Make your expertise easier for search systems to trust and cite.

From ranking pages to referencing sources

Traditional search asks which pages should appear. AI Search also has to decide which sources are clear, credible, relevant, and safe enough to reference while composing an answer.

The underlying work is not a shortcut around SEO. It combines technical accessibility, strong information architecture, clear entities, useful passages, source credibility, and content that can stand on its own when extracted from the page.

Make the source easier to understand

A modern search system should be able to identify who published the information, what the page is about, which claims it makes, how those claims are supported, and how the page relates to the rest of the site.

I review entity naming, author and organization signals, structured data, headings, definitions, answer passages, internal links, citations, and the consistency of important facts across the website.

• Entity and source clarity
• Answer-focused information structure
• Appropriate structured data
• Authorship, evidence, and update signals
• AI crawler accessibility and technical controls

Citation readiness without guarantees

No consultant controls whether ChatGPT, Gemini, Perplexity, Google AI Overviews, or another system cites a particular page. Platforms choose their own sources and change their systems frequently.

The responsible goal is to improve the qualities that make a website useful as a source: clarity, specificity, accessibility, authority, freshness, and evidence.

Google and AI Search are connected

The strongest work benefits both environments. Better architecture helps crawlers and retrieval systems. Clearer passages help users and answer engines. Strong topical coverage improves relevance. Credible authorship and external support strengthen trust.

GEO should therefore sit inside the wider search strategy, not become a separate collection of buzzwords or platform-specific promises.