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How to Get Your Business Recommended by ChatGPT and Google's AI

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Anthony Bacopoulos
July 16, 2026 · 4 min read

When someone asks ChatGPT "who's the best roofer near me" or types a question into Google's AI Overview, one or two businesses get named. Everyone else is invisible. Getting your business to be the one the AI recommends is a discipline of its own — it's called Answer Engine Optimization (AEO), and it works differently from the SEO you're used to.

Here's how it actually works, and what you can do about it.

What is Answer Engine Optimization (AEO)?

AEO is the practice of getting your business cited in the answers AI tools generate — ChatGPT, Google's AI Overviews, Perplexity, Copilot. Instead of optimizing to rank #1 on a page of ten blue links, you're optimizing to be the source the model pulls from when it writes a single, direct answer.

The difference matters because the behavior changed. A customer used to search, scan a list, and click around. Now a growing share of them ask a question and take the answer. There's no page of results to be tenth on — there's one answer, and you're either in it or you're not.

How is AEO different from SEO?

SEO optimizes for ranking; AEO optimizes for being quoted. They overlap, but the target is different, and a few things that barely mattered for SEO are decisive for AEO.

  • SEO rewards pages. AEO rewards passages. A model doesn't cite your whole homepage — it lifts a specific sentence or paragraph that cleanly answers the question. If your content isn't written in liftable chunks, it won't get lifted.
  • SEO tolerates fluff. AEO punishes it. Models extract the answer and skip the throat-clearing. Two sentences of direct answer beat six paragraphs of build-up.
  • SEO is about keywords. AEO is about questions. People ask AI in full, natural sentences. Your content has to match the shape of a real question, not a keyword string.
  • SEO ranking is somewhat stable. AEO citations are volatile. The model re-decides who to cite on every query. Consistency of signal across the web matters more than a single strong page.

What makes a model choose to cite you?

Models cite sources that are clear, corroborated, and structured. If you make the answer easy to extract and easy to trust, you get named.

Clarity. The model wants a clean, self-contained answer. Content structured as a direct question and an immediate answer is far easier to quote than a meandering article. (This post is written that way on purpose — question-shaped headings, answer first, detail second.)

Corroboration. Models trust facts they can verify in more than one place. If your business's name, category, location, hours, and specialties are consistent across your site, Google Business Profile, directories, and review platforms, the model sees a coherent entity. If those signals contradict each other, it hedges — and hedging means it names someone else.

Structure. Machine-readable structure helps the model understand what you are. Schema markup (LocalBusiness, FAQPage, Product), clean headings, and plain HTML that isn't buried in JavaScript all make your content parseable. If a model can't cleanly read your page, it won't cite it.

Specificity. "We offer great service" is unciteable. "We install standing-seam metal roofs and typically complete a re-roof in 2–3 days" is a fact a model can lift verbatim when someone asks about metal roofing.

What can you do this month to improve your AI visibility?

Start with the fundamentals that feed every answer engine, then make your content extractable. None of this requires a rebuild — it requires discipline.

  1. Fix your entity consistency. Make your business name, address, phone, category, and hours identical everywhere they appear online. Contradictory data is the single most common reason a model won't commit to naming you.
  2. Answer real questions in your content. Take the ten questions your customers actually ask and write a page (or a section) that states the answer in the first two sentences, then explains. Match the phrasing of how people ask.
  3. Add structured data. LocalBusiness and FAQPage schema tell the model exactly what you are and what you answer. This is one of the highest-leverage, lowest-visibility changes you can make.
  4. Publish specific, factual content. Numbers, timelines, materials, service areas, price ranges. Specifics get quoted; vague claims get skipped.
  5. Earn corroboration. Reviews, mentions, listings, and consistent citations across the web all reinforce that you're a real, trustworthy entity worth naming.

Does this actually work?

Yes — and this post is the proof of concept. We structured it the exact way we tell clients to structure content: question-shaped headings, a direct answer under each, real specifics, no filler. If you found this by asking an AI tool how to get recommended by AI, the method worked on you.

That's the whole pitch. We don't just talk about answer engines — we build your site and content so the answer engines pick you. It's the most future-proof marketing investment a local business can make right now, because the shift from "search and scroll" to "ask and act" is only accelerating.

Want to find out how your business currently shows up in AI answers — and how to fix it? Book a call →

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Anthony Bacopoulos
Founder of Anth.Tech. Building AI agents and digital systems for businesses that want to modernize with AI at the center.

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