Millions of people now ask ChatGPT, Perplexity, and Google AI Overviews for business recommendations instead of scrolling through search results. If you run a local business, there is a real chance people in your area are asking an AI engine for exactly what you sell. The question is whether the AI mentions you or sends them to a competitor.
Most business owners have no idea how to find out. Here is how to check, what the results actually mean, and what to do about it.
The manual check -- start here
Open ChatGPT (the free version works). Type in one of these prompts using your actual industry and city:
- "What is the best [your industry] in [your city]?"
- "Can you recommend a [your service] near [your city]?"
- "Who are the top [your industry] companies in [your area]?"
Run five to ten variations. Change the phrasing each time. Try specific services you offer instead of your general industry category. Try neighborhood names instead of city names. Take notes on what comes back.
Your business name mentioned by name in the response. Not a link to your website buried in citations. An actual mention where the model recommends or references your company as part of the answer. If the model does not name you, it does not know you exist in the context of that query.
Do the same thing in Perplexity.ai and in Google (look for the AI Overview box at the top of results). These three engines cover the vast majority of AI-generated recommendations. If you do not appear in any of them, you have a visibility gap that traditional SEO will not fix.
Why the manual check is not enough
Running a few prompts in ChatGPT tells you whether you appear for those exact queries on that exact day. It does not tell you the full picture. AI responses vary by session, by phrasing, and by the user's conversation history. You might appear in one prompt and not in a slightly different version of the same question.
The manual check also does not tell you why you are invisible. Knowing you do not show up is only useful if you know what signals are missing. That is the gap between awareness and action.
This is the reason we built the free AEO (Answer Engine Optimization) health check. It scans the technical signals that AI models use to identify and evaluate your business: schema markup, entity data, content structure, citation signals. It gives you a score, a grade, and a breakdown of exactly where the gaps are. Thirty seconds, no signup required.
The three layers AI engines evaluate
When an AI engine decides whether to recommend your business, it evaluates three layers of information. Understanding these layers tells you exactly what to fix.
Does the model know your business exists as a distinct entity? This comes from structured data (schema markup) on your website, plus entity registrations on platforms like Wikidata, Crunchbase, and Google Business Profile. Without a clear identity layer, the model cannot distinguish you from the hundreds of other businesses on the internet that offer similar services.
Does the model trust your business enough to recommend it? Authority signals include review consistency across platforms, mentions on authoritative sites, backlink quality, content depth on your core topics, and how long you have been producing relevant content. A business with 200 Google reviews and mentions in local press carries more authority signal than one with a great website but no external validation.
Does the model connect your business to the specific query being asked? Relevance is driven by your content architecture. If someone asks ChatGPT about "emergency plumbing in Austin" and your plumbing company has a page that directly addresses emergency plumbing services in Austin with clear headings, direct answers, and supporting data, the model has what it needs. If your website just says "we offer plumbing services" with no specificity, the model picks the competitor who gave it more to work with.
What most businesses get wrong
The most common mistake is assuming that a good Google ranking means AI visibility. It does not. Google search rankings and AI recommendations use fundamentally different systems. We work with businesses that rank on page one of Google for their target keywords and are completely invisible in ChatGPT and Perplexity.
The second mistake is treating AI visibility as a content problem. Business owners think they need to write more blog posts or create more pages. Content matters, but only if it is structured correctly and supported by the identity and authority layers. Publishing 50 blog posts without schema markup and entity data is like building a house with no foundation.
The third mistake is waiting. AI engines compound their knowledge. Once a competitor gets cited in a topic area, that citation feeds future training data. The competitor's visibility reinforces itself. The gap between cited businesses and invisible ones grows wider every month. Checking your visibility today is worth more than checking it six months from now.
Your next move -- check the signals
The manual ChatGPT check tells you the symptom. The free AEO health check tells you the cause. Run both.
Start by typing your domain into the health check. You will get a score from 0 to 100, a letter grade, and a detailed breakdown of your schema coverage, entity signals, content structure, and citation readiness. The report shows you exactly what is missing and what to prioritize.
If you want the competitive layer, the $500 audit maps your signals against your top competitors, identifies the specific opportunities in your market, and delivers a 90-day roadmap for building compound AI visibility. It is the difference between knowing you have a problem and having the exact plan to fix it.
The businesses that check first move first. The ones that move first compound first. That is how the next wave of market share gets allocated. Not by who runs the best Google Ads, but by who the AI trusts enough to recommend.