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Original Backlnk research: we evaluated 25 crawler tokens against the robots.txt answers of 5,996 reachable top-10,000 sites to see who blocks AI training, AI search and user fetchers.
by Bryce DalyOur latest step-by-step guides.
AI companies run separate bots for training, AI search and user requests. Here are the documented tokens, how robots.txt matching works and copy-ready configurations.
Which og: and twitter: tags each platform reads, the share image sizes they document, how previews are cached and how to fix the most common preview problems.
by Emily ParkerEverything an image needs to be found, understood and fast: img markup, alt text, file names, formats, responsive sizes, dimensions and lazy loading done right.
by Emily ParkerOrphan pages get no internal links, so visitors and crawlers struggle to reach them. Here is how to find them reliably and decide what each one deserves.
by Emily ParkerHow to work out what a searcher wants, give every page one clear job, map queries to pages without cannibalization, and align title, headings, sections and calls to action.
by Jordan LeeWhich heading rules are documented and which are myths, how to nest H1–H3 for readers, screen readers and Google, and a step-by-step way to audit and fix a page outline.
by Jordan LeeLCP, INP and CLS in plain English: what each measures, the thresholds Google uses at the 75th percentile, why lab and field numbers differ and what to fix first.
by Bryce DalyMissing return links, invalid codes, redirecting alternates and canonical conflicts: how Google reads hreflang and how to find and fix every common error.
