ShakeKit Semantic Entity & Topic Cluster Analyzer
measure how completely you cover a topic.
Depth wins in search and AI. Check which key entities and subtopics your content covers, against a built-in topic, your own list, or a competitor's article, and get a topical completeness score with the exact gaps to fill.
Your content
Measure completeness againstTopical completeness
Check topical completeness in four quick steps
No signup. Paste, choose, score, fill.
Add your content
Paste the article you want to check, or fetch it by URL.
Choose a benchmark
Pick a topic preset, paste your own entities, or paste a reference article.
Read your score
See your completeness score and coverage for each topic cluster.
Fill the gaps
Add the missing entities the tool surfaces to deepen your coverage.
Depth beats keywords. This measures your depth
Modern search and AI do not just match keywords, they understand topics through entities: the concepts, terms, and subtopics that make up a subject and how they connect. A page about SEO that never mentions indexing, backlinks, or search intent looks shallow to Google, no matter how many times it says "SEO." Topical completeness is how thoroughly you cover the entities a subject demands, and it is one of the clearest signals of genuine depth.
Why entities and topic clusters matter
- Rankings reward depth. Comprehensive content that covers a topic fully tends to outrank thin content, because it satisfies more of what searchers want in one place.
- AI engines map entities. Tools like AI Overviews and Perplexity understand and cite content partly through the entities it covers and how well. Broad, accurate coverage makes you a more reliable source.
- Clusters build authority. Covering whole subtopics (on-page, off-page, technical for SEO) rather than scattered keywords is how you become a recognized authority on a subject.
Three ways to measure, so it is actually accurate
- Topic preset. Pick a subject and check your content against a curated, editable list of the entities a strong piece should cover, grouped into clusters.
- Your own entities. Paste the exact concepts that matter for your topic. You define what complete means, the most precise option.
- Reference comparison. Paste a competitor or top-ranking article. The tool extracts its key entities and shows what yours is missing, benchmarking you against content that already works.
How the score works
The topical completeness score is the share of expected entities your content actually covers, weighted so core concepts count more than nice-to-haves. Each topic cluster is scored separately, so a 70 overall might hide a technical cluster sitting at 20, exactly the gap worth fixing. The tool matches entities and their common variants (so "backlinks" also catches "inbound links" and "link building"), so coverage is recognized even when your wording differs.
Use it to build, not to stuff
The missing-entity list is a content brief, not a keyword checklist. Add the gaps you can genuinely cover with substance, that is what earns depth. Cramming in terms you do not explain helps no one and can hurt. Real coverage means real answers.
Want content built for full topical authority, not thin posts? Shakeworld plans and writes topic-cluster content that ranks and gets cited. The tool is free regardless.
Topical completeness, answered
Topical completeness is how thoroughly your content covers a subject, measured by the key entities (concepts, terms, subtopics) a strong piece on that topic should include. Search engines and AI models reward depth: content that covers a topic comprehensively tends to rank and get cited more than content that touches it lightly. This tool scores that coverage and shows the gaps.
A semantic entity is a distinct concept, thing, or term that search engines recognize and connect, like backlinks, indexing, or search intent within the topic of SEO. Google understands content through entities and their relationships, not just keywords. Covering the right entities signals genuine depth on a topic, which supports both traditional rankings and AI citations.
Three ways. You can pick a built-in topic and the tool checks your content against a curated list of entities grouped into clusters. You can paste your own entity list to define exactly what matters. Or you can paste a competitor or reference article and the tool extracts its key entities, then shows which ones your content is missing, benchmarking you against real content that already performs.
A topic cluster is a group of related subtopics that together cover a subject fully. For SEO, that might be on-page, off-page, and technical clusters. Covering whole clusters, rather than scattered keywords, is how you build topical authority. This tool scores each cluster separately so you can see exactly which area of a topic your content is thin on.
Not blindly. Stuffing in terms you do not actually explain does not help, and can hurt. The goal is genuine coverage: address the entities that matter to the reader and the query, with real substance. Use the missing-entity list as a prompt for what to genuinely add, not a checklist to keyword-stuff.
Yes, completely free with no signup. Pasted text is analyzed entirely in your browser. URL analysis uses a small helper on the site itself, with no third-party service. It is part of ShakeKit, a free set of marketing tools by Shakeworld. Analyze as much content as you like.
Cover the topic fully. Own the rankings.
ShakeKit has more free tools to optimize for AI search, evaluate E-E-A-T, and generate schema.
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