I asked ChatGPT to recommend a plumber in Austin, TX. It recommended "Lone Star Plumbing Solutions," a mid-size outfit with decent reviews but nowhere near the top of Google's local pack. The three highest-rated plumbers on Google Maps, the ones with 500+ reviews and 4.9-star averages, didn't appear at all. Neither did any of the businesses running Google Ads for "plumber Austin." That gap between Google visibility and AI visibility is the story every local service business needs to understand right now.
ChatGPT now has 900 million weekly active users. A growing number of those users are asking it to recommend service providers instead of typing into Google. The question isn't whether this shift matters. It's whether your business shows up when it happens.
The Experiment
I ran a simple test across three AI search engines: ChatGPT, Perplexity, and Google Gemini. The prompt was identical each time: "Recommend a plumber in Austin, TX for a kitchen faucet replacement."
I recorded every business name mentioned, then cross-referenced each one against Google's top 10 organic results, the local map pack, and Google Ads for the same query. I wanted to know: do AI recommendations match what Google thinks is relevant?
The short answer is no. Not even close.
What ChatGPT Recommended
ChatGPT produced a list of five businesses. The response was structured, confident, and included brief descriptions of each company's specialties.
- Lone Star Plumbing Solutions
- Capitol City Pipes & Drains
- Austin Reliable Plumbing Co.
- Hill Country Home Services
- Greenwater Plumbing
The list looked authoritative. If you were a homeowner scanning it quickly, you'd probably pick one and call. There was no indication that these results came from a fundamentally different selection process than Google's.
Perplexity recommended three of the same businesses, but swapped in "Barton Creek Plumbing" and "South Austin Pipe Works." Gemini agreed with ChatGPT on two out of five, but placed a completely different company at the top: "Travis County Plumbing Pros."
This tracks with broader research showing that AI search engines disagree on the #1 recommendation in 50% of queries. There's no single algorithm to optimize for. Each engine pulls from different source material and weighs signals differently.
Where ChatGPT Got Its Answers
ChatGPT doesn't crawl the web in real time for most queries. It synthesizes information from its training data, which includes content from review sites, trade directories, local news articles, and blog posts. When I asked it to explain its reasoning, it cited "online reviews and local service directories" but couldn't point to a specific URL.
Perplexity, by contrast, showed its sources. The recommendations came from Yelp listings, a local Austin home services blog, and an Angi (formerly Angie's List) roundup article.
This is the critical insight: 85% of AI citations come from third-party sources. Not from your website. Not from your Google Business Profile. From directories, review aggregators, blog posts, and articles that mention your business by name.
If your business isn't being talked about on those platforms, it's invisible to AI search. This is fundamentally different from traditional SEO, where you optimize your own site and compete in Google's algorithm. In AI search, your visibility depends on what other people say about you.
What the Recommended Businesses Had in Common
I dug into the online presence of the businesses that did get recommended. A pattern emerged quickly.
Consistent mentions across multiple platforms. Every recommended business appeared on at least four different third-party sites: Yelp, Angi, Thumbtack, and at least one local blog or news mention.
Detailed service descriptions. The businesses that showed up didn't just have a name and phone number on directories. They had complete profiles describing specific services, service areas, and specializations. "Kitchen and bathroom plumbing, water heater installation, emergency leak repair in Travis County" rather than just "plumbing services."
Recent review activity. All five of ChatGPT's recommendations had reviews from the past six months on at least two platforms. The AI appears to weight recency, probably because its training data has a freshness bias toward content that indicates a business is still active.
Named in editorial content. Three out of five appeared in local "best of" blog posts or neighborhood guides. Not paid placements. Organic mentions in articles written by local bloggers or news outlets.
What the Missing Businesses Lacked
The top-ranked plumbers on Google that didn't show up in any AI engine shared a different profile.
Google-only optimization. These businesses had invested heavily in Google Ads, Google Business Profile optimization, and local SEO. Their websites ranked well. But their presence outside of Google's ecosystem was thin.
Few or no directory listings. Some had a Yelp page with two reviews from 2019. Others had no Angi profile at all. Their strategy was clearly Google-first, which made sense when Google was the only game in town.
No editorial mentions. Nobody had written about them. No blog posts, no local roundup articles, no trade publication features. Their reputation existed entirely within Google's review system.
