B2B SaaS SEO and AI search agency
The AI search agency B2B SaaS hires when pipeline matters.
we forecast how many demos & TRIALS Google and AI search can add to your pipeline. Then our team spends 90 days going after that number, and you grade us on PIPELINE ADDED, not KEYWORDS OR traffic.
Where should we begin?
Thought for 3s ›
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THE CHALLENGE WE HEAR FROM MOST CMOS
Your buyers are now shortlisting vendors on LLMs.
Nearly every CMO we talk to describes one of these three CHALLENGES.
You're not on the shortlist.
A prospect types "best [your category] software" into ChatGPT and gets five competitor names back. She books demos with two of them. You were never in the conversaton.
Traffic is down. So is pipeline.
Open any Search Console since last fall and you'll see the same cliff. Where Google shows an AI Overview, clicks fall by about 60%. You're building content that no longer serves it's purpose: pipeline.
You can't prove what's working.
AI assistants strip referrers, and many buyers actually show up as "Direct" traffic in attribution. No proof, no budget. Investment dies in the internal QBR, , because nobody could see it.
Forecast first
ROI forecasting before we start.
Every engagement opens with a 12-month forecast built on your CONVERSION data AND our research. We set a conservative pipeline goal against it, then grade the program against those numbers every MONTH.
We start by mapping every solution-aware prompt and keyword in your category. Then we put a forecast behind them: conservative, realistic, and aggressive cases, twelve months out, in demos and pipeline.
Read More on Forecasting →12-month forecast · Realistic · 20% capture
The 90-Day AI Search Program
The first 90 days, in the order they happen.
Every week ends with REAL DELIVERABLES: prompt maps, pages CREATED, citations. If it doesn't move pipeline, it doesn't ship.
Find the prompts that land you on the shortlist.
We map the whole universe of solution-aware and problem-aware prompts and keywords in your category, then run a kill test on each one: are LLMs recommending vendors in their results, or not? If not, it's out.
The kill test · Worth winning?
Build the pages that get you cited.
Alternative pages, head-to-head comparisons, use case and feature pages, and category listicles. 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
Win the citations.
Your top 30-40 buying prompts tell us exactly which sites ChatGPT, Claude, and Perplexity trust in your category, and where they're pulling information to list in their answers. We go get you mentioned on those sites through relationship-building and human-to-human outreach.
Citations landed · Run 2
Pipeline reporting based on your CRM data.
Demos, pipeline, and revenue attributed to the campaign on one report. Quarterly business reviews re-grade vs. forecast.
Demos booked · Attributed to SEO and AI search
The comparison
Four ways to run AI search.
AI tools
$99/mo and a prompt
- ✕Generic content that reads like every other AI feed
- ✕No strategy, no intent mapping, no revenue lens
- ✕Zero authority links. Tools can't earn placements
- ~Ships fast, into pages nobody asked for
Stalls: volume without pipeline
Other agencies
The same playbook, every client
- ✕Generalists who take ecommerce, local, and SaaS from one template
- ~GEO bolted on as an upsell, run by whoever has capacity
- ✕You meet the closer, then get handed to an account manager
- ✕Reports rankings and traffic, no answer for why AI leads never hit the CRM
Stalls: generic strategy, borrowed from another industry
In-house team
Five roles, two quarters
- ✓Knows the product, sits in your meetings
- ✓Full control of roadmap and voice
- ~$290K+/yr before tools, and slow to hire
- ~Links and AI optimization still need specialists
Works, at $300K and month 7
Rock the Rankings
GEO + SEO · One team
- ✓Strategy, content, links, and AI surfaces as one program
- ✓A 3-scenario forecast set before kickoff, graded monthly
- ✓Cited on the prompts that end in a shortlist
- ✓Two-Witness attribution wired into your CRM
Forecast first · Reported monthly
AttributioN: How we prove it
Attribution packaged into each campaign.
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
Nearly every client we onboard runs HubSpot or Salesforce with GA4, and none of those tools can see a demo that started in ChatGPT. So every month we take anonymized CRM data and re-bucket it on three signals: original source, landing page, and the "How did you hear about us?" field.
Results
Numbers from our clients' monthly reports.
REAL Numbers from the monthly reports we send. REVENUE-focused WINS FROM ACTUAL CLIENTS.
AI search became a demand channel in one quarter
Organic sessions, AI referrals, category presence and attributed demand all moved together one quarter after launch.
Four months in, running ahead of forecasted demos
Nearly half the demo pipeline was filed as Direct. The Two-Witness Rule recovered it, and the page program kept feeding it.
AI search and organic became the growth engine
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.
Free · Playbook Vol. 01 · 2026
Get the B2B SaaS GEO Playbook.
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.
- Why act nowAI vendor discovery went from 24% to 84% of B2B SaaS CMOs in twelve months.
- The three-layer frameworkHow we tackle AI search for compounding results and pipeline in the first 90 days.
- Two forensic case studiesOutranking an entrenched competitor in AI search for buying-intent prompts, and an attribution recovery that found the pipeline every dashboard missed.
Fit · Before you fill anything in
Who this works for, and who it doesn't.
We say no often, and early. Reading this saves us both a call.
Great fit
- B2B SaaS, Series A to Series C$2-3M to $100M+ 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.
- Organic is underperforming the investmentNon-branded traffic is thin for your stage, competitors hold the category terms, and the AI answers don't name you.
- 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.
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.
- Traffic is the KPIWe align on pipeline, or we don't work together.
Who you work with
Founder-led. Actually.
I've been in SEO since 2007 and have ran Rock The Rankings since 2018. You won't get a sales call with me and then a hand-off to a junior team.
Asked on every call
Straight answers.
If yours isn't here, bring it to the call.
Most clients start with the 90-Day Program. It's long enough to prove the forecast and short enough to stay accountable. No lock-in after that. Twelve-month terms are discounted; details on the pricing page.
The strategy, the prompt map, and every page brief are built by hand from interviews with your team. Drafts are written by senior B2B SaaS writers and edited before you see them. We use AI for research and QA, and never for the pages.
Monthly, from anonymized CRM data, re-bucketed on original source, landing page, and the "How did you hear about us?" field. AI search gets credit only when the machine's signals and the buyer's answer agree. It isn't perfect, but it's far closer than leaving 90% of AI demos filed under Direct.
Faster than SEO. AI search visibility moves in weeks where Google used to take six to twelve months. Demos usually move inside the 90 days. The compounding numbers take a year. Anyone promising pipeline in 30 days is selling you something.
The program covers five roles: head of SEO, link and citation analyst, SaaS writer, data analyst, and program manager. In the US that's $290K and up in salary before tools, and about two quarters before the first page ships. The comparison above is the version we walk through on the call.
If you need leads next week, don't have a 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 channel that compounds.
Next step
Your free GEO plan, built on your actual 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.
What we walk through