How AI Search Is Changing Player Acquisition for iGaming
Back in early 2024, Gartner made a prediction that got quoted everywhere: traditional search volume could fall by 25% by 2026 as AI chatbots pull queries away from the old ten-blue-links model. Gartner later clarified the figure was a scenario, not a hard forecast, and arguing over the exact percentage misses the point. The direction is what matters, and the direction isn’t really in dispute.
For most industries, that’s a marketing adjustment. For iGaming, where paid advertising is already restricted across much of the regulated world and organic discovery carries a lot of the load, it’s closer to a shift in how a player finds an operator in the first place.
So it’s worth slowing down and asking what actually changes and what an operator can do about it before the gap widens.
What AI Search Actually Changes for Player Acquisition
Think about how a player used to find a casino. They’d type “best slots site UK” into Google, scan a few comparison sites, click through, and eventually pick somewhere to deposit. That journey had several points where a brand could step in front of demand: the ad slot, the affiliate listing, the review page, the organic ranking.
AI search compresses most of that into one answer. The player asks ChatGPT, Perplexity, or Google’s AI Overview which casino suits them, and the model hands back a short, confident recommendation. Often with no comparison step. Sometimes with no click at all.
That reframes the whole acquisition question. It’s no longer only “how do we rank?” It’s becoming “are we even in the answer?” – and if you are, “is the answer accurate?”
The Affiliate Funnel Is Being Quietly Rerouted
The affiliate model exists for one reason: players need help navigating a complicated, fragmented market, and affiliates monetise that confusion. AI happens to be very good at navigating complicated markets. That’s the uncomfortable overlap.
We’ve watched the pattern play out elsewhere. A medical AI tool, OpenEvidence, reports adoption by a large share of practising US physicians, and it works by answering the clinical question directly instead of sending people off to compare sources. Something similar is starting in gambling. A Malta-listed company launched marvn.ai in late 2025, described as a conversational search engine built for casino players, drawing on a database the company says covers more than 600 brands. It’s positioned as an advisor, not a comparison page the comparing is done for you.
If a real share of players stop clicking through review pages because a tool answers them directly, part of affiliate-driven acquisition gets rerouted before it ever reaches the operator.
Affiliates aren’t going away. But commentators tracking the sector through 2024 and 2025 have flagged softening CPAs, layoffs at large affiliate groups, and pressure from Google’s site-reputation updates. The operators treating 2026 like 2022 – churning cheap boilerplate to chase rankings are the most exposed. The ones holding up are spreading into channels AI can’t easily disintermediate.
Why Your SEO Playbook May Not Carry Over
Here’s the trap a lot of teams fall into: assuming that strong SEO automatically buys AI visibility. The evidence says it often doesn’t.
Ranking and Being Cited Are Two Different Games
Ahrefs research, cited by eMarketer, found that only around 8% of ChatGPT citations and 8.6% of Gemini citations came from URLs ranking in Google’s top ten for the same query. Put plainly: most high-ranking organic pages simply didn’t show up when the AI answered the same prompt.
So you can win the old game and lose the new one at the same time. Position and citation are now largely separate outcomes, with separate rules.
What GEO Actually Rewards
Generative Engine Optimisation – GEO, the term that’s stuck is the discipline forming around the second game. Where SEO optimises for position, GEO optimises for inclusion: getting a brand recognised, summarised, and cited accurately by a model that’s building an answer rather than ranking a list.
The signals shift accordingly. Structured data. Factual precision. A coherent picture of what your brand is, so the model can retrieve it with confidence. For an operator, that tends to elevate the boring, trust-heavy content, licensing, withdrawal times, bonus terms, responsible gambling policies because that’s exactly what an AI tends to check before it’s comfortable naming a brand.
The operator with clean, verifiable trust information is easier for a cautious model to reference. The one that buried it three clicks deep is easier to skip. None of this guarantees inclusion — these systems are opaque and change often but it improves the odds.
The Regulatory Complication Nobody Planned For
This is where iGaming diverges sharply from every other industry chasing AI visibility, and where it gets genuinely thorny.
A cross-European investigation reported by iGaming Business in March 2026 tested 30 prompts across ten countries and found major chatbots repeatedly surfacing unlicensed casinos. According to that reporting, Meta AI recommended an unlicensed operator in 27 responses, Gemini in 26, and ChatGPT in 22 – with several of the sites sitting on national regulators’ blacklists. The same coverage noted that when prompted about avoiding self-exclusion schemes, the models sometimes complied. The OECD logged a related concern as an AI incident around the same time.
