What gets measured
Eight signals, scored and explained
JSON-LD schema.org
Parses all ld+json blocks, counts types, flags parse errors. Organization, WebSite, Article, Product, FAQ are highest-value types.
Open Graph completeness
og:title, og:description, og:image, og:type, og:url: missing fields reduce citation quality in AI-generated summaries.
Canonical URL
A canonical tag tells crawlers which URL represents the authoritative version of a page: important for preventing diluted citations.
Twitter Card metadata
twitter:card and twitter:title presence: used as fallback metadata by several AI content scrapers.
Content depth score
Word count per page, heading structure (H1–H3), sentence count, FAQ markup density, and internal link graph.
Readability grade
Flesch-Kincaid grade level and reading ease score. AI systems tend to cite content that reads at a middle school to early college level.
Sitemap quality
sitemap.xml presence, page count, and whether pages listed in the sitemap are actually crawlable.
llms.txt and ai.txt
Presence and content length of machine-readable brand-guidance files that directly instruct LLMs on how to cite and represent the site.
Schema type impact on AI citations
Not all schema types are equal
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