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    AI search visibility report ยท 2026-05-14

    How AI assistants see quick.fr

    quick.fr has an AI visibility score of 53/100. The site passed 18 of 34 tests. Its strongest areas are Readability and Content Structure. The areas to improve are Schema.org Markup and Content Freshness.

    How ChatGPT, Claude and Perplexity read quick.fr

    Readability80/100

    Result: strong. 4 of 4 tests passed.

    Content is clear and accessible, though slightly marketing-heavy.

    Schema.org Markup0/100

    Result: weak. 0 of 5 tests passed.

    No JSON-LD structured data blocks were found in the analyzed HTML.

    Authority & Trust Signals55/100

    Result: weak. 3 of 5 tests passed.

    Basic trust pages and contact info are present, but author credentials and specific publication dates are missing.

    Citation & Source Quality20/100

    Result: weak. 1 of 4 tests passed.

    Lacks external citations or primary source data attribution beyond internal links.

    Content Freshness10/100

    Result: weak. 0 of 4 tests passed.

    No specific publication or modification dates found in the HTML or metadata.

    Content Structure75/100

    Result: average. 4 of 4 tests passed.

    Good use of H2 tags and semantic navigation, though hierarchy could be tighter.

    Entity Definition60/100

    Result: average. 2 of 4 tests passed.

    Brand consistency is strong, but lacks a dedicated About page and Person schemas for leadership.

    Technical Accessibility70/100

    Result: average. 4 of 4 tests passed.

    Good meta descriptions and social tags, but high dependency on JS for map/location features.

    How quick.fr can improve its AI visibility

    • Add Structured Data for Restaurants and Menus (high priority)
    • Strengthen Brand Entity Definition (high priority)
    • Enhance Author Transparency (medium priority)
    • Implement Visible Date Stamps (medium priority)
    • Reduce JavaScript Dependency for Core Content (low priority)

    How quick.fr compares to its competitors