The MarTech SEO & GEO Agency
Your buyers shortlist from a listicle you did not write.
Marketing software is the most crowded comparison space in B2B, and your buyer is a marketer who knows every trick you would use. We win the comparison surface that decides the shortlist, then prove the pipeline in your CRM.
Demos booked from search · Indexed to baseline
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Why martech teams call
Three things go wrong in martech search:
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.
The suites and the affiliate sites own every answer.
A buyer asks for the best tool in your category and the answer is HubSpot, Salesforce, and whoever monetises the roundup. You built the better point solution and the model has never had a reason to name you.
You are marketing to marketers, who see straight through it.
Your buyer runs the same playbook for a living. Generic thought leadership, gated ebooks and keyword-stuffed listicles read as amateur hour to the one audience that can tell.
Everyone attributes, nobody agrees.
A marketing team with six tracking tools still cannot say which channel produced the demo, because assistants strip the referrer and the last click takes the credit. The channel doing the work looks like the channel doing nothing.
Built for a crowded category
Six disciplines, adapted for martech.
Same engine we run for every B2B SaaS client, with the parts marketing software actually needs bolted in: the comparison surface as the primary battlefield, defensible differentiation, and attribution your own team will respect.
The comparison prompt map
Practitioners, ops leads and CMOs each shortlist differently. We map every seat, then engineer into the answers.
- Prompts by buying-committee seat
- Best-of, alternatives and versus coverage
- Citation tracking across 5 engines
- Suite and point-solution watch
Moves: Share of AI answers
Differentiation a marketer will believe
Specific, defensible claims with real numbers, written for a reader who has seen every persuasion technique you know.
- Claim-by-claim competitive research
- Named practitioner review
- Alternative, comparison and integration pages
- Honest tradeoff sections
Moves: Content that survives a skeptical reader
Technical SEO and agent readiness
The plumbing that lets crawlers and AI agents read, trust and act on a site that usually carries years of campaign debt.
- Full technical audit and fixes
- Organization, Product and SoftwareApplication schema
- llms.txt and AI crawler access
- Campaign-page and redirect cleanup
Moves: Crawl, index and quote rate
Category authority and citations
Models lean on review sites and roundups in this category more than almost any other. We go earn the placements they read.
- Marketing trade and newsletter placements
- Named operator and CMO commentary
- G2, Capterra and category roundup presence
- Monthly citation velocity reporting
Moves: Trust the models inherit
Attribution your own team will respect
You sell attribution, so yours has to be better than your buyer expects. We rebuild the trail on two signals.
- CRM field and GA4 wiring, first touch preserved
- Self-reported capture at the form
- Two-Witness reconciliation
- Monthly board graded vs. forecast
Moves: Budget you can defend
Integration and use-case scale
MarTech has excellent programmatic surface: every integration, every stack combination and every use case is a real query with real volume.
- Integration and stack-combination libraries
- Use-case pages by team and channel
- Role pages for ops, demand gen and leadership
- Quarterly strategy re-plans
Moves: Coverage without headcount
The process · The 90-Day AI Search Program
The process, step by step.
Week one names the comparison surface you can realistically own, so nothing after it is wasted. Prompt maps, approved pages, citations, demos, every week, all inspectable.
Map the committee, set the guardrails
Technical audit, CRM and GA4 wiring, competitive claims library agreed with your product marketing 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?
Write it, source it, clear it
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 · Marketing automation alternatives
H1 · Best marketing automation platforms for product-led SaaS
H2 · How it compares to staying on an all-in-one suite
Win the citations marketing buyers trust
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
Report across the whole cycle
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
Real case studies, not screenshots.
AI search became a demand channel in one quarter
Organic sessions, AI referrals, category presence and attributed demand all moved together one quarter after launch.
Four months in, running ahead of forecasted demos
Nearly half the demo pipeline was filed as Direct. The Two-Witness Rule recovered it, and the page program kept feeding it.
AI search and organic became the growth engine
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
What our clients say.
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
Three scenarios, before we start.
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
The shortlist gets written either way.
Comparison pages compound, so waiting costs twice: the demos you do not book now, and the surface a competitor takes while you wait. 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 every week the roundups get harder to displace. A quarter of waiting does not pause the results. It pushes closed revenue most of a year down the road.
The honest comparison
Four ways martech teams try this. Three stall.
