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Research & QueryFree · runs in your browser

Subtopic coverage map for any content block

TopicCoverage Analyzer

How completely your content covers a target topic.

58 words5/8 subtopics

Coverage · Patchy

63%

Covered subtopics

LLMs.txt and crawl policy

llmscrawl

Schema markup

schemamarkup

Content structure

structurepassage

FAQ and answer blocks

faqanswerblock

ChatGPT / Claude / Perplexity

chatgptclaudeperplexity

Missing subtopics

×Definition and scope

×Entity strength

×Citation measurement

How it works

Paste your content and enter the topic it is supposed to cover. The analyser loads a canonical subtopic list for the topic (or generates a generic one if the topic is new), checks each subtopic against your content via keyword and synonym matching, and scores total coverage as a percentage.

Why topical completeness wins

  • Full coverage = canonical. When a page touches every subtopic, AI assistants treat it as the canonical source and cite it across multiple query shapes.
  • Gaps leak citations. Any missing subtopic is a free citation slot for a competitor. Closing gaps is additive.
  • Word count is a distant second. A focused short page that covers everything beats a long page that skips subtopics.

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