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Fintech SEO

SEO, AEO and GEO for Fintech Companies

Buyers pick a fintech product by asking search and AI engines which one is safest, cheapest or best for them. If an aggregator or a rival answers for you, the application goes elsewhere. Our fintech SEO, AEO and GEO work ships fee, comparison and security pages engines can quote, plus the review-site profiles and press coverage answers draw on. We count signups, applications and funded accounts against a fixed baseline.

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Why fintech users shortlist a product before they sign up

Fintech buyers check trust before features. A founder asks an AI engine for the best business bank account for a startup. A freelancer searches for the cheapest way to get paid from abroad. A finance lead compares spend management tools on fees. The answers draw on aggregators, review sites, app store listings and fintech press, and they often repeat last year's pricing. If your current fees, licences and security facts are hard to find, engines describe you with someone else's numbers.

Aggregators and rivals own every comparison search

Search your category with versus or alternatives and page one is aggregator listicles and a competitor's comparison page. They decide how your fees and features are described, and the people reading them are the ones closest to applying. You pay to reach those buyers through ads instead.

AI engines quote our old fees and old name

You changed pricing or rebranded, but answers still cite the old fee table, a retired product name or a feature you dropped. A prospect who reads that either picks a competitor or reaches signup expecting terms you no longer offer, and leaves before funding.

Legal review holds up every new page

Comparison and fee pages need sign-off from legal and compliance, so the backlog grows while competitors publish. The pages that get through are often cut back to vague claims, which leaves engines nothing specific to quote about your rates, limits or protections.

What we build for fintech SEO, AEO and GEO

Six workstreams on one roadmap, ordered by your baseline. Each is built around the facts engines check before recommending a financial product: fees, licences, security and who it is for. Claims and risk disclosures are drafted for your legal and compliance team to approve before anything ships.

01

Comparison and trust prompts mapped by product line

We collect the prompts and searches your buyers use, such as best business bank account for a startup, your product versus a rival on fees and is your app safe, split by payments, lending, banking or investing, then record who each engine recommends.

02

Fee, comparison and security pages engines can quote

Alternatives and versus pages, fee explainers with dated tables, use-case pages by business type, integration pages and a security and compliance page that states licences, partner banks and fund protection in one quotable place, with the risk disclosures each product needs.

03

Coverage on the review sites and press answers trust

We map the sources engines cite in your category, typically G2, Capterra, Trustpilot, NerdWallet, TechCrunch and fintech press, then fix your profiles, correct outdated listings and pitch product news and data to those publications. We never buy, fake or incentivise reviews.

04

One current product record across every listing

Product names, fees, licences, supported countries and integrations made to match across your site, schema, app store listings, review profiles and press kit. When pricing or a name changes, we update every record we can reach, so engines stop repeating the old version.

05

Technical fixes for app-first fintech websites

Marketing sites built as single-page apps that render blank to crawlers, fee tables loaded by script, country versions without hreflang, help centres split onto subdomains and bot rules that block AI crawlers. We fix what stops Google, Bing and AI crawlers reading the pages that sell.

06

Signups, applications and funded accounts counted

Each month we rerun the prompt set on ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Google AI Mode and Copilot, check Google and Bing rankings, and tie signups, applications, funded accounts and demos to search and AI referrals in your analytics.

Covered on every engine your buyers use

  • ChatGPT
  • Perplexity
  • Claude
  • Gemini
  • Google AI Overviews
  • Google AI Mode
  • Copilot

ChatGPT search and Copilot draw on Bing's index, so Bing rankings feed AI answers. We work on search and AI engines as one program.

How it works

The same four steps on every engagement, with a clear view of what to expect at 30, 60 and 90 days.

  1. 01

    Understand

    Map your business, buyers, competitors and the prompts and searches that decide your category.

    Days 1 to 30. A fixed baseline across every engine and the prompts that matter.

  2. 02

    Prioritize

    Pick the few moves that will get you recommended fastest and turn them into a focused roadmap.

    Days 1 to 30. A focused roadmap agreed, with the first fixes already shipping.

