The Fintech SEO & GEO Agency
Finance is the category search engines and language models scrutinise hardest, and the one where buyers verify everything before they book. We build the sourced, reviewed content that clears that bar, and prove the pipeline in your CRM.
Demos booked from search · Indexed to baseline





Why fintech teams call
Nobody books this call because they want more blog posts. They book it because one of these three is happening right now, and the pipeline number shows it.
A buyer asks which platform handles the thing you do and the answer is three legacy processors, a bank, and whoever wrote the comparison. You built the better product and the model has never heard of it, so you meet the buyer after the shortlist is set.
Marketing drafts, compliance strips the numbers and the specifics, and the page ships saying nothing a buyer can act on. Vague content is exactly what a model skips, so the review process quietly removes the reason the page would have ranked.
A VP reads you in month one, brings in risk in month three, and the demo request in month six logs as direct. Your CRM credits the last click, so the channel that started the deal never appears in the report the budget is cut from.
Built for a regulated category
Same engine we run for every B2B SaaS client, with the parts fintech actually needs bolted in: compliance review inside the workflow, licensed-entity accuracy, and proof that survives a security questionnaire.
Operations, risk, engineering and finance each ask different questions. We map every seat, then engineer into the answers.
Moves: Share of AI answers
Claims sourced, guardrails agreed in week one, and a review lane your compliance team can clear in days instead of weeks.
Moves: Publish velocity that survives review
The plumbing that lets crawlers and AI agents read, trust and act on a site that usually sits behind a gated product.
Moves: Crawl, index and quote rate
YMYL answers weight the source harder than any other category. We go earn the placements that make you one models trust.
Moves: Trust the models inherit
Committee deals plus referrer-stripping assistants means the source is gone by the time the deal closes. We rebuild the trail.
Moves: Budget you can defend
Fintech has excellent programmatic surface: every core system, every processor, every regulation and segment is a real query with real volume.
Moves: Coverage without headcount
The process · The 90-Day AI Search Program
Week one sets the compliance guardrails, so nothing after it stalls in review. Prompt maps, approved pages, citations, demos, every week, all inspectable.
Technical audit, CRM and GA4 wiring, approved-claims library agreed with your compliance lead, then the kill test on every prompt: after the AI answers, does the buyer still need a vendor? We only chase the ones that end in pipeline.
The kill test · Worth winning?
Hand-researched briefs plus risk and product SME input become pages written to convert a demo, with every claim sourced so review approves in days instead of rewriting for weeks.
Brief 041 · Embedded lending platforms
H1 · Best embedded lending platforms for marketplaces
H2 · How it compares to partnering with a bank directly
Money answers weight the source harder than any other category. Trade placements plus entity work make your presence the constant: cited in 4 of 5 runs and climbing.
Citations landed · Run 2
Demos, pipeline, and closed revenue on one report, with first touch preserved so a deal that started in month one still credits the channel in month six. Quarterly reviews re-grade the forecast.
Demos booked · Attributed to SEO and AI search
Results · From the monthly reports

Organic sessions, AI referrals, category presence and attributed demand all moved together one quarter after launch.

Nearly half the demo pipeline was filed as Direct. The Two-Witness Rule recovered it, and the page program kept feeding it.

A page set that did not exist twelve months ago now carries the growth and is the most-cited name in the category’s AI answers.
In their words
Not curated snippets from a review widget. Named people, at named companies, about work you can read above.
"Justin and his team have been phenomenal from Day 0, and the consistency in quality and the measurable results they have delivered have been a true transformation to our business. We are extremely happy and we have already recommended them to our friends."
"I have been impressed with Justin and team's knowledge, work ethic and commitment to improving SEO. I have been in the digital space for nearly 20 years across different verticals and Rock the Rankings is the only SEO agency that I have worked with that has made a meaningful impact to the associated business.
If I found myself at another company, needing help with SEO, Justin would be my first call"

"The workflow was seamless between our teams. Overall, their process was very close to ours, so it was a great fit from the get-go. Most importantly, we learned a ton from their approach."
"Justin and his team helped us strengthen our SEO strategy, enabling us to adopt a more in-depth and strategic approach, and to better anticipate and organize our content operations."
"The partnership with Rock The Rankings contributed to clear improvements in organic performance across Canada and Australia, particularly for MoonPay's high-value transactional keywords and pages."

Rock The Rankings delivered great work for us. We came in with a massive index bloat issue, and Justin & team quickly figured out what needed to be done and helped us implement his suggestions on the site.

