LLMaoLLMao

    AI search visibility report ยท 2026-10-26

    How AI assistants see sansar.com

    sansar.com has an AI visibility score of 49/100. 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 sansar.com

    Readability60/100

    Result: average. 2 of 4 tests passed.

    Reading ease is acceptable, but sentence length is significantly too high for LLM optimization.

    Schema.org Markup0/100

    Result: weak. 0 of 5 tests passed.

    Total absence of JSON-LD schema markup.

    Authority & Trust Signals40/100

    Result: weak. 1 of 5 tests passed.

    Trust pages are present, but specific author credentials and contact details are missing.

    Citation & Source Quality67/100

    Result: average. 2 of 4 tests passed.

    Inline citations are present via event links, but authoritative outbound links are absent.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    No machine-readable publication or modification dates are present.

    Content Structure76/100

    Result: average. 3 of 4 tests passed.

    Excellent heading hierarchy, but paragraph structure is too brief for deep context.

    Entity Definition63/100

    Result: average. 2 of 4 tests passed.

    About page exists, but lack of schema and author identification weakens entity clarity.

    Technical Accessibility95/100

    Result: strong. 4 of 4 tests passed.

    Strong technical foundation with AI crawler access and social meta tags.

    How sansar.com can improve its AI visibility

    • Implement JSON-LD Schema Markup (high priority)
    • Define Author Entities and Credentials (high priority)
    • Surface Content Update Signals (medium priority)
    • Reduce Sentence Length for Clarity (medium priority)
    • Complete Contact Information Details (medium priority)

    How sansar.com compares to its competitors