For a licensed operator, that creates a bind. If models absorb and repeat the aggressive marketing some loosely-regulated brands produce, the operators playing by the rules can find themselves out-surfaced by the ones that aren’t. And the scrutiny now building around AI-driven gambling recommendations is likely to land hardest on the legal market, because that’s the part regulators can actually reach.
The takeaway: any plan built on AI visibility should assume the rules may tighten, possibly in ways that restrict how gambling brands can appear in generated answers at all. The goal isn’t simply “get cited more.” It’s “get cited accurately, in a way that holds up under the compliance scrutiny coming for this exact channel.”
What This Could Mean for Your Acquisition Plan
A few practical moves stand out for the next two or three quarters. Treat them as directional, not guarantees. AI search moves fast enough that any single tactic has a short shelf life.
Start by auditing your AI visibility the way you’d audit rankings. Run the prompts a real player would use across the major engines and check whether you appear, how you’re described, and whether the description is even correct. Many operators have never looked, and some find themselves invisible or worse – misrepresented.
Then treat trust and compliance information as acquisition infrastructure, not just legal text. Clean, structured, verifiable data on licensing and player protection is what tends to earn a model’s confidence to reference you. It also keeps you on the right side of the regulators watching this space.
Avoid leaning on affiliate and organic as your entire acquisition engine. The operators adapting best are diversifying into channels AI can’t easily intermediate creators, community, and brand built on reputation rather than rented ranking. Slower to scale, which is partly why they hold up when the search layer shifts.
And build for measurement now, because attribution is getting murkier. When a player arrives having already been “advised” by an AI they never clicked through, last-touch data tells you almost nothing about what actually drove the acquisition.
The Bottom Line for iGaming Brands
None of this means the old discipline stops mattering. Rankings, affiliates, and paid channels still bring players through the door. What’s changed is that a new door has opened beside them, and it’s one most operators haven’t even checked yet.
The shift rewards a particular kind of brand. Not the one shouting loudest, but the one a cautious system trusts enough to name clearly licensed, transparent about how it treats players, and easy for a machine to understand and verify. That happens to describe a well-run operator anyway. The brands that take their trust signals seriously aren’t just protecting themselves from regulators; they’re positioning themselves to be the answer when a player asks an AI where to play.
For everyone else, the risk isn’t dramatic. It’s quiet. A slow erosion of the demand that used to arrive on its own, rerouted to whoever the model decided to mention first. The operators who treat AI search as a problem for next year are likely to spend next year wondering where their traffic went.
So the work is straightforward, even if it isn’t easy. Find out how you appear in AI answers today. Fix what’s wrong. Tighten the trust signals that make a model comfortable referencing you. And stop assuming the channel that built your business is the one that will keep it growing. The brands that adapt early won’t just survive this transition they’ll quietly take share from the ones that waited.
Frequently Asked Questions
What is AI search, and how is it different from regular search?
Regular search returns a list of links you scroll through and click. AI search through tools like ChatGPT, Perplexity, and Google’s AI Overviews reads across many sources and hands back a single, direct answer. For a player, that often means a recommendation without ever visiting a comparison site.
Is SEO still worth doing for iGaming brands in 2026?
Yes, but it’s no longer the whole job. Strong rankings still matter for traditional search traffic, but research suggests well under 10% of AI citations come from pages ranking in Google’s top ten. Being found by AI is a separate discipline (GEO) that runs alongside SEO rather than replacing it.
What is GEO, and how is it different from SEO?
GEO – Generative Engine Optimisation is about getting your brand recognised and cited inside AI-generated answers. SEO targets a ranked position and measures clicks. GEO targets inclusion in the answer itself and leans heavily on structured data, factual accuracy, and clear, trustworthy information about your brand.
Will AI search kill the iGaming affiliate model?
Not kill, but reshape. If players get direct answers from AI instead of clicking through comparison pages, some affiliate-driven traffic gets rerouted. Affiliates focused on genuine quality, depth, and multi-channel presence are far better positioned than those relying on thin, templated content.
Why is AI search riskier for gambling brands than for other industries?
Because AI tools have been shown to recommend unlicensed and even blacklisted casinos, and regulators are paying close attention. Licensed operators can be out-surfaced by rule-breakers, and the compliance scrutiny that follows tends to fall hardest on the legal market. Accuracy and licensing transparency matter more here than almost anywhere else.
What’s the first thing an operator should do about all this?
Run an AI visibility audit. Ask the major AI engines the questions a real player would ask, and see whether you appear, how you’re described, and whether it’s correct. You can’t fix a gap or a misrepresentation you haven’t measured yet.
