AEO: How to Show Up When Customers Ask AI Instead of Google
Answer engines don't show ten results. They name two or three businesses and move on. Here's what they draw on when they pick — and a checklist to make sure one of those names is yours.
The search box is no longer the starting line
More of your customers now start with a question instead of a keyword. They ask an AI assistant which contractor to call, or they type the question into Google and read the AI-generated answer that sits above the traditional results. Either way they get a short, confident reply — a couple of named businesses and a reason to pick each — and many never scroll past it.
That reply is the new front page. AI Engine Optimization (AEO) is the work of making sure your business appears in it.
What AEO actually is
AEO is optimization for answer engines — systems that respond to a question with an answer rather than a list of links. Two kinds matter for a local business:
- Conversational AI assistants that answer directly in chat when someone asks who to hire, what something costs, or how to solve a problem.
- AI-generated answers in search — the summaries now placed at the top of results pages, above the links people used to click.
Both compress what used to be a whole results page into a few sentences. There is no page two of an AI answer. You're either named, or you're absent — and absent looks exactly like not existing.
Why local businesses feel this first
The questions answer engines handle best are recommendation-shaped. Who's a reliable roofer near me? Which family dentist takes evening appointments? What dumpster size fits a kitchen remodel, and who rents them here?
These were always local-business queries. What changed is the shape of the response. A traditional results page gave you a map pack, ads, and ten organic links — plenty of ways to be seen, even from the middle of the pack. An assistant answers the way a well-informed neighbor would: it names a few businesses and says why. If you run a service business, your customers are already asking these questions. The only open question is whose name comes back.
What AI answers actually draw on
Nobody outside the companies building these systems can see the full recipe, and anyone quoting exact percentages for what drives AI visibility is guessing. But the pattern we see in day-to-day practice is consistent. Answers tend to pull from a handful of sources:
- Clear service and location pages. Engines summarize what's written plainly. A page that states what you do, where you do it, and who it's for is easy to quote. A vague page with the details buried is not.
- Consistent business data. Your name, address, phone number, hours, and service area should match everywhere they appear — your site, your Google Business Profile, the directories. Conflicting data is a reason to name someone else. This is the same foundation our Google My Business ranking work is built on.
- Reviews. Recent, specific reviews do double duty: they signal you're real and active, and their language often surfaces paraphrased in answers — "customers mention fast scheduling."
- Structured data. Schema markup — LocalBusiness, Service, FAQ — states the facts about your business in a machine-readable form, so engines don't have to guess.
- Being cited by pages the engines trust. Answer engines lean on sources that already carry authority: established directories, local press, trade associations. Mentions there shape what gets said about you.
The AEO checklist
Everything below is work a business can start this month. None of it requires guessing at an algorithm.
- Build one page per service and one per service area. Open each with a direct answer: what you do, where, for whom, and what happens when someone calls.
- Reconcile your business data. Same name, address, phone, and hours on your site, your Google Business Profile, and every directory that lists you. Retire duplicate listings.
- Ask for reviews — and answer them. Recency and specificity matter more than a big number gathered years ago. Reply to the bad ones too.
- Add structured data. At minimum, LocalBusiness schema sitewide, plus Service and FAQ schema on your service pages.
- Write in questions and answers. Use headings phrased the way customers actually ask, and answer in the first sentence beneath each one.
- Be concrete about scope and pricing where you honestly can. Ranges, starting prices, what affects cost. Engines favor sources that commit to specifics.
- Earn mentions on pages engines already trust. Chambers of commerce, trade associations, reputable directories, local press.
- Test it monthly. Ask the assistants the questions your customers would ask. Note who gets named and why. That log is your scoreboard.
AEO and SEO: same foundation, new surface
AEO doesn't replace search engine optimization — it sits on top of it. A site that's crawlable, fast, well-structured, and genuinely authoritative is what traditional rankings reward, and it's also what answer engines quote. Most of the checklist above is bread-and-butter SEO; AEO adds the answer-shaped writing, the structured data, and the testing loop. If your SEO foundation is weak, start there. If it's solid, AEO is the natural next layer, not a separate universe.
What an AEO engagement with us looks like
When we run AI engine optimization for a client, the work follows the same arc every time:
- Baseline. We ask the engines the questions your customers ask and record exactly who gets named for each one.
- Fix the data layer. Business data reconciled everywhere, structured data implemented, service and location pages rebuilt to answer directly.
- Strengthen the sources. Review generation, citations, and mentions on pages the engines already trust.
- Re-test and report. The same questions, month over month, with who-got-named tracked as a first-class metric alongside rankings and traffic.
It isn't magic and it isn't instant. It's the same discipline that has always worked in search, aimed at the surface where more of your customers now make their decision.
Want to know what AI says about your business right now?
We'll run the baseline: the questions your customers ask, and exactly who gets recommended when they ask them. Then we'll show you the gap.