The ChatGPT SEO Agency
Get named when your buyer asks ChatGPT.
It is the first place most buyers now ask who to shortlist. Two different systems decide whether you appear: what it retrieves live, and what it already learned. We work both.
SEO & AI search attributed pipeline · CRM-verified
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Why they come to us
Why B2B marketing leaders take the call:
Nobody books this call because ChatGPT is interesting. They book it because one of these three is happening right now.
"We asked it who to shortlist. We were not there."
Three competitors came back in the answer and you did not. Nothing in your analytics told you, because there is nothing to see when you are absent.
"It describes us wrong."
It names you but gets the category, the pricing model or the ideal customer wrong, because the sources it leaned on are outdated or were written by someone else.
"Reps hear it constantly. The CRM never does."
Buyers say they found you through ChatGPT and your CRM files them as Direct, because the referrer does not survive. The channel producing demand looks like nothing.
Where we actually work
Everything you need to be the answer it gives.
Getting cited in ChatGPT is six disciplines run as one system: the pages it retrieves, the sources it trusts, and the proof it produced pipeline.
AI search optimization
Find the prompts your buyers actually type, then engineer your way into the answers across every engine that matters.
- Prompt mapping and kill tests
- Answer-page architecture
- Citation tracking across 5 engines
- Competitor and category watch
Moves: Share of AI answers
Content strategy and production
Hand-researched pages written to convert a demo and structured so a model can quote them cleanly.
- Solution-aware keyword research
- BOFU, comparison and alternative pages
- Senior editing and QA on every piece
- Refreshes, pruning, internal linking
Moves: Demo-intent traffic
Technical SEO and agent readiness
The plumbing that lets both crawlers and AI agents read, trust, and act on your site.
- Full technical audit and fixes
- Structured data and entity work
- llms.txt and AI crawler access
- Core Web Vitals and render checks
Moves: Crawl, index and quote rate
Authority and citation building
Models cite sources they already trust. We go earn the placements that make you one of them.
- DR 50-80+ authority placements
- Digital PR and expert commentary
- Review-site and roundup presence
- Monthly citation velocity reporting
Moves: Trust the models inherit
Attribution and reporting
AI assistants strip referrers. We rebuild the trail so finance can see what the channel actually did.
- CRM field and GA4 wiring
- Intake-form self-reported capture
- Two-Witness reconciliation
- Monthly board graded vs. forecast
Moves: Budget you can defend
Programmatic and expansion
Once the core converts, we template it: integrations, verticals, personas, comparisons, built clean enough to last.
- Programmatic page templates
- Integration and vertical libraries
- Persona and pain-first pages
- Quarterly strategy re-plans
Moves: Coverage without headcount
The process · The 90-Day AI Search Program
The process, step by step.
Every week ends with artifacts you can inspect: prompt maps, pages, citations, demos. If it doesn't move pipeline, it doesn't ship.
Discover the money prompts and keywords
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?
Build the answer pages
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
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
Report and reconcile
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
Results · From the monthly reports
Real case studies, not screenshots.
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.
In their words
What our clients say.
Not curated snippets from a review widget. Named people, at named companies, about work you can read above.
"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."
"I have been impressed with Justin and team's knowledge, work ethic and commitment to improving SEO. I have been in the digital space for nearly 20 years across different verticals and Rock the Rankings is the only SEO agency that I have worked with that has made a meaningful impact to the associated business.
If I found myself at another company, needing help with SEO, Justin would be my first call"
"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."
"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 & team quickly figured out what needed to be done and helped us implement his suggestions on the site.
Forecast first · Held to it
Three scenarios, before we start.
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 quarter.
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, and ACV. If the model can't clear a 4× return, we tell you before you spend a dollar.
12-month forecast · Optimistic · 30% capture
Reference case: forecast said 10 demos by day 90. The program booked 59.
The other side of the model
Doing nothing has a price too.
Every month you wait, the answers get written without you. Pick your average contract value and see what one quarter of that costs, at the realistic scenario: 20% capture, 22% close.
