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    AI search visibility report · 2026-10-27

    How AI assistants see abfnet.org

    abfnet.org has an AI visibility score of 36/100. The site passed 10 of 34 tests. Its strongest areas are Citation & Source Quality and Content Structure. The areas to improve are Content Freshness and Schema.org Markup.

    How ChatGPT, Claude and Perplexity read abfnet.org

    Readability30/100

    Result: weak. 0 of 4 tests passed.

    The content is very difficult to read with extremely long sentences and a low Flesch score.

    Schema.org Markup0/100

    Result: weak. 0 of 5 tests passed.

    No JSON-LD or structured data was detected on the page.

    Authority & Trust Signals30/100

    Result: weak. 1 of 5 tests passed.

    The site provides contact info but lacks critical trust pages and structured author credentials.

    Citation & Source Quality74/100

    Result: average. 3 of 4 tests passed.

    Good use of inline links for claims, but lacks links to high-authority academic or government domains.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    No machine-readable or visible dates were found to verify the recency of the content.

    Content Structure65/100

    Result: average. 2 of 4 tests passed.

    Paragraphs are well-structured, but the heading hierarchy is broken with multiple H1s and skipped levels.

    Entity Definition43/100

    Result: weak. 2 of 4 tests passed.

    The About page is present, but the lack of Organization and Person schema hinders entity clarity.

    Technical Accessibility50/100

    Result: weak. 2 of 4 tests passed.

    AI crawlers are allowed and content is accessible without JS, but social and meta tags are missing.

    How abfnet.org can improve its AI visibility

    • Implement Core JSON-LD Schema (high priority)
    • Add Meta Description (high priority)
    • Repair Heading Hierarchy (medium priority)
    • Add Legal Trust Pages (medium priority)
    • Display Content Dates (medium priority)

    How abfnet.org compares to its competitors