September 30, 2026, (Inside AI) — Cloudflare has launched Pay Per Use in beta, a system that lets AI companies pay publishers when their content powers answers, recommendations, or reports. The move follows the company's 2025 Pay Per Crawl model, which charges for access rather than actual use. Pay Per Use aims to fix a structural flaw in the AI economy: answer engines read a publisher's page, summarize it for a user, and eliminate the visit that would have generated ad or subscription revenue.
Most publishers will never sign direct licensing deals with AI companies, and no AI firm can negotiate with millions of websites individually. Cloudflare's answer is a standardized marketplace where buyers make offers, publishers accept or decline, and usage is tracked and billed through a single API. The company handles enrollment, metering, billing, and payment. Publishers see earnings and usage in their Cloudflare dashboard.
The core insight is that AI products fetch far more content than they actually use. A search engine indexes pages it never shows. Charging for every crawl forces buyers to pay before they know what they need, which discourages participation. Pay Per Use ties payment to the value a buyer actually extracts, which Cloudflare hopes will attract more buyers and generate more revenue for publishers.
Each AI company defines what counts as a paid use and sets a price. A search service might pay when it returns an excerpt from an enrolled page. A shopping agent might pay when a review shapes a recommendation, even if the shopper never reads the review. Publishers can accept different offers for different uses of the same article. Cloudflare provides the reporting and payment infrastructure but does not set prices or define usage.
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Buyers report each use as a single line of JSON: timestamp, source URL, and an event ID. Usage is self-reported, but program terms require complete reporting, and Cloudflare checks that each reported use maps to an enrolled publisher. Payments flow monthly to publishers through a connected account. Buyers get one integration for all participating sites.
"The question is simple: do both sides want to keep going?" Cloudflare wrote in its announcement. "Buyers need content that improves their products at a price that works. Publishers need a return that makes participation worthwhile, reporting they can trust, and payments that arrive on time."
The system builds on Cloudflare's existing Business Insights, which shows which crawlers visit and what they take. Pay Per Use adds a layer that shows whether content was actually used, how often, and what it earned. The company is also developing an Answer Engine Optimization tool that shows how assistants answer questions about a publisher's work. Together, these tools connect discovery, usage, and payment.
Cloudflare is working with AI companies to report more context about each use, such as the keywords that led to a citation, the topic of the request, or the product it powered. No personal data is exchanged. During the beta, Cloudflare is working directly with buyers and opted-in publishers to test whether the model works at scale.
Over time, Cloudflare wants new buyers to onboard with their own products and payment models without rebuilding enrollment, reporting, and settlement for each publisher. Publishers will be able to accept or decline offers, counter on price, and price content differently by use. A recent article may be worth more to an AI product than a decade-old archive page, and publishers should be able to charge accordingly.
Pay Per Use is not the only tool Cloudflare is launching. Monetization Gateway, also in beta, lets sellers charge agents per request using the open x402 protocol. Pay Per Use handles content that is used downstream in AI products. Monetization Gateway handles APIs, tools, and data where every request is the use. Both run on the same foundations: identity, metering, pricing, and analytics.
"Publishers shouldn't have to choose between blocking every agent and giving their work away," Cloudflare wrote. "Pay Per Use gives them a way to say yes, on clear terms, with an account of what happened."
The launch comes as AI answer engines increasingly summarize publisher content without sending traffic back to the source. That shift has already triggered lawsuits and licensing deals between major publishers and AI companies. Pay Per Use offers a different path: a standardized, self-serve marketplace that could scale to millions of sites. Whether buyers will report usage honestly and whether publishers will earn enough to justify participation are the open questions the beta will answer.