Generic or sparse website content. Several had websites with thin content pages. "We do plumbing. Call us." AI search engines scan pages looking for passages that directly answer specific questions. If your site doesn't contain a clear, extractable answer to "who is the best plumber for tankless installation in South Austin," the engine has nothing to cite. The businesses ChatGPT recommended all had detailed service pages with specific pricing, service areas, and specialties written in a way an AI could extract and use.
The pattern is clear. Local businesses that are invisible in AI search tend to have concentrated their entire digital presence on a single platform. When a new channel emerges that doesn't rely on that platform's data, they simply don't exist.
What Local Businesses Should Do
The fix isn't complicated, but it requires consistent effort across multiple channels. Here's what actually moves the needle for service businesses trying to show up in AI recommendations.
Claim and complete every directory profile. Yelp, Angi, Thumbtack, HomeAdvisor, BBB, and any industry-specific directories. Fill out every field. Add photos. Write detailed service descriptions using the language customers actually use when searching.
Generate reviews on multiple platforms. Don't funnel all review requests to Google. Split them across platforms. AI models look for consensus signals. A business with 200 Google reviews and zero Yelp reviews looks less credible to an AI than one with 100 Google reviews and 50 Yelp reviews.
Get mentioned in editorial content. Pitch local bloggers. Contribute expert quotes to home improvement articles. Sponsor community events that generate press coverage. The goal is to have your business name appear in third-party content that AI models will ingest.
Create detailed, specific website content. Write pages about each service you offer, each area you serve, and each problem you solve. "Emergency pipe burst repair in South Austin" gives an AI model much more to work with than "plumbing services." Contractors who optimize for AI visibility see results precisely because they provide this specificity.
Publish content that demonstrates expertise. Blog posts, how-to guides, case studies. Not for Google rankings (though that helps too), but because AI models use this content to assess whether a business is authoritative in its field.
How Long It Takes
Changing your AI visibility isn't an overnight fix. Based on the patterns I've observed, here's a realistic timeline.
Weeks 1-4: Claim directory listings, optimize profiles, begin review generation campaigns across multiple platforms.
Months 2-3: Start seeing mentions in AI responses for long-tail queries ("emergency plumber south Austin weekend"). Publish 4-6 detailed content pieces on your site. Pursue 2-3 editorial mentions.
Months 4-6: Broader visibility across AI engines for your primary service terms. By this point, a business with strong multi-platform presence typically begins appearing in AI recommendations for their core services.
The businesses that wait are going to face an increasingly difficult catch-up game. With 900 million weekly users already asking ChatGPT questions that used to go to Google, the shift isn't theoretical. It's happening now, and it favors businesses that show up across AI search results today.
If you want to see where your business currently stands, Loudmink offers a free AI visibility scan that shows whether ChatGPT, Perplexity, and Gemini recommend you, and what sources they're pulling from.
Frequently Asked Questions
Does ChatGPT use Google reviews to make recommendations?
Not directly. ChatGPT doesn't access Google's API or crawl Google Maps in real time. It uses information from its training data, which may include content that references Google reviews (like blog posts comparing businesses), but the Google review count itself isn't a direct ranking factor in AI responses.
Can I pay to show up in ChatGPT's recommendations?
No. As of now, there's no paid placement option in ChatGPT's responses. Visibility comes from having a strong, consistent presence across the third-party sources that AI models are trained on. This makes it more similar to earned media than paid advertising.
Why does each AI engine recommend different businesses?
Each AI model is trained on different data at different times, and each uses different weighting for its recommendations. Perplexity pulls from live web results. ChatGPT uses training data plus browsing capabilities. Gemini draws from Google's broader knowledge graph. Optimizing for one doesn't guarantee visibility in the others.
Is this more important than Google SEO?
Not yet. Google still drives more total traffic for most local businesses. But the trend line is clear, and AI search is growing faster than any other discovery channel. The smart play is doing both, especially since many of the tactics that improve AI visibility (directory presence, editorial mentions, detailed content) also strengthen your traditional SEO.
How often should I check my AI visibility?
Monthly at minimum. AI models update their knowledge regularly, and your competitors are making changes too. A business that shows up in March might not show up in June if a competitor builds a stronger third-party presence.