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  • AI in FinTech: Who Leads the Search and How Much Does It Cost?

    AI in FinTech: Who Leads the Search and How Much Does It Cost?

    AI in FinTech: Who Leads the Search and What Does It Cost?

    A study of 68,334 responses from five different AI platforms revealed which FinTech brands dominate the artificial intelligence sphere. If you want to understand how CPM is profitable in the new search reality, this information is critical.

    Traditional SEO methods do not guarantee visibility in AI, which means many companies are missing out on the opportunity to get traffic where consumers are looking for answers to financial questions. We analyzed 250 queries across 10 categories of consumer FinTech products to determine the real picture.

    Why AI Visibility is the New Metric of Success?

    According to Plaid, over 200 million people ask questions about personal finance on ChatGPT alone every month. Add Google AI Overviews and Claude to that, and the volume of AI-generated solutions becomes colossal.

    A LendingTree survey showed that almost half (49%) of chatbot users stated that AI influenced at least one of their financial decisions, most often related to budgeting, taxes, or opening/closing accounts and loans.

    “Success in traditional search does not mean automatic visibility in AI. You can dominate Google for key queries and still not appear in ChatGPT’s answers to similar questions. The size of this gap is striking,” experts note.

    Out of 68,334 responses, 7,317 unique brands were mentioned. The maximum AI Visibility Score (a 100-point scale that considers frequency of appearance, position of mention, and number of categories) was 65.6.

    Among pure FinTech brands, none exceeded the 65 mark. This indicates that the market is fragmented, and newcomers have a chance.

    Methodology: How We Calculated the AI Visibility Score

    • 10 categories: selected for industry relevance.
    • Mention Position: determined by the first appearance in the response text.
    • Sentiment: evaluated by the surrounding context of keywords. These are text proxies, not manual labeling.

    AI Visibility Leaders: Who and Why?

    Apple leads with 65.6 points. Although not a pure FinTech brand (Apple Pay, Apple Card), it sets the bar. Among pure FinTech companies, SoFi leads with 64.6 points.

    The reason is simple: SoFi is the only brand that appeared in all 10 FinTech categories, including banking, lending, investments, and money transfers. Mention frequency accounts for 50% of the total score, and category coverage accounts for 20%. No other FinTech brand came close to SoFi in this metric.

    Next are:

    • PayPal: 59 points (3rd place).
    • Charles Schwab: 53.6 points.
    • Chime: 53.0 points.
    • Revolut: 52.6 points.

    Fidelity and Wise performed well despite fewer mentions, due to their early appearance in responses (on average, 3rd position). This shows that a cheap hypothesis test on the impact of mention position on conversion is well justified.

    Wealthfront Example: Breadth Over Volume

    Wealthfront, with 46 points, has many mentions but covers only 7 out of 10 categories. This gap in coverage cost it positions compared to brands with fewer mentions but broader category presence.

    This demonstrates that CPM is profitable not only due to quantity but also due to the quality of coverage.

    Category Leaders: Who Dominates the Niches?

    Each of the 10 fintech categories has its own AI visibility landscape. The category leader is often not the leader of the overall index. Brand concentration varies greatly.

    • Buy Now, Pay Later (BNPL): the most consolidated. Klarna (91.8%), Affirm (83.1%), Afterpay (80%). Klarna is almost always mentioned first.
    • Money Transfers: Wise leads with 84.7% of mentions, maintaining stability across all five AI platforms. Remitly (66.8%) and Western Union (55.2%) lag behind. Wise ranks first in 57.7% of responses where it appears. This is an excellent example of a challenger brand outperforming a veteran.
    • Investments: Fidelity (74.5%) and Charles Schwab (73.8%) are co-leaders, AI does not favor one over the other. Robinhood (56.3%) is in third place. Smaller brands with strong content comparing features compete with giants.
    • Robo-advisors: Betterment (84.2%) and Wealthfront (75.7%) are a clear pair. Betterment is most often mentioned first.
    • Banking Services: SoFi (59%) and Chime (54.2%) lead. Capital One (40.3%) and Ally Bank (40.2%) share third place.
    • Cryptocurrencies: Coinbase dominates with 72.9% of mentions. Kraken (64.9%) and Binance (52.5%) follow.
    • Budgeting: YNAB leads with 72.8% of mentions and is almost always the first budgeting tool named by AI. Monarch Money (55.5%) is second.
    • Lending: the most fragmented category. SoFi (43.7%) leads, but the gap from Upstart (36.5%) and LightStream (33.1%) is minimal. Here, a cheap hypothesis test can yield quick results.
    • Business Software: Intuit leads with 58.3% thanks to QuickBooks and TurboTax. Xero (41.2%) is second.
  • Payments: PayPal (81.5%) is the most mentioned brand, but rarely first (average 4.46 position). Venmo (64.2%), Cash App (48.1%), and Zelle (46.4%) follow. Apple Pay, despite Apple’s overall high score, ranks fifth in this category.

