Content Entity Extractor & Normalizer

Analyze competitor URLs to extract key entities, questions, and content structure for contextual optimization.

How it works+

What this tool does

The Content Entity Extractor analyzes competitor web pages to identify key topics, entities, and content structure. It extracts the most frequently mentioned terms, categorizes them (Product, Audience, Intent/Quality), and identifies related phrases to help you understand what content performs well in your niche.

How it works

  1. Entity Extraction: The tool crawls each URL and extracts text from main content areas (paragraphs, headings, lists). It then identifies and counts all significant words, filtering out common stop words.
  2. Categorization: Entities are automatically categorized into groups like Product, Audience, or Intent/Quality based on keyword patterns.
  3. Context Analysis: For each entity, the tool finds related phrases (bigrams/trigrams) to show how terms are used in context (e.g., "cowgirl boots", "best leather boots").
  4. Priority Scoring: The Context Priority Score uses a logarithmic formula that emphasizes breadth (how many URLs mention the entity) over raw frequency, helping you identify topics that matter across multiple competitors.
  5. Gap Analysis (optional): When enabled, the tool compares your content against competitors to identify missing or underrepresented entities, providing actionable recommendations.

Use cases

  • Research competitor content strategies before creating new pages
  • Identify content gaps in your existing pages
  • Discover trending topics and terminology in your industry
  • Build comprehensive content outlines based on competitor analysis

Analyze entities in your own content, or use for gap analysis comparison.

Enable Gap Analysis:

Compare your content against competitors to identify missing entities. Requires competitor URLs below.