LLMaoLLMao

    AI search visibility report · 2026-10-27

    How AI assistants see rand.org

    rand.org has an AI visibility score of 62/100. The site passed 18 of 34 tests. Its strongest areas are Citation & Source Quality and Technical Accessibility. The areas to improve are Content Freshness and Readability.

    How ChatGPT, Claude and Perplexity read rand.org

    Readability40/100

    Result: weak. 0 of 4 tests passed.

    Content is highly complex with very long sentences, making it difficult for LLM parsing.

    Schema.org Markup74/100

    Result: average. 4 of 5 tests passed.

    Core schemas are valid, but specific content schemas for research are absent.

    Authority & Trust Signals46/100

    Result: weak. 2 of 5 tests passed.

    Strong organizational trust but lacks granular publication and author metadata.

    Citation & Source Quality100/100

    Result: strong. 4 of 4 tests passed.

    Excellent use of authoritative outbound links and inline citations.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    Visible dates are current (2026), but technical signals for crawlers are missing.

    Content Structure79/100

    Result: average. 3 of 4 tests passed.

    Excellent heading hierarchy and semantic HTML, but paragraph structure is poor.

    Entity Definition65/100

    Result: average. 2 of 4 tests passed.

    Strong organizational identity, but lacks structured author identification.

    Technical Accessibility85/100

    Result: strong. 3 of 4 tests passed.

    Excellent crawler access and JS independence, but meta description is too long.

    How rand.org can improve its AI visibility

    • Implement Schema Date Properties (high priority)
    • Simplify Sentence Structure (high priority)
    • Expand Content-Specific Schema (medium priority)
    • Improve Paragraph Density (medium priority)
    • Optimize Meta Description Length (low priority)

    How rand.org compares to its competitors