Resource pages for buyers, not blog filler.

These pages explain the commercial jobs behind AI search work: audits, GEO, llms.txt, schema, citation tracking, and Search Lab reporting. The aim is simple: help buyers understand the work before they book an audit.

The guides, in the order they appear above.

Check discovery, buyer proof and the enquiry path. A self-guided checklist with no signup or website scan.

UK buyers searching for the top AI search experts now face three options: hire an AI search specialist, buy a GEO or citation tracking tool, or ask a traditional SEO agency to extend its work. The right choice depends on evidence quality, not the label on the service.

AI search visibility is measured by prompt-level evidence, not by a vague score. The clean version records what buyers ask, which tools answer, which brands are cited, which brands are absent, and what cannot be measured yet.

When organic traffic drops to nothing, the wrong first move is guessing. The right first move is to separate tracking failure, indexing failure, demand failure, content failure, and AI-answer displacement.

The setup is not five separate tricks. It is one clear system: make the site crawlable, make the offer understandable, make the answers easy to extract, make the entity consistent, and measure what happens.

Proof archive

The public notes archive records dated tests, limits, and evidence. If a resource page makes the argument, the note shows the method behind it.