If you type "Who can help my Frisco business show up in ChatGPT answers?" into ChatGPT itself, you're asking two things: what the engines look for, and who does the work. Here are both.
ChatGPT, Perplexity and Google's AI name a business when its own website has a page that answers the buyer's exact question for that trade and that city, in plain sentences, and when its listings (Google Business Profile, LinkedIn, a directory or two) describe it the same way. In a crowded market the engines have dozens of candidates for every trade and name the few whose pages do that. The rest stay invisible.
We're Deca Digital, a studio based in Celina, about 20 minutes up the Dallas North Tollway. We do this work, called answer engine optimization, for Frisco businesses, and we run a free AI visibility check at /aeo that shows which businesses the engines name for your trade today.
Why this city is a harder market than it looks
Frisco grew from about 200,500 residents at the 2020 census to roughly 237,000 at the Census Bureau's mid-2025 estimate, and it keeps attracting corporate headquarters, a sports and entertainment district, and the retail and professional services that follow them. That shows up in who contacts us: medical and dental practices that can't keep up with after-hours questions, professional-services firms with intake forms nobody reads until morning, and new restaurants, studios and boutiques with a social media page and no real website.
For an AI engine, that growth means a long candidate list. An answer engine is a tool like ChatGPT that gives one written answer instead of a page of links. Behind the scenes it runs a web search, reads the pages that come back, and writes three to five names into its answer. Asked for a med spa or an estate-planning attorney here, it has far more than five to choose from. It quotes the pages that give it something quotable: a sentence that answers the question with the trade and the city in it.
How does a Frisco business get recommended by ChatGPT?
We run a fixed set of customer questions through ChatGPT, Perplexity and Gemini on a schedule for our own trade in this area and count who gets named and which pages get cited. Three patterns have held in every run.
First, the businesses that got named had a page on their own site that answered the exact question asked. Not a home page with a slogan, but a page about that service in that city. When the engines started naming us, the pages they cited were our city pages, not our home page.
Second, the engines don't all read the same sources. ChatGPT cited businesses' own websites almost exclusively. Perplexity also leaned on LinkedIn company pages and directories such as DesignRush. Gemini favoured businesses with many city and service pages, each one a separate chance to match a question.
Third, nobody we saw got named for being good. They got named for being described clearly where the engine happened to look. Our post on why AI answers name your competitor and not you goes through the four usual reasons.
What the engines look at, in order
For a business here, this is the checklist, in roughly the order of weight we've counted.
- Your own site: one page per service you want to be named for, written for this city, with the city and the service in the heading and in the first sentence. A plain definition of what you do, who does it, what it costs or how pricing works, and how to book.
- Google Business Profile: the right primary category, this city in your service area (even if your office sits just over the city line), real hours, and a description that matches your site's wording as closely as the character limit allows.
- A LinkedIn company page with the same name, the same one-paragraph description and a link to the site. Perplexity cites LinkedIn often, so an empty or inconsistent page costs you there.
- One or two directories your buyers already use for your trade. For agencies that's DesignRush and its peers; for a med spa or a law firm it's the directories that already rank for your trade's searches. Pick two, fill them in completely, and stop.
- The same business name, phone number and description everywhere. The engines cross-check, and two versions of your name read as two different businesses.
- Recent reviews with replies. When the engines compare candidates they comment on how well reviewed each one is, and they have no way to see reviews you haven't asked for.
Our guide to the five sources AI engines trust covers each of these in more depth with one action apiece.
A worked example: the page a med spa would need
Say the question a buyer types is "Which med spa in Frisco does Botox, and what does it cost?" Here's the page that answers it.
It gets its own URL, with the service and the city in it, not a tab on a general services page. The heading is the question answered as a statement: "Botox in Frisco: what it costs and what to expect." The first sentence does the heavy lifting, because that's the sentence an engine lifts into its answer:
"[Practice name] is a med spa on [street] in Frisco offering Botox for forehead lines, frown lines and crow's feet, performed by a licensed injector under physician oversight, priced per unit at [your price], with most first visits taking about 30 minutes."
Below that, four or five questions buyers actually ask, each with a one-paragraph answer in the same plain style: how many units a first treatment typically takes, how long results last, who shouldn't have it, what the consultation includes, and how to book. Then the price or range, the hours, and a booking link. No stock photo banner above the fold, no "welcome to our oasis" paragraph before the facts. (Our post on writing a service page an AI can quote shows the layout for any trade.)
Then the same first sentence, shortened, becomes the Google Business Profile description and the LinkedIn About text. The engines now find one consistent description of this business in three places, and one page that answers the buyer's question word for word. That's the whole trick. Repeat it for each service you want to be named for; the same approach fits a law firm's practice-area pages, a dental office's treatment pages, or a restaurant's private-dining page.
AI engines don't rank businesses; they quote the ones whose pages answer the question.
How to measure it honestly
AI answers change from day to day. The same question asked on Tuesday and Friday can name different businesses, so a single check proves very little either way. One screenshot, good or bad, is noise.
The honest measure is a count: a fixed list of twenty or more questions your customers would ask, run through the same engines on a schedule, with the number of answers that name you written down each time. Watch that number over months, not days. Our ten-minute test shows how to run the first round yourself and what to write down; the free check at /aeo does the same with more questions and a one-page report.
How Deca Digital helps
We build the service-and-city pages described above, fix the Google Business Profile, LinkedIn page and the two directories that matter for your trade so they say the same thing as the site, and run the monthly count so you can see whether it's working. The same pages feed the AI assistants we build, since an assistant trained on clear answers gives clear answers. How we work locally is on our page for the city, and the full AEO service is at /aeo.
To find out which businesses the engines name for your trade today, book a free discovery call and we'll run the check before we talk.