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GEO · AI visibility

AI visibility: get found in ChatGPT, Perplexity and Google AI Overviews

When your customers ask ChatGPT for a recommendation — do you get mentioned? Check your AI visibility below, and see how we work with GEO, AEO and classic SEO to make you the answer the engines give.

The result reflects the AI model's current knowledge and is indicative. It shows how your brand appears in AI answers right now.

Fill in the fields → see how AI rates your brand

How it works

  1. 1

    Enter your brand

    Type your brand name, industry and market — takes ten seconds.

  2. 2

    We ask the AI

    We ask the AI engine the questions your customers actually ask about recommendations.

  3. 3

    See your visibility

    Get a score, whether you're mentioned, and which competitors AI recommends instead.

GEO, AEO and SEO — it's one system

What is GEO and AI visibility?

GEO (Generative Engine Optimization) is the discipline that decides whether your brand gets mentioned when someone asks ChatGPT, Perplexity or Google AI Overviews for a recommendation. Where classic SEO was about ranking high on a list of blue links, AI visibility is about being the answer the engine generates.

AEO (Answer Engine Optimization) is the close cousin: becoming the cited answer inside an answer engine. In practice we don't separate them — we work GEO, AEO and SEO as one system, because the same signals decide whether you get found, cited and recommended.

SEO and AI are not opposites

A common misconception is that AI search makes SEO obsolete. The opposite is true — especially for Google AI Overviews, which cites almost exclusively from the organic top-10. Your classic ranking is still the entry ticket; GEO SEO isn't an alternative to SEO, it's SEO plus citability.

What changes is what you optimise for: self-contained, citable passages, clear entities and answer-first structure rather than raw keyword density. SEO for AI is about writing so a language model can lift your paragraph straight into its answer — with your brand as the named source.

The three engines you need to win

ChatGPT draws on both training data and web browsing, weighting authority, mentions and consistent brand signals across the web. Perplexity is a pure citation engine that fetches and cites sources in real time — technical accessibility and freshness matter most here.

Google AI Overviews is a Gemini layer on top of the results that cites almost only from the top-10. Winning here equals strong classic SEO combined with citable content. Each engine has its own logic — but entity clarity and trustworthy signals recur across all three.

How we build and measure your AI visibility

The tool above gives a snapshot of whether AI mentions you today. The real work is building the signals the engines trust: structured data and entity clarity, answer-first content, llms.txt and AI-crawler access, third-party mentions — and continuously measuring when and how you get cited.

That's what we do for our clients: make the brand the source AI picks. If your score is low, it's rarely random — it's missing signals, and those can be built.

Frequently asked questions

GEO is the work of making your brand visible and citable in AI answers from ChatGPT, Perplexity and Google AI Overviews. Where SEO optimises for positions on a results list, GEO optimises for becoming the answer the engine generates.

SEO is about ranking in the results, GEO about getting mentioned in generative AI answers, and AEO (Answer Engine Optimization) about being the cited answer inside an answer engine. In practice they're three layers of the same work — we build them together.

Google AI Overviews cites almost exclusively from the organic top-10, so it starts with strong classic SEO. On top of that you write self-contained, citable passages per sub-question and make your brand a clear, named entity Gemini can pull into the answer.

It measures whether an AI model mentions and recognises your brand when a buyer asks for a recommendation in your industry — and which competitors it recommends instead.

It's close. We use Claude — a leading AI model — and ask it realistic buying questions. The result reflects the model's knowledge and is indicative — not a guarantee for every single answer.

Usually because AI doesn't have enough clear, trustworthy signals about you yet. That's exactly what GEO (Generative Engine Optimization) solves — and what we help with.

Book a free analysis. We'll show you concretely what it takes for the AI engines to start recommending you.