Use case · Diagnosis and recovery

Diagnose the drop before you rewrite anything.

Impressions holding while clicks fall is not the same problem as losing rankings, and neither is the same as a migration you broke yourself. We separate the four causes first, then fix in the order that returns pipeline fastest.

Cause named per clusterFix order by pipeline impactFounder-led
Real client results. Want results like these?

Recovery curve · demo-producing traffic

Pre-dropDropWeek 1Day 90
Cause named per URL clusterWeek 1
Fastest fixes · redirects, cannibalisationWeeks 2 to 4
Recovery graded against baselineWeekly
TargetPast the previous high

Illustrative recovery shape · every curve is graded against your own pre-drop baseline

The problem you're living with

Something broke, and everyone has a different theory.

Five of the last fifteen prospects were living this, usually after a run of success with programmatic pages. The theories in the room are almost never the cause.

01

"Impressions are flat. Clicks are gone."

The classic AI Overview pattern. You still rank, the answer box satisfies the query above you, and the click never happens. Rewriting the page does nothing, because the page was never the problem.

What it costs: a channel that looks broken but is not
02

"We lost keywords we used to own."

Programmatic templates or thin pages that ranked for years stop ranking. It reads like a penalty and is usually a quality threshold moving under a page that never had much behind it.

What it costs: the cheapest traffic you had
03

"It started right after the relaunch."

Timing gets blamed on an update when the real cause is redirects, consolidated pages, or templates that dropped the elements that converted.

What it costs: months spent fixing the wrong thing
Four causes, four fixes. Guessing costs a quarter

Why it is still broken

The obvious fixes are guesses.

The instinct is to act fast on the first theory. Refresh everything, disavow links, blame the update, rebuild the stack. Four possible causes, one fix each, and applying the wrong one costs a quarter.

Fix 01 · Refresh everything

"Update all the content."

A bulk refresh burns the quarter and changes pages that were never the problem. If the cause was a technical regression or a lost link profile, republishing dates fixes nothing and destabilizes what still worked.

Result: a quarter spent, no recovery

Fix 02 · Disavow links

"It has to be a link problem."

Disavowing is the most common reflex and the rarest real cause. Removing links you earned, or filing against a penalty you never had, can deepen the drop.

Result: a self-inflicted second decline

Fix 03 · Blame the update

"It was an algorithm update."

Sometimes true, and unfalsifiable without a diagnosis. Naming an update is a way to stop investigating, which is why so many recoveries stall at month three.

Result: an explanation instead of a fix

Fix 04 · Rebuild the stack

"We will replatform and start clean."

A rebuild resets the variables you needed to compare against and stacks migration risk onto a site already underwater.

Result: two problems where there was one
None of them start with a diagnosis, and every month in the wrong theory hands the rankings to whoever kept theirs

The diagnosis

Four causes. They do not share a fix.

Every drop we have diagnosed falls into one of four buckets, and the cost of guessing is a quarter of work aimed at the wrong thing. AI Overview click loss, where rank holds and clicks fall. Algorithmic quality loss, where thin or templated pages fall below a threshold. Self-inflicted damage from a migration, consolidation, or template change. And internal competition, where your own pages split the signal or an inflated index dilutes it. We separate them per URL cluster using impressions against clicks, rank stability, timing, and index data, then fix in the order that returns demo-producing traffic fastest.

Rank stable, impressions flat, clicks downAI Overview click loss
Thin or templated pages losing rank togetherQuality threshold
Drop starts on the relaunch dateSelf-inflicted · fastest fix
Two of your pages trading positionsCannibalisation · fast fix

Ahrefs sampled 75,969 sites: AI search sends 0.24% of referrals against Google's 40%. But AI referrals convert 3-4× better, so the recovery target is demo-producing traffic, not sessions.

Causes separated per clusteryes, before any fix
Fix orderby pipeline impact
Fastest winsredirects and cannibalisation
Slowestquality and authority rebuild

What we actually ship

Everything from diagnosis to a recovery you can hold us to.

Diagnosis is the deliverable that makes the rest cheap. We publish the cause before we propose the fix.

01 · The forensics

Name the cause per cluster

Impressions against clicks, rank stability, timing, and index data, cluster by cluster rather than site-wide.

  • Cluster-level drop analysis
  • Timeline against known events
  • Rank vs. click divergence
  • Cause published per cluster

Moves: A diagnosis you can act on

02 · The exposure

Audit AI Overview loss

Which queries now get answered above you, and which of those were ever going to produce a demo anyway.

  • AIO presence per query
  • Click-loss quantified
  • Kill test on affected queries
  • Reallocation plan

Moves: Effort aimed at winnable queries

03 · The cleanup

Fix what you did to yourself

Redirects, consolidation damage, template regressions, and index bloat: the fastest recoveries available.

  • Redirect and chain repair
  • Template parity restoration
  • Cannibalisation resolution
  • Index bloat pruning

Moves: Fast recovery

04 · The quality

Triage the thin pages

Consolidate, rewrite, or retire. Thin pages that used to rank are not a rewrite queue by default.

