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Case Study

How Coinflow turned AI search into its 3rd highest inbound lead channel, in only 90 days.

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John Thomas Lang - Head of Marketing at Coinflow

John Thomas Lang - Head of Marketing at Coinflow

John Thomas Lang - Head of Marketing at Coinflow

Yolando x Coinflow Logo
Yolando x Coinflow Logo

TLDR;

A B2B payment infrastructure company used AI visibility tracking and a high-velocity content managed service team at Yolando to surface two of its best performing lead channels, and earn 671 citations across four LLM platforms in only 90 days.

Results at a glance:

  • 91 leads combined from Organic Search and LLMs, visible with new attribution tracking

  • 671 AI citations earned across 23 Coinflow URLs

  • 8.4% increase for AI visibility in Gaming & Digital Goods, up from 1.9%

  • 25% month-over-month growth in organic brand clicks

  • 15 new SEO GEO optimized content pieces published

TLDR;

A B2B payment infrastructure company used AI visibility tracking and a high-velocity content managed service team at Yolando to surface two of its best performing lead channels, and earn 671 citations across four LLM platforms in only 90 days.

Results at a glance:

  • 91 leads combined from Organic Search and LLMs, visible with new attribution tracking

  • 671 AI citations earned across 23 Coinflow URLs

  • 8.4% increase for AI visibility in Gaming & Digital Goods, up from 1.9%

  • 25% month-over-month growth in organic brand clicks

  • 15 new SEO GEO optimized content pieces published

An all-too-common story, Coinflow was struggling to understand how prospects were discovering the next-generation payments provider.When inbound leads arrived through organic search or AI-generated answers, this traffic was categorized as Unassigned and got lost in the mix. The leads were real. The growth was real. Coinflow simply had no way to see the work LLMs were doing to drive this traffic.  

The team started leveraging Yolando's platform and managed service team. Together, they sorted out LLM leads that were previously mixed in with Organic Search or the Unassigned channel in Google Analytics reporting. Breaking LLM out into its own channel let everyone see clearly the impact AI traffic was having on Coinflow's growth. With first-party data flowing, Organic Search ranked first and LLM traffic ranked third by lead volume. Combined, they accounted for 91 leads—more than any of Coinflow's existing marketing campaigns.

Coinflow builds payment infrastructure for businesses that move money at scale: gaming platforms, ISVs, marketplaces, payroll providers, and cross-border operators. Their buyers are technical and skeptical. They research deeply before they ever fill out a form. That research increasingly happens within AI assistants, and Coinflow's content was starting to appear in those answers.

The question wasn't whether AI search was driving demand. It was whether Coinflow could see it, measure it, and compound it deliberately.

Why B2B buyers research using AI before they ever visit a your brand site

"B2B payments buyers don't fill out a form until they've done weeks of research, and that research is happening inside AI tools like ChatGPT. If you're not in the answer, you're not in consideration. Yolando gave us a system to see which prompts we were missing, ship content against them, and watch it earn citations within weeks."

— John Thomas Lang, Head of Marketing at Coinflow

Enterprise payment infrastructure is a considered purchase. Nobody buys a PSP integration on impulse. The teams responsible for this decision are engineering leads, CTOs, and fintech founders that spend weeks comparing options, reading documentation, and asking questions like "What are the best gaming payment solutions for 2026?" or "How do I prevent chargebacks in a digital goods marketplace?" before they talk to anyone on your sales team.

For years, that research happened on Google search. Organic rankings and domain authority were the proxies for trust. If you ranked well, you were credible. If you didn't, you weren't in consideration.

That model still matters. But it's no longer the whole game. Even the most complex product research is migrating to ChatGPT, Perplexity, Gemini, and Claude. These platforms synthesize answers rather than return blue links. When an AI assistant answers "What are the top gaming payment solutions?" It shortlists three or four providers. If Coinflow isn't one of them, no amount of Google ranking will help them for AI visibility.

Working with Yolando to publish 15 pieces of SEO and GEO optimized content in April alone, combined with Coinflow existing high-performing content earning AI citations. In tandem with better channel attribution tracking, they could see how many, where, or what was driving LLM leads.

Why AI visibility is a compounding asset for any industry, not a one-time campaign

AI citation is not a paid channel. There's no auction. There's no CPM. What earns a citation is a piece of content that LLMs treat as authoritative on a specific question. Once a page earns that status, it compounds: more citations build brand familiarity, brand familiarity drives branded search, and branded search brings in the most cost-efficient lead a B2B company can acquire. This is for any industry. 

