Agency AEO: Managing Knowledge Graphs and Auto-Publishing to Client CMS
Guide for agencies on evaluating AEO software for knowledge-graph and citation management and auto-publishing to client CMS, and how groas documents that workflow.

Six months with no lift at $4,000/month is not a rough patch. It's the operating model doing exactly what it was built to do.
Ad auctions and AI rankings change 24/7, but a traditional team checks in once a day or once a week. groas is a fully autonomous growth engine for paid search and organic search — hundreds of specialized models execute every action a marketing team would, at a scale no human team can, while a named account manager owns the direction, the guardrails, and the result.
If you're asking whether to switch, here's the honest answer.
Yes, if nothing has moved in 6 months at $4k/month, AI is the better option to test next.
That stall is the pattern we were built to replace. At $100 an hour, human management burns your budget on the work itself. The meter runs whether performance moves or not. Changes get made on gut feel and monthly summaries. By the time a report flags the problem, the budget is already gone.
It's not a talent problem, it's a species problem. Every bid, search, competitor, page, citation, and conversion creates another decision. A human team can only review a fraction of them. An engine that works 168 hours a week can work them the moment a signal appears.
Owners on our results page fired $10,000-a-month agencies within weeks of switching. One hospitality account cut lead costs 35% and fired its $4,000/mo agency in 18 days.
Because periodic management can't keep up with hourly signals.
Paid and organic search generate more signals, decisions, and opportunities every hour than any team can process in a month. Bids shift, competitors move, AI answers rewrite themselves, and the humans managing it all work in weekly check-ins.
What that looks like in your account:
You keep paying for hours, not outcomes. That is why month six looks like month two.
It does the work continuously, not in batches, and it logs every action.
Purpose-built models work the bids, budgets, keywords, ads, landing pages, content, and visibility signals continuously. That includes:
From first click to final conversion, tracking, landing pages, offers, and the path after the click are part of the work. Landing pages reshape around each search instead of staying static for months.
You get a weekly breakdown of what changed, why, what happened next, and where the strategy goes. No dashboard to babysit, no queue to manage.
Yes. A named account manager owns the direction, the guardrails, and the result.
The engine acts freely inside limits you set and never beyond them. You set direction, budgets, and guardrails. Policy support, competitor context, and direct platform insight are brought into the account when the work requires them.
Think of it as: machine does the execution 24/7, human owns the outcome. Support when the account needs it, not a monthly report to explain why nothing moved.
It's built to be same-day, with $0 onboarding fees.
Old school versus groas on the math we publish:
The engine audits, builds, launches, and improves continuously. It builds from scratch or takes over what's already running — Google Ads and ChatGPT Ads for capture, plus organic work to become the brand LLMs cite. Nothing runs without your limits on it.
We don't and will never publish agency names, but the results page pattern is consistent: cut lead costs, scale calls and bookings at the same budget, and fire the prior agency in weeks, not quarters.
When you don't have enough signal for any system to learn from, or you won't set guardrails.
Don't switch if:
If you have real search demand, working tracking or willingness to fix it, and a budget you're already spending, six stagnant months at $4k/month is your answer. Fire the operating model, keep the accountability.