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Entity & Knowledge GraphFree · runs in your browser

People, places, products · ranked

EntityExtractor

Paste any content and we'll extract the people, organisations, places, products and concepts that an LLM would treat as entities - with a strength score for each.

Paste content

131 words · 22 entities detected

Entities

GEO

Concept×3

...Generative Engine Optimization (GEO) is the discipline of getting brands cited inside AI assist...

HAI Citation Working Group

Organization×1

...Chen from Stanford University leads the HAI Citation Working Group. Her 2026 paper on retrieval-augmented generation showed th...

Generative Engine Optimization

Concept×1

...Generative Engine Optimization (GEO) is the discipline of getting brands cited inside AI a...

Google Search Console

Concept×1

...The weakest brands are still focused on Google Search Console reports from 2023....

ChatGPT

Organization×2

...argets the generative answer cards from ChatGPT, Claude, Gemini and Perplexity. According to Gartner, by 2...

Claude

Organization×2

...e generative answer cards from ChatGPT, Claude, Gemini and Perplexity. According to Gartner, by 2026 roug...

Sarah Chen

Person×1

...signals on Wikidata and Wikipedia. Dr. Sarah Chen from Stanford University leads the HAI Citation Working Gro...

Stanford University

Organization×1

...ata and Wikipedia. Dr. Sarah Chen from Stanford University leads the HAI Citation Working Group. Her 2026 paper on ret...

Unlike

Concept×1

...ands cited inside AI assistant answers. Unlike classic SEO, GEO targets the generative answer cards from C...

SEO

Concept×1

...de AI assistant answers. Unlike classic SEO, GEO targets the generative answer cards from ChatGPT, Clau...

Gemini

Organization×1

...tive answer cards from ChatGPT, Claude, Gemini and Perplexity. According to Gartner, by 2026 roughly 21%...

Perplexity

Organization×1

...cards from ChatGPT, Claude, Gemini and Perplexity. According to Gartner, by 2026 roughly 21% of informationa...

According

Concept×1

...hatGPT, Claude, Gemini and Perplexity. According to Gartner, by 2026 roughly 21% of informational queries wi...

Gartner

Organization×1

...e, Gemini and Perplexity. According to Gartner, by 2026 roughly 21% of informational queries will happen o...

Geolify

Organization×1

...AI assistants. In our 2026 analysis at Geolify, we measured a 4.3x citation lift for brands with strong en...

Wikidata

Organization×1

...or brands with strong entity signals on Wikidata and Wikipedia. Dr. Sarah Chen from Stanford University lea...

Wikipedia

Organization×1

...h strong entity signals on Wikidata and Wikipedia. Dr. Sarah Chen from Stanford University leads the HAI Cit...

OpenAI

Organization×1

...rieval-augmented generation showed that OpenAI's ChatGPT and Anthropic's Claude both weight sourced conten...

Anthropic

Organization×1

...ration showed that OpenAI's ChatGPT and Anthropic's Claude both weight sourced content 3.2x higher than unsou...

HubSpot

Concept×1

...The strongest brands in the category - HubSpot, Salesforce and Shopify - are already investing in GEO. The...

Salesforce

Organization×1

...ngest brands in the category - HubSpot, Salesforce and Shopify - are already investing in GEO. The weakest bra...

Shopify

Concept×1

...the category - HubSpot, Salesforce and Shopify - are already investing in GEO. The weakest brands are stil...

How it works

The extractor scans for sequences of capitalised words and classifies each one by type (Person, Organization, Place, Product, Concept) using a combination of known-entity lists, context clues ("said", "founded", "Inc") and name-shape heuristics. Every entity gets a strength score based on frequency and specificity.

Why entity count matters for GEO

  • Each entity is a match point - AI assistants match user queries against the entity graph of every candidate page. More entities, more match points.
  • Co-occurrence builds topical authority - being mentioned near "Gartner", "Stanford", or "OpenAI" transfers some of their topical weight to you.
  • Entity density signals expertise - dense entity usage reads as insider knowledge; thin entity usage reads as surface-level content.

Pair with

Wrap your top entities in Entity schema to give assistants structured confirmation. For brand entities specifically, use the Brand Entity Builder. Full entity playbook: entity SEO for the AI era.

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