E12 · GEO / LLM Readiness

    Author & E-E-A-T Checker — is your authorship clear to engines?

    AI engines, like cautious editors, prefer to cite sources they can trust — and clear authorship is the most actionable trust signal. This check looks at whether your page declares its author with structured data and a visible byline, ideally with credentials. E-E-A-T — Experience, Expertise, Authoritativeness and Trust — is how engines judge whether to rely on content, and anonymous pages compete from behind.
    Updated June 2026 · Technical SEO & GEO · Part of GEO / LLM Readiness

    Check your authorship & E-E-A-T signals

    Paste a URL — GEObubbly checks whether your page declares a clear author with schema and a visible byline, the trust signals search and AI engines weigh.

    ✓ Free check✓ 1 signal✓ No signup required
    In short: Declare authorship — an author with schema and a visible byline, ideally with credentials. Both Google and AI engines weigh Experience, Expertise, Authoritativeness and Trust.

    What does the author / E-E-A-T check look for?

    It looks for clear signals of who is behind the content and why they're qualified. Specifically:

    • Author schema — an author in Article schema linking to a Person entity (ideally with their own sameAs profiles).
    • A visible byline — a named author shown on the page, not anonymous content.
    • Credentials / bio — a short bio or credentials establishing the author's expertise.

    Clear attribution with schema plus a visible byline passes; a byline only, with no schema or credentials, is a warning; no authorship signal at all is a fail.

    How is it evaluated, and how is it scored?

    GEObubbly looks for author schema or meta, a visible byline, and any credentials or bio that establish expertise. It's a core GEO / LLM Readiness check worth 2 points, because authorship is the most actionable piece of E-E-A-T — the trust framework both search and AI engines use to decide which sources to rely on.

    Why authorship and E-E-A-T matter for GEO

    E-E-A-T — Experience, Expertise, Authoritativeness and Trust — is how engines judge whether to trust content, and it's especially decisive for sensitive, commercial and advisory topics. Clear authorship is the most actionable piece: a named author with a visible byline, ideally with credentials or a bio establishing why they're qualified. Reinforce it with structured data — an author in Article schema linking to a Person entity, with that person's own sameAs profiles — which connects the content to a real, identifiable expert that engines can resolve and trust. Anonymous content competes from behind: AI engines, like cautious editors, prefer to cite sources with visible, credible authorship over a page with no one standing behind it. This pairs with cited sources and clear entities to build the trust layer of GEO / LLM Readiness — the signals that decide whether an engine considers you a credible source worth quoting.

    How this check scores
    Pass: Clear attribution: author schema plus a visible byline (ideally credentials).
    Warning: A byline only, with no schema or credentials.
    Fail: No authorship signal at all.

    FAQ

    E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust — the framework engines use to judge whether content is reliable, especially on sensitive, commercial or advisory topics. It matters for AI because answer engines, like careful editors, prefer to cite sources they can trust, and E-E-A-T signals tell them whether a page is backed by real expertise and credibility. Clear authorship, credentials, accurate sourcing and a trustworthy site all contribute. Pages that demonstrate E-E-A-T are more likely to be both ranked and cited.

    Related checks in GEO / LLM Readiness

    E9
    Quotes & citation of sources
    E11
    Freshness / machine-readable dates
    E13
    Entity clarity & consistency

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