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AI Search · Practical Guide

How to get your business found on ChatGPT

Your customers are asking AI who to hire. Here is why it names your competitor, and the three things that have to change before it names you.

Published August 23, 2026·9-minute read·By Lisa T. Miller

Key takeaways

  • Asking ChatGPT about your business by name proves nothing. The real test is whether it names you when the customer does not know you exist.
  • Three things must be true: AI can read and understand your site, your business facts agree everywhere online, and trusted third-party sources mention you.
  • Most local businesses fail on at least two of the three, and the third-party one is usually the weakest.
  • AI answers are unstable. What works this month can shift when a model updates, so this is a habit, not a one-time fix.
  • You can run the whole diagnostic yourself in about twenty minutes. The last section shows you how.

The test almost everyone runs is the wrong one

The first thing most owners do is open ChatGPT and type their company name. Something reasonable comes back, and they conclude they are fine. They are not. Of course an AI can tell you about a business when you hand it the name. That is a reading-comprehension test, and your website passes it.

The test that matters is the one your customer runs, and your customer does not know your name yet. They type something like “who are the best commercial HVAC companies near Palm Beach Gardens?” and the model returns two or three businesses. That is the entire shortlist. There is no page two, no ten blue links, no scrolling. If you are not in those two or three names, the customer never learns you exist — and nothing in your analytics will ever tell you it happened.

Being absent from an AI answer is the first marketing problem in history that leaves no trace. No impression, no click, no bounce. Just silence.

Second page of Google was bad. Not existing in the AI's answer is worse, because the customer never sees a list at all.Why this is hard to notice

Three things have to be true before ChatGPT names you

There is no keyword to buy and no setting to switch on. When a model assembles a recommendation, it is drawing on what it can read about you, what it can verify about you, and who else vouches for you. All three have to hold.

1. An AI can read your site and understand what you actually do

Open your own service page and read it as a stranger would. Can you tell, in the first two sentences, exactly what the company does, who it serves, and where? A great many websites lead with a slogan and never plainly say “we install and service commercial HVAC systems in Palm Beach County.” A human infers it from the photos. A language model does not infer; it extracts. Vague, atmospheric copy is invisible copy.

The same applies to structure. Headings that pose the question a customer would ask, followed immediately by a direct answer, give a model a clean passage to lift. Structured data — the machine-readable summary of your name, address, phone, services and areas served — removes the guesswork entirely.

2. Your business facts agree everywhere they appear

Your website, Google Business Profile, Yelp, Facebook, industry directories, chamber listings and old press mentions all say something about you. When those sources disagree — an old phone number here, a former address there, a service you dropped two years ago — a model has to decide which version to trust. Frequently it resolves that uncertainty by recommending a competitor whose details are consistent.

This is the least glamorous item on the list and the most commonly broken. It is also the one you can fix fastest, because it is clerical work rather than creative work.

3. Sources the model already trusts mention you

This is the one owners underestimate, and it is usually the binding constraint. A model rarely forms a view of your category from your website alone. It reads directories, review platforms, trade associations, local publications and roundup articles. If every credible source in your market discusses five companies and you are not among them, a polished website will not rescue you.

So the useful question is not “how do I optimise my site for ChatGPT.” It is “which sources is AI actually reading about my category, and am I present in them.” Those two questions lead to very different work.

Run the diagnostic yourself, in about twenty minutes

You do not need a tool or a consultant for this part. You need a notepad and the discipline to never type your own company name.

Write five questions a customer would actually ask

Not keywords — questions, phrased the way a person types into a chat window. Mix the angles: a recommendation question (“who are the best…”), a comparison question (“should I use X or Y for…”), a problem question (“my system keeps doing this, who fixes that?”), a cost question, and a local question naming your city. These are longer and more specific than anything you would target in traditional search, and that specificity is exactly why they carry buying intent.

Ask all four engines, not just one

ChatGPT, Google AI, Gemini and Perplexity read different sources and reach different conclusions. Being named by one and ignored by three is common and tells you something useful about which sources you are missing from. Run every question through every engine and write down which businesses appear.

Record the pattern, not the verdict

Three columns: the question, which companies were named, and which sources the answer cited. After twenty questions the pattern is usually obvious — one or two competitors recur, and the same handful of directories or publications keep showing up as sources. That list of recurring sources is your work order.

Repeat it in a month

This is the step people skip. AI answers move as models update and as the sources behind them change. A single snapshot tells you where you stand today; two snapshots tell you which direction you are heading. Put it in the calendar.

What to fix first

If your business facts disagree across the internet, start there — it is a weekend of unglamorous corrections and it removes the ambiguity that pushes a model toward someone else. If your facts are clean but your site is vague, rewrite your two most important service pages so a stranger could state what you do after two sentences. If both are solid and you are still absent, the problem is authority, and the fix is getting into the sources your market is actually read through. That last one is slow, measured in months, and it is also the most durable advantage once you have it.

One honest caveat: nobody can guarantee a model will recommend a particular business, and anyone who promises otherwise is selling you something. What you can do is improve the clarity, consistency and credibility of the information AI has to work with, which raises your probability of being named. That is the whole game.

A note on the terminology

You will see this work called answer engine optimization (AEO), generative engine optimization (GEO), LLM optimization, ChatGPT SEO or AI search visibility. They describe the same discipline from slightly different angles. The acronyms matter to agencies; they do not matter to you. The question that matters is whether a prospective customer asking AI who to hire ends up hearing your name.

Lisa T. Miller, founder of TechStack Strategy

Let’s talk about your business

I’m Lisa. The best conversations I have aren’t sales calls — they’re owners walking me through how their day actually runs while I point out where AI and automation can improve operations and increase profits. Call me, or pick a time that works, and we’ll go through it together: your business, your numbers, and real strategies you can use.

See how an AI Assistant works(561) 220-3302
See how an AI Assistant works(561) 220-3302