LLMaoLLMao

    AI search visibility report · 2026-06-21

    How AI assistants see haystack.deepset.ai

    haystack.deepset.ai has an AI visibility score of 47/100. The site passed 16 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 haystack.deepset.ai

    Readability60/100

    Result: average. 2 of 4 tests passed.

    The content is technically dense (Flesch 36.8), which is expected for the niche but may hinder broader LLM summarization. Sentence length is well-managed.

    Schema.org Markup0/100

    Result: weak. 0 of 5 tests passed.

    Complete absence of JSON-LD schema markup. This is a critical failure for LLM optimization.

    Authority & Trust Signals25/100

    Result: weak. 1 of 5 tests passed.

    Lacks verifiable contact details and structured author credentials, though it has a privacy policy and strong social proof via brand logos.

    Citation & Source Quality74/100

    Result: average. 3 of 4 tests passed.

    Excellent use of inline citations for technical claims, though it lacks links to external authoritative academic or government sources.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    No machine-readable publication or modification dates found on the homepage, making it difficult for LLMs to verify recency.

    Content Structure77/100

    Result: average. 3 of 4 tests passed.

    Good use of semantic HTML and paragraph structure, but the heading hierarchy is broken with multiple H1s and skipped levels.

    Entity Definition58/100

    Result: weak. 3 of 4 tests passed.

    Strong brand consistency and an about page are present, but the lack of Organization and Person schema limits entity clarity for LLMs.

    Technical Accessibility100/100

    Result: strong. 4 of 4 tests passed.

    Excellent technical setup with full AI crawler access, social meta tags, and a descriptive meta description.

    How haystack.deepset.ai can improve its AI visibility

    • Implement Comprehensive JSON-LD Schema (high priority)
    • Add Verifiable Contact Information (high priority)
    • Standardize Heading Hierarchy (medium priority)
    • Expose Content Modification Dates (medium priority)
    • Enhance Author Entity Definition (medium priority)

    How haystack.deepset.ai compares to its competitors