Is Your Business Showing Up on ChatGPT? How to Check in 2026
Check whether ChatGPT names your local business with a repeatable question log, source review, and decision rule for missing or inaccurate answers.
By Ian Ho, Xomer
Article images are AI-generated illustrations and may include AI-generated people. They do not depict Xomer clients.
TL;DR: Run a free baseline across ChatGPT, Perplexity, and Google using representative customer questions. Record whether the business is named, whether details are accurate, and which sources appear. If it is missing, investigate several possible information and retrieval gaps.
To check whether ChatGPT shows your local business, ask questions a customer might use and save the dated answer. A branded search tells you whether it recognizes your name; a service-and-town question tests a different, competitive answer.
You can run a useful baseline in an afternoon with no paid tools. This walkthrough covers what to record and what it tells you. The guide to AI search answers for local businesses compares what these engines retrieve and cite.
First, what "AI search optimization" actually means
AEO stands for answer engine optimization. The work is measuring what the answer surfaces say about you, then improving the accuracy and reach of the sources they pull from. Measuring tells you which fixes matter, so it carries as much weight as the fixing.
Step 1: Choose three relevant answer surfaces to test
Start with three surfaces; they may return different answers. Product modes, citation display, and the answers themselves can differ between them. Start a fresh conversation for each question. Record the mode, location context, and whether account memory or personalization is enabled, as well as the answer.
ChatGPT. Note whether web search is used and whether citations appear. OpenAI's ChatGPT search help describes the search and source display. Access and answers can vary by plan, account, date, and wording, so the mode is part of the record.
Perplexity. Go to perplexity.ai and record the displayed sources for the same question.
Google's AI results. Run the same search on Google and note whether an AI answer appears, where on the page it sits, and which sources it shows. Google's AI feature guidance describes site eligibility and links.
Step 2: Ask the exact questions a customer would ask
The non-branded questions are the ones that matter here. Searching your own business name tests whether an engine knows you exist. Asking who the best plumber in town is tests whether it will put you forward. Run both sets and keep them apart in your notes.
- "Who is the best [your trade] in [your city]?"
- "Who should I hire for [the specific job] near [your city]?"
- "I need [your service] in [your city], who do you recommend?"
- "What are the top-rated [your trade] companies in [your city]?"
Run each question across all three surfaces. You can also test follow-ups such as "can you give me a few more options" or "who else?" Keep any extra names in a separate column, because a business that shows up only after prompting is telling you something different from one that led the first answer.
"Searching your name tells you whether the engine knows you. Asking for the best plumber in town tells you whether it puts you forward."
Step 3: Read the answer with three specific questions in mind
When the results come back, check three things in this order.
Are you named at all? Record a yes or a no for every query on every engine. A column of noes is your starting line.
Is the information accurate? If you appear, check the phone number, service area, hours, and the sources it cited. If an answer repeats an outdated detail, open its cited source and check whether that detail is still published there. Fix the underlying source where you can reach it, and log the wrong answer with its date so you can tell later whether the fix took.
Where and how are you mentioned? Record the ordering, the wording used about you, and any links or citations. Being named third in a list is worth logging and worth nothing on its own until you can tie it to a call.
For Corpus Christi service businesses, summer heat is a reason to test emergency-AC questions in July instead of February. Compare whatever the engines say against your tracked calls and bookings for the same weeks.
Four possible gaps to investigate when a business is missing
If the checks came up empty, four gaps are worth investigating first. Wording, location and mode can change the result too, so keep them the same on every run.
1. Check business identity online. Your name, current address or service area, and phone number should read the same everywhere they appear. Two versions of your phone number across four directories is an ambiguity you can remove for free.
2. You have a thin website or no website. A single page of slogans gives a customer almost nothing to read and a retrieval system almost nothing to quote. Publish the plain facts on a page a crawler can reach: services, area, credentials, contact.
3. Review third-party evidence. Current, genuine reviews do a job your own site cannot do for you, because they are the part of your reputation you did not write.
4. Check service and location detail. "We handle panel upgrades and EV charger installs across the north side of the city" is a sentence a machine can quote back. "Quality you can trust" gives it nothing. Write the first kind.
For local service businesses in Savannah, cold winter nights are a reason to run the same question set on heating work in January. Document every run: one is an anecdote, the same test repeated through the year is worth reading.
What to do first
Start with the factual conflicts you can see. Claim the profiles that apply to you, fill them in properly, and reconcile the name, address or service area, and phone number across every source that carries them. Order the rest of the work by what your own query set turned up, since no generic priority list knows which questions your customers ask.
Next, read your main pages the way an engine would and check that they state services, locations, credentials, and proof in plain sentences. The guide to auditing ChatGPT answers about a local business covers what is observable from outside, and the AEO introduction explains how to keep a baseline current.
Grow your question list from real inquiries. A home service contractor in Montgomery might add "who can fix a leaking water heater today" because a customer asked it on the phone last week. Note the service and location in each question, run the new questions on a set date, and file the answers with your other results.
Make the answer log a decision tool
Use one row per question and product: exact question, date, location context, mode, named businesses, your name present, factual errors, citation URLs, and screenshot. Keep branded and unbranded rows separate. Five repeatable questions are more useful than fifty prompts changed until one result looks flattering.
If you are named with wrong hours or service areas, follow the displayed citation to the underlying source and correct the fact you control. If you are absent but a cited page answers the customer's question better than yours, inspect your own page for that missing service detail. If no sources show or the answer keeps changing, run it again before you blame a page. Ask new callers where they found you, because a mention isn't a call.
Run the check yourself before you hire anyone, including us. That order helps us too: an owner with a dated answer log can see exactly what our report adds. If you want someone to audit a broader query set and the public sources behind it, bring your log to Xomer. We'll tell you which factual fixes to make first.
Add Xomer as a preferred source on Google. You can select Xomer if it appears in Google's source tool. Preferred sources are more likely to appear in Top Stories and may be highlighted in eligible AI Mode or AI Overviews results.