The chain is straightforward:

  1. AI citations create brand recognition in a buyer's research process

  2. Brand recognition drives branded organic search

  3. Brand search typically delivers the highest-intent, lowest-cost leads

For Coinflow, that chain was already running. The Gaming & Digital Goods vertical showed the clearest proof: Coinflow's AI visibility in this category climbed 8.4% (1.9% to 9.2%) over only 90 days, driven by optimized content earning citations at scale. 

The single most-cited piece, "Top Gaming Payment Solutions for 2026," earned 376 citations on its own, for nearly half of the 671 total earned across all 23 cited URLs.

That's not a traffic spike. That's a citation asset that keeps earning LLM trust.

"We see many of our earned AI citations continue to compound. One piece of content driving 376 citations in just 90 days was incredible for our team. It’s an asset that keeps working. With Yolando, we're building a citation portfolio in PSP categories before competitors even know the category exists."

— John Thomas Lang, Head of Marketing at Coinflow

B2B buyer AI research isn't specific to gaming

The same dynamic plays out in any B2B category where buyers research deeply before they engage. Payroll operators evaluating contractor payout infrastructure, fintech builders looking for embedded payment partners, marketplace platforms comparing multi-party settlement options, they're all doing the same high-consideration research, increasingly in AI assistants. Coinflow's Gaming results demonstrated that a focused content engine can move AI visibility by 5x in 90 days. The same approach applies to any vertical where the questions are specific and the competition for answers is low.

Coinflow's data makes this visible: five of their eight target PSP verticals currently sit at less than 0.5% AI visibility. Remittances & Cross-Border, Payroll & Contractor Payouts, and Fintech & Embedded Payments are all below 0.3% while competitors like Stripe, Adyen, and Airwallex already saturate the answer space in those categories. That's not a threat. That's an opening.

From AI prompts to published content in less than a week

The operational question in AI visibility is always the same: how do you close the gap between knowing which prompts you're missing and having a piece of content live that earns the citation? For most teams, that gap is weeks or months. For Coinflow, with Yolando's content recommendations and production workflow, it compressed to days.

The process was systematic. Yolando's tracking across four AI platforms Claude, Gemini, Perplexity, and OpenAI/GPT identified which PSP verticals had the highest prompt volume and the lowest Coinflow share. Those gaps became the content calendar. Each piece followed a proven structural pattern: clear authorship, structured FAQs mapped to real buyer questions, authority signals AI assistants recognize.

The output speaks to the pace. In April 2026 alone, Coinflow published 15 SEO-optimized pieces against a full-quarter target of 12, already exceeding the benchmark with two months of the quarter remaining. Domain Authority moved from 24 to 25 in the same period, on a trajectory toward the end-of-quarter target of 28. Brand organic clicks grew 25% month-over-month.

Content published in April is still indexing. The citations it earns in May and June haven't been counted yet.

What's next for Coinflow

Gaming & Digital Goods proved the engine works. The 90-day focus for the next quarter is applying the same engine to the five PSP verticals that are currently invisible in AI search: Payroll & Contractor Payouts, Remittances & Cross-Border, Fintech & Embedded Payments, Marketplaces & Multi-Party, and ISV Embedded.

Eighteen net-new content pieces are planned over the next 90 days, following the same formula that drove 376 citations from a single gaming post. That's where a handful of well-structured, AI-optimized pieces can move visibility from zero to meaningful in a single content cycle.

Every citation Coinflow earns now compounds. The brands that own the AI answer space in PSP verticals before category saturation sets in will set a floor competitors spend years trying to reach.

Want to find out which AI prompts in your category you're missing and which ones you're already winning? Yolando can show you. Book a demo today.


Company: Coinflow

Content: Case Study

Industry: B2B Payment Infrastructure / PSP

Focus vertical: Gaming & Digital Goods (8 PSP verticals tracked)

Engagement period: February 1 – May 1, 2026 (90 days)

AI platforms tracked: Claude, Gemini, Perplexity, OpenAI/GPT

Yolando products: AI Visibility tracking, content strategy, GEO-optimized content production


FAQs

1. How long does it take to see results from AI visibility work?

1. How long does it take to see results from AI visibility work?

2. How is AI visibility different from traditional SEO?

3. What kind of content earns AI citations?

4. Would this approach work for B2B SaaS companies in other industries?

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