Use case · Content at volume
Volume that survives a quality update.
Most content programs fail on judgment, not word count. We run hand-researched briefs, real SME interviews, and senior editing on every piece, and we only write against queries that survived the kill test.
Selectivity · reference engagement
412 → 37Prompts and keywords tested, then kept. The program that booked 59 demos wrote against 9% of the map its predecessor was chasing.
Source · RTR client reporting · reference 90-day engagement
The problem you're living with
You are publishing. Nothing is compounding.
Seven of the last fifteen prospects had an agency reporting that content was performing while they could see pipeline was flat in their own data.
"Our agency says it is working. It is not."
The report shows published pieces, keywords tracked, and traffic up. Your own dashboard shows inbound falling. Nobody can point to a piece that produced a demo, because nothing was ever graded on that.
"It reads like everyone else's."
Volume produced from a template and a prompt sounds like the category average, which is exactly what an AI assistant already says for free. There is nothing in it worth quoting or citing.
"Our experts have no time."
The only genuinely scarce input is your team's expertise, and it is trapped in sales calls and support threads. Without it, writers guess, and the guess is what gets published.
Why it is still broken
The obvious fixes add output, not returns.
The instinct is to raise throughput. More writers, a lower rate, an AI drafting tool, a bigger calendar. Every one of them increases volume against the same unfiltered list.
Fix 01 · Hire more writers
"We need more capacity."
Capacity was never the constraint. Research and selection were, and adding writers multiplies output against a list that was not worth writing.
Fix 02 · Cut the rate
"We can get this cheaper per article."
A lower rate buys generalist output on specialist topics. Those pages do not get cited, do not get linked, and do not survive a quality pass.
Fix 03 · Draft with AI
"AI can handle the first draft."
Models write from the same public summary everyone else has. Without proprietary research or an expert review pass, the output is indistinguishable from your competitors' output.
Fix 04 · Expand the calendar
"Let us go from eight a month to twenty."
Twenty thin pages compete with each other, split internal links, and dilute the handful that convert. The library gets bigger and less trusted at the same time.
The diagnosis
Write less, research more, edit harder.
Scale is not the problem. Selection is. Every brief starts with a query that survived the kill test, so nothing gets written for a question an assistant already answers completely. Then the brief carries the research: the competing pages, the claims to beat, the specifics to include, and the SME questions to ask. A writer with that brief produces something quotable. A writer with a keyword and a word count produces the category average. Volume follows once the pipeline of briefs and SME input exists, and not before.
We tested 412 prompts and keywords and kept 37. Solution-aware pages from that set lifted trial starts 3.1× and the program booked 59 demos against a 10-demo forecast.
What we actually ship
Everything between a query and a page that earns.
One senior team, one standard. If it does not move pipeline, it does not ship.
Only write what survives
Every topic runs through the kill test, so the calendar is built from queries that end in a vendor decision.
- Kill test on every query
- Solution-aware prioritisation
- Killed list published
- Cluster planning by segment
Moves: Pipeline per published piece
Research before writing
The brief carries the competitive read, the claims to beat, the specifics required, and the questions for your SME.
- Competing-page teardown
- Required claims and numbers
- SME question set
- Internal link plan
Moves: Quality floor
SME interviews that respect calendars
Thirty focused minutes per cluster, recorded and mined, rather than open-ended requests your team will never action.
- 30-minute recorded interviews
- Sales-call and support mining
- Claim verification with your team
- Quote capture for citations
Moves: Genuine differentiation
Senior editing on every piece
A person accountable for accuracy, structure, and whether the page earns the demo it asks for.
- Structural edit
- Fact and claim check
- Quotability pass for AI
- CTA and conversion review
Moves: Publish-ready without your review
Refresh, prune, and link
Existing content is usually the cheapest win available: refresh what is close, prune what dilutes, link what converts.
- Refresh queue by opportunity
- Cannibalisation cleanup
- Pruning with redirects
- Internal linking into demo paths
Moves: Compounding, not accumulation
Programmatic where it earns it
Templates for integration, vertical, and comparison sets once the core pattern is proven to convert.
- Programmatic templates
- Integration and vertical libraries
- Quality gates per template
- Index management
Moves: Coverage without headcount
How the 90 days run
Selection, then production, then upkeep.
Same engine as every other use case. What changes is the order of operations and what we grade first.
Week 1 · Select
Kill test across the full query set, cluster planning by segment, and the first briefs researched before a single piece is commissioned.
Weeks 2 to 12 · Produce
Five to ten pieces a month, each with SME input and senior editing, shipped in waves that start closest to the purchase and widen outward.
Always on · Upkeep
Refresh queue, cannibalisation cleanup, and internal linking run alongside new production, because compounding beats accumulation.
The scoreboard
What we grade ourselves on.
Set before kickoff on your funnel data, graded monthly in writing. If the model cannot clear a 4× return, we tell you before you spend a dollar.
Counted in your CRM, not in analytics. Split by source so the channel stands on its own.
Graded monthly vs. forecast
For self-serve and sales-assist motions, tracked separately from demos so neither hides the other.
Graded monthly vs. forecast
Whether the demos are workable. Protects against a volume win that sales quietly ignores.
Reported with the raw count
Pipeline traced to a source under the Two-Witness Rule, with raw always shown next to corrected.
Reported to your board
Results · From the monthly reports
Named clients, published numbers.
Content is the vehicle, not the goal. These are the pipeline outcomes it produced.
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 forecast
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.
Fit · Before you fill anything in
Who this works for, and who it doesn't.
We say no often, and early. If the ask is word count, this is the wrong page. Reading this saves us both a call.
Great fit
- B2B SaaS, Series A to Series D$2-3M 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.
- You need output that compounds, not output that shipsThe bottleneck is research and selection, and you want fewer pages that earn rather than more pages that sit.
- 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: an in-house team publishing consistently with nothing to show for it.
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.
- You want volume without strategyA per-article rate card with no selection layer is exactly what we decline, even when the budget is there.
- 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.
In their words
The people who signed off on it.
"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 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 and team quickly figured out what needed to be done and helped us implement his suggestions on the site."
"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."
"They simply get SEO: which levers to pull and when. During my search for the right partner I already had a pretty clear idea about what was needed, and they shared a very similar vision."
"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."
"We set out to get valuable backlinks and they have just been a fantastic partner in making that happen. It's been an amazing experience working with Rock The Rankings, and I highly recommend that you try them out."
Straight answers
Asked on every call.
If yours isn't here, bring it to the call. Same unpolished answer either way.
Five to ten is the normal range, and we would rather ship five that earn than fifteen that fill a calendar. The number is set by how many queries survive the kill test and how much SME time we can get, not by a content quota.
For research assembly and first-draft scaffolding, yes. For the claims, the expertise, and the final text, no. A page that reads like the category average is invisible to both buyers and models, and the whole point of this use case is to publish the thing an assistant cannot generate for free.
Senior B2B SaaS writers with a researched brief, then a senior editor accountable for accuracy and conversion. You get named people, not a rotating pool, and you can veto a writer.
Thirty minutes per topic cluster, recorded, is the ask. We also mine sales calls, support threads, and existing recordings first, so we arrive with specific questions rather than "tell us about the product". Where we truly cannot get expert input, we say so and adjust what we claim on the page.
If you need publishing volume for its own sake, or you want content produced without any input from your team, hire a mill. This use case is slower to start and it is the only version that compounds.
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