Use case · Shortlist displacement
The problem is rarely silence. It is that the same three names come back every time. We tear down the sources feeding that answer, take them one by one, and track share of answer until the shortlist changes.
Displacement · 7 tracked engines · 6 weeks
0→60%A pre-IPO specialty lender went from absent to a majority of tracked LLM answers in six weeks, on prompts where two national incumbents were the standing answer.
Source · RTR client reporting · pre-IPO lender, 6-week window
The problem you're living with
This is the sharp version of the most common pain we hear. Not invisibility, substitution, and it usually gets discovered by someone senior.
Re-run the prompt ten times and the same two or three names appear. That consistency means the model is not guessing, it is repeating a well-corroborated pattern that does not include you.
The answer is built from best-of posts, review sites, and roundups you have no presence on. Your own comparison page never gets read, because the assistant never reaches it.
Reps get told "we are going with X" in the first call. The evaluation happened before you were contacted, in a conversation you had no presence in.
Why it is still broken
The instinct is to argue harder. A battlecard, a comparison page, a feature-parity chart, more sales enablement. All of it lands after the buyer already has an answer, and none of it reaches the source that gave it to them.
Fix 01 · Better battlecards
By the time it is a sales objection, the model already named someone else. Enablement fights the symptom one deal at a time and never touches the source that produced it.
Fix 02 · One comparison page
One page against an incumbent with dozens of citing sources is not a contest. Comparison surfaces are won on breadth and third-party corroboration, not on a single well-written page.
Fix 03 · Match them on features
Buying answers are assembled from what sources say, not from your feature table. Parity you assert about yourself carries no weight against parity a third party confirms.
Fix 04 · Bid on their brand
Brand bidding rents attention beside their answer while their organic and AI position keeps compounding. Stop the spend and the position is exactly where it was.
The diagnosis
When an assistant names a competitor consistently, it is summarising a set of documents. So we work backwards. Re-run the prompt across engines, capture every cited domain, and sort them into three piles: sources we can be included in, sources we must outrank, and sources the competitor effectively owns. Then we take them in order of how much each one is doing to hold that answer in place. It is unglamorous, and it is the only thing that reliably moves an entrenched answer.
On the reference engagement, 4 new buying prompts flipped and the brand reached 7 of 7 tracked engines, on queries previously owned by two national incumbents.
What we actually ship
We do not ask the model to prefer you. We change what it reads.
Every cited domain, per prompt, per engine, recorded across repeated runs so you can see which sources are actually holding the position.
Moves: A target list built on evidence
Inclusion where an editor will take an update, outranking where the page is winnable, presence where a profile is thin.
Moves: Sources that name you
Alternatives and head-to-head pages are where a switcher lands. If the competitor owns yours, they get the last word.
Moves: Switcher capture
Models repeat specifics. A named segment, a number, and a limit are quotable. Adjectives are not.
Moves: Quotable difference
Displacement is measured relative to a named competitor set, not in the abstract.
Moves: Share of answer
Displacement should show up as pipeline from comparison and alternatives queries, not just a nicer screenshot.
Moves: Pipeline from switchers
How the 90 days run
Same engine as every other use case. What changes is the order of operations and what we grade first.
Prompts run across five engines, every cited domain captured, competitor share of answer baselined, and the source list prioritised by how much each one holds the position.
Outreach and inclusion work run in parallel with comparison and alternatives pages. Each landed source is re-tested against the prompt so you can see what actually moved the answer.
Answers reshuffle, so displacement is maintained, not finished. Weekly re-runs, archived answer text, and alerts when a prompt flips in either direction.
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
Displacement is the hardest version of this work. These are the receipts.
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.
Fit · Before you fill anything in
We say no often, and early. Displacement only works when there is a real incumbent and a real difference. Reading this saves us both a call.
Also a fit: a strong product that consistently loses the last week of the evaluation.
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
"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
If yours isn't here, bring it to the call. Same unpolished answer either way.
Yes, and it is usually the first artifact we hand over. We run your real buying prompts across five engines and give you every cited domain per answer, plus how consistently each one appears. That list is what the whole program is built against.
Longer than getting named for the first time. The reference case flipped its first prompt in five days and held majority visibility at six weeks, but that was a category where the incumbents had no category-specific content. Where an incumbent owns the review sites and the roundups, plan on a quarter to move share and longer to hold it.
No, and it would not work if it were. Models reward corroborated specifics, so the work is making an accurate, checkable claim about who you are better for. We state limitations on your own pages, because a claim that survives scrutiny is the one that gets repeated.
Then we narrow the ground. There is almost always a segment, integration, price point, or compliance requirement where you are the right answer, and winning that honestly beats contesting the whole category badly. If we cannot find that ground, we will tell you.
If you have no meaningful differentiator, or you cannot name the competitor you want to displace, this will not work. It also needs 90 days minimum: source capture compounds, and there is no version of it that pays off in three weeks.
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