Insights

Make your expertise discoverable in AI search

What search fundamentals can do for AI visibility—and what they cannot guarantee.

The key idea

Publish accessible, useful pages that answer specific questions and make their evidence clear. Google states that its AI search features require no special AI markup or additional optimisation.

Start with access and indexing

A useful page cannot support discovery if crawlers cannot reach it. Check access restrictions, indexing directives, canonical URLs and internal links. A private site remains private even if its robots.txt allows crawling. Search eligibility is not a guarantee of indexing.

Write answers that stand on their own

State the question, answer it directly and explain the scope. Use descriptive headings, concrete examples and visible sources. Keep important facts in server-rendered text rather than only in images. Identify illustrative examples and distinguish them from observed results.

Keep machine-readable data consistent

Organisation, service, article and breadcrumb data should match the visible page. Link equivalent translations with supported language annotations. An llms.txt file can provide convenient navigation, but it is neither a universal standard nor a promise of citation.

Measure observed discovery

Monitor relevant search impressions, clicks and qualified enquiries. Record AI mentions as observations with dates and context. OpenAI distinguishes its search crawler from its training crawler; search access and training preferences are separate controls. None of these measures can force an assistant to recommend a business.

Official sources

Google Search CentralOpenAI · Crawlers

Choose a useful next step

Understand how AI search finds sources, review your pages, then separate visibility observations from visits and enquiries. Use those findings to choose what to improve in your editorial workflow—not as a promise of citations.

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