If you searched "GEO agency Reddit" before hiring anyone, good instinct: the SEO forums are where the sales gloss goes to die. Here is the honest digest. On communities like r/SEO and r/bigseo, it is genuinely contested whether GEO is even a distinct discipline from SEO. Skeptics argue ranking in Google largely drives AI visibility. Proponents point to engine-specific behaviors. We run a GEO practice, and we think both camps are partly right, which is why we sell measurement instead of a label.
Camp One
The recurring skeptic argument on the SEO subreddits goes like this: AI engines are built on top of search indexes, so the businesses that rank well in Google and Bing are largely the businesses that show up in AI answers. If that is true, "GEO" is mostly classic SEO wearing a new badge, and agencies invented the acronym to justify a second retainer for the same work.
There is real merit here, and we will say so on our own website: if you are invisible in the underlying indexes, no amount of AI-flavored consulting saves you. The skeptics are also right to torch the theater in this market, the vendors selling schema markup and llms.txt files as if they were the secret. Our position has always been that those are table stakes, not the lever.
Where the skeptic case gets weaker is at the edges, which is exactly where the proponents live.
Camp Two
The proponents' counter is that the engines are not interchangeable front-ends for Google. ChatGPT's local answers draw on Bing's web index, an index most businesses have ignored for a decade. Google's AI draws on the Google profile and the wider web. Perplexity licenses review platforms, which makes your review footprint literal source material. And all of them corroborate a business across the web before recommending it, which rewards mentions and reputation in a way a rankings-only strategy never prioritized.
If those engine-specific behaviors are real, and they are observable by anyone who runs the same question across several engines and compares the answers, then treating "rank in Google" as the whole game leaves visibility on the table.
So: skeptics right about the foundations and the grift, proponents right about the mechanics at the edges. Which leaves a buyer exactly nowhere, unless you change what you are evaluating.
Our Stance
We are not going to win the naming argument on this page, and we do not need to. Here is the position we actually operate on: whether you call the work GEO, SEO, or nothing at all, the test is whether AI engines name your business more often this month than last month. That is measurable, so we measure it.
Concretely: we run the same real buyer questions every month across 7 AI engines, score the results out of 100, and report the score. The client sees exactly what moved, question by question and engine by engine, regardless of what anyone calls the discipline. That loop runs today inside our program for a family-run Pennsylvania dealership, alongside a 70+ page audit, an answer hub, listings repair, review work, and award entries. The dealer page walks through the whole thing.
Notice what this does to the Reddit debate: it makes it someone else's problem. If the skeptics are right and Google rankings drive everything, the monthly score still catches it, because the score moves when the rankings work lands. If the proponents are right, the score catches that too. Measurement is the position that does not need the argument to resolve.
Take This With You
Including us. These three questions separate a practice from a pitch in about five minutes.
Not "visibility" in the abstract. Which questions, which engines, scored how? If the method cannot be explained in two minutes, it does not exist. Ours: 10 real buyer questions, 7 engines, scored out of 100.
Real deliverables from real engagements, not a screenshot of one lucky AI answer. Ours include a 70+ page audit and a running monthly program for a Pennsylvania dealership we do not name on marketing pages.
The same questions, re-run on the same engines, every month, with the score reported whether it went up or not. If the agency will not commit to that, ask yourself why.
Common Questions
There is no single verdict, and anyone telling you Reddit has settled it is selling something. On SEO forums like r/SEO and r/bigseo, it is genuinely contested whether GEO is distinct from SEO at all. Skeptics argue that ranking in Google largely drives AI visibility, so GEO is mostly a rebrand. Proponents point to engine-specific behaviors that classic SEO never had to think about. Both camps make real points, which is exactly why we recommend judging any agency on its measurement rather than its label.
The skeptics are right that the foundations overlap heavily: if you are invisible in the underlying indexes, no acronym saves you. The proponents are right that the engines have their own behaviors: ChatGPT's local answers draw on Bing's web index, Google's AI draws on the Google profile and the wider web, and Perplexity licenses review platforms. Our position: the label matters less than the measurement. Whether you call the work SEO, GEO, or nothing at all, the test is whether the engines name your business more often this month than last month, and that is a measurable thing.
Ask three questions. One: what exactly do you measure, and can I see the method? If the answer is vague, walk. Two: what are the receipts, meaning real deliverables from real engagements, not screenshots of one lucky answer? Three: will I get a re-measured score every month, so I can see movement or the lack of it? An agency confident in its work will welcome all three. Our answers: we run the same real buyer questions monthly across 7 AI engines, score the results out of 100, and report the score. The program runs today for a Pennsylvania dealership.
We think the argument is mostly a distraction from the thing that protects you as a buyer: measurement. We run the same questions monthly across 7 engines and report the score, so the client sees exactly what moved regardless of what anyone calls the discipline. We are also honest about tactics: schema and llms.txt are table stakes, not the lever. The real work is query-matched answer-first pages, reviews and reputation, off-page authority, and the monthly loop.
The $1,500 GEO Audit + Roadmap shows how 7 AI engines answer your category's real buyer questions today, who wins each answer, and the plan to change it. Then the same questions get re-measured monthly at $1,500/month flat. Whichever Reddit camp is right, you will see the number move or you will see it stall. Either way, you will know.
tyler@bowenaistrategygroup.com | (412) 841-5392 | Based in Canonsburg, PA, south of Pittsburgh, working with businesses nationwide