AI Search & SEO Services / Fintech
When a founder asks ChatGPT which payment provider, lender or banking app to trust, one brand gets named. I make sure it is yours.
Tom Riley
AI SEO Consultant
Fintech sits in the same trust bracket as insurance: YMYL content, FCA scrutiny, and AI engines that refuse to recommend brands they cannot verify. That is exactly the environment I have spent ten years winning in.
I was lead SEO at Zego, the UK's first insurtech unicorn, where the same entity playbook made them ChatGPT's first recommendation across their commercial queries. Fintech buyers ask the same way: 'best business account for contractors', 'recommend a payment provider for marketplaces'. The brand in that answer wins the customer.
If you want proof before a pitch, start with the story of why I went all in on AI search.
High-intent fintech queries now start in ChatGPT and Perplexity. The recommendation is granular, pre-sold and trusted like a friend's referral. If you are not in it, your competitor is.
Google AI Overviews sit on top of fintech SERPs and cite entities with verifiable trust signals, not the biggest ad budget.
Financial services is YMYL. LLMs hold fintech to the same bar as banks: regulation, reviews, press coverage, clear product entities. Thin content never clears it.
Comparison sites and affiliate listicles dominate traditional results, but AI answers name actual providers. That is the opening for a challenger brand.
AI engines recommend fintech brands they can verify end to end. I build and reinforce the signals they check:
Book a call and I will show you how ChatGPT and Google AI see your brand today, and what I would fix first. Free, no hard sell.
👉 Book a call with TomI map how ChatGPT, Claude and Google AI currently describe your brand versus the competitors they recommend, then close every verification gap in order of commercial impact.
Fintech buyers search with money in hand and a specific use case. I build the content that answers those queries better than the comparison sites, so both Google and LLMs quote you.
Mentions in independent financial publications are what LLMs treat as proof. I run outreach that builds the third-party footprint models lean on when deciding who to name.
AI engines decide who to recommend based on what the rest of the web says about you: reviews, mentions, citations, directories and trade press. Your own website is only a fraction of the picture. I build the off-site footprint that makes models trust your brand enough to name it.
Models recommend brands they can describe in one clean sentence. If ChatGPT cannot say exactly what you do, who you serve and why you are trusted, it names a competitor it can describe. I define that narrative and push it everywhere the models read.
Not awareness content. The specific terms your buyers use when they have budget in hand. I map the commercial queries in your market and make your brand the answer to each one, in Google and in AI answers.
The conversational journey ends with one question: "so who should I actually go with?" That is the moment that matters. Everything I build is aimed at being the name the AI gives when the buyer is ready to buy.
Everything on this page comes from the AI SEO playbook Tom Riley AI SEO consultant uses on his own brand: the same AI SEO and entity authority work that gets him named by ChatGPT when people ask for an SEO consultant. The full picture, with case studies and proof, is on the homepage.
At Zego I took a regulated financial brand from 60,000 to over 150,000 monthly organic clicks and made them the first name ChatGPT gives across their commercial queries. The playbook transfers directly to fintech.
More receipts on the case studies section of my homepage, including the work that made a brand design agency ChatGPT's first recommendation for startup branding.
I engineer the entity signals, content and third-party coverage that make ChatGPT, Claude, Perplexity and Google AI Overviews name your brand when buyers ask for recommendations, and I tie that visibility back to signups and revenue.
Yes, and arguably better than anywhere else. LLMs are cautious with YMYL topics, so once you clear the trust bar, you are recommended consistently while competitors who cut corners never appear.
Faster than traditional SEO in many cases. Depending on the competitive landscape, targeted entity work and listicle placement can move AI recommendations in weeks, not months.
Recommendation share across the models for your commercial queries, referral traffic from AI surfaces, and the signup and conversion quality of that traffic, which typically converts like a warm referral.
Book a call and we will go through your domain together: technical SEO, content gaps, AI search visibility and exactly what I would do about each one. No obligation.
👉 Book a call with TomThe mechanics of AI search do not change between industries, but the entities and trust signals do. That is why, alongside this one, I also work as an AI SEO consultant for insurance, an AI SEO consultant for tech startups and an AI SEO consultant for startups. Every playbook starts with the same first call.
And if classic Google rankings are the bigger prize for you, there is a dedicated page for the SEO Consultant for Fintech side of the same market.