WE HAND YOU A REVENUE FORECAST BEFORE THE ENGAGEMENT, PIPELINE FROM GOOGLE & AI SEARCH BY DAY 90. and attribution from real conversion data FROM your CRm.
Where should we begin?
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The problem
BUYERS changed how they SHORTLIST software VENDORS. Your funnel, your metrics, and your reporting were built for the old way..
They ask ChatGPT, Perplexity, and Google's AI box, then shortlist whoever gets named. If you're not in the answer, the deal starts with a competitor.
Impressions up, sessions up, demos flat. The terms aren't solution-aware, so content spend reads as a cost center and the board stops believing the channel.
AI assistants strip referrers, so your CRM sees a trickle while buyers arrive in crowds. No proof, no budget. The channel dies in the QBR, not in the market.
The solution · The 90-Day AI Search Program
Every week ends with artifacts you can inspect: prompt maps, pages, citations, demos. If it doesn't move pipeline, it doesn't ship.
Technical audit, CRM and GA4 wiring, then the kill test on every keyword and prompt: after the AI answers, does the buyer still need a vendor? We only chase the ones that end in pipeline.
The kill test · Worth winning?
Hand-researched briefs become solution-aware articles and landing pages, written to convert demos, not to fill a content calendar.
Brief 041 · Payment-recovery page
H1 · Payment recovery software for SaaS
H2 · How recovery rates compare
AI lists reshuffle on every single run. Entity and structure work makes your presence the only constant: cited in 4 of 5 runs and climbing.
Citations landed · Run 2
Demos, pipeline, and revenue attributed to the campaign on one report, reconciled by the Two-Witness Rule. Quarterly business reviews re-grade the forecast. If a station under-ships, you see it the same week we do.
Demos booked · Attributed to SEO and AI search
Forecast first · Held to it
Every engagement opens with a 12-month forecast built on your funnel data. We set pipeline goals against it, then grade the program against those numbers every MONTH.
One lever separates the three: the share of search volume your pages capture. Everything else is your actuals, held flat: visit-to-demo rate, close rate, ACV. If the model can't clear a 4× return, we tell you before you spend a dollar.
12-month forecast · Realistic · 20% capture
Attribution · How we prove it
One rule: a channel gets credit only when the machines and your buyers agree. No modeled magic, no vanity metrics.
AI-sourced leads · Same funnel, three sources of truth
Witness one: referrer and UTM forensics · Witness two: "How did you hear about us?" · ChatGPT, Claude, Perplexity, Gemini
AI assistants strip referrers, so your CRM sees a trickle while buyers arrive in crowds. On one client funnel, the CRM's default attribution credited 78 AI-sourced leads. Buyers themselves named an assistant 328 times on the intake form. That gap is invisible pipeline, and it's why search budgets die in the QBR.
So we count every lead twice: referrer and UTM forensics on one side, the buyer's own words on the other. Reconciled, the real number came in at 382, 4.9× what the CRM reported by itself. Both witnesses agree, or we don't claim it.
Results
REAL Numbers from the monthly reports we send anyway. Full detail on the call, under NDA where required.

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.
The in-house math
Running this in-house means hiring a head of SEO, a link analyst, a SaaS writer, a data analyst, and someone to run the program. We priced it out. It's the first thing we show on the call.
Salaries only. Before tools, benefits, and two quarters of ramp.
The honest comparison
$99/mo and a prompt
Stalls: volume without pipeline
The same playbook, every client
Stalls: generic strategy, borrowed from another industry
Five roles, two quarters
Works, at $300K and month 7
GEO + SEO · One team
Forecast first · Reported monthly
Pricing
Numbers on the page. You'll know if we fit the budget before we ever talk.
30 days · One-time diagnosis
Best for: teams that want the full diagnosis, prompt map, and roadmap before choosing who executes it. Credited toward an engagement if you continue.
See Full PricingYou execute · We run the strategy brain
Best for: teams with in-house execution. You ship the work, we run SEO + GEO strategy and senior QA on top.
See Full PricingThe full engine · End to end
Best for: teams that want it all handled: strategy through execution, one invoice. Most engagements land at $10K+, scaling with scope.
Free GEO Marketing PlanFree · Playbook Vol. 01 · 2026
The field guide to generative engine optimization: the repeatable system that turns ChatGPT, Perplexity, Gemini and Claude into predictable pipeline. Seventeen pages, sources cited throughout.
Fit · Before you fill anything in
We say no often, and early. Reading this saves us both a call.
Also a fit: bootstrapped SaaS at $2M-$10M with founder-led marketing, or a growth-stage team rebuilding a stalled program.
If that's you, we'll say so on the first call and point you somewhere better. No sequence, no follow-up.
Who you work with
Justin Berg runs strategy on every engagement, and publishes the exact playbook free on YouTube, where you can audit it before you pay for it. No pods. No hand-off to a junior team after the sale.

Guides · Learn the playbook
The exact frameworks we run for clients, published in full with the mechanics intact. Audit us before you pay us.
Straight answers
If yours isn't here, bring it to the call. Same unpolished answer either way.
We start with the 90-Day AI Search Program: long enough to prove ROI, short enough to stay accountable. No long-term lock-in. Longer terms earn 10-15% discounts if you want them.
Generative Engine Optimization: getting named and cited when buyers ask ChatGPT, Perplexity, or Google's AI box. If your buyers research before they buy (they do), you need to be in those answers. It runs inside the same program, not as a separate line item.
The Two-Witness Rule. Witness one: referring URLs and UTM forensics. Witness two: "How did you hear about us?" on every intake form. A channel gets credit when both agree. In one funnel of 8,307 contacts, the CRM saw 11 AI-attributed leads while 809 buyers named an AI assistant. That 73× gap is why we run both.
Rankings and citations move in weeks. Demos usually move inside the 90 days (59 booked against a 10-demo forecast is the reference case). The compounding numbers, the $1.4M kind, take 12+ months. Anyone promising pipeline in 30 days is selling you something.
Our team covers five roles: head of SEO, link analyst, SaaS writer, data analyst, and program manager. Hiring those full-time in the US runs ~$290K+/yr in salary alone, plus two quarters of ramp. The receipt above is the math we walk through on the call.
If you need leads next week, have no working sales motion, or can't give a channel 90 days, don't hire us. This works for B2B SaaS teams selling considered deals who want a compounding 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