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People Inc. is building dedicated interfaces for AI agents. Instead of letting software read entire web pages with navigation, scripts and ad elements, the US publisher wants to provide its articles as structured text – including author, publication date, updates and provenance information. Innovation chief Jon Roberts explained the step at the Digiday Media Strategies London event; Digiday reported on 2 November 2026.
The move is more than technical housekeeping: for media companies, it creates another distribution channel alongside the website, newsletter and social feed, one in which software queries content on behalf of readers.
The article stays the same, the packaging changes
The planned APIs deliver the actual piece in Markdown and structured metadata. An AI can use this to check which version of a text is current and who a statement should be attributed to, without first extracting the relevant sections from a complete HTML page.
People Inc. has already experimented with different technical delivery paths: after crawling, AI partners also received content via Amazon-S3 buckets to pass on updates and retracted posts. The individual APIs are meant to make delivery more targeted and efficient. The company has not announced whether or when general access will launch.
The interface fits an existing licensing business: People Inc., as Dotdash Meredith, agreed 2024 a content partnership with OpenAI and announced in December 2025 a multi-year agreement with Meta AI. The new delivery technology builds on a relationship with AI providers that is already commercially established.
Forbes, Time and Axios are developing different approaches
People Inc. is not alone. According to Digiday's research, Forbes Vetted offers Markdown versions and an MCP layer for its product recommendations, while Time is also delivering content in a more machine-friendly way. The planned Forbes product for recommendations within ChatGPT had not yet launched at the time of reporting.
Other publishers are also increasingly treating information as a product of its own: Axios Direct delivers news feeds for AI agents and enterprise models. And SPUR is working on standardized content telemetry so publishers can better track how external systems use their content.
The difference from classic search engine optimization is fundamental. An API organizes the controlled retrieval of content, while SEO and GEO offerings from publishers mainly influence its discoverability and visibility.
Why this matters for German media and content marketing
Demand is shifting quickly. The security firm HUMAN observed in its benchmark from 26 March 2026 an increase in traffic from AI agents and agentic browsers of 7.851 percent in the year 2025 compared with the previous year – measured within its platform. In the August analysis, 36,2 percent of the observed agent traffic was attributable to media sites.
For German publishers and content teams, the operational question is therefore: which content may agents read, how are permission, source and currency conveyed, and how is usage recorded economically? A machine-readable channel should not simply be a more convenient entry point for scraping, but should work together with access rules, licensing and attribution.
People Inc. is also under cost pressure: just last week the company reported, according to Digiday, job cuts of around six percent. Our earlier report on the structural change at People Inc. already showed how print, digital and social video are drifting apart.
The new distribution question is now concrete: those who supply journalistic content to AI systems may in future sell not just reach on a page, but a reliable, continuously updated data access.
Sources: Digiday, 2. November 2026; People Inc. on OpenAI; People Inc. on Meta; HUMAN Security, March and September 2026. Image: Mohammad Rahmani / Unsplash (stock photo).