Ontologizer

An ontology is a shared vocabulary for describing the things in a subject area and how they relate — Person, Organization, Product, author, offers, and so on. Schema.org is the biggest ontology on the web: a vocabulary Google, Microsoft, Yahoo, and Yandex agreed to so a machine reading your page can tell that “Apple” means the company and not the fruit, and that a review belongs to a specific product.

Ontologizer turns your unstructured page content into ontology-friendly structured data — it finds the entities, resolves them against Wikipedia, Wikidata, and Google's Knowledge Graph, and emits JSON-LD aligned with the right schema.org types. The clearer your entities are, the better search engines and AI Overviews can figure out what your page is actually about — and the more likely you are to be surfaced correctly instead of skipped or hallucinated.

Search engines no longer rank pages purely on keywords — they map content to entities (people, places, products, concepts) in a knowledge graph. Pages that clearly signal which entities they cover, and how those entities relate, win more of the long-tail and AI-Overview surface area. Ontologizer shows you which entities Google is likely to recognize on your page, and which ones are ambiguous or missing.

Most schema tools ask you to fill out a form and spit out JSON-LD from the fields you typed in. Ontologizer reads your actual page, resolves entities against Wikipedia, Wikidata, and Google's Knowledge Graph API, and uses those sameAs references to build schema that ties your content to external identifiers search engines already trust.

Google's AI Mode decomposes a user query into many sub-queries, then synthesizes an answer across them. The fan-out analysis simulates this: it lists the sub-queries your page is likely to get pulled into, and whether the page has good, partial, or no coverage for each. It's the fastest way to find content gaps that block you from being cited in AI answers.

Structured data helps — it's not a magic ranking lever, but it reduces ambiguity. When Google's system can tell that “Apple” on your page is Apple Inc.and not the fruit, you're more likely to be surfaced correctly and less likely to be hallucinated off of. Pair JSON-LD with clear on-page entity mentions and supporting content for best results.

If you're signed in, we log the URLs you analyze against your account — Search Influence uses this to follow up with people who might want help shipping their findings. Nothing is sold, nothing is shared with third parties, and if you never want the follow-up, let us know via the Feedback button.

If you're using your own API keys without an account, only the entity enrichment cache is touched (shared across all users, keyed by entity name — Wikipedia lookups for generic terms like SEO and Higher Education). No URL, no analysis result, no identifier is stored against an anonymous session.

Treat them as a prioritized checklist. Fixes labeled as E-E-A-T, Semantic Coverage, or Topical Authority are usually highest-leverage because they also help traditional organic search. If any of this feels like a lot, Search Influence can help you ship it.