Tone of Mentions and Influence of AI Platforms

Less than 2% of fintech brand mentions have a negative connotation. AI responses are most often neutral or positive. Leaders in positive tone are business finance tools: FreshBooks, QuickBooks, Wave (over 75% positive mentions).

This is because AI recommends them in the context of problem-solving, using phrases like “QuickBooks simplifies…”.

Wise (69% positive) and Capital One (68.6% positive) stand out with a high level of favorable descriptions (“reliable”, “transparent”, “well-established”). AI takes these formulations from third-party sources, such as lists of best products in financial publications.

On the other hand, Cash App and Wells Fargo have the highest share of negative mentions (1.7% and 1.5% respectively), related to fees and issues arising in the context of complaints.

AI in fintech: who leads the search and how much does it cost? — illustration 2

Strategic Conclusion: Tone is shaped by the language of the sources AI uses and the context of the query. If your brand appears more often in the context of complaints, this will be reflected in the AI’s description. If it appears in instructions and reviews, this will also have an impact. That is, the tone reflects a mix of your sources, not just reputation.

Differences Between AI Platforms

The five AI systems differ:

  1. Number of brands in the response.
  2. Preferences for specific brands.
  3. Sources of information.

ChatGPT more often mentions PayPal (25.3%) and SoFi (20.5%). Claude Sonnet 4, in contrast, is more selective. NerdWallet showed an extreme difference: 11.5% in Google AI Overviews versus 1.3% in Gemini.

Gemini provides the most dense answers (average 9.8 brands), while Perplexity and Claude provide only 6. Fewer brands in the answer mean less competition, which is important for budget alternative to seeding.

Reddit is mentioned in 12% of ChatGPT responses and 7.8% of Google AI Overviews, but less than 0.2% of Perplexity and Claude. This indicates that AI platforms have different data sources, which affects price comparison of promotion.

Frequently Asked Questions

What is the AI Visibility Score?

This is a 100-point metric that measures how often a brand appears in AI responses, how early it is mentioned, and in how many categories it is present. Essentially, it is an indicator of how much money will be generated for every ruble spent in the AI channel.

What is a good CPM in AI search?

Since AI search is only developing, there is no direct CPM yet. However, if a brand consistently appears in the first positions of AI answers, this is equivalent to a very low CPM, as the reach is organic and highly convertible.

Focusing on category coverage and early mention is key to a CPM cheaper than 50 rubles in terms of real contacts.

Is it worth investing in AI search optimization?

Yes, absolutely. AI is becoming the main channel for finding financial information. Companies that ignore this risk losing a significant portion of potential customers.

This is not a question of “how much does it cost to cut 1 hour of stream”, but a question of whether AI is worth it as a channel for attracting traffic. The answer: yes, it is, and the sooner the better.

What is cheaper: banner or target in AI search?

AI search is inherently closer to organic traffic. If your brand is mentioned by AI, it’s free, unlike paid banners or targeted advertising.

Investing in AI optimization is a long-term strategy for obtaining “free” traffic, which ultimately turns out to be cheaper than influencers and traditional advertising.

Conclusion

An analysis of 68,334 AI platform responses showed: the fintech market in AI search is fragmented, and companies have a chance to take leading positions. Apple and SoFi are leading, but their scores (maximum 65.6) show that the ceiling is far off.

This creates huge opportunities for testing hypotheses cheaply and for companies that focus on the breadth of category coverage and content optimization for AI. It should not be forgotten that a favorable CPM in AI search is achieved not through direct placement, but through deep integration into the AI information field.

Your next step is to study how your content is perceived by AI and adjust your strategy. Learn more about AI optimization strategies for fintech.

  • Repurposing: How to Create 100 Unique AI Creatives from One Photo

    Repurposing: How to Create 100 Unique AI Creatives from One Photo

    In the world of content, where every second counts, repurposing becomes the key to scaling. Imagine: you have only one high-quality product image, but you need a ton of options for advertising, social media, A/B tests. No problem! We’ll show you how to trick algorithms and assemble a whole library of unique AI images from a single source, and also how to make AI recommend your business. This is not magic, but hacking.

    Creating an AI library from a single image: hacking visual content

    Forget expensive photo shoots. If you have one decent photo, it can become the video DNA for an entire collection. The secret is the right approach to AI tools.

    How it works: from one seed – a whole plantation

    When you feed an image into an AI model as a reference, it doesn’t just copy it. It analyzes signatures: lighting, color palette, style, textures. This allows it to generate new variations that are visually related to the original, yet unique.

