Curated News
By: NewsRamp Editorial Staff
June 01, 2026
New EntityMap Standard Aims to Help AI Understand Websites
TLDR
- EntityMap gives organizations a competitive edge by ensuring AI systems accurately retrieve and cite their facts, reducing misrepresentation.
- EntityMap is a structured file mapping entities, relationships, and evidence on a website, enabling machines to access verified knowledge directly.
- EntityMap empowers organizations to present accurate, evidence-backed information to AI, fostering trust and reducing misinformation in digital discovery.
- EntityMap standardizes website knowledge for AI, and its 33-day public consultation invites global feedback to shape its final specification.
Impact - Why it Matters
This news matters because as AI systems increasingly replace traditional search and customer service, organizations risk having their information misrepresented or inaccurately summarized. EntityMap gives businesses a way to directly control how AI interprets their website knowledge, ensuring that products, services, and expertise are correctly attributed and cited. For any organization concerned about AI-driven discovery, this standard could become essential for maintaining accurate digital representation.
Summary
Today, a new open standard called EntityMap has entered a 33-day public consultation, aiming to help organizations make their facts, relationships, and evidence easier for AI systems to retrieve, understand, and cite. Developed by Waikay and InLinks, EntityMap allows organizations to publish a structured, machine-readable map of their key entities—such as products, services, people, and locations—and how they relate to one another, with links to supporting evidence on their website. This reduces the need for AI systems to infer meaning from fragmented web pages, improving accuracy for search engines, retrieval systems, and large language model applications.
The specification is available at entitymap.org/spec/v1.0, and the consultation runs until 30 June 2026, with the official launch on 1 July 2026. Developers, publishers, structured-data specialists, AI retrieval practitioners, SEO professionals, and data-quality experts are invited to review and contribute feedback through the EntityMap community forum and GitHub repository. Fred Laurent, CTO of InLinks and Waikay, emphasized that while a sitemap tells search engines which pages exist, EntityMap tells AI systems what an organization is and how its knowledge connects. Dixon Jones, co-founder of Waikay, added that the web was built around pages and prose, but AI retrieval needs a clearer layer of meaning and evidence.
EntityMap is designed for any organization concerned about AI misrepresentation, including healthcare, financial services, legal, publishing, and technology sectors. It is published under CC BY 4.0, with no vendor lock-in. The project has been reviewed by R.V. Guha, one of the founders of Schema.org, who called it "a good thing for the world." The consultation phase focuses on technical review and early implementation, with wider adoption to follow. By providing a structured evidence layer, EntityMap aims to help organizations control how AI systems interpret their information, ensuring accurate attribution and reducing incomplete or inaccurate answers.
Source Statement
This curated news summary relied on content disributed by Newsworthy.ai. Read the original source here, New EntityMap Standard Aims to Help AI Understand Websites
