AI search visibility, measured against a defined method.

The stance

We do not sell AEO, GEO, or LLM optimization as a separate discipline.

For Google AI Overviews and AI Mode, Google says the same foundational SEO practices continue to apply: no ideal page length, no required chunking, no special AI schema, no AI-specific writing style, no llms.txt requirement. Other systems — ChatGPT, Perplexity, Claude — are measured separately rather than assumed to behave the same way.

Original, expert content that is easy to parse remains central. Where a claim about a specific system depends on that system's documented behavior, the report cites the documentation and the date.

How the visibility review works

• • A defined query set is developed with the client — the queries you would want prospects to ask a model. Queries are agreed in writing before measurement starts.
• • Each run records the product surface (ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude), the disclosed model or version where available, account state (logged-in or anonymous), location, date, and repeat protocol.
• • Three outcomes are counted separately: whether the model cites the client's owned source, whether it mentions the client's brand without a citation, and whether it recommends the client as an option.
• • Which competitors are being cited or recommended in place of the client.
• • Referral traffic tracked separately: which AI surfaces are sending humans to the site, and how those visitors convert.

What we do to improve it

• • Consistent entity signals: Organization and Person schema, accurate sameAs profiles, consistent name/description/URL across the sources search and AI systems discover.
• • Earned third-party coverage that establishes a consistent association between the organization, its people, and its field across sources that models can discover.
• • Original expert content on the pages the client controls — treated as a normal SEO deliverable, not a special "AI content" workflow.
• • Semantic HTML and sequential heading structure where it improves human readability and accessibility. Not presented as a proven AI-ranking factor.