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    AI search visibility report · 2026-10-23

    How AI assistants see qualcomm.com

    qualcomm.com has an AI visibility score of 35/100. The site passed 9 of 34 tests. Its strongest areas are Technical Accessibility and Readability. The areas to improve are Content Freshness and Schema.org Markup.

    How ChatGPT, Claude and Perplexity read qualcomm.com

    Readability50/100

    Result: weak. 1 of 4 tests passed.

    Content is technical and dense, resulting in a low Flesch Reading Ease score.

    Schema.org Markup0/100

    Result: weak. 0 of 5 tests passed.

    Complete absence of JSON-LD or microdata. This is a major gap for LLM optimization.

    Authority & Trust Signals37/100

    Result: weak. 1 of 5 tests passed.

    Trust pages are excellent, but the lack of schema for authors and social proof limits trust signals.

    Citation & Source Quality48/100

    Result: weak. 0 of 4 tests passed.

    Low citation density. Most links are internal or lack authoritative external backing.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    Visible dates exist in text but are not machine-readable via schema or meta tags.

    Content Structure31/100

    Result: weak. 2 of 4 tests passed.

    The site uses semantic tags but lacks a heading hierarchy, which is critical for LLM parsing.

    Entity Definition33/100

    Result: weak. 1 of 4 tests passed.

    Strong brand consistency and About page, but lacks author identification and schema.

    Technical Accessibility100/100

    Result: strong. 4 of 4 tests passed.

    Excellent technical setup with full crawler access and strong social meta tags.

    How qualcomm.com can improve its AI visibility

    • Add JSON-LD Schema Markup (high priority)
    • Implement Heading Hierarchy (high priority)
    • Expose Publication Dates (medium priority)
    • Define Author Entities (medium priority)
    • Improve Outbound Citations (low priority)

    How qualcomm.com compares to its competitors