B2B SaaS Programmatic SEO
Scaled pages, only where the data earns them.
Integration pages, comparisons, glossaries, and location or use-case sets, built from real data and templated well enough to survive a quality update. Volume is the method, not the goal.
SEO & AI search attributed pipeline · CRM-verified
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Why they come to us
Why B2B SaaS marketing leaders take the call:
Programmatic SEO has a bad name because most of it is doorway pages with a variable swapped. Three ways that ends.
"We built 5,000 pages and got deindexed."
Templates with one word changed, no unique data, no reason to exist. Google called it what it was, and the whole domain took the hit.
"Our competitors have an integration page for everything."
Every tool in your ecosystem is a query, and someone is capturing it. If you don't have the page, the comparison happens on their site with their framing.
"We can't produce at this scale manually."
Three hundred integration pages written by hand is not a content plan, it's a hiring plan. So the pages never get built and the demand goes unmet.
Inside the build
How a set gets made.
Six stages. If a page can't justify itself, it doesn't ship.
01 · Opportunity modeling
Which sets have real demand: integrations, comparisons, alternatives, use cases, industries, or locations. Modeled on volume, intent, and conversion likelihood.
02 · The data layer
A page needs something true and specific to say. We build the dataset first: your product data, your integration specs, real pricing, real capability comparisons.
03 · Template design
One template, built to convert. Above-the-fold answer, comparison table, proof, demo CTA. Structured so language models can quote a single row.
04 · Quality gates
Every page is checked for uniqueness, thinness, and value before it ships. Pages that fail get pruned pre-launch, not after Google prunes them for you.
05 · Indexation strategy
Phased rollout, internal linking from real hub pages, sitemap segmentation, and index monitoring so you learn fast whether the set is working.
06 · Performance and pruning
Ongoing measurement per page. Winners get expanded and enriched, dead weight gets pruned. The set stays healthy instead of rotting.
The process · From data model to indexed set
The data decides what gets built.
Every set ships with the demand evidence behind it. Volume is the method, not the strategy. If the data cannot fill a template, that template does not exist.
Size the demand, kill the empty templates
We model every candidate template space against real search demand and real data availability. Most die here, which is the point. A template with nothing unique to say is a pruning candidate on day one.
The template kill test · Enough data?
Build the data layer and the template
Real data on every page: your integration specifics, pricing, feature matrices, benchmarks. The template is designed so a page without data never renders.
Template 02 · Integration page
H1 · [Your product] + [integration]
H2 · What the integration actually does
Ship the set, get it indexed
Staged rollout with internal link architecture so the set consolidates rather than competing with itself. We watch indexation per cohort, not in aggregate.
Indexed and ranking · Cohort 2
Prune, expand, report
Pages that do not earn their slot get pruned. Templates that do get expanded. Demos attributed to the set, reconciled by the Two-Witness Rule.
Demos from the programmatic set · By week
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.
ROI · Forecast first, held to it
Three scenarios, before a single template ships.
Every engagement opens with a 12-month forecast built on your funnel data. We size the page set against real demand, then report vs. forecast every month.
One lever separates the three: how much of the templated demand your set actually captures. Everything else is your actuals, held flat: visit-to-demo rate, close rate, ACV. If the model can't clear a 4× return, we tell you before you spend a dollar.
12-month forecast · Realistic · 20% capture
The other side of the model
The template space gets claimed once.
Integration and comparison space is winner-take-most, and it is claimed by whoever builds it properly first. Pick your average contract value and see the cost of waiting, at 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.
Programmatic sets are unusually unforgiving about order. The first credible set in a template space absorbs most of the demand, and the second gets the remainder.
Volume is not the moat. Being the set that got built properly first is. Waiting a quarter in a template space usually means arriving second into pages you cannot outrank without rebuilding them entirely.
The full scope
Everything in scope.
The full programmatic build. See something missing? Bring it to the plan.
Pricing
Every price is public.
GEO runs inside every engagement. You'll know if we fit the budget before we ever talk.
Strategy & Consulting
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 PricingDone-for-You
The 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 PricingAuthority
Market 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
Four ways to scale pages. Three stall.
