The UK horse racing betting brands AI recommends most, and what that means for operators
A deep dive into how ChatGPT recommends UK horse racing betting brands, why racing media takes such a large share of the conversation, and where the commercial implications sit.
TL;DR
- Bet365 leads UK horse racing AI recommendations at 11.7% of all brand mentions. William Hill is second at 4.8%.
- 41% of horse racing AI recommendations go to brands that aren’t operators. Racing media, form guides, tipsters, and comparison sites take a big share of the conversation.
- Racing Post is the top non-operator at 3.6%. Most non-operators in the top 10 earn affiliate commission, so their AI presence has direct commercial implications for operators.
- Beyond bet365 and William Hill, positions 3 to 12 are closely clustered. There’s room for brands to move up with the right approach.
Why this matters
A third of UK adults now use AI tools regularly. The heaviest users are 18 to 34, the same demographic most likely to open a new betting account.
When a customer asks ChatGPT which bookmaker to use for horse racing, the AI gives them a short list. That list is now the top of the funnel. The brands on it win the click. The brands that aren’t on it don’t exist to the customer.
We wanted to know which UK betting brands AI recommends most often in horse racing, and what the pattern tells us about where operators should focus. This piece is part of a wider study across two UK betting verticals. For our headline findings and methodology, see our UK betting AI visibility research. For our football findings specifically, see our football betting AI research.
What we measured
We ran 192 horse racing betting queries through ChatGPT across five collection dates over several weeks. The queries cover the commercial questions a UK customer actually asks: best horse racing betting sites, best bookmaker for Cheltenham, where to bet on the Grand National, and more specific niche questions scraped from Reddit.
For each answer, we logged every brand ChatGPT mentioned. We then calculated each brand’s share of all horse racing brand mentions.
That’s what the percentages in this piece refer to. When we say bet365 takes 11.7% of AI recommendations, we mean 11.7% of all brand mentions ChatGPT made across 192 horse racing queries and 5 weeks.
Bet365 leads a crowded chasing pack
Bet365 holds 11.7% of horse racing AI recommendations. It’s the clear leader, and it finished first in every week we collected data. Behind it, positions 2 to 12 are closely packed, with most brands separated by less than half a percentage point.
The top 12 brands look like this:
- bet365 (11.7%)
- William Hill (4.8%)
- Paddy Power (4.5%)
- Betfred (4.1%)
- Ladbrokes (4.1%)
- Racing Post (3.6%)
- Betfair (3.2%)
- BoyleSports (3.2%)
- Sky Bet (2.6%)
- Coral (2.6%)
- myracing (2.1%)
- BetVictor (1.7%)
Two details in the table are worth flagging for anyone running a multi-sport brand.
BoyleSports sits at #8, level with Betfair, and AI consistently positions it as a horse racing specialist in its responses. In other UK betting verticals, including football, BoyleSports doesn’t make the top 10. Sky Bet shows the opposite pattern. In racing, it sits at #9, below both Racing Post and BoyleSports. In football, it sits inside the top 6.
The brand hierarchy shifts vertically. A brand that’s strong in one sport isn’t automatically strong in another, and for any operator with a mixed portfolio, that’s a signal worth reading.
Non-operators take 41% of the conversation
In horse racing, 59% of AI recommendations go to operators. 41% go to non-operators. That’s a much bigger share of the conversation than non-operators tend to hold in other commercial verticals, and it has real implications for how operators think about their AI distribution.
The non-operators are racing media, form guides, tipsters, and comparison sites. Here’s the top 10:
- Racing Post (3.6%)
- myracing (2.1%)
- Timeform (1.7%)
- OLBG (1.4%)
- Tipstrr (1.4%)
- At The Races (1.3%)
- Sporting Life (1.3%)
- Oddschecker (1.3%)
- HorseRacing.net (1.2%)
- Tipman Premium Racing (1.1%)
That’s a deep field of non-operator brands with genuine AI presence. Some are editorial publications. Some are form analysis tools. Several are affiliate-driven sites that earn commission when they send a customer to a bookmaker.
Racing Post, and what the affiliate angle means for operators
Racing Post sits at 3.6%, ahead of Betfair, BoyleSports, Sky Bet, and Coral.
That ranking makes Racing Post a more likely AI recommendation than most individual operators. If a customer asks ChatGPT about horse racing betting, Racing Post is one of the brands AI is likely to name.
The important detail: Racing Post runs affiliate links. Most of the non-operators above are commercial relationships, not pure editorial coverage. When AI sends a customer to Racing Post, Racing Post can send that customer onward to an operator. Which operator depends on commercial arrangements between Racing Post and bookmakers.
For operators, that has a direct implication. The quality of your Racing Post placement, and of your placement on myracing, Oddschecker, Timeform, and similar sites, shapes whether AI’s recommendation translates into a new customer for you or for a competitor. It’s not earned media in the traditional sense. It’s commercial distribution through a channel that AI has anointed.
Specific questions surface a completely different set of brands
One more pattern worth flagging for racing marketers.
Broad commercial queries like “best horse racing betting sites” surface the mainstream operator brands: bet365, William Hill, Ladbrokes, Paddy Power, and similar names.
Niche queries surface a completely different set. Ask ChatGPT about “best each-way sniper tool” and the answer includes OddsMonkey, MatchedBets, and The Racing Forum. Ask about form analysis, and Timeform comes up. Ask about community discussion, and specialist forums appear.
These niche queries come from Reddit and similar communities. The volume per query is lower. But the intent is higher, and the competitive field is smaller. A specialist tool with strong AI presence on its niche queries can capture customers that mainstream operators never see.
If you only optimise your content for broad queries, you’re invisible for the long tail. And the long tail is where committed racing customers tend to live.
Three moves horse racing marketers should make this quarter
First, audit your AI presence across both query types. Broad commercial queries, which operators mostly focus on, and specific niche queries, which tools, tipsters, and communities mostly own. You want to know where you show up in each and what’s sitting above you.
Second, review your commercial relationships with the non-operator brands AI recommends. Racing Post, myracing, Oddschecker, Timeform, and the rest of the top 10 non-operators. If you’re an operator, these sites are part of your AI distribution whether you planned for it or not. How well you’re represented on them shapes your AI-to-acquisition conversion.
Third, track your horse racing AI share of voice weekly. The chasing pack is closely clustered, which means small content and placement changes can move your position. But you’ll only see the movement if you’re measuring it.
If you want to see where your brand sits in horse racing AI recommendations today, and what it would take to move up, get in touch. We’ll show you the numbers.
