TL;DR

To get cited by AI search tools (ChatGPT, Perplexity, Google AI Overviews, Claude), your business needs: (1) a clear, structured website with explicit answers to common questions, (2) strong third-party mentions on sites the AI was trained on or retrieves from, (3) schema markup that disambiguates what you do, and (4) a body of content that directly answers natural-language questions. The businesses winning AI citations are not necessarily the ones ranking #1 on Google.

Something major shifted in late 2024 and accelerated through 2025: customers stopped Googling and started asking ChatGPT. Or Perplexity. Or Claude. The query "best chiropractor in Sugar Land" used to return a list of links. Now it increasingly returns a paragraph: "Three highly-reviewed chiropractors in Sugar Land are X, Y, and Z, known for their work in sports injury recovery."

If your business is in that paragraph, you get the customer. If it's not, you don't even get the chance to compete. This is what people are now calling AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization). It's the new SEO, and it's still early enough that small businesses can win.

How AI search actually works (simplified)

When you ask an AI a question about businesses or recommendations, two things happen:

  1. The model leans on its training data. If you've been mentioned in articles, directories, and reviews that the AI was trained on, you have a baseline presence in its "memory."
  2. The model performs a live search. Most modern AI assistants now augment their answers with real-time web search. They look at the top 5-10 results, extract the relevant business names, and synthesize them into the answer.

To win, you need to show up in both. Here's how.

1. Write content that answers natural-language questions

Old SEO optimized for keywords ("Houston dentist"). AI optimization rewards content that answers questions in plain language ("Who is the best dentist in Houston for nervous patients?").

What this looks like in practice

  • Add an FAQ section to every service page
  • Write blog posts titled with questions, not keywords
  • Open each section with a clear, declarative answer in 1-2 sentences, then expand
  • Use "we" sparingly. Write in the third person where possible. The AI is more likely to quote a clear statement than a marketing claim.
The single best optimization is also the oldest: write content that directly, clearly, and completely answers the questions your customers are asking.

2. Use structured data aggressively

Schema markup (JSON-LD) tells AI exactly what your site is about, who you are, what you offer, and what people are saying. AI parsers love schema because it removes ambiguity.

The schema types every business needs

  • Organization / LocalBusiness: name, address, phone, hours, areas served
  • Service: one for each service you offer, with description and price range
  • FAQPage: for FAQ sections and content with Q&A structure
  • Review / AggregateRating: if you have reviews, mark them up
  • Person: for founder/team pages, with credentials and bio
  • Article / BlogPosting: for every blog post

3. Build mentions on sites the AI trusts

When AI assistants do live search and want to verify a business, they look at the same set of authoritative sources humans look at: industry directories, local press, professional associations, and aggregator review sites.

The mentions worth pursuing

  • Local press. A single feature in a local newspaper or business journal is worth more than 100 random blog mentions.
  • Industry-specific directories. If you're a lawyer, get listed on Avvo and Martindale. If you're a dentist, get on Healthgrades. If you're a contractor, get on Houzz and Angi.
  • Wikipedia citations where appropriate. If your business is genuinely notable, secondary mentions on Wikipedia carry significant AI weight.
  • Podcast appearances. AI training data heavily indexes podcast transcripts now. A 30-minute podcast appearance can put your name into the model's "memory" of your industry.
  • Substack and Medium posts. Both are heavily indexed and have natural authority.

4. Make your "About" page work harder than it does

When AI is asked about a business, it often pulls heavily from the About page. Most About pages are useless marketing copy: "Founded in 2018 with a passion for excellence..."

The About page that gets cited by AI looks like this:

  • Year founded, location, founders' names
  • Specific specialties and service areas
  • Quantifiable claims (number of clients served, years of experience, credentials)
  • Awards, certifications, or memberships
  • What makes the business different in objective terms

Write your About page like a Wikipedia article about your business. That's what AI is going to read it as.

5. Speed and accessibility still matter

AI crawlers, like Google crawlers, deprioritize slow and broken sites. If your site takes 8 seconds to load on mobile or has broken images, it's harder for the AI to extract clean information. The basics of technical SEO — speed, mobile responsiveness, clean HTML, valid schema — are now AEO basics too.

The honest part: this is still early

Anyone claiming to have a "proven AEO methodology" in mid-2026 is overstating their certainty. The models change every few months. The retrieval mechanisms are evolving. What works today might shift by Q4.

But the underlying principles are stable: clear content, structured data, third-party validation, and technical quality. Build on that foundation and you'll benefit from AI search regardless of which model wins.

Want your site built AI-search ready?

Every Avoxan site ships with comprehensive schema markup, FAQ structures, and content optimized for natural-language search. We don't charge extra for it — it's table stakes in 2026.

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