Your potential client just typed “best PSP for iGaming” into ChatGPT. Or Claude. Or Perplexity. They didn’t open Google. They didn’t scroll through ten blue links. They asked an AI — and got a short, confident list of providers.
Your company wasn’t on it. Your competitor was.
This isn’t a hypothetical scenario. It’s happening right now, thousands of times a day, across every B2B vertical. And our latest research shows that nearly half of the iGaming payments industry is completely invisible to the AI models that are rapidly replacing traditional search.
The Experiment: 42 Providers, 3 Queries, Zero Guesswork

At ICODA, we ran a straightforward test. We submitted three high-intent queries — the exact kind of questions a decision-maker asks when choosing a payment partner — to Claude AI (Opus 4.6) and tracked which providers appeared in the responses.
The queries:
- “What payment gateway for crypto casino”
- “Best PSP for iGaming”
- “Top iGaming payment providers 2026”
No prompt engineering. No context manipulation. Just natural questions, submitted the same way a real user would ask them.
We tracked 42 providers — from global giants to niche crypto gateways — and mapped every mention, every ranking position, every absence.
The Results Are Stark
Out of 42 tracked providers:
- 22 providers were mentioned at least once.
- 20 providers (48%) received zero mentions across all three queries.
- Only 1 provider — Nuvei — appeared in every single response.
Let that sink in. Nearly half of the industry’s payment providers simply don’t exist in AI-generated answers. For the decision-makers who now start their research with AI, these companies might as well not exist at all.
Mentioned by Claude (22 providers)
| # | Provider | “What payment gateway for crypto casino” | “Best PSP for iGaming” | “Top iGaming payment providers 2026” | Score |
|---|---|---|---|---|---|
| 1 | Nuvei | #8 | #1 | #1 | 3/3 |
| 2 | CoinsPaid | #1 | — | #11 | 2/3 |
| 3 | Paysafe | — | #2 | #2 | 2/3 |
| 4 | Worldpay | — | #3 | #3 | 2/3 |
| 5 | Checkout.com | — | #4 | #5 | 2/3 |
| 6 | Trustly | — | #5 | #4 | 2/3 |
| 7 | Mifinity | — | #6 | #6 | 2/3 |
| 8 | AstroPay | — | #7 | #7 | 2/3 |
| 9 | PayNearMe | — | #8 | #9 | 2/3 |
| 10 | Shift4 | — | #9 | #10 | 2/3 |
| 11 | NOWPayments | #2 | — | — | 1/3 |
| 12 | B2BinPay | #3 | — | — | 1/3 |
| 13 | CoinPayments | #4 | — | — | 1/3 |
| 14 | BitPay | #5 | — | — | 1/3 |
| 15 | Cryptomus | #6 | — | — | 1/3 |
| 16 | CoinGate | #7 | — | — | 1/3 |
| 17 | MoonPay | #9 | — | — | 1/3 |
| 18 | Triple-A | #10 | — | — | 1/3 |
| 19 | Crypto.com | #11 | — | — | 1/3 |
| 20 | Payabl. | — | #10 | — | 1/3 |
| 21 | Neosurf | — | — | #8 | 1/3 |
| 22 | Interac | — | — | #12 | 1/3 |
Not Mentioned by Claude (20 providers)
| # | Provider | “What payment gateway for crypto casino” | “Best PSP for iGaming” | “Top iGaming payment providers 2026” | Score |
|---|---|---|---|---|---|
| 23 | ALPPAY | — | — | — | 0/3 |
| 24 | BVNK | — | — | — | 0/3 |
| 25 | Coinremitter | — | — | — | 0/3 |
| 26 | Corefy | — | — | — | 0/3 |
| 27 | CryptoPay | — | — | — | 0/3 |
| 28 | Cryptonix | — | — | — | 0/3 |
| 29 | Devcode | — | — | — | 0/3 |
| 30 | EveryMatrix | — | — | — | 0/3 |
| 31 | Finera | — | — | — | 0/3 |
| 32 | Fluid Payments | — | — | — | 0/3 |
| 33 | GatewayCrypto | — | — | — | 0/3 |
| 34 | IXOPAY | — | — | — | 0/3 |
| 35 | Inpay | — | — | — | 0/3 |
| 36 | Pavilion Payments | — | — | — | 0/3 |
| 37 | PayRam | — | — | — | 0/3 |
| 38 | Payment Asia | — | — | — | 0/3 |
| 39 | Payhound | — | — | — | 0/3 |
| 40 | TransFi | — | — | — | 0/3 |
| 41 | Verifone | — | — | — | 0/3 |
| 42 | Volt | — | — | — | 0/3 |
Who’s Winning the AI Visibility Race?
The undisputed leader: Nuvei. It was the only company that Claude recommended consistently across all three queries — ranking #1 in both the “best PSP” and “top providers 2026” prompts. Whatever Nuvei is doing in terms of digital presence, content strategy, and brand authority, it’s translating directly into AI recommendations.
The strong contenders (appearing in 2 out of 3 queries) include Paysafe, Worldpay, Checkout.com, Trustly, Mifinity, AstroPay, PayNearMe, Shift4, and CoinsPaid. These brands have enough digital footprint to surface in most AI conversations — but not all of them. Inconsistency means missed opportunities.
The one-hit wonders (mentioned once) tell an interesting story. Companies like NOWPayments, B2BinPay, and BitPay appeared only in the crypto-specific query but vanished from broader iGaming searches. Others like Neosurf and Interac showed up only in the “top providers 2026” list. Their visibility is narrow and fragile.