Pipeline that goes to someone else
Close rate held at 22%, capture at the realistic 20% scenario, applied to the ACV you picked. On the call we rebuild all three on your actuals, and if the model doesn't clear a 4× return we tell you that instead of selling you.
This is not a delay. It is a transfer. Three things compound against you in the exact window you spend deciding.
The 90 days start at kickoff, not at the decision. A quarter of waiting doesn't pause the results. It moves them a quarter later, permanently, and hands the ones in between to whoever didn't wait.
The full scope
Everything it takes to get named in the answer.
Every item below is in scope, run by us, reported weekly. See something missing? Bring it to the plan and it goes in.
Pricing · Every number public
What it costs, before you ask.
Three engagements, two ways to start smaller. Rates shown are the 90-Day Program rate. Month-to-month is always available, and a 12-month commitment is lower again. No percentage of ad spend, no per-article upsells.
You execute, we run the strategy brain and QA every brief.
- ✓SEO and GEO strategy
- ✓Prompt mapping and AI visibility audit
- ✓Brief review and senior QA
- ✓Two-Witness attribution
The full engine, end to end. We run it, you approve it.
- ✓Everything in Strategy, plus:
- ✓Content production, BOFU and comparison pages
- ✓Links and citation velocity
- ✓AI visibility monitoring across every engine
An aggressive run at owning every buying answer in your category.
- ✓Everything in Done-for-You, plus:
- ✓2× content and link velocity
- ✓Custom illustrations and multimedia
- ✓Monthly founder strategy calls and QBRs
The honest comparison
Four options. Three stall.
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
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 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.
- 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.
Also a fit: bootstrapped SaaS at $2M-$10M with founder-led marketing, or a growth-stage team rebuilding a stalled program.
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.
- 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.
Straight answers
Asked on every call.
If yours isn't here, bring it to the call. Same unpolished answer either way.
Two paths, and they behave differently. When it browses, it retrieves live pages and cites them, which behaves much like search and responds to the same work. When it answers from training data, it draws on what was widely written about you across the web, which responds to authority and citation building instead. Real answers usually mix both.
No, and anyone who guarantees it is selling something else. What we can do is make you the best-supported answer to a defined set of buying prompts, then track citation rates on those prompts over time so you can see the trend rather than guess at it.
It overlaps heavily and diverges in one important way. Ranking is about a page. Being named is about a claim, and a claim needs corroboration from sources you do not control. That is why authority and citation building sit inside every engagement.
We re-run a fixed set of your buying prompts on a schedule and record whether you were named, in what position, and which sources the answer used. Same prompt set every time, so the numbers are comparable week to week.
Better than most channels, in the engagements we can measure, because the buyer arrives having already been told you are a credible option. The problem is not conversion, it is attribution, which is what the Two-Witness Rule exists to fix.
Before you close the tab
The three reasons people don't book.
Every one of these gets said on a call. Here are the answers we give, in writing, before you spend 27 minutes on it.
Objection 01
"Our last agency failed. Why would this be different?"
Fair. Most agencies sell activity, so there's nothing to fail against. We've run this with 300+ B2B SaaS companies and we report on pipeline and revenue, not traffic and rankings.
The difference is the forecast. We set it before kickoff on your funnel data, then grade ourselves against it in writing every month. If the model can't clear a 4× return, we tell you before you spend a dollar.
Objection 02
"Our in-house team can do this."
They can, at five roles and two quarters of hiring before the first page ships. That's roughly $290K a year before tools, data, and link budget, and one resignation stalls the whole program.
The better version: we run the engine, your team owns the product story. We hand the whole system over at the end if you want it.
Objection 03
"You haven't worked in our category."
We only work with B2B SaaS, and we've run this playbook across dozens of them: healthcare automation, payments, event software, practice management, crypto infrastructure. The category changes the prompts and the proof bar. It doesn't change the machine.
On the intro call we run your actual buying prompts live, so you see what the engines say about your category before you decide anything.
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.
What we walk through