  3. 03

    Execute

    Do the technical, content, authority and AI visibility work ourselves.

    Days 30 to 60. Content, technical and authority work shipping every week.

  4. 04

    Improve

    Track AI citations, rankings and the leads they drive against the baseline and keep refining.

    Days 60 to 90. A first read against the baseline, then the next quarter planned.

Case studies

Our closest proof is a finance automation platform and an AI video platform with a large index to clean up. Neither is a lender or a neobank, but the comparison, entity and indexing method carries over.

Read all case studies

Who this is for, and who it is not for

A good fit

Fintech companies with a live product, a website that sells it and a way to count the signups, applications or funded accounts search brings in

  • Payments, payouts and embedded finance companies
  • Lending platforms
  • Neobanks, banking apps and investing apps
  • B2B fintech for billing, treasury, spend and cross-border payments

Not a fit yet

  • Products not yet licensed or live in the markets you want to win
  • Teams that want rate, savings or return promises in their copy
  • Businesses with no live website or nothing to sell yet
  • Anyone expecting guaranteed placement in a specific answer

How we compare with the other ways fintech teams buy growth

SearchAxe SaaS content agency Performance marketing agency Part-time in-house SEO
Understands how your buyers research Trust, fee and comparison prompts by product Software buying, rarely regulated products Paid keywords and audiences Knows the product, little research time
Works on AI answers and search together Yes, one roadmap for both Blog-led SEO, AI rarely Paid channels first Usually Google only
Ships the fixes Pages, schema and technical fixes shipped Articles, rarely technical work Landing pages for ads When the sprint allows
Earns third-party mentions Review sites, press and comparison sites Guest posts at best Paid placements Rarely
Compliance-aware copy Drafted for your legal review Rarely, edits fall to you Ad policies, not page content Yes, but it slows output
Measured against a baseline Fixed baseline, read every month Traffic and rankings Cost per acquisition while spend runs Varies by team
Published pricing Yes, from $499 per month Usually quoted Often a share of ad spend Share of salaries and tools

What you get each month

  • Baseline report Where you stand on every engine and in search before any work starts.
  • Monthly AI citation and ranking report Citations by engine, rankings and referring domains, read against the baseline.
  • Applications and signups attributed The signups, applications, funded accounts and demos that search and AI answers drove that month, in your own analytics.
  • Slack access A shared channel with the people doing the work.
  • Rolling roadmap What shipped, what is next and why, updated every month.
  • Competitor movement Which competitors gained or lost ground in AI answers and search, and why.

How we get started

From first call to work in progress in three steps.

  1. 01

    Book a free consultation

    A call about your business, your market and where you stand in AI answers and search today.

  2. 02

    Get a plan and a quote

    We send a plan for what we would do first, with a quote for the plan you choose.

  3. 03

    Work starts right away

    Once the plan and quote are approved, the work starts immediately.

What clients say

We had thousands of pages going nowhere. Amit cleaned that up and rebuilt our landing pages. Our top three rankings are up 362% and our citations across AI engines have grown more than a hundred times.

Nan Ha Nan Ha Product Growth Lead, Viggle AI Read the Viggle AI case study

We came to Amit with a good product and almost no search presence. He gave our team a plan we could actually follow. Referring domains are up 183% and our first page rankings have more than tripled.

George Kurdin George Kurdin Co-Founder, Monk Read the Monk case study

Our content was getting published but not landing anywhere. Amit reworked how we format it for AI engines and our citations across all seven engines are up over 400%. The Reddit community he built now brings us leads weekly.

Aditya Nagpal Aditya Nagpal Founder, Wisemonk Read the Wisemonk case study

We launched with a homepage and nothing else. Amit built the search foundation, the landing pages, the blog, the schema. Our domain rating is up 70% and we went from zero AI citations to being quoted by six of the seven AI engines.

Ahad Shams Ahad Shams Founder, HeyOz Read the HeyOz case study

We had multiple pages fighting each other for the same terms. Amit mapped it all out, consolidated what needed consolidating, and rebuilt our service pages. Organic traffic is up 147% and our top three rankings have more than doubled.

