Entity Extraction FREE Tool

Extract entities from a content by using AI

Ready to turbocharge your SEO efforts and see your organic search performance soar? Look no further than our cutting-edge AI-powered entity linker and entity extraction tool!

With our intelligent solution, you can analyze your content and identify all the relevant entities within it, connecting them seamlessly to their corresponding Wikidata descriptions.

This powerful combination will help search engines like Google better understand your content and rank it higher in search results. But that’s not all! Our tool will also create AI-enriched WebPage schema markup, further amplifying your SEO benefits.

Note: The models in this demo are trained primarily for English and German; support for other languages may be limited.

Why is the entity-based SEO important?

Entity-based SEO is important because when search engines understand the content better, they reward it by distributing it to the most relevant audience for your online business and sometimes even exposing you to a bigger audience that you’ve expected. The entity approach is crucial for your branding and technical marketing efforts – when search engines can understand your content clearly, the same will hold for your online users. Entity SEO is the modern, next-gen approach for your SEO strategy that you should employ today.

Which knowledge bases are the most popular for entity linking SEO purposes?

There are several entity linkers that are popular for SEO purposes, including:

  • Google’s Knowledge Graph: Google’s Knowledge Graph is a powerful entity linker that connects entities in search results to their corresponding Wikipedia entries, as well as other relevant information.
  • Wikidata: Wikidata is a collaboratively edited knowledge base that provides a structured source of information about entities, which can be used to improve the quality of search results and enhance the relevance of entity links.
  • DBpedia: DBpedia is a dataset that extracts structured information from Wikipedia and provides a source of linked open data that can be used to enhance the quality of search results and improve entity linking.
  • Yahoo Knowledge Fusion: Yahoo Knowledge Fusion is a tool that allows developers to access Yahoo’s knowledge base and use it to improve the relevance of search results and entity links.
  • Microsoft’s Entity Framework: Microsoft’s Entity Framework is a tool that allows developers to access and manipulate entities in a knowledge base, and use them to improve the relevance of search results and entity links.
  • OpenCyc: OpenCyc is an open-source cyclopedia that provides a large, structured source of information about entities, which can be used to improve the quality of search results and enhance the relevance of entity links.
  • ConceptNet: ConceptNet is a multilingual knowledge base that provides a structured source of information about entities, which can be used to improve the quality of search results and enhance the relevance of entity links.
  • WordNet: WordNet is a lexical database that provides a network of words and their relationships, which can be used to improve the quality of search results and enhance the relevance of entity links.