Page generators
Upload a CSV, publish 5,000
- ✕One template, no unique value on any page
- ✕No demand validation, so most pages target nothing
- ✕Exactly the pattern quality updates target
- ~Publishes thousands of pages nobody will crawl twice
Stalls: indexed once, then pruned
AI bulk content
One prompt, every variant
- ✕Paraphrase in place of data, on every page
- ✕Nothing a buyer could not get from the model directly
- ~Passes a skim, fails the comparison it was built for
- ✕No internal link logic, so nothing consolidates
Stalls: thin at scale
In-house build
Your devs and your CMS
- ✓Full control of the data model and the templates
- ✓Ships properly into your existing stack
- ~Competes with product work for sprint capacity
- ~Template quality and demand sizing still need an SEO owner
Works, once it reaches the roadmap
Rock the Rankings
Data-backed sets only
- ✓Demand validated before a template gets built
- ✓Real data on the page, not paraphrase at scale
- ✓Templates built to survive a quality update
- ✓Internal link architecture so the set compounds
Volume is the method, not the strategy
Fit · Before you fill anything in
Who this works for, and who it doesn't.
We say no often, and early. Reading this saves us both a call.
A fit
- B2B SaaS, Series A to Series D$2M to $50M ARR, subscription or usage-based, sales-led or self-serve plus sales-assist.
- A category with a real competitor setVertical or category-defining: healthtech, fintech infrastructure, compliance, HR tech, legal tech, specialty lending.
- Marketing leadership in placeA CMO, VP Marketing, or Head of Growth who owns the number, usually with one under-resourced content or SEO person.
- Organic is underperforming the investmentNon-branded traffic is thin for your stage, competitors hold the category terms, and the AI answers don't name you.
- 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 demos are how we're both graded.
Also a fit: bootstrapped SaaS at $2M-$10M with founder-led marketing, or a growth-stage team rebuilding a stalled program.
Not a fit
- Pre-seed or pre-PMFNo audience, no category clarity, and no runway for a compounding channel.
- B2C apps, DTC ecommerce, or local servicesDifferent playbook, different channels. Not our specialty and not our pricing model.
- Enterprise consultingThose cycles are relationship-driven, not search-driven.
- You want content volume without strategyWrong expectation. We decline these even when the budget is there.
- You can't make on-page or technical changesThe methodology doesn't work without them.
- Traffic is the KPIWe align on pipeline, or we don't work together.
- Not willing to let us driveIf every decision needs a committee and a month, the program stalls. You approve the strategy, we run it.
- Under $5K a monthNot enough investment to make the channel compound. You'd be paying for activity, not an outcome.
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 programmatic call.
If yours isn't here, bring it to the plan. Same unpolished answer either way.
It is, when the pages have nothing unique to say. The difference is the data layer. If each page carries real, specific, sourced information a buyer wants, it earns its index slot. If it doesn't, we don't build it, which is why sets get killed in week two.
However many the data justifies, which is sometimes 80 and sometimes 3,000. Anyone quoting a page count before seeing your data is selling volume, not results.
Not if the pages are substantive, and that's what the quality gates enforce. We prune before launch, roll out in phases, and monitor indexation so problems surface at 50 pages instead of 5,000.
The good sets convert better than blog content, because the intent is higher. Someone searching "[your product] + [their tool] integration" is evaluating, not learning. The template is built for that moment.
Yes. We've built into WordPress, Webflow, HubSpot, Contentful, and custom stacks. Where the CMS can't handle the volume, we'll say so early and propose an approach that can.
Before you close the tab
The three reasons people don't book.
Every one of these gets said on a programmatic call. Here are the answers we give, in writing, before you spend 27 minutes on it.
Objection 01
"Isn't programmatic just thin content?"
It is, when the page is a template with a variable swapped in and nothing else. That is most of what gets built, which is why the tactic has the reputation it has.
The version that works puts something real on every page: your data, your integration specifics, a comparison a buyer cannot assemble themselves. If a page has nothing unique to say, we do not build it.
Objection 02
"Won't Google penalize it?"
Quality updates target scaled pages with no unique value, and they should. The mechanism is not the problem, the emptiness is.
We validate demand before building a template, and we cap the set at the point where the data runs out. Fewer pages, each of which earns its index slot.
Objection 03
"Our devs can build this."
They can, and they usually build it well. The part that goes wrong is upstream: which template spaces are worth building, how the set links together, and where the data stops supporting more pages.
We own the sizing, the architecture, and the template design. Your devs ship it into your stack, which is faster than us learning it.
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