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Authorship Signals Checker

Score the machine-visible provenance signals: author, dates, sources, contact.

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TOOL AUTHORSHIP-S

What this tool does

About the authorship signals checker

Paste page HTML for an eight-check review of who is claiming the content — the trust signals engines and AI systems can actually parse.

How to use it

  1. Paste the page HTML.
  2. Read the eight checks: author signals, byline, dates, cited sources, entity links, credentials, contact, review markers.
  3. Fix the fails that are true — these signals must describe reality.
  4. Re-run; the score only means something because every check is verifiable.

Useful for

  • Audit the trust signals on money and health pages where they weigh most.
  • Make authorship machine-readable, not just a styled byline.
  • Check a guest post or supplier page before it goes live under your name.

Straight answers

Authorship Signals Checker FAQ

Is this the same as Google’s E-E-A-T?

It measures the machine-visible substrate of it: E-E-A-T is a rater concept, not a parser, but authors, dates, sources and contact routes are what both raters and ranking systems can actually observe. No tool scores “trust” honestly; this one scores its evidence.

Can I just add credential language everywhere?

The checker will pass it and the internet will check it. Unverifiable expertise claims are worse than none — the signal that helps is a real name, linked to a real entity, dated, citing real sources.