ChatGPT Names Businesses. Is Yours One of Them?
Open ChatGPT right now. Ask it "who is the best [your trade] in [your city]?" Look at what comes back.
If your business is in the answer, you are already capturing AI-referred customers. If it is not, every one of those customers is going to a competitor — and that competitor may not even know why their phone is ringing more.
This is not theoretical. ChatGPT has hundreds of millions of active users. A growing share of them use it to find local services. The businesses that AI names capture those customers. The businesses it does not name are invisible.
How ChatGPT Decides Who to Recommend
When ChatGPT has web search enabled, it uses Google's search index via SerpAPI. Here is what happens behind the scenes:
- You ask "best electrician in Austin"
- ChatGPT breaks this into multiple sub-queries: "top rated electricians Austin TX," "electrician reviews Austin," "licensed electrical contractors Austin," and others
- It searches each sub-query simultaneously
- It reads the top results for each one
- It looks for businesses that appear authoritatively across multiple sub-queries
- It synthesizes a recommendation based on the aggregate evidence
This process is called query fan-out and it is the key to understanding how to get recommended. Your business cannot just optimize for one keyword — it needs to be the authoritative answer across every sub-query ChatGPT generates.
Read the full breakdown of how AI recommends local businesses.
The 6 Steps to Getting Recommended
Step 1: Make Sure AI Knows You Exist
AI systems verify businesses through entity recognition. Your business name, location, and services need to appear consistently across your website, Google Business Profile, directory listings, and social media. Any inconsistency — different names, different addresses, conflicting service descriptions — weakens entity recognition.
Step 2: Build Deep Topical Authority
Your website needs to demonstrate deep expertise in your trade. A single-page website that says "we do electrical work" is not enough. You need detailed content about each service you offer, in each area you serve — the kind of content that answers the specific sub-queries AI generates.
This is exactly what Elevair's hidden pages provide. Each hidden page targets a specific cluster of AI sub-queries for your trade and market.
Step 3: Get Cited by Trusted Sources
AI systems weight citations from authoritative sources. Getting listed on Clutch, G2, Expertise.com, industry-specific directories, and local business publications all create citation signals. A mention in a roofing industry publication carries more weight than a mention on an unknown blog.
Step 4: Keep Your Content Fresh
AI systems favor recent information. A website last updated in 2023 carries less authority than one updated this month. Regular publishing — blog posts, updated service pages, new case studies — maintains the recency signal that AI needs to recommend you with confidence.
Step 5: Build Review Velocity
Review count matters, but review recency matters more. A business getting 10 new Google reviews per month sends a stronger signal than a business with 200 reviews that stopped coming in a year ago. Automated review requests after every completed job build the velocity that AI systems weight.
Step 6: Answer the Phone
There is no point being AI-recommended if the customer calls and hits voicemail. An AI phone receptionist that answers every call 24/7, qualifies the lead, and books the appointment closes the loop between recommendation and revenue.
The Test You Can Run Today
Do this right now:
- Open ChatGPT, Perplexity, and Gemini
- Ask each one: "Who is the best [your trade] in [your city]?"
- Document what comes up
- If your business is not named, that is your gap
If you want Elevair to run a comprehensive AI audit across all platforms with detailed analysis, contact Walker at williamdeyo@elevair.org.