searchDecoded library
Insights
Evidence-led analysis of technical SEO, AI search and the systems shaping modern information discovery.
Why is ChatGPT traffic showing as Direct in GA4?
ChatGPT's October tracking bug was addressed, but missing source data can still distort the story your reports tell about AI Search.
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Pages indexed but no impressions? Find the real gap
A practical guide to separating Search Console reporting limits, weak search demand and ranking problems when indexed pages get few or no impressions.
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Does Google Preferred Sources improve SEO?
A first-party investigation into what Google Preferred Sources changed for searchDecoded across ordinary results, AI Overviews, AI Mode and Top Stories.
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Does WebMCP help SEO or just help AI agents use websites?
A claims audit separating what WebMCP can currently do from unsupported promises about rankings, AI visibility and traffic.
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How long does SEO take to show results for your website?
A realistic explanation of how long SEO takes to work, why the timeline varies and how to recognise useful progress before enquiries grow.
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What to do when ChatGPT gets your business wrong
Why ChatGPT can get a business wrong, what four error types mean and when the problem warrants a specialist investigation instead of a quick edit.
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How to fix ‘Discovered – currently not indexed’
Find out why Google knows about a page but hasn't crawled it yet, which checks matter and when waiting is safer than making another change.
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What can Google Search Console’s AI report tell you?
A practical way to read Google’s new AI Search impression report without mistaking visibility for traffic, rankings or business value.
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Does schema markup help SEO?
A five-gate test for deciding whether structured data is likely to earn a useful search appearance and how to measure the result.
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