If you’re a marketing leader at a fintech or financial services firm, you likely spent years and significant budget optimizing for one specific digital surface: the Google search results page.
But the reality is that the goalposts have moved. Today, your prospects aren't just typing keywords into a search bar; they’re asking ChatGPT for a list of the best embedded payment providers, or prodding Claude to compare your fee structure against three of your competitors. Most buyers use both Google and LLMs – according to SEMRush research, 77% use AI and traditional search together.
If you aren't visible in those AI responses, it doesn't matter how high you rank on page one of Google: you're losing potential customers at the exact moment they are looking for a solution.
In this article, we'll walk through the current landscape of AI tools for fintech companies and introduce a framework that actually helps you influence how these AI models recommend your brand. The same playbook applies to SaaS, healthcare, and e-commerce teams, but fintech has the clearest commercial upside.
Note: Mint Studios is a content marketing agency that helps fintech and financial services companies turn content into measurable pipeline via SEO and LLMs. Book a call with Mint Studios if you want to learn about how to grow your LLM visibility.
Why there’s a unique opportunity for fintech companies to optimize for LLMs
In spaces like card issuing, cross-border payments, or KYC compliance, your prospects aren't making impulse buys. They are navigating six-to-twelve-month sales cycles involving multiple stakeholders, from compliance officers to CTOs at financial institutions.
Because the subject matter is so dense, these buyers consume a significant amount of content before they ever pick up the phone. They are constantly on Google and AI platforms trying to untangle how a specific API works or which vendor has the best regulatory coverage in a specific region. They want actionable insights, not marketing fluff.
This creates a massive opportunity for fintechs that can simplify their expertise. AI systems are "lazy"; they gravitate toward the most succinct, authoritative answer they can find. If your financial products are buried in 40-page PDFs, the model will skip you in favor of a brand that offers high-quality, scannable summaries.
By being visible in AI answers, you aren't just getting a mention. You are hitting prospects during the high-intent research phase when they are actively vetting solutions.
If you aren't there when a CFO asks ChatGPT to benchmark your infrastructure against a competitor, you are effectively invisible to the most valuable segment of your audience during their most critical decision-making moments.
Read more: Want LLMs to Recommend Your Brand? Here's What We've Found Works: GPT Articles
Top 7 AI visibility tools to track your fintech brand
Peec.ai
Peec is an analytics-heavy tool that offers flexibility in which specific AI models you choose to track. It is a practical choice for global fintech brands operating in multiple languages.
- Selectable AI models: You can choose exactly which 3 models to track from a list of 7 options.
- Extensive language support: Supports tracking in over 115 languages.
- Clean analytics: Focuses on "share of voice" reporting to show your standing in the fintech category.
- Pricing: Starts at $95 per month.
We should note that Peec is the tool of choice for us here at Mint Studios; we aren't paid by them to say this, we simply found their UX to be the best for our workflows.
Profound
Profound is an enterprise-grade solution focused in high-frequency, real-time monitoring. It's a strong choice for fintech firms that have internal analyst teams who want access to raw, data-driven outputs.
- Prompt volume data: Shows the frequency of specific buyer questions, similar to keyword volume in traditional SEO.
- Agent-based workflows: Provides automated recommendations for content optimization powered by ai agents.
- High security standards: Offers SOC2 compliance, making it suitable for regulated financial environments.
- Pricing: Starts at $99 per month, though enterprise tiers can scale significantly higher.
Scrunch
Scrunch has evolved from an influencer platform into a powerful tool for fintech marketing strategy and brand perception. It is particularly strong at monitoring the "unstructured" data that AI models love.
- Cross-platform listening: Monitors brand mentions across social media, forums, and blogs that feed AI training sets.
- Authority scoring: Assigns a score to your brand’s perceived expertise in specific niches like banking services.
- Influencer alignment: Connects your brand with experts whose content is frequently cited by LLMs and AI assistants.
Otterly
Otterly is best for early-stage fintech startups that need a low-risk entry into Generative Engine Optimization (GEO). It focuses more on auditing your existing URLs than on content creation.
- GEO URL audits: Analyzes thousands of pages to see how well they are structured for AI citation.
- Looker Studio connector: Allows you to build custom dashboards to present to your leadership team.
- Multi-country support: Tracks visibility across 50+ countries, useful for cross-border payments marketing.
- Pricing: Starts at $29 per month.
Conductor
Conductor is an enterprise-grade platform that has integrated AI visibility into its vast suite. It is best for massive financial organizations with distributed marketing strategy teams.
- Enterprise governance: Structured workflows that manage legal review and distributed team requirements.
- Industry benchmarks: Provides massive datasets for benchmarking performance across the banking and insurance sectors.
- Unified dashboard: Integrates search, content, and AI visibility data at an enterprise scale.
