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    AI search visibility report · 2026-10-19

    How AI assistants see futurelearn.com

    futurelearn.com has an AI visibility score of 45/100. The site passed 14 of 34 tests. Its strongest areas are Technical Accessibility and Content Structure. The areas to improve are Content Freshness and Schema.org Markup.

    How ChatGPT, Claude and Perplexity read futurelearn.com

    Readability30/100

    Result: weak. 0 of 4 tests passed.

    Extremely low readability scores due to very long sentence structures.

    Schema.org Markup0/100

    Result: weak. 0 of 5 tests passed.

    No JSON-LD schema markup was detected on the page.

    Authority & Trust Signals44/100

    Result: weak. 1 of 5 tests passed.

    Trust pages are excellent, but contact information and publication dates are missing.

    Citation & Source Quality74/100

    Result: average. 3 of 4 tests passed.

    Good use of inline links, but lacks links to high-authority external domains.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    No dates or update signals were found in the content or metadata.

    Content Structure78/100

    Result: average. 4 of 4 tests passed.

    Strong semantic HTML and paragraph structure, though heading hierarchy has minor issues.

    Entity Definition43/100

    Result: weak. 2 of 4 tests passed.

    About page exists, but lacks Organization and Person schema for authors.

    Technical Accessibility100/100

    Result: strong. 4 of 4 tests passed.

    Excellent technical setup with full AI crawler access and social meta tags.

    How futurelearn.com can improve its AI visibility

    • Add JSON-LD Schema Markup (high priority)
    • Implement Content Update Signals (high priority)
    • Improve Sentence Structure and Clarity (medium priority)
    • Enhance Trust and Contact Information (medium priority)
    • Correct Heading Hierarchy (low priority)

    How futurelearn.com compares to its competitors