SEO Content Analysis with Entity Extraction

Use entity extraction to analyze and optimize SEO content. Identify key entities, improve topical coverage, and boost search rankings.

The Problem

SEO professionals struggle to understand the entity landscape of their content and competitors. Manual entity identification is time-consuming and inconsistent, making it hard to optimize for semantic search and build topical authority.

The Solution

Entity Detector automatically extracts all named entities from your content and competitor pages. Compare entity coverage, identify gaps, and optimize your content strategy with structured entity data.

Key Benefits

Analyze competitor content for entity coverage gaps
Build comprehensive topic clusters around key entities
Improve E-E-A-T signals through strategic entity mentions
Track entity density and relevance across your content
Identify missing entities that competitors cover
Export structured data for content planning tools

Code Example

python

import requests

def analyze_content_entities(content):
    """Analyze content for SEO entity optimization"""
    response = requests.post(
        "https://api.entity-detector.com/v1/analyze",
        headers={"Authorization": "Bearer YOUR_API_KEY"},
        json={"text": content}
    )

    result = response.json()
    entities = result["entities"]

    return {
        "persons": entities.get("persons", []),
        "organizations": entities.get("organizations", []),
        "locations": entities.get("locations", []),
        "total_entities": sum(len(v) for v in entities.values()),
        "relations": result.get("relations", [])
    }

# Analyze your content
my_content = """Your article content here..."""
analysis = analyze_content_entities(my_content)

print(f"Found {analysis['total_entities']} entities")
print(f"People: {analysis['persons']}")
print(f"Organizations: {analysis['organizations']}")

Example Output

json

{
  "entities": {
    "persons": ["Tim Cook", "Steve Jobs"],
    "organizations": ["Apple", "Microsoft", "NASDAQ"],
    "locations": ["Cupertino", "Silicon Valley", "California"]
  },
  "relations": [
    {
      "source": "Tim Cook",
      "target": "Apple",
      "type": "works_for",
      "sentiment": "neutral"
    }
  ],
  "meta": {
    "processingMs": 342,
    "model": "entity-detector-v1"
  }
}

Ready to get started?

Try entity extraction for your seo content analysis workflow.

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