LLMaoLLMao

    AI search visibility report · 2026-06-12

    How AI assistants see stlouisfed.org

    stlouisfed.org has an AI visibility score of 44/100. The site passed 14 of 34 tests. Its strongest areas are Citation & Source Quality and Technical Accessibility. The areas to improve are Content Freshness and Authority & Trust Signals.

    How ChatGPT, Claude and Perplexity read stlouisfed.org

    Readability30/100

    Result: weak. 0 of 4 tests passed.

    Extremely low Flesch-Kincaid score and very long sentence lengths make the content difficult for LLMs to parse efficiently.

    Schema.org Markup40/100

    Result: weak. 2 of 5 tests passed.

    Valid JSON-LD present for the organization, but missing core WebSite/WebPage schemas and all content-specific schemas.

    Authority & Trust Signals30/100

    Result: weak. 2 of 5 tests passed.

    Strong physical and legal trust signals, but lacks structured author credentials and explicit publication dates on the homepage.

    Citation & Source Quality86/100

    Result: strong. 4 of 4 tests passed.

    Excellent use of inline citations and links to authoritative government and educational sources.

    Content Freshness0/100

    Result: weak. 0 of 4 tests passed.

    No machine-readable publication or modification dates found in schema or metadata, despite visible 2026 dates in text.

    Content Structure46/100

    Result: weak. 1 of 4 tests passed.

    Missing H1 tag and lack of section elements hinders LLM understanding of page hierarchy. Paragraphs are excessively short.

    Entity Definition48/100

    Result: weak. 2 of 4 tests passed.

    Strong brand consistency and About page, but lacks Person schema for key leadership and economists.

    Technical Accessibility80/100

    Result: strong. 3 of 4 tests passed.

    Excellent AI crawler access and JS independence, but meta description is significantly over recommended length.

    How stlouisfed.org can improve its AI visibility

    • Add Content-Specific Schema (high priority)
    • Fix Heading Hierarchy (high priority)
    • Enhance Author Entities (medium priority)
    • Optimize Meta Description Length (medium priority)
    • Expose Metadata Dates (low priority)

    How stlouisfed.org compares to its competitors

    • Federal Reserve Bank of Kansas City (kansascityfed.org)
    • Federal Reserve Bank of New York (newyorkfed.org)
    • Federal Reserve Bank of Chicago (chicagofed.org)
    • Bureau of Economic Analysis (bea.gov)