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    AI search visibility report · 2026-11-06

    How AI assistants see cerebras.net

    cerebras.net has an AI visibility score of 50/100. The site passed 19 of 34 tests. Its strongest areas are Technical Accessibility and Citation & Source Quality. The areas to improve are Content Freshness and Schema.org Markup.

    How ChatGPT, Claude and Perplexity read cerebras.net

    Readability70/100

    Result: average. 4 of 4 tests passed.

    Content is technical but clear; sentence length is slightly above the ideal range.

    Schema.org Markup0/100

    Result: weak. 0 of 5 tests passed.

    Complete absence of JSON-LD schema markup.

    Authority & Trust Signals54/100

    Result: weak. 3 of 5 tests passed.

    Strong trust pages and contact info, but lacks structured author credentials and publication dates.

    Citation & Source Quality74/100

    Result: average. 3 of 4 tests passed.

    Good use of internal/case study links, but lacks citations to authoritative external domains.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    No detectable dates or update signals in the code or visible text.

    Content Structure69/100

    Result: average. 4 of 4 tests passed.

    Good use of semantic HTML and sections, though heading hierarchy has minor skips.

    Entity Definition58/100

    Result: weak. 2 of 4 tests passed.

    Clear brand consistency and About page, but lacks structured author data.

    Technical Accessibility85/100

    Result: strong. 3 of 4 tests passed.

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

    How cerebras.net can improve its AI visibility

    • Implement Core JSON-LD Schema (high priority)
    • Add Visible Publication Dates (high priority)
    • Enhance Author Identification (medium priority)
    • Optimize Meta Description Length (medium priority)
    • Cite Authoritative Third-Party Data (medium priority)

    How cerebras.net compares to its competitors