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    AI search visibility report · 2026-02-21

    How AI assistants see ground.news

    ground.news has an AI visibility score of 75/100. The site passed 23 of 34 tests. Its strongest areas are Content Freshness and Readability. The areas to improve are Schema.org Markup and Entity Definition.

    How ChatGPT, Claude and Perplexity read ground.news

    Readability85/100

    Result: strong. 4 of 4 tests passed.

    Content is highly readable with short sentences and clear language, suitable for a general audience. Technical jargon is minimal.

    Schema.org Markup40/100

    Result: weak. 0 of 5 tests passed.

    The site uses Open Graph and Twitter cards extensively, but lacks JSON-LD (Organization, WebSite, Article) which is the primary signal for LLMs.

    Authority & Trust Signals70/100

    Result: average. 2 of 5 tests passed.

    Strong social proof with 10,000+ reviews and major media mentions, but lacks detailed author credentials and explicit trust pages in the immediate scrape.

    Citation & Source Quality75/100

    Result: average. 4 of 4 tests passed.

    The platform is built on citations, but they are presented as news cards rather than formal academic or journalistic citations. Claims are verified by volume of sources.

    Content Freshness95/100

    Result: strong. 3 of 4 tests passed.

    Excellent freshness with content dated Feb 20, 2026 (yesterday relative to current date). Clear publication dates are visible.

    Content Structure70/100

    Result: average. 4 of 4 tests passed.

    Uses H1 and H2 tags, but the hierarchy is slightly flat. Semantic HTML is present but could be more descriptive for LLM parsing.

    Entity Definition65/100

    Result: average. 2 of 4 tests passed.

    Brand consistency is high, but the lack of a structured 'About' entity in schema limits LLM understanding of the organization's specific attributes.

    Technical Accessibility80/100

    Result: strong. 4 of 4 tests passed.

    Meta descriptions and social meta are well-implemented. Content is largely accessible, though heavily reliant on Next.js hydration.

    How ground.news can improve its AI visibility

    • Add JSON-LD Structured Data (high priority)
    • Strengthen Entity & Author Profiles (high priority)
    • Formalize Citation Structure (medium priority)
    • Optimize Heading Hierarchy (medium priority)
    • Optimize AI Crawler Access (low priority)

    How ground.news compares to its competitors