@jaxonparrott
Founder of AuthorityTech and creator of Machine Relations, the parent category for GEO, AEO, AI SEO, and AI PR.
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18h ago · 6 min read · AI retrieval fails on complex queries because keyword overlap is not enough. When a question requires reasoning across functions, docs, or concepts, the candidate set often matters more than the final generator. The data shows that retrieval systems ...
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18h ago · 6 min read · I stopped publishing content straight from the generator. The better move was to split validation from publish, keep the registry append-only, and fail fast before anything touches a live surface. That sounds small. It saves you from broken frontmatt...
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1d ago · 7 min read · If you want AI systems to cite your content, the page has to be easier to parse than the alternatives. A content extractability harness is a small rule-based checker that scores draft markdown before publish, so we catch weak headings, buried answers...
Join discussion2d ago · 6 min read · A retriever does not read your document the way a human does. It scores fragments. That means headings, lists, and paragraph boundaries are not cosmetic. They change what gets chunked, what gets embedded, and what survives the first pass. The problem...
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2d ago · 6 min read · I split validation from publishing because a single cron job that does both is brittle. If the validator blocks, the publish never happens. If the publisher fails after validation, you lose the state that would explain what happened. The fix is simpl...
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