[NOT A] Fintech SEO AGENCY

The alternative to a fintech SEO agency.

Get cited without sounding like everyone else who gets cited. For companies that need to be found by buyers via traditional search, answer engines (AEO), and generative engines (GEO). Technical foundation, topic architecture, and content structured for extraction while the positioning stays intact.

Book an intro call → See engagement models
fintech seo agency

Who this is for

Three signals your discoverability & fintech SEO strategy needs a full reset.

The rankings look reasonable, and the blog is indexed. The bigger, more hidden issue is whether any of it reaches a buyer at the point they are deciding, or whether an AI answer is summarizing your category to them without you in it.

— Signal 01
You rank, but not where it counts.

You have rankings and traffic, but not for the queries that signal a buying decision, and not in the AI answers buyers now consult before they ever reach your site. Visibility without intent is vanity. A real search strategy targets the queries and prompts closest to a decision, and earns the citations that put you in the room.

— Signal 02
Every algorithm update sends the team scrambling.

When each core update or AI change resets your rankings, the problem is the absence of an architecture underneath the site. Visibility that swings with every shift is borrowed, not owned. You need a topic and technical architecture that compounds, so your presence survives the next update instead of depending on it.

— Signal 03
You are publishing but not getting cited.

AI made content cheap to produce, and everyone is producing. The result is more pages fighting for fewer clicks, while answer engines cite a handful of sources and skip the rest. Showing up in ChatGPT, Perplexity, and Google’s AI answers is a different discipline than ranking, and it starts upstream, with content built to be extracted and cited.

How I work

Fintech SEO, AEO, and GEO as one strategy.

A traditional fintech SEO agency may sell these as three services, but they are mostly one problem with three surfaces. The research, the architecture, and the technical foundation underneath them are shared. What differs is how the answer gets packaged at the end.

Research comes first, which means what buyers type into Google and what they now ask a model, along with where you and your competitors currently get cited across the answer engines. That last part is the newer input and the one most audits skip. It tells you which sources a model treats as authoritative in your category, which is usually a shorter and more surprising list than the search rankings suggest.

Architecture is what makes any of it accumulate. Hub pages that hold a category, supporting clusters underneath them, and internal linking that builds topical authority rather than resetting with each post. Entity and structured data strategy so machines can tell what your company is and what it claims. Underneath all of it, crawlability, speed, and indexation, which is unglamorous and decides whether the rest of the work counts.

Then the part that is specific to being cited. Content structured so a system can extract a clean answer and attribute it, with claims stated precisely enough to be quotable and specific enough to be worth quoting. In a regulated category this is where most content quietly fails, since the hedging that gets a claim through review also makes it useless to an answer engine. Working out what you can say plainly, and saying it that way, is most of the job.


Measurement runs across all three. Rankings and qualified traffic for decision-stage queries, citation share across the answer engines for your target prompts, and a defensible connection from both to pipeline. Fintech buyers research through content and AI tools without clicking anything traceable, so self-reported attribution carries more weight here than most marketers are comfortable with.

In a category where models are increasingly the intermediary, publishing something subtly wrong about settlement timing or interchange is a durable problem rather than an embarrassing one.

— Inside a typical engagement

  • SEO + AEO + GEO audit
  • On-page optimization standards
  • Query and prompt research
  • Entity and structured-data (schema) strategy
  • SERP and AI-citation analysis
  • Internal linking architecture
  • Competitive visibility analysis
  • Content structured for AI extraction and citation
  • Topic architecture and hub strategy
  • Measurement framework: rankings and citations
  • Technical SEO foundation
  • Governance and approval workflows

Engagement models

Three ways to work together.

Choose between a focused sprint to build the strategy, a monthly retainer when ownership is ongoing, or a custom engagement. Different shapes, same standard of judgment.

— AUDIT
SEO + AEO + GEO Audit

A focused four- to six-week audit of how your content shows up across search. Meta and title tags, on-page content gaps, and the content strategy moves that earn rankings and AI citations. Prioritized recommendations and a first round of fixes.


— Investment

Starts at $7.5k
— Retainer
Embedded Search Strategy

Monthly recommendations, implementation oversight, and performance reporting across all three layers, with quarterly recalibration as Google, OpenAI, Anthropic, and Perplexity shift their mechanics. Three-month minimum.


— Investment

$6k / month
— CUSTOM
Custom Search Engagement

For companies that want search and content strategy woven together at greater depth, across a larger site, a content overhaul, or a more ambitious visibility goal.


— Investment

Scoped to the Goal

Early-stage pricing available for fintech companies pre-Series B, pre-Series A regardless of headcount, or under 75 employees. Pricing reflects the cash constraints of building before scale, not the value of the work.

How an engagement moves

From search audit to a
strategy your team can run.

Week one is mostly listening. After that the work is fairly ordinary: learning your buyers, taking ownership of the strategy, and building a program your team can operate

01 / Weeks 1 to 2

Audience and AI-visibility Audit   

Technical crawl. Rankings baseline. AI-citation analysis across ChatGPT, Perplexity, and Google’s AI answers. Query and prompt research. Competitive visibility analysis. By the end of week two, the picture of where you show up, where you don’t, and why is on paper.

02 / Weeks 2 to 4

topic and technical architecture  

Hub pages, supporting clusters, internal linking logic, entity and schema strategy, and the technical foundation. The architectural decisions that will hold up across algorithm and AI changes if they are made well now.

03 / Weeks 4 to 6

Systems and standards

On-page standards, content structured for extraction and citation, schema templates, brief templates, and measurement frameworks across rankings, citations, and pipeline. The infrastructure that lets the strategy survive contact with the team that has to execute it.

04 / Ongoing     

Operate + recalibrate

For retainer engagements, I run monthly optimization and reporting, and quarterly recalibration as Google, OpenAI, Anthropic, and Perplexity shift their mechanics.

Let’s talk

The non-fintech SEO agency route to improving search visibility.

Book a thirty-minute call to figure out whether a content marketing strategy engagement is the right fit. Honest answers, including when it isn’t.

WHAT TO EXPECT

Frequently asked questions

We compiled a list of answers to address your most pressing questions regarding our alternative to a fintech SEO agency.

Many fintech companies don’t need a large fintech SEO agency—they need senior expertise. Working directly with an experienced SEO strategist means the person developing your search strategy is the same person conducting research, making recommendations, and creating content. That leads to faster decisions, more consistent execution, and a strategy tailored to your business rather than a standardized agency process.
Fintech SEO is the practice of getting a financial technology company found in search for the queries its buyers use. It combines technical foundation, topic architecture, and content built for search intent, tuned to a regulated, high-consideration category. Effective fintech SEO targets the queries closest to a buying decision rather than raw traffic, and it now extends into AEO and GEO, so a fintech brand shows up in AI answers as well as classic search results.
AEO (answer engine optimization) and GEO (generative engine optimization) are the practices of getting your content surfaced and cited by AI systems like ChatGPT, Perplexity, and Google’s AI answers. Fintech companies need them because buyers increasingly start research inside AI tools that synthesize an answer and cite a few sources instead of returning ten links. Being one of those cited sources is a new visibility channel, and it rewards content structured to be clear, specific, and extractable.
A modern fintech SEO agency should deliver more than keyword rankings. Search now includes traditional SEO, AI search, and answer engines, so your strategy should account for all three. That means technical SEO, content strategy, topical authority, internal linking, entity optimization, and content designed to earn visibility in Google, AI assistants, and other search experiences—not just organic search results.
These also help you naturally introduce GEO and AEO while satisfying search intent for people looking for a fintech SEO agency.