The B2B SEO Agency
Rankings are an input. Demos are the output. We win the queries your buying committee uses to build a shortlist, then prove what they produced inside your CRM.
SEO & AI search attributed pipeline · CRM-verified





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Why they come to us
Nobody books this call because they want more blog posts. They book it because one of these three is happening right now, and the board has noticed.
You hold page one on a list of terms nobody in a buying cycle types. The report is green, the pipeline is flat, and every QBR turns into a defense of the channel.
The comparison pages, the alternatives pages, the category terms: someone else got there first and now owns the shortlist. Your reps meet those names in every deal.
Your CRM files most of the demand as Direct, so the number you can defend is a fraction of the number that is real. Budget gets cut on the fraction.
Where we actually work
B2B SEO is not one tactic. It is six disciplines run as one system, by one team, against one scoreboard: demos, not sessions.
Find the prompts your buyers actually type, then engineer your way into the answers across every engine that matters.
Moves: Share of AI answers
Hand-researched pages written to convert a demo and structured so a model can quote them cleanly.
Moves: Demo-intent traffic
The plumbing that lets both crawlers and AI agents read, trust, and act on your site.
Moves: Crawl, index and quote rate
Models cite sources they already trust. We go earn the placements that make you one of them.
Moves: Trust the models inherit
AI assistants strip referrers. We rebuild the trail so finance can see what the channel actually did.
Moves: Budget you can defend
Once the core converts, we template it: integrations, verticals, personas, comparisons, built clean enough to last.
Moves: Coverage without headcount
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
"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 have really gone above and beyond, in terms of exceeding our expectations in both their communications and their strategies around marketing. They're very specific at what they do. They've been able to help us get to positions 1 and 2 for our most valuable keywords."
"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."
The process · The 90-Day AI Search Program
Every week ends with artifacts you can inspect: prompt maps, pages, citations, demos. If it doesn't move pipeline, it doesn't ship.
Technical audit, CRM and GA4 wiring, then the kill test on every keyword and 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 become solution-aware articles and landing pages, written to convert demos, not to fill a content calendar.
Brief 041 · Payment-recovery page
H1 · Payment recovery software for SaaS
H2 · How recovery rates compare
AI lists reshuffle on every single run. Entity and structure work makes your presence the only constant: cited in 4 of 5 runs and climbing.
Citations landed · Run 2
Demos, pipeline, and revenue attributed to the campaign on one report, reconciled by the Two-Witness Rule. Quarterly business reviews re-grade the forecast. If a station under-ships, you see it the same week we do.
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, We set pipeline goals against it, then grade the program against those numbers every quarter.
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 ACV. 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
Every month you wait, the answers get written without you. Pick your average contract value and see what one quarter of that costs, at the realistic scenario: 20% capture, 22% close.
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. A quarter of waiting doesn't pause the results. It moves them a quarter later, permanently, and hands the ones in between to whoever didn't wait.
The full scope
Every item below is in scope, run by us, reported weekly. See something missing? Bring it to the plan and it goes in.
Pricing · Every number public
Three engagements, two ways to start smaller. Rates shown are the 90-Day Program rate. Month-to-month is always available, and a 12-month commitment is lower again. No percentage of ad spend, no per-article upsells.
You execute, we run the strategy brain and QA every brief.
The full engine, end to end. We run it, you approve it.
An aggressive run at owning every buying answer in your category.
The honest comparison
$99/mo and a prompt
Stalls: volume without pipeline
The same playbook, every client
Stalls: generic strategy, borrowed from another industry
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: bootstrapped SaaS at $2M-$10M with founder-led marketing, or a growth-stage team rebuilding a stalled program.
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 buyer is a committee, not a person, and the cycle is 60 to 120 days. That changes which queries matter. A B2B program is built around the handful of solution-aware and comparison queries a committee uses to build a shortlist, not around volume. We run a kill test on every query before it earns a page.
Both, but the research is the smaller half. The work that moves pipeline is deciding what not to build. Every candidate query has to survive one question: after the answer appears, is this person still shopping for a vendor? If not, it does not get a page.
The Two-Witness Rule. Witness one is the referrer your CRM records. Witness two is the buyer’s own answer on the intake form. Where they agree, it is a hard count. Where the CRM says Direct and the buyer names search, the buyer wins. What neither can name stays unallocated.
Rankings on commercial terms usually move inside 60 to 90 days, and demos follow within the same window on the reference engagements. Every engagement opens with a three-scenario forecast on your funnel data, and if the model cannot clear a 4× return we tell you before you spend a dollar.
Yes, and not as an upsell. Your buyers do not separate Google from ChatGPT, so neither do we. AI search optimization runs inside every engagement at no separate line item.
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
Fair. Most agencies sell activity, so there's nothing to fail against. We've run this with 300+ B2B SaaS companies and we report on pipeline and revenue, not traffic and rankings.
The difference is the forecast. We set it before kickoff on your funnel data, then grade ourselves against it in writing every month. If the model can't clear a 4× return, we tell you before you spend a dollar.
Objection 02
They can, at five roles and two quarters of hiring before the first page ships. That's roughly $290K a year before tools, data, and link budget, and one resignation stalls the whole program.
The better version: we run the engine, your team owns the product story. We hand the whole system over at the end if you want it.
Objection 03
We only work with B2B SaaS, and we've run this playbook across dozens of them: healthcare automation, payments, event software, practice management, crypto infrastructure. The category changes the prompts and the proof bar. It doesn't change the machine.
On the intro call we run your actual buying prompts live, so you see what the engines say about your category 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