B2B buyers have every reason to doubt a new channel. So we keep the risk on our side: forecast first, validate next, scale last.
See the revenue forecast before you sign · 90-day validation period · KPI measured in Pipeline
Operating Model
We don't win you over with a logo wall — we lay the whole operating model out in the open: the forecast before you sign, the exit clause during validation, the weekly cadence as we scale. Trust shouldn't come from a slogan. It should come from a process you can check.
Before you sign, we build a GEO opportunity forecast from your own market data: target prompt volume, attainable citation rate, projected Pipeline contribution. What you see isn't a pitch — it's a hypothesis you can put to the test.
Using real prompt data from your market, competitor citation benchmarks, and your own conversion funnel, we calculate a forecast range with an upper and lower bound. That range goes into the agreement in black and white, and it becomes the bar to clear during the 90-day validation period — miss it, and the responsibility is ours, not yours.
What you're looking at isn't a proposal. It's a hypothesis you can verify.
「How do you prove the forecast holds up?」
All three of our published results come with a side-by-side account of "forecast range vs. actual result" — how the numbers were derived and where they landed, so you can check the math yourself.
See forecast vs. actual in the results →The first 30 days deliver a full audit and fire up the content engine. Then, across a 90-day validation period, we prove the hypothesis with weekly citation tracking. Not what you expected? You can walk away anytime.
Here's why we dare to put that exit clause in the contract: when we carry the risk, the forecast has no room to inflate.
Once validation passes, we move into ongoing operations: weekly tracking → gap diagnosis → 3-week rewrite loop. Citation rate becomes a predictable growth curve, not a one-time firework.
Weekly Tracking
Citation rate and answer share scanned across six engines — gaps surface in real time
Gap Diagnosis
Ranked by Pipeline impact, deciding which prompts are most worth going after
3-Week Rewrite Loop
Diagnose → rewrite → validate. Data-driven iteration until you get cited
Citation rate becomes a predictable growth curve — not a one-time firework.
Two growth engines for the scaling phase:
Transparency
You shouldn't have to guess what we're doing. The cadence is fixed and predictable, and Friday's report tells you in black and white: how much citation rate moved, and how far you still are from the forecast range.
Named Deliverables
Deliverables aren't the outcome — so every one of them serves citation rate and Pipeline directly, and spells out when you get it and what question it answers.
The full calculation of target prompt volume × attainable citation rate × projected Pipeline contribution, with upper and lower bounds and every assumption explained.
A complete map of the questions your buyers actually ask across six AI engines, layered and labeled by purchase intent and funnel stage.
The core audit deliverable: which prompts you're missing from, why competitors get cited, and the attack priority for every gap.
A dashboard of citation rate and answer share across six engines — watch your AI visibility the way you'd watch a stock.
Citation gaps found in tracking go into a fixed queue, each item labeled with the diagnosed cause and the expected change in citations.
This week's citation shifts, new citation sources, and the comparison against the forecast range — in black and white, straight to your inbox.
Measurement Framework
The first two layers are the fundamentals of visibility. The third is the number we answer to your CFO for.
The share of AI answers to your target prompts that cite your brand — the fundamental of AI visibility, scanned weekly.
The share of high-purchase-intent prompts where you become the primary recommendation — it decides whether you make the buyer's shortlist.
Inbound demos, SQLs, and Pipeline value — the only outcome layer written into the validation clause.
How do you measure GEO performance?
We track three layers of metrics every week: (1) citation rate — the share of AI answers to your target prompts that cite your brand; (2) answer share — the share of high-purchase-intent prompts where you become the primary recommendation; (3) business outcomes — inbound demos, SQLs, and Pipeline value. Traffic isn't the KPI. Revenue is.
Traffic isn't the KPI. Revenue is.
What We Believe
Buyers no longer open ten blue links and compare for themselves — AI hands them the answer and the recommendation outright. Showing up in the answer is closer to the close than showing up in the rankings.
AI engines cite content with real entities, real data, and a real point of view — not pages that stack keywords. For the first time, GEO gives "doing the content well" a return you can measure.
There's no one-click liftoff tool. Citation rate comes from a fixed rhythm of weekly scanning, diagnosis, and rewriting — we use AI to accelerate that operation, not to replace it.
On the diagnostic call, we deliver a live snapshot of your brand's visibility across six AI engines — and that snapshot is the first input into your revenue forecast. Even if we don't work together, the snapshot is yours.
Book a 30-Minute GEO DiagnosticNothing to prepare · the diagnostic snapshot is delivered on the spot
