How to Get Recommended by ChatGPT and AI Search as a Local Business: A 30-Day Plan

To get a local business recommended by ChatGPT and other AI search tools, make your business easy to verify and easy to quote. That means identical business facts everywhere, service pages that answer real questions with real numbers, schema that matches your visible content, a strong Google Business Profile with recent reviews, and monthly testing.

Owners ask me some version of this every week now: "My customer said she asked ChatGPT for a recommendation and it named my competitor. How do I fix that?" There is no trick and no paid placement. But there is a pattern to which businesses get named, and most of it is fixable in a month of focused work. If the terms are new to you, start with what GEO and AEO are, then come back for the plan.

How AI assistants pick a local business

When someone asks "who is a good HVAC company in Fort Collins," an AI assistant pulls from a mix of web search results, business profiles, review sites, directories, and the pages it can read on your site. It favors businesses whose facts agree across sources, whose pages clearly state what they do and where, and who have credible third-party signals like recent reviews. It is cautious about recommending what it cannot confirm. Your job is to remove every reason for that caution.

Week 1: Baseline and business facts

• Write down 10 to 15 questions real buyers ask, in their words: "best emergency plumber near Loveland," "how much does a roof inspection cost in Greeley," "who installs heat pumps in Longmont."
• Ask each question in two or three AI assistants and in an AI search mode. Record whether you are named, who is named instead, and what sources are cited.
• Pick one exact version of your business name, phone number, service area, and hours. Write it down. This is your source of truth.
• Audit your website footer, contact page, Google Business Profile, social profiles, and the top directories in your industry against that source of truth. Fix every mismatch.

The baseline matters because AI answers shift from week to week. Without a record of where you started, you cannot tell whether anything you did worked.

Week 2: Fix the website

• Give each core service its own page. Open with a direct two- or three-sentence answer: what it is, who it is for, where you offer it, and a price range.
• Add a short FAQ to each service page with the questions customers actually ask, answered plainly in 40 to 70 words each.
• Add structured data: LocalBusiness or Organization with your exact name, phone, and service area; FAQPage that matches the visible questions word for word; and BreadcrumbList. The schema markup guide walks through each one.
• Publish an llms.txt file at your domain root with a clean summary of who you are, what you do, and where. Here is what llms.txt is and what belongs in it.
• Check robots.txt and make sure you are not blocking the crawlers AI search tools use.
• Make sure pages load fast on a phone. Slow, script-heavy pages are harder for everyone to read, machines included.

Week 3: Strengthen what others say about you

• Complete every field in your Google Business Profile, choose the most accurate primary category, list your services, and add recent photos of real work. The Google Business Profile guide covers the full checklist.
• Set up a simple review request that goes out after every completed job. Do not script or incentivize reviews; just ask, and make it easy. Reviews that naturally mention the service and the town are especially useful.
• Reply to reviews, including the critical ones, calmly and specifically.
• Get listed accurately on the major directories and on one or two industry or local association sites where your customers would actually look.
• Look for one credible local mention: a chamber of commerce listing, a sponsorship page, a local news quote. One real mention beats fifty junk directory links.

Week 4: Publish answers and measure

• Write two articles that answer high-intent buyer questions directly, ideally ones where you saw a competitor named in week 1. Lead with the answer, include real price ranges, and keep it honest.
• Add one comparison or "how to choose" page for your main service. AI assistants lean on these when buyers ask for recommendations.
• Re-run your week 1 questions and record the results the same way. Calculate a simple citation rate: questions where you were named, divided by questions asked.
• Put a recurring monthly reminder on your calendar to re-test, update prices and hours, and add one new answer page.

Mistakes that keep good businesses out of AI answers

• Three slightly different business names across the web, often an old DBA, a legal entity name, and a shortened brand name. Pick one public name and use it everywhere.
• A phone number that changes by page because of old tracking numbers. Keep one primary number in your footer, schema, and profiles.
• Service pages that say "contact us for pricing" and nothing else. AI tools quote businesses that give a range; they skip the ones that hide it.
• FAQ schema that does not match the questions on the page, or schema copied from a template with another business name still in it.
• A beautiful site built mostly in images or heavy scripts, with very little readable text describing what you do and where.
• Ignoring reviews for months, then asking for twenty in one week. Steady and genuine beats a burst every time.

None of these are expensive to fix. Most are an afternoon of careful editing. They are also the first things I check when an owner tells me a competitor keeps getting named instead of them, because one stale listing with the wrong phone number can be enough to make an assistant hedge.

What to expect, honestly

You may see movement within the month, especially if your business facts were badly inconsistent before. More often, results build over two to three months as AI tools and search indexes pick up the changes. Anyone who guarantees a ChatGPT recommendation is selling something they do not control. What you can control is being the clearest, most consistent, best-reviewed answer for your service in your area, which is exactly what these systems are trying to find.

One more thing: being recommended only matters if someone answers when the customer calls. Make sure your phones and forms are covered before you push for more visibility.

Where to go deeper

This plan is the 30-day version. The mid-2026 GEO checklist is the full reference list, and our earlier piece on local business AI search visibility explains how to track citations over time. Every site we build at ChaseDaddy.com ships with this foundation in place, including schema, FAQs, and llms.txt. If you want us to run the baseline test for your business and show you who AI names instead of you, book a call with Chase.