LLMaoLLMao

    AI search visibility report · 2026-06-07

    How AI assistants see asphaltinstitute.org

    asphaltinstitute.org has an AI visibility score of 63/100. The site passed 21 of 34 tests. Its strongest areas are Technical Accessibility and Schema.org Markup. The areas to improve are Readability and Content Freshness.

    How ChatGPT, Claude and Perplexity read asphaltinstitute.org

    Readability45/100

    Result: weak. 2 of 4 tests passed.

    Extremely low Flesch Reading Ease score (9.3) indicates content is likely too dense or academic for general LLM summarization.

    Schema.org Markup74/100

    Result: average. 4 of 5 tests passed.

    JSON-LD is present and valid, but limited to a basic Organization type. Missing rich content schemas.

    Authority & Trust Signals58/100

    Result: weak. 3 of 5 tests passed.

    Strong trust pages and recent modification dates, but lacks direct contact details and structured author credentials.

    Citation & Source Quality65/100

    Result: average. 3 of 4 tests passed.

    Good use of internal and some external links, but lacks citations to high-authority .gov or .edu primary research sources.

    Content Freshness50/100

    Result: weak. 2 of 4 tests passed.

    Content is modified recently (April 2026), though explicit publication dates and changelogs are missing.

    Content Structure54/100

    Result: weak. 1 of 4 tests passed.

    Poor heading hierarchy (16 H1s) and lack of section elements hinder LLM parsing of topical priority.

    Entity Definition65/100

    Result: average. 2 of 4 tests passed.

    Strong About page and brand consistency, but fails to define staff/authors as structured entities.

    Technical Accessibility95/100

    Result: strong. 4 of 4 tests passed.

    Excellent technical setup with full AI crawler access and strong social metadata.

    How asphaltinstitute.org can improve its AI visibility

    • Fix Heading Hierarchy (high priority)
    • Implement Content-Specific Schema (high priority)
    • Add Author/Staff Person Schema (medium priority)
    • Improve Semantic HTML Segmentation (medium priority)
    • Enhance NAP (Name, Address, Phone) Data (low priority)

    How asphaltinstitute.org compares to its competitors