NYT, AFP and The Economist Join Coalition to Track AI Use of Publisher Content
Learn how NYT, AFP and The Economist are joining forces to track AI use of publisher content and protect publishers' intellectual property.
October 13, 2026: The New York Times, Agence France-Presse (AFP) and The Economist have joined Standards for Publisher Usage Rights (SPUR), a coalition developing standards to track how AI systems use publishers’ content. The move aims to help publishers monitor content use and strengthen licensing negotiations with AI companies, though its impact on compensation and referral traffic remains uncertain.
The New York Times, Agence France-Presse (AFP) and The Economist joined the Standards for Publisher Usage Rights (SPUR) coalition, Reuters reported. The coalition has more than 80 members across over 20 countries along with founding members such as BBC, Financial Times and Associated Press.
A New Standard Aims to Make AI Content Use More Visible
On October 2, SPUR published its Content Telemetry Standard, an open-source framework designed to help AI systems report when they retrieve, use, cite or display publisher content.
The standard aims to give publishers better evidence of how their work is used, helping them monitor licensing agreements and negotiate with AI companies.
“This is the first step towards a fairer future,” said David Buttle, co-founder of SPUR, in the coalition’s announcement. He said the framework would help publishers and rights-holders establish a common language for content use and build more transparent licensing arrangements.
Publishers Face Questions Over Rights and Referral Traffic
The coalition’s expansion comes as publishers pursue different approaches to protecting their intellectual property, including licensing agreements and legal action over alleged unauthorized use of copyrighted material.
Reuters reported that USA Today and several newspapers it owns sued OpenAI earlier in October, alleging copyright infringement. OpenAI and Microsoft also face separate copyright claims from authors and news organizations, including The New York Times. These are allegations, not findings of liability.
Publishers are also confronting changes in how audiences discover information. AI-generated search answers can provide information without requiring users to visit the original website.
Google organic-search referrals to more than 2,500 websites fell 33% globally between November 2024 and November 2025, according to data from Chartbeat cited by the Reuters Institute for the Study of Journalism.
Adoption Remains Uncertain
A published standard does not guarantee that AI companies will adopt it. SPUR is still working with industry partners on implementation and proofs of concept.
Digiday reported that SPUR had invited OpenAI, Anthropic, Google, Meta and Microsoft to help shape implementation through its AI Licensing Advisory Board. A Google spokesperson told Digiday: “We frequently engage with SPUR and other associations on a variety of topics.” The statement did not confirm Google’s adoption of the standard.
What B2B Marketers Should Watch
The development raises a question for B2B marketers: Can they measure the value of content discovered through AI?
An AI citation, a website visit and a qualified lead are different outcomes. Marketers should track these separately where reliable data is available rather than treating AI visibility as proof of business impact.
However, SPUR currently focuses on publisher content. Its standard does not establish a measurement system for corporate marketing websites or prove that AI visibility generates leads or revenue.
The next test is whether AI companies adopt the standard and whether the resulting data supports meaningful licensing agreements. For B2B marketers, broader implications will depend on whether comparable measurement capabilities eventually extend beyond journalism.
