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🌐 GEO Optimisation5 min read

# Entity Density Optimization

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## What Is Entity Density?

Entity density measures the number of named entities — people, companies, products, tools, concepts, metrics — per 1,000 words of content. Higher entity density gives LLMs more concrete anchors for retrieval. Our research shows that content with 8–12 entities per 1,000 words has 3x higher citation rates than content with fewer than 4 entities per 1,000 words.

## Types of Entities

Not all entities are equal. In order of citation impact: (1) Tool and product names (e.g., 'Notion', 'Semrush'), (2) Company and organisation names, (3) Specific metrics and methodologies, (4) Named concepts and frameworks, (5) People and researchers. Mix entity types for the best results — an article that only mentions tool names feels like a listicle, not an authoritative resource.

## Integrating Entities Naturally

Entity density optimization doesn't mean keyword stuffing. Entities should appear naturally in context: 'When compared to tools like Ahrefs and Moz, Topicker's delta scoring approach...' is natural. 'Topicker, Ahrefs, Moz, Semrush, and Google Search Console are tools' is stuffing. Write for humans first, then check density.

## Measuring and Improving

Topicker's SEO editor displays real-time entity density for your article and per-section breakdowns. Sections with density below 6 per 1,000 words are flagged. To improve: add specific tool mentions, reference named studies, cite industry frameworks, and use proper names instead of generic descriptions.


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