AI search visibility: distinguish brand mentions, citations and clicks
A practical guide to separating brand mentions, citations and clicks in AI search, with a dated sampling protocol, tool variability checks and a diagnostic worksheet.
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Llms.txt and Google AI features: what the documentation actually requires
Google Search ignores llms.txt. Separate its documentary role from AI feature eligibility and access controls before deciding what to change on your site.
Read articleNosnippet and data-nosnippet: control previews without blocking a page
How nosnippet, data-nosnippet, max-snippet and X-Robots-Tag control search previews without blocking a page — plus a diagnostic for AI features and recrawl timing.
Read articleGoogle Discover traffic drops: why rankings are not the right diagnosis
Discover traffic is serendipitous, not ranking-driven. Learn why a drop is not a ranking problem, and use a diagnostic worksheet to isolate the real cause.
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Article dates and updates: show real changes rather than artificial freshness
How to handle article published and modified dates honestly: what Article structured data supports, how to log substantive changes, and why resetting dates backfires.
Read articleEcommerce INP: investigate slow filters and add-to-cart interactions
A field-lab method for diagnosing slow ecommerce INP on filters and add-to-cart, using 75th-percentile mobile data and targeted lab reproduction.
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