And then there are the invisible 20. BVNK, Corefy, EveryMatrix, IXOPAY, Verifone, Volt — and 14 others — received zero AI mentions. These aren’t small or irrelevant companies. Many of them are well-established players with real market share. But in the AI layer of the internet, they’re ghosts.
Why Should You Care? Because the Search Paradigm Has Already Shifted
Here’s the uncomfortable truth that most marketing teams in crypto and iGaming haven’t fully internalized yet.
People are no longer “searching.” They’re asking.
When a CFO at an online casino asks an AI “what’s the best payment processor for my iGaming platform,” they get a single, curated answer — not a page of links to browse. There’s no page two. There’s no “let me scroll past the ads.” There’s just the answer. And if your brand isn’t in that answer, you never had a chance.
This shift is already measurable. According to industry data, AI-powered answer engines are cannibalizing traditional search traffic at an accelerating rate. Gartner predicted that traditional search volume would drop 25% by 2026 due to AI chatbots and virtual agents. We’re now living in that prediction.
Why Traditional SEO Is Losing Its Edge
For the past two decades, the playbook was clear: rank on Google, get traffic, convert leads. And it worked. But here’s what’s changing.
AI doesn’t rank pages. It ranks brands.
Google’s algorithm evaluates web pages — their backlinks, their keyword density, their loading speed. AI models evaluate something fundamentally different: brand authority across the entire internet. They synthesize information from documentation, news coverage, technical mentions, community discussions, and authoritative references to form a recommendation.
This means your perfectly optimized landing page with a 98 PageSpeed score might not matter if the AI has never “learned” about your brand from authoritative, diverse sources.
There’s no “position #4” in an AI answer.
In Google, ranking fourth still gets you clicks. In an AI response, there are typically 5–8 recommendations total. If you’re not in that short list, you’re nowhere. And unlike Google, you can’t pay for an ad spot in Claude’s response. You either earned your way in, or you didn’t.
AI answers are self-reinforcing.
When an AI recommends a provider to hundreds of thousands of users, those users explore that provider, create more content about them, generate more online mentions — which in turn trains the next version of the AI to recommend them even more strongly. The brands that are visible today will become more visible tomorrow. The brands that are invisible today are falling further behind with every conversation.
What Determines Whether AI Recommends Your Brand?
This is the million-dollar question, and the answer is what we at ICODA call Generative Engine Optimization (GEO). It’s a fundamentally different discipline from traditional SEO, though it shares some DNA.
AI models tend to recommend brands that have:
- Consistent, authoritative mentions across diverse sources (not just your own website)
- Strong presence in technical documentation and industry reports — AI models weigh expert content heavily
- Active coverage in trusted media — press mentions, analyst reports, and industry publications carry outsized influence
- Clear, unambiguous brand positioning — AI needs to understand what you do and who you serve to recommend you in context
- Broad digital footprint beyond your website — community mentions, conference appearances, partnership announcements, and integration documentation all contribute
What doesn’t help much? Keyword stuffing, link-building schemes, or pumping out low-quality blog posts. AI models are remarkably good at distinguishing genuine authority from manufactured visibility.
The FOMO Is Real — and It’s Rational
Let’s be clear about what’s at stake.
If you’re a payment provider serving iGaming and you weren’t in our audit, every AI query for “best iGaming PSP” is routing potential clients to your competitors. That’s not a theoretical future threat — it’s happening today, at scale.
And the window is closing. As AI models become more entrenched in decision-making workflows, the gap between “visible” and “invisible” brands will widen. The leaders will compound their advantage. The laggards will find it increasingly expensive to break in.
Consider the numbers: if even 20% of B2B purchase research starts with an AI query (a conservative estimate for 2026), and your brand is absent from those responses, you’re losing one in five potential leads before they even know you exist. Not because your product is inferior. Not because your pricing is uncompetitive. Simply because the AI didn’t mention you.
What You Can Do About It
The good news is that AI visibility isn’t mysterious or random. It’s the result of specific, measurable signals that can be influenced through strategic action.
At ICODA, we’ve developed an approach to GEO (Generative Engine Optimization) specifically tailored for crypto, iGaming, and fintech brands — the industries where AI-driven discovery is accelerating fastest.
Our AI Visibility Audits (like the one that produced this article’s data) give you a clear, data-driven picture of where your brand stands in AI-generated recommendations, which competitors are ahead of you, and what specific signals are driving the difference.
From there, we build and execute strategies designed to increase your brand’s presence in the training data and real-time retrieval systems that power AI recommendations.
The Bottom Line
48% of iGaming payment providers are invisible to AI. That number will only grow as AI models become more selective and authoritative sources become more concentrated.
The question isn’t whether AI visibility matters for your business. The question is whether you’ll act before your competitors lock in their advantage.

Frequently Asked Questions (FAQ)
AI visibility is how often AI tools like ChatGPT and Claude recommend your brand. As more buyers use AI instead of Google for research, brands missing from AI answers lose leads to competitors who are visible.
AI models recommend brands based on authority signals: consistent mentions across trusted sources, strong technical documentation, media coverage, and clear brand positioning — not traditional SEO factors like backlinks or keyword density.
GEO optimizes your brand’s presence in AI-generated answers, not just search rankings. Agencies like ICODA use GEO strategies to ensure AI models recognize and recommend your brand when users ask high-intent questions.
Yes. Improving AI visibility requires building authority through expert content, industry reports, technical integrations, PR in trusted media, and consistent brand mentions across diverse platforms — signals AI models weigh heavily.
AI gives users a short list of 5–8 recommendations with no page two. If your iGaming or crypto brand isn’t mentioned, you lose potential leads before prospects even visit your site — making AI visibility a direct revenue factor.
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