delivered through a Snapshot or a strategic audit.

0 PLN · Fit assessment, without a promise of a full report

Review engagement stages