Two of our clients this year tell the same story from opposite ends of the market.
A fintech SaaS came to us sitting at $5,000 MRR. Decent product, no visibility. Six months later they were at $22,000. Nothing about the product changed.
An HR tech company was booking about 10 demos a month and treating that as normal. Eight months in, they’re booking 48 demos a week, with new monthly sales up 244%.
Neither of them hired more sales reps. Neither doubled ad spend. What changed was that buyers could find them at the moment they were looking, in the places they were actually looking.
That last part is the whole argument, and it’s the part most business owners are getting wrong right now. The places buyers look have moved. Your visibility hasn’t.
The three layers, fast
You need about ninety seconds on the acronyms, then we can get to what actually matters.
SEO gets your pages ranked in Google. Crawlable site, right keywords, enough authority to compete.
AEO gets your content extracted as the answer. Structured, direct, easy for a machine to lift a clean response from.
GEO gets your brand named and recommended inside AI-generated answers. That depends heavily on what exists about you off your own site: review platforms, directories, Reddit, YouTube, industry publications.
They stack. SEO is the foundation for the other two, because the authority signals that earn rankings are the same signals that earn citations. Skip the foundation and the top floors don’t hold.
Fine. That’s the textbook part. Here’s the part nobody’s writing about.
The buying decision now happens before you know it exists
G2 published research in April 2026, based on a March survey of 1,076 B2B software buyers. Half of them (51%) now start their research inside an AI chatbot rather than Google. Eleven months earlier that figure was 29%.
Read that gap again. The starting point of the B2B buying process moved from “sometimes AI” to “usually AI” in under a year. I’ve been doing this work for a while and I can’t remember a behavior shift that fast.
The rest of that report is where it gets uncomfortable for anyone still reporting on keyword rankings:
- AI chatbots are now the number one influence on which vendors make a buyer’s shortlist, at 54%. Review sites sit at 43%. Your own website, 36%.
- 69% of buyers chose a different vendor than they’d originally planned, based on chatbot guidance.
- A third of them bought from a vendor they had never heard of before the conversation.
- 85% think more highly of a vendor when a chatbot names them in a recommendation.
That third bullet is the one I’d print out and stick on the wall. A third of deals in this market are now going to companies the buyer had never heard of. Which means the incumbent advantage you thought you had is thinner than it looks, and also that there’s a door open for you that was bolted shut two years ago.
Now the part that should worry you. All of this happens before the buyer visits anyone’s website. The shortlist gets built inside a conversation you can’t see, can’t attribute, and can’t influence after the fact. By the time a lead hits your form, the competitive set was decided somewhere else.
You’re not losing deals at the proposal stage. You’re losing them at a stage you don’t have visibility into.
Local businesses are further behind, and the gap is wider
Everyone writing about AEO and GEO right now is writing about SaaS. Local gets ignored, which is strange, because the numbers there are more dramatic.
BrightLocal’s 2026 Local Consumer Review Survey of 1,002 US consumers found that 45% had used an AI tool to find a local business in the past year. The year before, that was 6%.
Six to forty-five. In twelve months. Adoption peaks at 64% among 30 to 44 year olds, which happens to be the exact age band that hires accountants, dentists, contractors, lawyers and clinics.
Then there’s the number that should decide your budget. SOCi analysed roughly 350,000 business locations in 2026 and found ChatGPT recommended 1.2% of them.
One point two percent.
Think about what that means competitively. In traditional local search you’re fighting for a spot in a ten-result list, and even position seven gets some clicks. In an AI answer, the model names two or three businesses and the conversation ends. There’s no scrolling. There’s no “let me check the next one down.” Fourth place doesn’t get a mention, and a customer who never sees your name doesn’t know you were an option.
The flip side: 98.8% of local businesses aren’t in that conversation yet. I’ve never seen a channel this wide open at this stage of adoption, and it won’t stay open. Citation trust compounds. The businesses building presence now will be cheaper to keep visible than the ones starting in eighteen months.
One more thing local owners need to hear, because it’s counterintuitive. For local AI visibility, your website is the supporting act. Google’s generative answers about places are grounded in Maps and Business Profile data. Your category selection, your business title, your service and attribute completeness, your review velocity and recency, your NAP consistency across every platform ChatGPT pulls from. That’s the load-bearing work. The site handles entity confirmation, LocalBusiness schema, and the informational queries where AI Overviews show up.
Which means local SEO done properly in 2026 looks almost nothing like local SEO done in 2022.
What is the actual cost of not doing SEO, AEO and GEO?
The cost is not lost traffic. It’s the compounding gap between your pipeline and a competitor’s, because search visibility is cumulative and the months you skip never come back. A competitor who starts eight months before you doesn’t lead by eight months of work. They lead by eight months of compounded authority, citations and reviews.
Let me make that concrete with the HR tech client, because the arithmetic is the clearest argument I’ve got.
They were at 10 demos a month. Eight months later, 48 demos a week. Call it roughly 200 a month against 10. That’s not a 20% improvement on the old system. It’s a different business.
