Key insights
- OpenAI is targeting 1 billion weekly active users by end of 2025. At that scale, ChatGPT isn’t just an AI tool, it’s a distribution channel.
- AI advertising has already launched quietly in ChatGPT, placing sponsored content at the bottom of answers based on conversation context. The direction of travel is toward ads you can interrogate directly in the chat.
- 76% of sports fans remain anonymous to the organisations they follow. Rights holders without first-party fan data will have far less leverage when negotiating with AI distribution platforms.
- The organisations that will win AI distribution aren’t the ones with the biggest social following. They’re the ones with structured content, direct fan relationships, and first-party data that makes them valuable to surface.
- This isn’t a future trend. ChatGPT is currently one of the most-visited websites globally, and the shift to conversational AI as a primary content discovery channel is already underway.
Back in October, I wrote about ChatGPT becoming the next big distribution platform. Not a prediction, really more stating what was already obvious if you looked at the usage data and adoption curves.
OpenAI is aiming for 1 billion weekly active users by the year end. They’re not leaving the platform to find what they need, because they’re getting it served up right there in the conversation. Purchases, recommendations, information, all without opening another tab. So that’s not just a feature update, that’s a distribution model.
There was a recent announcement about ads in ChatGPT. AI advertising had a quiet launch with massive implications. The initial test places ads at the bottom of answers when there’s a relevant sponsored product or service based on your conversation. But we’re heading somewhere more significant: ads you can actually interrogate, asking the questions you need to make a purchase decision directly within the chat.
Attention follows platform adoption, and advertising follows attention
The logic is straightforward. When a platform captures sustained attention, advertising revenue isn’t far behind. Google proved it with search, Meta proved it with social, now ChatGPT’s doing it with conversational AI.
YouTube’s 2026 platform updates show the pattern clearly. Purchases baked directly into the app instead of external redirects, tools for creators to swap ad placements across their entire back catalogue, monetisation for vertical streaming. When you’ve got 200 billion daily views on Shorts alone, every interaction becomes a revenue opportunity. Keep users inside the ecosystem, monetise every touchpoint.
That’s not speculation about what ‘might’ work. That’s £55 billion contributed to US GDP and 490,000+ full-time jobs supported. Proven model, proven revenue.
ChatGPT’s AI advertising is following the exact same playbook. The difference? You’re not scrolling past ads between friend updates or searching through sponsored links. You’re having a conversation, and the platform’s monetising every query you make. It knows what you’re asking for before you’ve finished typing. That’s precision targeting without the creepy surveillance infrastructure that made social ads controversial.
Anthropic’s already responding. They’re adding interactive tools inside Claude that let users make changes in Asana or send messages in Slack directly from the conversation. Not groundbreaking on its own, OpenAI took similar initial steps with their App SDK. But the more interesting move is buried towards the bottom of their announcement: MCP Apps, which bring UI capabilities to LLMs. In simple terms, you can now create dynamic, visually appealing content directly in Claude. They’ve spotted the same opportunity: become the layer between users and information, and you control distribution.
The race is on. Not for better AI models anymore, but for distribution dominance.
What AI distribution means for sports content, fan engagement, and rights holders
Sports organisations have spent the last decade chasing audiences across fragmented platforms. YouTube one day, TikTok and Instagram the next. Each platform change meant rebuilding distribution from scratch.
AI platforms offer something different because they’re becoming the front door to all content. When someone asks ChatGPT “What happened in the Premier League this weekend?” or “Show me highlights from the ATP Finals,” the AI decides which sources to pull from, which clips to serve, and which data matters.
If your content isn’t in that conversation, you don’t exist. And unlike social algorithms you can’t really influence, AI distribution is about structured data, accessible content, and partnerships with the platforms themselves.
The Anonymous Fan Index data we recently released showed that 76% of sports fans remain anonymous to the organisations they follow. That’s a massive problem when distribution platforms are shifting. You can’t control what you can’t measure, and you can’t optimise what you don’t understand.
