How to match a traffic drop to a Google update
A measured way to compare lost visibility with the timing and shape of a search update.
Writing
RSSEssays on this site
What to check first when AI answers skip your brand
A practical first pass through entities, evidence and retrieval when your brand is absent from answers.
Why a recovery audit starts in Search Console, not a crawler
Why observed search losses should define the crawl, not the other way around.
Selected writing elsewhere
Recovering visibility after a broad search shift
A sample note on diagnosing broad ranking losses without jumping to conclusions.
What answer engines need before they can cite a brand
A sample exploration of clear entities, useful evidence and attributable sources.
Separating technical debt from a core update loss
A sample framework for prioritising issues that can explain the observed decline.
Building pages that remain useful inside AI answers
A sample essay about concise evidence, context and human-readable structure.
A calmer method for investigating organic traffic drops
A sample process for moving from a falling chart to testable causes.
Guides
A field guide to the first 24 hours of a traffic drop
A sample checklist for preserving context and scoping the investigation.