  • Page-level keep, merge, retire
  • Rewrites with real research
  • SME input where claims are thin
  • Retirement with redirects

Moves: Durable rankings

05 · The machine

Technical and render checks

Crawl, render, and structured data problems that quietly cap everything else.

  • Crawl and render audit
  • Structured data repair
  • Core Web Vitals checks
  • AI crawler access

Moves: The ceiling raised

06 · The plan

A recovery curve with dates

Milestones, expected timing, and monthly grading, so recovery is a plan rather than a hope.

  • Baseline and target set
  • Milestones with dates
  • Monthly vs. plan reporting
  • Causes revisited if flat

Moves: Accountability

How the 90 days run

Diagnose in week one. Fix in order of return.

Same engine as every other use case. What changes is the order of operations and what we grade first.

01

Week 1 · Diagnose

Cause named per URL cluster with the evidence attached, plus a baseline and a recovery target. You get this whether or not you continue.

Artifact: diagnosis document, baseline, recovery plan with dates
02

Weeks 2 to 12 · Fix in order

Self-inflicted damage and cannibalisation first because they return fastest, then quality triage, then the authority and citation work that takes longer to compound.

Artifact: fixes shipped per cluster, weekly recovery tracking
03

Always on · Verify

Weekly comparison against the plan, with any cluster still flat getting a revised cause rather than more of the same treatment.

Artifact: weekly recovery curve vs. plan

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.

Metric 01 · Primary
Demos booked

Counted in your CRM, not in analytics. Split by source so the channel stands on its own.

Graded monthly vs. forecast

Metric 02 · Self-serve
Trial starts

For self-serve and sales-assist motions, tracked separately from demos so neither hides the other.

Graded monthly vs. forecast

Metric 03 · Quality
Demo to MQL rate

Whether the demos are workable. Protects against a volume win that sales quietly ignores.

Reported with the raw count

Metric 04 · Finance
Attributed pipeline

Pipeline traced to a source under the Two-Witness Rule, with raw always shown next to corrected.

Reported to your board

Fit · Before you fill anything in

Who this works for, and who it doesn't.

We say no often, and early. Recovery work needs a measurable drop and access to fix it. 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.
  • A drop you can point to in the dataNon-branded traffic, rankings, or pipeline fell, and there is enough history in Search Console and analytics to diagnose it.
  • 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: a recovery someone already attempted, where the theory turned out to be wrong.

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.
  • The traffic was never thereIf non-branded organic never worked, this is a build engagement, not a recovery one.
  • 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."

GM
George Makkoulis
Co-Founder at Keragon

"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."

LB
Luc Bouvier
Head of SEO at MoonPay

"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."

BD
Brian Dean
Co-Founder at Exploding Topics (Acquired)

"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."

EU
Eric Unterberger
Digital Marketing Manager at Webconnex

"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."

TK
Tommy Klouwers
Senior Marketing Manager at Bizzabo

"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."

DS
Dahlia Snaiderman
Senior Content Manager at Toast POS

"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."

EG
Eddie González
Marketing Lead at SaltyCloud

"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."

AA
Adil Aijaz
Founder & CEO

Straight answers

Asked on every call.

If yours isn't here, bring it to the call. Same unpolished answer either way.

01How fast can traffic come back?+

It depends entirely on the cause. Redirect damage and cannibalisation often recover in weeks. Quality-driven loss takes a quarter or more because the pages have to genuinely improve. AI Overview click loss usually does not come back at all, and the honest answer there is to reallocate effort to queries that still produce a click.

02Is it always an algorithm update?+

Rarely, in our experience. Updates get blamed because the timing is public and convenient. More often it is a migration, a template change, an index that quietly tripled, or two pages competing. Those are also the fastest things to fix, which is why diagnosis comes before any content work.

03What about our programmatic pages?+

They are the most exposed, and that is the pattern we hear most: impressions up, clicks down. Some templates are worth rebuilding with real differentiation. Many are worth retiring, because they were only ever ranking on volume in a market where an assistant now answers the query directly.

04Will you tell us to delete content?+

Sometimes, yes, with redirects and a documented decision per URL. An inflated index dilutes the pages you actually want ranking. We will not do it silently and you sign off on the retirement list.

05Who is this wrong for?+

If the drop is three weeks old and you want it fixed by Friday, we are not the right call. Diagnosis takes a week and the fixes are sequenced by return, not by urgency. It is also wrong if you will not act on the diagnosis, because the diagnosis is most of the value here.

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.

Your plan · Walked through live
Founder-built
Justin Berg
Founder · Rock the Rankings

What we walk through

01Your prompt map: the buying prompts and queries that land you on a vendor shortlist.
02Where you show up today vs. your three closest competitors and where the gaps exist.
03The 90-day sequence: what we would ship, in what order.
04The 3-scenario ROI forecast, run on your actual numbers.
No SDRs · ONLY SENIOR OPERATORS · 300+ B2B SAAS ENGAGEMENTS