Rights holders who’ve built direct relationships with fans through captured first-party data, understood preferences, and personalised fan engagement loops will have leverage when negotiating with AI platforms. Those relationships are what make your content worth surfacing.
The AI curation problem for sports organisations
Distribution platforms don’t just deliver content. They decide what gets delivered.
AI platforms won’t fact-check the internet or prevent false narratives. But they will decide which sources to surface, how to frame answers, and what information gets priority. That’s curation. And when AI advertising revenue enters the equation, curation gets complicated.
Google’s faced this tension for years: organic results versus paid placement, editorial integrity versus revenue targets. Now imagine that same tension applied to conversational AI, where there’s no list of ten blue links, just one answer presented as definitive.
If ChatGPT’s serving ads from a sportswear brand, does a competing brand’s product get fair representation when someone asks “What are the best running shoes?” When Claude partners with enterprise clients, how does that affect which platforms it recommends for fan engagement?
For rights holders, this cuts both ways. AI platforms could surface your content to audiences who’d never have found it through traditional search. Or they could bury it beneath a competitor’s partnership deal. Unlike social algorithms, you won’t see the ranking factors. You’ll just see the traffic. Or the absence of it.
The opportunity is real. So is the dependency.
Build your fan engagement and data strategy for the platform shift now
This isn’t a 2027 trend to keep an eye on. It’s already happening. ChatGPT is currently the fourth most-visited website globally. Claude’s adoption within enterprise is accelerating. These platforms are where audiences are going for information, including sports content.
If you’re a rights holder, federation, or club, the question isn’t whether to engage with AI distribution. It’s whether you’ve structured your content, data, and audience relationships in a way that makes you valuable to these platforms.
Because when conversational AI becomes the primary way people access content, your website traffic metrics and social follower counts stop mattering. What matters is whether you’re in the conversation.
Ask yourself: if someone asks ChatGPT about your sport tomorrow, what does it say?
FAQs
The AI distribution war refers to the competition between platforms like ChatGPT, Claude, and Google Gemini to become the primary interface through which people access information and content. As these platforms attract billions of users, they’re also becoming the layer that decides which sources get surfaced, which content gets recommended, and which brands get visibility. For sports organisations, that’s a fundamental shift in how fans discover and engage with their content.
When someone asks an AI platform about last weekend’s results, a player’s injury status, or where to watch a game, the AI decides which sources to pull from. Sports organisations whose content is structured, accessible, and connected to direct fan relationships will be more valuable to surface than those relying on social reach alone. Fan engagement built on owned channels and first-party data becomes the competitive advantage in an AI-mediated distribution landscape.
Rights holders that have built direct fan relationships through first-party data are better positioned to negotiate with AI platforms, prove the value of their content, and maintain audience relationships even as distribution channels shift. The 76% of sports fans who remain anonymous to the organisations they follow represent a significant vulnerability: if AI platforms become the primary discovery channel, organisations without direct fan data have no fallback when algorithmic changes affect their visibility.
Three things matter most. First, build and protect direct fan relationships through owned channels and first-party data capture. Second, ensure your content is structured and accessible so AI platforms can surface it accurately. Third, treat AI distribution as a complement to owned audience strategy rather than a replacement: the organisations most at risk are those already entirely dependent on platforms they don’t control, whether that’s social media or, in future, AI.
AI advertising introduces a new dynamic to sports sponsorship because it creates a conversational context that traditional display advertising can’t match. Fans asking ChatGPT about their favourite sport could be served directly relevant sponsor messages in a format they can interrogate and engage with. For rights holders, that’s both an opportunity (new commercial inventory) and a threat (sponsors may reach fans directly without needing the rights holder as an intermediary). First-party data and owned audience relationships are the strongest hedge against disintermediation.
Download the Anonymous Fan Index + Ultimate Guide for 100 tactics to accelerate your data strategy and convert anonymous fans into a community you can work with.
