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    AI search visibility report · 2026-10-18

    How AI assistants see arthur.ai

    arthur.ai has an AI visibility score of 44/100. 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 arthur.ai

    Readability50/100

    Result: weak. 1 of 4 tests passed.

    Sentence length is acceptable, but the reading ease score is too low for general clarity.

    Schema.org Markup0/100

    Result: weak. 0 of 5 tests passed.

    No JSON-LD or structured data found on the page.

    Authority & Trust Signals36/100

    Result: weak. 2 of 5 tests passed.

    Trust pages are present, but contact details and publication dates are missing.

    Citation & Source Quality74/100

    Result: average. 3 of 4 tests passed.

    Inline citations are used well, but links to high-authority external domains are lacking.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    No visible or machine-readable dates were found on the page.

    Content Structure80/100

    Result: strong. 4 of 4 tests passed.

    Excellent heading hierarchy and semantic HTML usage. Paragraphs are concise.

    Entity Definition35/100

    Result: weak. 1 of 4 tests passed.

    Lacks a dedicated about page and structured author identification.

    Technical Accessibility89/100

    Result: strong. 3 of 4 tests passed.

    Excellent crawler access and JS independence, but social meta is incomplete.

    How arthur.ai can improve its AI visibility

    • Implement Core JSON-LD Schema (high priority)
    • Enhance Contact Information Transparency (high priority)
    • Add Visible Publication and Update Dates (medium priority)
    • Improve Content Readability Score (medium priority)
    • Complete Social Meta Tags (low priority)

    How arthur.ai compares to its competitors