    • Close-ups: AI can break down an image into details.
    • Alternative angles: The model repackages the scene, changing the perspective.
    • Different settings: AI can clone an object in a new environment.

    The value of “rejected” frames: a goldmine for content

    Usually, drafts are deleted. But in this approach, every generated image, even if it didn’t make it into the final project, is a valuable asset. It maintains a unified style matrix and can be used later.

    “The close-up you missed today might be exactly the B-roll you need for an Instagram story next month.” — AI Content Expert.

    Thus, one photo becomes not a one-time asset, but a constantly growing library that provides value long after the initial project is completed. Want to dive deeper? Our recent webinar “AI Video Workflows: Build Once, Reuse Forever with Jerod Lew” is available in the AI Business Society.

    how to make AI recommend your business: bypassing “invisibility”

    AI is becoming the main advisor before a purchase, and these “conversations” often happen in private. If your business is not displayed in AI recommendations, you risk becoming invisible to a huge audience.

    Your content strategy needs a “second audience”

    Traditionally, content is created for humans who read from top to bottom. But AI consumes information differently. Your content now needs to serve two different audiences simultaneously.

    Content that already exists, but AI craves it

    You might be sitting on a goldmine of material that can boost your AI authority. Learn what content most companies ignore after first use, and how one consulting firm used it to dominate its niche in just a few weeks.

    What makes AI choose you over competitors?

    AI has access to a vast amount of content. Why should it choose yours? Learn what AI values when selecting a source, what quality your content needs to have to stand out, and why simply using AI to generate articles won’t help.

    Technical barriers blocking AI

    Your content might be excellent, but if AI can’t access it, it’s useless. Explore common technical barriers that subtly prevent AI from finding your site, and simple checks you can perform today to fix them. You can learn more about this at AnswerContentEngine.com from AI strategist Liron Segev.

    Repurposing: how to create 100 unique AI creatives from one photo — illustration 2

    Industry News: Gemini, Meta, and OpenAI are on the offensive

    Tech giants are not sleeping, algorithms are improving, and new tools are changing the game.

    Google Gemini: Desktop AI and Live Voice Models

    • Gemini for Windows: A desktop application for Windows 10/11 has been released, providing quick access to the AI assistant via Alt + Space. It supports working with Gmail, Drive, and delegating multi-step projects through Gemini Spark. Built-in Nano Banana and Gemini Omni generate images and videos.
    • Gemini 3.8 Live Models: Gemini 3.8 Live and 3.8 Live Extended Thinking have been introduced, expanding AI voice capabilities. They support multimodal understanding, multilingual conversations, asynchronous tool use, and deep reasoning for complex tasks. The Extended Thinking model can perform multi-step processes while maintaining a voice dialogue.

    Meta Muse: A Personal AI Agent Capable of Action

    Meta introduced Muse — an AI agent that goes beyond answering questions, independently performing tasks and advancing the user’s long-term goals. Muse Spark allows it to browse the web, fill out forms, coordinate plans, make purchases (with approval), and work with connected services, remembering preferences. User privacy and control are central aspects through Muse Secure VM, granular permissions, and audit trails. Muse’s initial launch is in the US on mobile and web, with plans to support AI glasses.

    OpenAI GPT-Live-1: Natural Voice Agents

    OpenAI has released GPT-Live-1 for the API, offering a full-duplex voice model designed to handle interruptions, pauses, background noise, and natural conversational dynamics. It delegates complex reasoning and actions to backend models and tools. Developers can customize agent speech, choose from an expanded range of voices, and deploy the technology in various applications, from customer support to phone reservations. The frontend voice layer costs $0.05 per minute.

    Frequently Asked Questions

    What is content repurposing?

    Content repurposing is the process of transforming existing material into new formats or for new platforms. For example, turning a webinar into 50 short clips for TikTok or Reels.

    How to trick anti-plagiarism with AI-uniqueness?

    AI-uniqueness allows you to change content signatures (e.g., visual or textual) so that it is perceived as new but retains the original idea. This helps to bypass ad bans and anti-plagiarism systems.

    Should I order uniqueness or create content from scratch?

    It depends on the task. Content scaling through uniqueness is often significantly cheaper and faster than creating new content from scratch, especially if the source material is high quality. This allows you to generate variants for A/B tests with minimal cost.

    Conclusion: Your Path to Content Scaling

    We’ve explored how to repackage a single image into hundreds of unique AI creatives and how to trick AI into recommending your business. In a world where content is currency, video uniqueness and content multiplication are becoming critically important. Start applying these hacks today to expand your presence and scale content without excessive costs. Take our free quiz to identify your gaps in AI strategy and get a personalized quick-start guide.

    Learn more at AI Video Workflows.