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TheGraphicKing
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entity-analyzer

Extracts and scores named entities and topical concepts from page content for SEO analysis.

Updated May 23, 2026
Search Tags:#content optimization#content analysis#seo#semantic analysis#entity extraction#topical authority#keyword relevance
One-click install
npx skills add https://github.com/TheGraphicKing/skott-canvas --skill entity-analyzer-thegraphicking
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: entity-analyzer
Source: https://github.com/TheGraphicKing/skott-canvas/tree/main/skills/entity-analyzer
Command: npx skills add https://github.com/TheGraphicKing/skott-canvas --skill entity-analyzer-thegraphicking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Content teams struggle to objectively measure whether a page covers a topic comprehensively enough to rank for its target keyword. This Skill replaces guesswork with a structured entity inventory that scores every concept by frequency, prominence, and relevance. ## Core Features & Use Cases - Entity Extraction: Identifies named entities, conceptual terms, and semantic modifiers from HTML or plain text content. - Weighted Scoring: Combines frequency, positional prominence, and keyword relevance into a 0-100 score per entity. - Coverage Benchmarking: Produces an overall entity coverage score for before/after comparisons during content optimization. - Use Case: An SEO editor rewrites a landing page, then runs this Skill on both versions to verify that entity gaps against competitors have been closed. ## Quick Start Analyze this page content for the target keyword "topical authority" and return the scored entity list with a coverage score.

Frequently Asked Questions about entity-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I measure topical entity coverage of a web page?▼

Provide the page content and a target keyword to the entity-analyzer. It strips HTML, identifies named and conceptual entities, scores each by frequency, prominence, and relevance, then returns a composite 0-100 coverage score.

What is the difference between entity analysis and keyword frequency analysis?▼

Keyword frequency counts exact term repetitions, while entity analysis identifies the conceptual building blocks of a topic, including named things, processes, and modifiers. This reveals topical depth that raw keyword counts miss.

Does entity extraction work on HTML content or only plain text?▼

Both formats are supported via the content_format parameter. When set to html, tags, navigation, footers, sidebars, and scripts are stripped before analysis; set it to text for pre-cleaned content.

How is the entity score calculated?▼

Each entity score combines frequency (30%), prominence with a 1.5x multiplier for early or heading placement (40%), and semantic relevance to the target keyword (30%), normalized to a 0-100 scale.

When should I not use entity coverage scoring?▼

Avoid relying on it for very short content where frequency normalization is unstable, or as the sole ranking predictor. It measures topical breadth, not backlinks, technical SEO, or search intent alignment.

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