Answer Readiness
What it measures: Whether pages directly answer the questions a real user (or an LLM) would ask, near the top, in language an answer engine can lift verbatim.
Pulled from your site: H1 specificity, presence of direct-answer paragraphs, FAQ blocks, list/table structure, and quotable sentence density across the audited pages.
Entity Clarity
What it measures: How clearly the site names what it is, who it is from, and what it does — so an LLM can attribute a citation without ambiguity.
Pulled from your site: Explicit brand/product names in titles and H1s, About-page presence, contact/identity exposure, consistent naming across pages, and Organization signals.
Schema & Structured Data
What it measures: Machine-readable identity and content markup that helps AI engines map your pages into a knowledge graph.
Pulled from your site: JSON-LD blocks parsed per page (Organization, WebSite, SoftwareApplication, FAQPage, BreadcrumbList, Article, Product, LocalBusiness), flattened across @graph and array @type values.
Trust Signals
What it measures: Verifiable, third-party-checkable signals that an AI engine can use to decide whether to cite a page.
Pulled from your site: External links to authoritative sources, presence of author/contact info, social profile linkage, HTTPS, and consistency between visible content and structured data.
Content Coverage
What it measures: Whether the site has enough crawlable, on-topic content for an AI engine to form a confident answer.
Pulled from your site: Word counts, heading depth, internal link density, presence of topic-defining pages (features, pricing, FAQ, methodology), and per-page content uniqueness.
Crawlability
What it measures: Whether AI crawlers and classic search bots can actually reach and parse the pages.
Pulled from your site: robots.txt status, sitemap.xml presence and validity, canonical tags, HTTP status of audited URLs, and the share of audited pages that returned clean HTML.