AI engines and featured snippets love clean definitions because they are self-contained, unambiguous, and easy to quote verbatim. A sentence like 'Schema markup is structured data added to a page to help search engines understand its content' can be lifted directly into an answer. Pages with clear definitions are disproportionately cited for 'what is' style queries.

It scans your text for definition-style sentences using patterns such as 'X is', 'X are', 'X refers to', 'X means', 'X is defined as', and 'X is a type of'. It favors sentences where the subject is a noun phrase near the start, which is how genuine definitions read, and lists each match it finds along with a total count.

There is no fixed rule, but informational and glossary pages benefit from at least one crisp definition near the top for the primary term, plus definitions for key secondary concepts. If the detector finds zero on a page that targets a 'what is' query, that is a clear gap — add a one-sentence definition right after the relevant heading.

Heuristic detection is not perfect, so some non-definition sentences using 'is' may appear. The tool biases toward sentences that look like real definitions — a clear subject term followed by an explanatory predicate — but you should review the list and keep the ones that genuinely define a concept. Treat the count as a strong signal, not an exact measure.

Put the primary definition immediately after the H1 or the first relevant heading, ideally as a standalone sentence so it is easy to extract. Define secondary terms at the point you first use them. Keeping each definition to one or two sentences maximizes the chance an AI system or snippet quotes it cleanly.

Yes. Definition and 'what is' featured snippets are among the most common types Google shows, and they pull from concise definition sentences. The same crisp phrasing that wins an AI citation also wins a definition snippet, so optimizing for one tends to improve the other.

No. The detection is purely rule-based pattern matching over your page text, run on our server with no LLM or external AI API. Your content is parsed only to find and return the definition sentences and is not stored or used for training.