Forecast first · Held to it
Every engagement opens with a 12-month forecast built on your funnel data, with the committee cycle modeled in, so month-one demos show as month-six revenue where they actually land.
One lever separates the three: the share of search volume your pages capture. Everything else is your actuals, held flat: visit-to-demo rate, close rate, and contract value per site or per seat. If the model can't clear a 4× return, we tell you before you spend a dollar.
12-month forecast · Optimistic · 30% capture
Reference case: forecast said 10 demos by day 90. The program booked 59.
The other side of the model
Fintech cycles are long, so waiting costs twice: the demos you do not book now, and the revenue that lands two quarters later than it could have. Pick your average contract value to see the size of it.
Pipeline that goes to someone else
Close rate held at 22%, capture at the realistic 20% scenario, applied to the ACV you picked. On the call we rebuild all three on your actuals, and if the model doesn't clear a 4× return we tell you that instead of selling you.
This is not a delay. It is a transfer. Three things compound against you in the exact window you spend deciding.
The 90 days start at kickoff, not at the decision, and in fintech the revenue lands a further two quarters out. A quarter of waiting does not pause the results. It pushes closed revenue most of a year down the road.
Pricing
Same pricing for fintech as everyone else. Compliance workflow is included, not an upcharge. Rates shown are our best rate, on a 12-month commitment. The 90-day program and month-to-month are both available at a higher monthly rate.
You execute · We run the strategy brain
Best for: teams with in-house execution. We run SEO + GEO strategy and senior QA on top.
See Full PricingThe full engine · End to end
Best for: teams that want it all handled: strategy through execution, one invoice. Most engagements land at $10K+.
See Full PricingMarket domination · Max velocity
Best for: an aggressive run at the whole category: double the content and link velocity, monthly founder calls and QBRs.
See Full PricingThe honest comparison
$99/mo and a prompt
Stalls: volume your reviewers reject
The same playbook, every client
Stalls: the wrong half of finance
Five roles, two quarters
Works, at $300K and month 7
GEO + SEO · One team
Forecast first · Reported monthly
Fit · Before you fill anything in
We say no often, and early. Reading this saves us both a call.
Also a fit: a licensed lender or bank partner whose compliance function has made publishing feel impossible.
If that’s you, we’ll say so on the first call and point you somewhere better. No sequence, no follow-up.
Straight answers
If yours isn’t here, bring it to the call. Same unpolished answer either way.
The higher evidence bar is the opportunity, not the obstacle. Thin unsourced claims get filtered no matter who publishes them. Sourced, expert-reviewed, specific content clears the bar, and once it clears it keeps getting cited while your competitors’ vague pages do not. We build to the bar from the first brief, which is also why compliance tends to approve faster rather than slower.
One session in week one with your compliance or legal lead produces three things: an approved-claims library, a banned-phrase list, and a sourcing standard. After that, writers work inside the guardrails, so review is checking rather than rewriting. Clients typically go from a six-week review cycle to three or four days.
On their brand terms, no, and you should not try. On the queries that actually source deals, alternatives, integrations, segment-specific workflows and pain-first questions, incumbents are slow, generic and years behind. Lendbuzz went from zero to outranking Capital One and Bank of America on its core buying query in six weeks, in a category with far heavier scrutiny than most.
Three leading indicators, reported monthly before revenue lands: citation rate on the buying prompts across five engines, demo requests attributed by the Two-Witness Rule, and stage-one pipeline created. Revenue gets graded against forecast at the quarterly review, on the cycle length you actually have.
Lendbuzz is public: $2.1B raised, pre-IPO, and zero to 60% AI visibility across seven tracked engines in six weeks. We also work with lending, payments and treasury teams we can put you on a call with before you sign anything.
Before you close the tab
Every one of these gets said on a call. Here are the answers we give, in writing, before you spend 27 minutes on it.
Objection 01
They kill vague, unsourced marketing copy, and they should. What they approve is specific, cited, expert-reviewed material, which happens to be exactly what ranks and exactly what a model quotes. The two goals point the same direction.
So we start there. One week-one session builds the claims library and the review SLA, and every brief after it is written inside those lines. Compliance stops being the bottleneck and starts being the reason the content outperforms.
Objection 02
Usually true of the head term and irrelevant to the outcome. Nobody searches "treasury management platform" at volume, but "embedded lending platform for marketplaces" converts at a rate no broad term touches, and there are hundreds like it across core systems, processors and segments.
That is what the kill test is for. We test the whole prompt set before you commit, and if the qualified volume genuinely is not there, we say so on the call.
Objection 03
On their brand terms, yes. On the queries that actually source deals, incumbents are slow, generic and years behind, and a bank’s content team is not optimising for an AI answer about your category.
On the intro call we run your real buying prompts live so you see who the engines name today, before you decide anything.
Next step
Give us your domain and your pipeline goal. We map the prompts your buyers are asking, build your GEO marketing plan against them, and forecast the pipeline the next 90 days can realistically produce.

What we walk through