How to Get Your Business Recommended by ChatGPT and Other AI Assistants

AI assistants recommend businesses they can read, verify, and trust. When someone asks ChatGPT or Claude for “a good roofer near me,” the assistant pulls from websites it can clearly understand, listings it can cross-check, and reviews it can weigh. Most small business websites fail the first step: they are too slow, too cluttered, or too unstructured for a machine to confidently parse. Here is how the selection actually works, and what to do about it.

How does an AI assistant pick which businesses to mention?

Think about what the assistant needs before it will put its confidence behind a recommendation. It needs to know what you do, where you do it, and whether you are real and reputable. It gathers that from three places:

Your website. Not the design, the substance. Can a machine reading your pages state your services, your service area, your hours, and your phone number without guessing? On a clean site, yes. On a cluttered one, it finds twelve layers of visual code and gives up.

Public listings. Your Google Business Profile, map entries, and directories. Assistants cross-check. When your website, your profile, and your listings all agree on your name, address, and phone, confidence rises. When they disagree, you look unreliable to a machine that cannot call and ask.

Reviews. Volume, recency, and what they say. Assistants read them and weigh them the way a careful stranger would.

Here is the fresh part: almost nobody on Main Street is competing on this yet. The businesses showing up in AI answers today are mostly there by accident. Doing it on purpose is an open lane.

Why can’t the assistant read my current site?

The common blockers, in order:

1. No structured data. There is a standard way to label your site so machines know “this is a dental practice, here are its hours, here is its service area.” Most small business sites simply do not have it.
2. Slow, heavy pages. Systems reading the web on a budget give up on pages that take 8 seconds and 200 files to load. Slow costs you here too.
3. Buried facts. Your services live in a slideshow image. Your hours are in a photo of a sign. Machines read text, not pictures of text.
4. Vague words. “Welcome to our website! We offer quality solutions.” A machine cannot recommend a quality solution. It can recommend a furnace repair company in Manchester.

What can I do today?

Real steps, no purchase required:

1. Say what you do, in text, on your homepage. “Family dentist in Kirkwood, MO” beats any slogan. Put your city in writing.
2. Complete your Google Business Profile. Every field: services, hours, photos, area. Keep it exactly consistent with your website.
3. Ask for reviews, steadily. A few real reviews every month beats a burst once a year. Reply to them; the replies are read too.
4. Put your facts in text. Hours, prices, service list, phone. If it currently lives in an image or a PDF, also write it as plain text on the page.
5. Ask an assistant about your business. Literally ask ChatGPT or Claude “who does [your service] in [your town]?” See if you exist. That is your baseline.

What does a machine-readable website look like?

Under the hood, it is fast, light, and labeled. Every page states its purpose plainly. Structured data announces your business type, services, area, hours, and real reviews in the standard format machines expect. Nothing important is trapped in images or clutter.

This is exactly how Shmove builds every site it moves: the structure and labeling are automatic, not an add-on. And if you already rank well on Google, a proper move protects that too; readable-to-AI and ranked-on-Google are built on the same clean foundation. The businesses that get this right in the next year or two will be the ones assistants learned to trust first.

Find out what is wrong in 60 seconds

Or skip all this. Enter your web address and we’ll tell you exactly what’s wrong with your site. Free, 60 seconds, no account needed.