- Pricing: Custom pricing only. Typically requires a significant enterprise commitment.
SEMrush AI visibility toolkit
Since many fintechs already use SEMrush for fintech SEO, their toolkit is an easy addition to existing workflows.
- AI Overview tracking: Monitors your performance within Google's Search Generative Experience (SGE) and AI Overviews.
- Question discovery: Helps you identify the exact questions prospects are asking so you can build compliance-aware content.
- Unified reporting: Keeps your traditional organic metrics and AI visibility data in one dashboard.
- Pricing: Starts at $199 per month.
ZipTie
ZipTie is the technician’s choice. It is built to analyze the data-retrieval journey, specifically showing you the "fragments" of your site that LLMs are reading.
- Bulk prompt auditing: Allows you to upload thousands of high-intent prompts to see your brand presence across the funnel.
- Retrieval analysis: Pinpoints the exact paragraphs from your website that AI models are "retrieving" to form answers.
- RAG analysis: Helps you understand the "Retrieval-Augmented Generation" process as it relates to your site.
- Pricing: Starts at $250 per month.
GPT articles: the framework we use to help fintech companies acquire customers with LLM visibility
Most GEO / AEO work is a waste of time if it isn't focused on the specific conversational queries where a prospect is clearly looking for a solution like yours. This is where the tools listed above come in: they allow you to truly see if your brand is appearing for your most important “money prompts.”
Unlike SEO, which is deterministic (you are either ranking or you aren't), AI visibility is probabilistic. You might appear in 30% or 70% of responses for a specific prompt. While reaching 100% is rare due to how models fluctuate, the goal is to appear with the highest percentage possible by directly influencing the model's training and retrieval data.
You’ll see a lot of people on social media saying that usual SEO strategies are enough to increase visibility on LLMs. In large part, they are right; we see a clear correlation between brands with a strong fintech SEO presence and high LLM visibility. However, we now know there are specific tactics that increase brand mentions in LLMs that have no impact on traditional SEO.
After testing everything from LLM.txt files to prompt injection, our findings mirrored the market meta-analysis: the most effective strategy by far is publishing "GPT articles."
A GPT article is a brand new article designed specifically to get LLMs to recommend your brand. Unlike a standard post on your blog, a GPT article answers one specific prompt directly.
For example, if we are tracking the topic of "Open banking API" we’ll create five separate GPT articles, each answering a different prompt the target audience would likely ask an AI.
These articles are shorter (500-1,000 words), succinct, and purely factual. They use technical structures that AI models favor,markdown tables, FAQs, and long, descriptive URL slugs,to ensure the bot retrieves your data as the primary answer.
Crucially, these are "human-in-the-loop" pieces. While they can be AI-assisted, pure AI-generated content often fails to get picked up due to "model collapse." We use a human strategist to create the outline based on a deep understanding the product and customer pain points.
We typically publish these as separate pages rather than on your main blog feed, using them as a "topic cluster" to inform the LLM. By pointing internal links from these GPT articles back to your cornerstone fintech case study pages, you demonstrate authority to the model while maintaining a high-quality experience for your human readers.
The real question is: does this help increase leads, customers and revenue?
The short answer is: yes. You can read more about how we found this here: Does increased LLM visibility lead to more customers? Here's what we found via 3 case studies
How we helped Fiska grow LLM visibility to 40%+
A strong domain doesn't guarantee AI visibility. One of our clients, Fiska, an embedded payments company ,had a solid SEO foundation but very low presence in AI responses.
When we started, their visibility score was only 5.8%. Our goal wasn't just to "rank"; it was to get LLMs to recommend them as a top solution. We shifted the focus away from traditional keywords and toward Bottom of the Funnel (BOFU) content structured specifically for LLMs.
The results were immediate. Within a few weeks of publishing these targeted pieces, their visibility shot up to 34% and they were regularly appearing for key money prompts.
For early-stage fintechs, this is a massive arbitrage opportunity. While traditional SEO might take years to build authority against incumbents, the "citations" in LLMs often come from whoever provides the clearest, most recent answer.
You can see your content marketing results in days rather than months.
Focus on prompts that drive commercial outcomes
There is a massive opportunity for financial services companies to invest in LLM and SEO work right now, simply because of who they’re targeting. When you are selling to a CFO or a CTO navigating a twelve-month sales cycle, you are selling to someone who is conducting deep, technical research across every digital surface available.
The strategy to win that buyer is straightforward: identify your "money prompts," create a cluster of high-intent GPT articles to answer them, and use one of the AI visibility tools mentioned above to track your share of voice.
If you implement this framework today, you are already well ahead of the competition. While most are still debating whether AI search matters, you’ll be the brand that the models are consistently recommending to your most valuable prospects.
Book a call with Mint Studios to grow your visibility in LLMs
