AI search visibility - be present where buyers now start their research
Buyers ask AI systems which suppliers to consider long before they open a website. We measure where a brand stands across the models that matter in its category, then build the evidence those models need.
AI systems in scope
Category to start with
Answers recorded
The landscape
The AI systems buyers actually use
Which of them matter depends on the category and the market - we do not assume equal weight.
ChatGPT
The most widely used assistant. B2B decision-makers ask it for supplier recommendations, service comparisons and opinions about companies.
Perplexity
An AI search engine that cites its sources. Popular with people looking for business information they can verify.
Google Gemini and AI Overviews
Google's models sit across the search ecosystem. Our measurement separates Gemini answers from AI Overviews, because they behave differently.
Claude
Known for careful, well-sourced reasoning and increasingly used by professionals to verify business information.
Comparison
SEO vs AI visibility
Qualification
When AI visibility work makes sense
The work pays off where an AI answer can realistically shape a shortlist.
When this makes sense
- You sell a service, product or expertise a B2B buyer might compare through an AI system.
- You already have a website and want to build visibility across ChatGPT, Perplexity, Gemini and Claude in parallel.
- You want to measure Share of Model, not only conventional Google positions.
- You can develop content, structured data, author profiles and third-party mentions over several months.
When it is too early to start
- Your positioning and target audience are not yet defined.
- You expect a one-off technical trick to replace content, authority and distribution.
- You cannot publish examples, results, methodology or concrete answers to customer questions.
- You only need a conventional SEO audit without any analysis of AI systems.
FAQ
Questions about AI search visibility
SEO optimises a site for Google's algorithm - links, keywords, PageRank. AI visibility work builds presence in the answers produced by ChatGPT, Perplexity and Gemini, where citability, third-party mentions and structured data carry the weight. They are complementary channels, not substitutes.
It depends on the category, the market and how buyers behave. Most engagements cover ChatGPT, Perplexity, Gemini and Claude, but we do not assume each model carries the same weight in a purchase decision.
One core metric is Share of Model - the proportion of answers in an agreed set that mention the brand. We also record the context of each mention, the recommendation itself, the sources cited, the complete answer and the version of the method used.
Share of Model is the share of answers in which the brand appeared, across the full agreed set of answers. The number is meaningful only alongside the question set, the market, the date, the model and the coding rules. We do not apply a universal target to every category.
Yes, where the company has a clearly described specialisation, evidence of expertise and content that answers specific buyer questions. Brand size is not the only signal - though publishing content alone never guarantees a recommendation.
Start with a free category-fit assessment. If measurement makes sense, the next step is an AI Visibility Snapshot or a strategic audit, followed by an implementation sprint and monitoring.
Find out where your brand stands in AI answers
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