AI tools
$99/mo and a prompt
- ✕Generates the same generic listicle four hundred competitors already published
- ✕No committee mapping, no revenue lens
- ✕Zero authority links. Tools cannot earn trade placements
- ~Ships fast, straight into a legal rewrite queue
Stalls: volume your reviewers reject
Other agencies
The same playbook, every client
- ✕Marketing experience means brand campaigns, not comparison SEO
- ~GEO bolted on as an upsell, run by whoever has capacity
- ✕You meet the closer, then get handed to an account manager
- ✕No answer for why a six-month committee deal logs as direct
Stalls: cannot win the shortlist surface
In-house team
Five roles, two quarters
- ✓Knows the product, sits in your meetings
- ✓Full control of roadmap and voice
- ~$290K+/yr before tools, and the role usually gets pulled onto campaigns
- ~Trade placements and AI optimization still need specialists
Works, at $300K and month 7
Rock the Rankings
GEO + SEO · One team
- ✓Comparison surface mapped in week one, pages shipping by week three
- ✓A 3-scenario forecast with the committee cycle modeled in
- ✓Cited on the prompts that end in a vendor shortlist
- ✓First touch preserved across a six-month committee deal
Forecast first · Reported monthly
Fit · Before you fill anything in
Which martech teams this works for.
We say no often, and early. Reading this saves us both a call.
Great fit
- Marketing software, Series A to Series D$2-3M to $50M+ ARR: automation, ABM, analytics, content ops, CDP, personalisation and campaign tooling.
- You sell to marketing teamsDemand gen, ops, product marketing and CMOs. B2B contracts, not consumer subscriptions.
- Marketing leadership in placeA CMO, VP Marketing or Head of Growth who owns the number, usually with one under-resourced content or SEO person.
- A product marketer who will engageSomeone who can sit in one week-one session and agree what is genuinely defensible about the product. That single hour unblocks the year.
- You can ship changesModern CMS and a willingness to make technical and on-page edits.
- Pipeline is the measureBudget $5,000+ for strategy, $7,500-$15,000+ for the full engine, and qualified demos are how we are both graded.
Also a fit: a point solution that keeps losing evaluations to a suite that does your job worse.
Not a fit
- Pre-seed or pre-PMFNo audience, no category clarity, and no runway for a compounding channel.
- Consumer or creator toolsA different playbook: paid social, app store, brand. Not our specialty and not our pricing model.
- Agencies and services firmsDifferent funnel, different economics. We work with software companies.
- Nothing genuinely differentiates the productIf the honest comparison page loses, content will not fix it and we will say so.
- You want content volume without strategyWrong expectation. We decline these even when the budget is there.
- You cannot make on-page or technical changesThe methodology does not work without them.
- Traffic is the KPIWe align on pipeline, or we do not work together.
- Not willing to let us driveIf every decision needs a committee and a month, the program stalls.
- Under $5K a monthNot enough investment to make the channel compound.
If that’s you, we’ll say so on the first call and point you somewhere better. No sequence, no follow-up.
Straight answers
Asked on every martech call.
If yours isn’t here, bring it to the call. Same unpolished answer either way.
On the head term, no. On the specific comparison and use-case queries that actually source deals, yes, and there are hundreds of them. Saturation at the top usually means neglect underneath it.
One session in week one with product marketing produces a claims library, a banned-phrase list, and a sourcing standard. Every competitive statement is sourced to public documentation, so the page holds up when a competitor complains.
On their brand terms, no, and you should not try. On the queries that actually source deals, alternatives, integrations and use-case-specific workflows, suites are slow, generic and years behind.
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.
Several, including analytics and content-ops teams. Ask on the call and we will name who is relevant to your segment.
Before you close the tab
The three reasons martech teams do not book.
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
“We already know how to do SEO.”
Most martech teams do, and that is exactly why the gap is elsewhere. The problem is rarely execution skill, it is that nobody has owned the comparison surface or fixed the attribution underneath it. We are not teaching you SEO, we are taking a surface you have not had the capacity to take.
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
“Our category is too niche for search volume.”
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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
“The suites are too entrenched to outrank.”
On their brand terms, yes. On the queries that actually source deals, suites are slow, generic and years behind, and their content team is not optimising for an AI answer about your specific use case.
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
Your GEO plan, built on your numbers.
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