With the rise of large language models (LLMs) and their continuous training, digital publishers are faced with a difficult dilemma: to allow or block AI crawlers. There’s also a third option: put a paywall in place and monetize AI access. Some major news outlets have found ways forward, licensing their content to LLMs, partnering with monetization platforms, and negotiating access deals. 

But here’s the catch: you can’t monetize what you can’t see.

DataDome detected nearly 8 billion AI agent requests across its network in January and February 2026 alone, proof that high volumes of AI traffic are not a future concern, but today’s reality. And for media organizations, every one of those requests is either a revenue opportunity or a revenue leak.

Without accurate AI & bot detection, this traffic is often invisible, and your monetization strategy is built on shaky ground. Behind every LLM request could be a compliant crawler paying for access, or a scraper stealing your archive for free, undermining SEO and eroding licensing leverage.

The dual nature of AI traffic

AI traffic isn’t inherently bad. Some interactions, like data-licensing crawlers or AI-powered news aggregators, can create legitimate business value. Others can erode it, diverting your readers away from your website and reducing your traffic. 

The upside: new revenue streams

AI crawlers and LLMs are changing how readers engage with publishers. For media organizations, that shift opens new channels of monetization, if managed correctly.

• New reach: Content can surface directly through LLM outputs, AI search engines, and knowledge assistants.
• Revenue from access: Publishers can license content to compliant AI providers, turning uncontrolled scraping into paid, policy-driven access.

Handled with the right visibility and control, AI traffic can become a new source of revenue.

The downside: scraping and fraud

But the same automation also fuels risk. 

Media businesses can face real losses from:

• Degraded SEO & discovery: LLMs answer readers directly, diverting traffic before it reaches your site.
• Accelerated fraud: AI agents can bypass CAPTCHAs and IP blocks faster than human teams can respond. For media, this means account takeovers, fake subscriptions, and ad fraud at scale. 
• Less traffic means less revenue: When AI answers questions using your content, readers never click through, eliminating opportunities for subscriptions, ads, and engagement.
• Content theft at scale: Scrapers can harvest years of archives in hours, training models on your IP without attribution or compensation.

Additionally, DataDome’s Galileo Threat Research team has reported that many AI agents and LLMs entirely ignore robots.txt, heightening concerns of unwanted content scraping. 

Why monetization requires strong detection 

It’s a no-brainer for some media companies to monetize AI access, especially when it comes to LLM crawlers. But there is a fundamental flaw in some AI monetization strategies. Companies assume all AI traffic is what it claims to be.

It’s not.

A request that looks like a compliant crawler could be a spoofed AI agent in disguise. An API call from an agent that appears legitimate might actually be a tool conducting vulnerability scans. A licensing agreement with a verified AI provider doesn’t stop unauthorized bots from accessing the same content through backdoor routes.

The Galileo threat research team has reported that 80% of AI agents don’t properly identify themselves when visiting websites, and 80% of sites don’t verify identity. The team observed several real-world cases where this attack vector was exploited, including ChatGPT used to perform an SQL injection attack and Comet Browser used for fake account creation. 

Without accurate detection, monetization strategies become revenue leaks. You might be granting paid access to legitimate partners while simultaneously handing free access—and your content—to malicious actors. You can’t charge for something you can’t control, and you can’t control what you can’t see.

AI traffic monetization relies on strong detection. Detection that assesses identity and intent, including who or what is accessing your content and why.

What accurate detection unlocks 

Accurate detection isn’t just about security—it’s what makes monetization possible. Here’s what you can do when you know exactly who (or what) is accessing your content and the intent behind the request:

• Enforcement of licensing: When you license content to AI providers, detection ensures only authorized crawlers can access it. Without it, unlicensed scrapers extract the same data for free, undermining your licensing revenue. Additionally, some monetization partnerships may depend on your ability to enforce access terms. 
• Revenue attribution: When AI agents access your content, you need to know which agents are generating value. Detection ties every page view, article access, or crawl section back to its source, so you can optimize partnerships and negotiate better terms.

The costs of getting it wrong

The consequences of inaccurate detection compound quickly:

• Revenue leakage: Let’s say a media company partners with a monetization platform that charges AI agents per crawl. If 30% of AI-driven traffic goes undetected, that’s 30% of crawls that never get billed, resulting in direct revenue loss. Worse, undetected malicious scrapers extract content without paying at all, stealing what should be a measurable revenue stream.
• Ad revenue erosion: When bot traffic inflates your analytics, advertisers lose trust in your metrics. The result is lower CPMs, reduced ad spend, and revenue loss that compounds over time.

Detection failures don’t just cost you money. They also cost you trust, credibility, and a competitive position.

How detection unlocks AI traffic monetization 

Once you can detect and verify AI agents, you can charge them for access. Media organizations like Mansueto Ventures (Fast Company, Inc.) are already turning AI traffic into revenue streams through partnerships with TollBit and Skyfire—integrated directly with DataDome’s detection layer.

These integrations provide granular control over who gets access, allowing you to redirect approved AI bots to a branded paywall, customize pricing, and handle authorization and payments automatically.

For Mansueto Ventures, the publisher of Fast Company and Inc., monetizing AI traffic to its publications using DataDome and TollBit in tandem unlocked an entirely new revenue stream: