Does AI Recommend Your Business? Here's How to Find Out

What is answer engine optimization and why does it matter for small businesses?

Answer engine optimization (AEO) is the practice of structuring your business's online presence so that AI tools like ChatGPT, Perplexity, Google's AI Overviews, and Claude pull your business into their responses when someone asks a relevant question. It's not a rebrand of SEO. It's a different problem with different mechanics.

When someone types 'best HVAC company in Richmond' into Perplexity, they get a synthesized answer with citations, not a list of ten blue links. If your business isn't in that answer, you don't get a second chance. There's no page two.

This isn't a future problem. Perplexity reported over 100 million searches per week as of early 2025, and ChatGPT's search feature has been rolled out to hundreds of millions of users. The shift is already happening.

How do AI tools decide which businesses to recommend?

AI models synthesize answers from sources they've been trained on or can access in real time. For local and service businesses, that means a few specific signals carry most of the weight:

• Consistent NAP data. Name, address, and phone number must match exactly across your Google Business Profile, Yelp, your website, and any directory listings. Inconsistencies create ambiguity, and AI resolves ambiguity by picking someone else.
• Third-party mentions. Reviews, press coverage, blog features, local news articles, and industry directories all function as citations. AI tools weight corroborated information more heavily than self-reported claims.
• Structured content on your site. FAQ pages, service pages written in plain language, and schema markup all help models extract clean answers from your site.
• Authoritative citations. If a local news outlet, trade publication, or well-regarded blog mentions your business by name in a relevant context, that signal is strong.

The underlying logic is the same logic that makes Wikipedia reliable: corroboration from multiple independent sources.

What does a business look like to an AI that won't recommend it?

Imagine a plumber with a five-year-old website, three different phone numbers across various directories, 12 Google reviews (eight of which mention a different business name from a rebrand), and no presence on any local editorial site. To a human, this business might be excellent. To an AI model pulling together signals, this business looks ambiguous at best and untrustworthy at worst.

The businesses AI recommends aren't necessarily the best businesses. They're the most legible ones.

This is the core insight: AI doesn't have opinions. It pattern-matches against available evidence. If your evidence is thin or contradictory, you don't get recommended.

How do you check if AI is recommending your business right now?

This is the first thing we tell every client to do: run the test yourself.

Open ChatGPT, Perplexity, and Google with AI Overviews enabled. Then search the way your customers actually search:

• 'Best [your service] in [your city]'
• 'Who should I call for [your specific problem] near [your neighborhood]'
• 'Recommended [your trade or profession] in [your region]'

Note whether you appear, what the AI says about you if you do, and whether any of that information is wrong. Inaccurate AI-generated descriptions are common and worth correcting at the source (your listings, your website copy, your review responses).

Then search your business name directly. What does the AI say about you? Does it match reality?

What are the highest-leverage things a small business can do to improve AI recommendations?

You don't need to do everything. You need to do the right things in the right order.

1. Lock down your Google Business Profile

This is still the single highest-leverage asset for local businesses. Keep every field complete and current. Add photos regularly. Respond to every review. Google's own AI Overviews pull heavily from GBP data, and Perplexity indexes it too.

2. Audit your directory consistency

Tools like Moz Local or BrightLocal will scan your NAP data across dozens of directories and flag mismatches. Fix every one. This is unsexy work that pays off disproportionately.

3. Build a real FAQ page

Write out the 10 questions your customers actually ask before hiring you. Answer each one in plain language, 75 to 150 words per answer. This is structured, extractable content that AI models are designed to surface. It also converts better than generic service pages.

4. Get mentioned in local editorial

This is where most SMBs stop short. A quote in a local business journal, a feature in a neighborhood newsletter, a guest post on an industry blog: these third-party mentions function as citations that AI models treat as corroboration. One article in a legitimate publication is worth more than 50 self-published social posts.

5. Add schema markup

Schema is code that tells search engines (and AI crawlers) exactly what your business is, what it does, where it operates, and what people say about it. A developer can add LocalBusiness schema to your site in a few hours. Google's Structured Data documentation covers exactly what to include.

Does review volume actually affect AI recommendations?

Yes, but not in the way most people think. AI tools don't just count stars. They read review content and extract descriptive signals: what services you actually performed, how you handled problems, what neighborhoods you serve, how quickly you responded.

This means a business with 40 detailed reviews that mention specific services will often outperform a competitor with 200 generic five-star reviews in AI-generated recommendations. Encourage customers to describe the actual job in their review, not just the outcome.

How is AEO different from traditional SEO?

| Factor | Traditional SEO | Answer Engine Optimization | |---|---|---| | Goal | Rank on page one | Get cited in AI answers | | Primary signal | Backlinks + keywords | Corroborated facts + structured data | | Content format | Long-form, keyword-dense | Clear, extractable, question-answer format | | Review role | Reputation signal | Content source for AI synthesis | | Timeline | 3–6 months typical | Varies; some changes index within weeks | | Tools | Ahrefs, SEMrush | Moz Local, BrightLocal, schema.org |

The two disciplines overlap, but the optimization targets are different. A site built only for traditional SEO keyword density can actually perform poorly in AI recommendations if the content is vague or hard to extract clean facts from.

What we'd actually do

• Run the AI audit this week. Search your business in ChatGPT and Perplexity using the exact queries your customers use. Screenshot what comes up. That's your baseline, and it costs nothing.
• Fix your NAP data before anything else. Use BrightLocal or Moz Local to find every inconsistency across directories and correct them. This is the foundation everything else builds on.
• Commission one piece of local editorial coverage. Pitch a local business journal, sponsor a community newsletter feature, or get quoted in a relevant trade publication. One credible third-party mention moves the needle more than months of self-published content.

If you want help building this out systematically for your business, or you want to learn the full AEO playbook alongside other SMB owners doing the same work, that's exactly what we cover inside the community at skool.com/aiforbusiness.