Now run the counterfactual. If they’d waited eight months to start, they wouldn’t be sitting where they were in month one. They’d be worse off, because during those eight months their competitors were publishing, earning citations and accumulating the authority signals that decide who gets named. Every month you don’t build is a month someone else does, in a system that rewards accumulated trust.
The fintech client makes the same point in revenue terms. $5k to $22k MRR inside six months. That $17k monthly delta didn’t arrive as a lump sum in month six. It built. Which also means a decision to delay the start by three months isn’t a three-month delay in results. It pushes the entire compounding curve back, and you forfeit the revenue that curve would have generated in the meantime. That money isn’t deferred. It’s gone.
I want to be careful here, because I’ve seen agencies present that math dishonestly. These are two clients. They’re real, the numbers are real, and I’m not going to pretend they’re a statistical sample or that every business gets these outcomes. Plenty don’t. What they do show is what the ceiling looks like when the work is actually executed rather than half-started.
The real reason businesses don’t start
Every founder I talk to who’s been sitting on this decision for a year gives me the same two reasons, and neither of them is “I don’t think SEO works.”
The first is fear of picking the wrong agency. Fair. Most of them have already been burned, or watched a peer get burned. Twelve months of retainers, a monthly deck full of impressions and keyword positions, and no discernible change in pipeline. That experience doesn’t make you sceptical about SEO. It makes you sceptical about agencies, which is a completely different and much more rational position.
The second is the six-month question. “What if we spend for six months and it doesn’t work?”
I understand it. I also think it’s the wrong question, and here’s why.
The six-month risk isn’t symmetrical. If you invest and it underperforms, you’ve spent six months of budget and you’ve still got a faster site, cleaner architecture, published content, better structured data and a Business Profile that’s actually complete. That’s not zero. Those assets keep working.
If you don’t invest, you’ve spent six months of the same calendar and you own nothing. Your competitor owns six more months of compounded authority. And the entry cost for you has gone up, because you’re now buying your way into a more crowded citation set.
The asymmetry runs the other way from how it feels.
There’s a version of the fear that’s completely legitimate though, and it’s worth naming: fear of an agency that won’t show you the mechanism. If someone can’t tell you, before you sign, which specific metric they’re moving, what the baseline is, and what evidence would prove them wrong at month three, that’s not caution on your part. That’s a correct read. Ask for the month-three checkpoint in writing. Anyone confident in the work will give it to you.
The businesses that stay stuck aren’t the ones who evaluate carefully. They’re the ones who use evaluation as a way to avoid deciding.
Who should not do this
One category, and I’ll be direct about it.
If you run a single-location business selling a low-value purchase with no consideration phase, where proximity is the entire buying decision, this is the wrong spend. A neighborhood convenience store. A local stall. Nobody opens ChatGPT to ask which shop to buy a cold drink from. They walk to the nearest one.
For that business, the money goes into signage, stock, location and being open when people walk past. A complete Google Business Profile is worth the forty minutes it takes to fill in. A GEO program is not worth anything.
The test is simple. Does a customer ever compare options before buying from you? If the honest answer is no, and the transaction is small, and there’s no repeat relationship worth protecting, skip all of this. Anyone telling you otherwise is selling.
Everything above that line, which includes basically all B2B, every professional service, every clinic and every high-consideration local service, is in scope. The moment a customer compares before they buy, an AI is doing part of that comparing for them.
What to do about it in the next thirty days
Nothing here requires a full program to start.
Find out what AI already says about you.
Open ChatGPT, Gemini and Perplexity. Ask the questions your buyers ask: “best [your category] for [your customer type]”, “who should I hire for [your service] in [your city]”. Write down whether you appear, who does, and whether anything said about you is wrong. Most businesses have never done this and are startled by the result. Do it before you spend a rupee or a dollar.
Fix your facts.
Name, address, phone, services, category and description, identical everywhere they appear. Inconsistent entity data is the most common reason a model can’t confidently recommend a business, and it’s the cheapest thing on this list to fix.
Check whether you’re extractable.
Can a machine lift a clean answer off your pages? Direct answers near the top, real structure, schema in place. If your service page opens with three paragraphs of positioning before it says what you do, there’s nothing to extract.
Set a baseline you can be held to.
Not rankings. Citation rate, demo volume, qualified pipeline, MRR. Whatever the actual business runs on. We wrote separately about how to measure AI search visibility, because you can’t manage a channel you’ve never measured, and most people are still measuring the one that’s shrinking.
Then pick one layer and finish it
before starting the next. The clients who got the results above didn’t run SEO, AEO and GEO as three parallel workstreams with three separate reports. One program, sequenced, with every activity tied back to revenue.
The buyer behavior has already changed. G2’s number went 29 to 51 in eleven months. BrightLocal’s went 6 to 45 in twelve. Neither of those is going back down, and both of them will be higher when the next survey lands.
The only open question is whether you’re in the answer when the buyer asks.
If you want to know where you currently stand, tell us what you’re working on and we’ll tell you straight (you can also find us on Designrush), including if the answer is that you don’t need us yet.