AI VISIBILITYREPORT GROUP
AI Visibility Audit · GEO Audit

An AI Visibility baseline must measure more than just: “am I mentioned?”

A good AI Visibility Audit or GEO Audit examines step by step whether ChatGPT, Gemini and other AI systems first find your organisation, then use it as a source, then name it and finally recommend it as well. That is the difference between a superficial prompt check and a usable baseline measurement.

One-time · no mandatory subscription · for businesses and online stores

1

Retrieval

Does your website or page end up in the possible source or candidate set at all?

2

Citation

Does the AI system actually use your website as a source for the answer?

3

Mention

Is your brand, business or product mentioned spontaneously on a relevant question?

4

Recommendation

Are you also recommended as a relevant choice — and how does that compare with competitors?

What makes a baseline reliable

Not putting your brand in the question, but testing whether AI selects you on its own.

A branded question such as “what do you know about mycompany.com?” mainly says whether an AI system can find information about that brand. For commercial AI Visibility it is the unbranded question that matters: who does AI select when a potential customer has not yet chosen a provider?

That is why we combine different question types, technical signals, brand clarity and — where relevant — Shopping AI. AI results can fluctuate; a score is therefore a standardised indicator, not a universal ranking.

  • Branded and unbranded search and buying scenarios
  • AI Search, GEO and AEO signals in one coherent analysis
  • Brand and entity clarity
  • Crawlability and technical AI readiness
  • Structured data and machine-readable information
  • Competition and recommendation gaps
  • Product data and AI Shopping for online stores
  • Concrete priorities instead of just a score
Businesses & online stores

The question behind the audit differs by type of organisation.

For businesses

Does AI understand who you are, what you offer and which customer question you are relevant for? We look among other things at brand clarity, expertise, external confirmation, citations and the competitors that appear on the same question.

For online stores

Alongside brand visibility, product understanding counts: product name, brand, price, stock, GTIN/EAN, variants, Product/Offer data, feeds and the likelihood that AI can compare and recommend products.

See AI Shopping Intelligence →
GEO

Generative Engine Optimization

Optimisation to make information clear, reliable and selectable for generative AI systems.

AEO

Answer Engine Optimization

Optimisation to answer questions directly and in a machine-understandable way, with clear facts, structure and entities.

AI Visibility

What actually becomes visible?

The outcome side: is your organisation found, cited, named and recommended on relevant questions?

Come across a difficult term?

In AI Explained we explain the key terms without technical jargon — from citation and entity to structured data, product feed and agentic commerce.

Open AI Explained
Frequently asked questions

Short and clear

What is an AI Visibility Audit?

A baseline measurement that examines whether AI systems find your business or products, use them as a source, name them and recommend them on relevant questions.

Why are blind prompts important?

Because your brand is then not given to the AI system beforehand. That shows more clearly whether your organisation is selected as a candidate on its own.

Is one AI answer enough?

No. AI answers can vary. That is why a fixed methodology with several relevant scenarios is more useful than a single loose prompt.

Can an audit guarantee a recommendation?

No. ChatGPT, Gemini and other external AI systems determine their own results. An audit does make visible which signals and gaps influence your chance of selection.