AEO Without the Acronyms: What AI Search Help Is Actually Worth Paying For

It took about eighteen months. That’s the gap between “ChatGPT can answer questions” and “let’s talk about your Answer Engine Optimization strategy.”

If you run marketing at a company under a billion dollars, your inbox is already filling up with it. AEO. GEO. “AI search readiness audits.” “LLM visibility scores.” A whole new vocabulary, a fresh set of slide decks, and usually a monthly retainer attached.

And the underlying shift is real. People are genuinely asking ChatGPT, Perplexity, and Gemini the questions they used to type into Google. Whether your company shows up in those answers actually matters now. We’re not going to pretend otherwise.

So this isn’t a knock on the people offering to help. Plenty of them are good, and the category is new enough that getting a hand makes sense. The point is simpler: AI search is easier to understand than the acronyms make it sound, and once you know what actually moves the needle, you can tell a great partner from an expensive black box in about four questions.

Most of what works is not a secret

Here’s the unglamorous reality of getting cited by large language models, which is most of what AEO is really about. None of it is hidden, and most of it you can start on this week.

• LLMs cite sources they can read clearly. Clean, structured content. Real answers to real questions stated plainly near the top. The same thing that’s been good writing advice since before the internet.
• They lean on the open web and high-trust sources. Being mentioned on sites that already have authority still matters. So does stating your own facts consistently across your site so the model isn’t guessing.
• Schema and structured data help. We’ve written about this. It’s boring. It works. It tells the machine what you are instead of making it infer.
• Consistency beats cleverness. If your pricing, your category, and your basic claims read the same way everywhere, models repeat them. If they’re scattered and contradictory, models stitch together a version of you that you’ll wish they hadn’t.

There’s real craft in the execution, and a good consultant earns their fee on the doing. The thing to watch for isn’t a person, it’s a posture: anyone leaning on a proprietary-sounding score instead of explaining what they’d actually change is selling you opacity, and opacity is the one thing you should never pay a retainer for.

The hard part isn’t strategy. It’s measurement.

Here’s where it gets interesting, and where the whole category gets genuinely difficult for everyone, vendors included.

The hard problem in AI search isn’t knowing what to do. It’s knowing whether it worked. The place where the result shows up, a stranger’s private ChatGPT session, is invisible to you. There’s no Search Console for “what did Gemini say about us this morning.”

That’s not a knock on consultants. It’s a real gap in the tooling that nobody has fully solved yet. A “visibility score” is usually someone typing a handful of prompts into ChatGPT and capturing the results, which is a reasonable spot check but not the same as measurement. The honest ones will tell you that.

The right question for any partner isn’t “do you have a framework.” It’s “how will we know, in ninety days, whether this changed anything that touches revenue.”

Not impressions. Not a proprietary score. Pipeline. Demo requests. Signups. The stuff a CFO recognizes. A good partner welcomes that question. It’s the whole reason to hire one.

How to vet an AI search pitch in four questions

You don’t need to become an expert to choose well. You need four questions.

• “Show me what you’d actually change on the site.” If the answer is clear, concrete, page-level stuff, that’s a good sign. If it’s mostly a strategic framework, you’re paying for a PDF.
• “How do you measure whether an LLM is citing us, and how often?” “We check manually” is a perfectly honest answer. Just make sure the price matches the effort.
• “How does this connect to our existing analytics?” Because it has to. AI referral traffic, branded search lift, direct traffic from people who heard your name in an answer. If it can’t tie back to the numbers you already track, it’s a silo.
• “What happens when the models change?” Because they will, constantly. The answer you want is “we adapt and keep doing the fundamentals.”

Ask those, and the good partners get more excited, not less. The ones who don’t have answers tend to excuse themselves from the room.

The actual point

AI search is real and worth taking seriously. The advice is mostly sensible and a lot of it is free. The genuinely hard part is seeing whether any of it moved a number that matters, and that’s not a content problem. It’s a data problem.

Which is the same problem you already have with every other channel. HubSpot says one thing, GA4 says another, Stripe quietly holds the only truth that matters, and now there’s a new “AI visibility” tab nobody fully trusts. Whoever you bring in to help with AI search, the fragmentation underneath is still yours to deal with.

Before you buy anyone’s plan for getting found by AI, it helps to answer a simpler question first: what’s already working, and how would you even know. If you’d rather just ask that in plain English and get a straight answer pulled from all your tools at once, that’s the whole idea behind THE DASHBOARD. No proprietary score. Just your actual data, in one place, ready to be asked.