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    AI search visibility report · 2026-06-22

    How AI assistants see nov.com

    nov.com has an AI visibility score of 45/100. The site passed 15 of 34 tests. Its strongest areas are Technical Accessibility and Content Structure. The areas to improve are Content Freshness and Schema.org Markup.

    How ChatGPT, Claude and Perplexity read nov.com

    Readability35/100

    Result: weak. 0 of 4 tests passed.

    Extremely poor readability for LLMs due to excessive sentence length (49.8 words avg) and low Flesch-Kincaid scores.

    Schema.org Markup0/100

    Result: weak. 0 of 5 tests passed.

    Total absence of JSON-LD schema markup. LLMs cannot programmatically verify site structure or entity details.

    Authority & Trust Signals40/100

    Result: weak. 2 of 5 tests passed.

    Strong trust pages (Privacy/Terms) but lacks specific author credentials and visible publication dates. Contact info is limited to a form link without a physical address or phone on the homepage.

    Citation & Source Quality62/100

    Result: average. 2 of 4 tests passed.

    Good use of inline links for internal navigation and news, but lacks external authoritative citations (.gov/.edu) to back technical claims.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    Critical failure: No dates found in schema, meta, or visible text to verify content recency for the LLM.

    Content Structure71/100

    Result: average. 4 of 4 tests passed.

    Excellent heading hierarchy (H1-H2-H3), but lacks semantic <section> elements to define content blocks.

    Entity Definition63/100

    Result: average. 3 of 4 tests passed.

    Strong brand consistency and About page presence, but lacks Person/Organization schema to formally define the entity to LLMs.

    Technical Accessibility93/100

    Result: strong. 4 of 4 tests passed.

    Excellent technical setup with full AI crawler access, social meta tags, and JS-independent content.

    How nov.com can improve its AI visibility

    • Implement Core JSON-LD Schema (high priority)
    • Add Verifiable Publication Dates (high priority)
    • Optimize Sentence Length for LLM Parsing (medium priority)
    • Establish Authoritative Bylines (medium priority)
    • Enhance Semantic Sectioning (medium priority)

    How nov.com compares to its competitors