Use case · Pipeline from search
Your traffic chart is green and your demo count is flat. We rebuild the keyword and prompt map around the queries that end in a vendor decision, rewrite the pages those buyers land on, and get graded on demos booked and trials started.
Demos booked · 90 days · CRM-verified
Why teams pick this use case
This is the most common reason a marketing leader books the call. Not "we want more content". One of these three is happening right now, and someone above you has noticed.
Sessions and impressions climb every month, the demo count doesn't move, and every QBR becomes a defense of the channel. The terms winning are not the terms buyers use when they are ready to buy.
Signups arrive, but they are students, job hunters, or curiosity traffic from the wrong region. Sales stops working the inbound queue, which makes the channel look even worse than it is.
You own the broad head term and lose every "best tool for [use case]" and "[competitor] alternatives" query. Those are the pages buyers read in the last week before they pick a vendor.
The diagnosis
Before we chase a keyword or a prompt, it goes through the kill test: after ChatGPT or Google answers this, does the buyer still need a vendor? If the answer is no, winning it produces a visit and nothing else. That single filter is why traffic and demos come apart, and why cutting queries usually raises pipeline.
On the reference engagement we tested 412 prompts and keywords and kept 37. The program that booked 59 demos chased 9% of the map its predecessor was chasing.
What we actually ship
Not a content calendar. A rebuilt map, rebuilt pages, and a rebuilt path from page to booked call, run by one senior team against one number.
Every keyword and prompt runs through the kill test before a word is written, so the map only holds queries that end in a vendor decision.
Moves: Share of buying queries
Solution-aware BOFU pages, hand-researched, SME-reviewed, and written for someone who arrives already educated.
Moves: Demo-intent traffic
Comparisons, alternatives, and best-of pages are the last thing a buyer reads. We take the ones you can own and the ones third parties control.
Moves: Shortlist inclusion
Ranking is half the job. The other half is what the page asks for and how hard it is to say yes.
Moves: Page to booked call rate
Wrong-fit signups are a targeting artifact. We narrow the queries and tighten the pages so sales trusts the queue again.
Moves: Lead quality sales will work
The forecast is set before kickoff on your funnel data, then we grade ourselves against it in writing every month.
Moves: Budget you can defend
How the 90 days run
Same engine as every other use case. What changes is the order of operations and what we grade first.
CRM and analytics wiring, technical audit, then the kill test across the full query and prompt set. You get the map, the killed list, and the forecast before anything ships.
Wave one recovers the pages closest to a purchase. Wave two takes comparison and alternatives. Wave three widens into the use cases and segments that convert, refreshing wave one as data lands.
Demos, trials, and source recorded every week. Monthly report compares actuals to the forecast and names what we are changing next, including what did not work.
The scoreboard
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
Demos booked, trials started, and pipeline your CFO can trace back to a source.
ML engineers and platform teams at large enterprises build assistants and voicebots on Rasa. Attribution recovery plus the full program: both channels compounded, AI search the steepest.
Virtual queues for universities, banks, hospitals and government. Six-month forensic audit: real lift after stripping out B2B holiday seasonality.
Approving thin-credit and no-credit buyers through dealerships. Zero to majority AI visibility in six weeks, outranking Capital One and Bank of America on the buying prompt.
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."
Hover to pause and read
Straight answers
If yours isn't here, bring it to the call. Same unpolished answer either way.
Pages ship from week two, citations move in weeks, and demos usually move inside the 90 days. The reference engagement booked 59 against a 10-demo forecast. Slower categories with 120-day cycles see the leading indicators first: demo requests from named accounts, then closed pipeline a quarter later.
Yes, and it is usually easier. When there is little traffic to protect, we can rebuild the map around purchase queries without unwinding a decade of content decisions. The forecast will be built on your funnel maths, not on a traffic multiple.
We do not run your paid budget. We do read it, because your search terms report is the cheapest evidence available of which queries convert to demos. If a term buys demos on paid, it earns a page.
Then we will say so in the first two weeks, and the fix is the map, not more pages. Wrong-fit signups are usually a targeting artifact: broad head terms plus an ungated trial. We narrow the queries, tighten the pages, and quality moves before volume does.
If you need leads next week, have no working sales motion, or cannot give a channel 90 days, don't hire us. This use case rewards teams selling considered B2B SaaS deals who want a durable channel, not a spike.
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