Manjunath Thandu Manjunath Thandu CEO, Zivoke Read the Zivoke case study

Who's behind SearchAxe

Amit Malvi spent four and a half years at Invideo AI, rising from SEO Executive to Senior SEO Manager. He built and led a 20-person link building team and owned the company's GEO and AEO programs. Today he works hands-on with a small number of businesses across 16 industries, from SaaS and AI startups to law firms, clinics, online stores and manufacturers, that want to be the name search and AI engines recommend.

Pricing

Published prices, in US dollars per month. The plan that fits this work is below.

Full Service SEO and AI Visibility

$1,499 per month

Minimum three months

For businesses that want one partner to own search and AI visibility end to end, from the fixes to the monthly report.

  • Everything in SEO Consulting
  • Technical fixes, on-page work and citation-ready pages
  • Link building, brand mentions and entity optimization
  • Monthly reporting on citations, rankings and the leads they drive

Third-party fees, such as editorial or placement fees and paid listings, are paid by you directly.

Questions buyers ask us

Which trust signals do engines look for in fintech?

The same ones a careful buyer checks. Who regulates you and under which licence, which bank holds customer money, how funds are protected, what the product costs today and what independent reviewers say. Engines quote these facts when they are stated plainly on your site and match your listings elsewhere. Our AI brand entity optimization work keeps that record consistent, so answers to is this app safe describe you correctly.

Should we focus on the app store or the web?

Both matter, for different jobs. App store listings are cited as sources and are where many installs happen, but they hold little room for fees, comparisons or security detail. Web pages carry that depth and rank for the versus and best-for searches. Our work is on the web side. We make sure your listings tell the same story as your site, so engines don't find two versions of your product.

How do comparison pages get through legal review?

By sticking to facts you can show. Every competitor detail is sourced and dated, from their own published fee pages where possible. We avoid superiority claims you cannot prove, describe rivals fairly and note where products differ in regulation or eligibility. Your legal team gets a draft with sources linked line by line, which makes approval faster and the page more credible to engines, which favour specific, checkable comparisons.

Will the content pass our compliance review?

It is drafted to. Rules differ by product, so we start from yours: lending pages carry the rate and fee disclosures your regulator requires, investing pages carry risk warnings, payments pages state how funds are safeguarded. We never promise rates, savings or returns. Your legal and compliance team approves every page before it ships. We don't give legal advice, and your reviewers have the final word.

How do you attribute applications and funded accounts?

We set up events in your analytics for the steps you care about: signup started, application submitted, account funded and demo booked. AI referrals are separated from Google and Bing, and where you allow it we match against your product analytics or CRM so each account is counted once. We never need customer financial data. The monthly report shows those outcomes against the baseline, not traffic.

Can you cover several countries?

Yes, market by market. Fees, licences and eligibility change across borders, and engines answer the same question differently in each country. We build country versions with the right hreflang setup and local regulatory detail, starting with the markets where you are licensed and already acquiring customers. We don't publish pages for markets where your product isn't available, because they confuse engines and buyers alike.

How long before we see results?

We set the baseline in the first 30 days and give you the first full read against it at day 90. Technical fixes and corrected product facts usually register first, since engines that search at answer time read the new version on their next visit. Review profiles and press coverage take months. We don't guarantee rankings, citations, application volumes or dates.

What does it cost?

We have three plans, from $499 to $1,499 per month. Most fintech companies start on Full Service SEO and AI Visibility at $1,499 per month, which covers all six workstreams. The AI Visibility Audit is $199 one time if you want a first read of where you stand. Third-party fees, such as editorial or placement fees and paid listings, are paid by you directly. See our pricing for every plan.

Do you need access to our systems?

We need read access to your analytics and Google Search Console, editor access to your CMS or marketing site repository if we publish for you, and read access to product analytics for attribution. We never need production systems, ledgers or customer data. If your security team runs a vendor review first, we complete it before access is granted, and everything we ship goes through your legal and compliance approval.

Let's get your business recommended.

Tell us what you sell, who buys it and where you show up today. We'll reply within one business day with what is costing you leads and what we would fix first.

Schedule a Free Consultation