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    AI search visibility report · 2026-10-18

    How AI assistants see tracxn.com

    tracxn.com has an AI visibility score of 55/100. The site passed 15 of 34 tests. Its strongest areas are Entity Definition and Technical Accessibility. The areas to improve are Content Freshness and Authority & Trust Signals.

    How ChatGPT, Claude and Perplexity read tracxn.com

    Readability40/100

    Result: weak. 0 of 4 tests passed.

    Extremely long sentences and low readability scores hinder automated processing.

    Schema.org Markup74/100

    Result: average. 4 of 5 tests passed.

    Valid core schema present but lacks specific content-level markup for reports or products.

    Authority & Trust Signals30/100

    Result: weak. 1 of 5 tests passed.

    Strong contact signals but lacks trust pages and verifiable author credentials.

    Citation & Source Quality74/100

    Result: average. 2 of 4 tests passed.

    Good use of internal data links but lacks external authoritative citations.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    Visible dates exist in text but are not semantically marked for crawlers.

    Content Structure64/100

    Result: average. 3 of 4 tests passed.

    Good semantic tag usage but hierarchy has skipped levels and paragraph flow is poor.

    Entity Definition75/100

    Result: average. 2 of 4 tests passed.

    Strong organization definition but lacks individual author identification.

    Technical Accessibility75/100

    Result: average. 3 of 4 tests passed.

    Blocks major AI crawlers despite having good social meta and JS-independent content.

    How tracxn.com can improve its AI visibility

    • Allow AI Crawler Access (high priority)
    • Add Trust Pages (high priority)
    • Implement Date Schema (medium priority)
    • Define Author Entities (medium priority)
    • Improve Sentence Structure (medium priority)

    How tracxn.com compares to its competitors