LLMaoLLMao

    AI search visibility report · 2026-10-22

    How AI assistants see ariel.ai

    ariel.ai has an AI visibility score of 38/100. The site passed 10 of 34 tests. Its strongest areas are Technical Accessibility and Schema.org Markup. The areas to improve are Content Freshness and Authority & Trust Signals.

    How ChatGPT, Claude and Perplexity read ariel.ai

    Readability40/100

    Result: weak. 1 of 4 tests passed.

    The Flesch-Kincaid score is extremely low due to the form-heavy nature of the page.

    Schema.org Markup74/100

    Result: average. 4 of 5 tests passed.

    While JSON-LD is present and valid, it lacks core Organization and WebSite schemas.

    Authority & Trust Signals8/100

    Result: weak. 0 of 5 tests passed.

    The site lacks basic trust signals including contact details, trust pages, and publication dates.

    Citation & Source Quality40/100

    Result: weak. 0 of 4 tests passed.

    Outbound links are present but do not point to authoritative third-party sources.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    No publication or modification dates are present to indicate content recency.

    Content Structure51/100

    Result: weak. 2 of 4 tests passed.

    The site lacks an H1 tag and has a broken heading hierarchy with skipped levels.

    Entity Definition15/100

    Result: weak. 0 of 4 tests passed.

    The site fails to define the business entity or provide author information.

    Technical Accessibility75/100

    Result: average. 3 of 4 tests passed.

    Technical basics like meta descriptions and crawler access are good, but social meta is missing.

    How ariel.ai can improve its AI visibility

    • Establish Entity Identity (high priority)
    • Fix Heading Hierarchy (high priority)
    • Add Contact and Trust Pages (high priority)
    • Implement Core Schemas (medium priority)
    • Improve Content Readability (medium priority)

    How ariel.ai compares to its competitors