A homeowner asks ChatGPT for a plumber. Then they ask Gemini the same question. About three out of four times, the two engines name a different shop.
That is not a bug. It is the shape of local AI search in late 2026, and it changes what "showing up in AI answers" actually means for a contractor.
The Numbers: Two Engines, Two Answers
Searchable tracked 29 local service businesses across unbranded prompts answered by both ChatGPT and Gemini between July 28 and October 5, 2026. The two engines agreed on a median of 26% of the businesses they recommended for the same question. In the ten weeks ending September 15, the overlap was 33%.
For B2B software companies, the same comparison landed at 46% in both windows. Local service businesses disagreed more than software brands did, and the gap held across every version of the analysis Searchable ran. The size of the gap varied from 8 to 21 percentage points depending on settings, but the direction was consistent.
Source: Searchable, July 8 to October 5, 2026. Unbranded prompts answered by both engines for 29 local service businesses and 41 B2B software companies in the later window (28 and 44 brands in the earlier window).
What this means for a trades business: being recommended by ChatGPT tells you almost nothing about whether Gemini will also recommend you. The reverse is just as true. Checking one engine and calling it done leaves the other half of your potential customers unseen.
Why the Engines Disagree
ChatGPT and Gemini pull from different data, apply different thresholds, and weight different signals. The result is two recommendation pipelines that share a goal but not a method.
Different recommendation rates. The SOCi 2026 Local Visibility Index tracked 350,000 locations and found ChatGPT recommends 1.2% of them, Gemini recommends 11%, and Perplexity recommends 7.4%. Gemini is roughly nine times more likely to name a given business than ChatGPT. A contractor who is invisible to ChatGPT may already appear in Gemini answers.
Source: SOCi, 2026 Local Visibility Index, 350,000 locations. Reported by GeekPowered Studios.
Different star-rating floors. ChatGPT tends to recommend businesses averaging 4.3 stars or higher. Gemini's threshold sits lower, at 3.9 stars. Perplexity lands between them at 4.1. A shop at 4.1 stars can show up in Gemini answers and still get cut from ChatGPT's shortlist.
Source: SOCi 2026 Local Visibility Index, via GeekPowered Studios.
Different source diets. ChatGPT draws on Bing search integration and its training data, which leans on established directories and review platforms. Gemini integrates Google's own index, which means a clean Google Business Profile and Merchant Center feed carry more weight there. Perplexity runs live web searches and cites sources directly, favoring businesses with original content on their own sites.
A plumber with a strong Google Business Profile and fresh service pages may get picked up by Gemini and Perplexity while staying invisible to ChatGPT, which may be waiting on a Bing index update or a directory listing that has not synced.
Different trust in license signals. Cheers tracked plumbing answers across all four engines through September 20, 2026. Perplexity mentioned "licensed," "insured," or "bonded" in 53.8% of its plumbing answers. Gemini did the same in 40.1%. ChatGPT mentioned it in 15.1%. If a contractor's website buries license and insurance details in a footer link, Perplexity catches it. ChatGPT may not.
Source: Cheers Market Baseline, August 31 to September 20, 2026.
What This Looks Like for a Real Shop
Picture a Clifton HVAC contractor with 120 Google reviews at 4.6 stars, a completed Google Business Profile, and service pages for each town they cover. Gemini recommends them. ChatGPT does not.
The gap comes down to which signals each engine reads first, not the quality of the work. ChatGPT may not have the business in its Bing index yet, or the business may be missing from the directories ChatGPT's training data leans on. Gemini, pulling from Google's index, already sees the profile, the reviews, and the service pages.
The same contractor runs the question through Perplexity and gets cited because their service pages directly answer "Do you offer emergency HVAC repair in Clifton?" with a clear yes and a service-area list. Perplexity reads that page live and links to it.
One contractor asked all three engines the same question and got three different answers. That is how local AI search works in late 2026.
What Contractors Should Do
Check each engine separately
Run the same five or six prompts through ChatGPT, Gemini, and Perplexity. Use unbranded phrasing: "Who is a good HVAC company near me?" not "Is [Business Name] recommended by AI?" Log which engine names the business and which does not. Do this monthly, because the answers shift.
A 90-day tracking spreadsheet with one row per prompt and one column per engine is enough. The goal is a baseline. Without it, a contractor has no way to know whether visibility improved or whether a single good answer was a fluke.
Build for the engine that is weakest
If ChatGPT is the gap, focus on the signals it reads. Get the business into Bing Places. Make sure the listing matches the Google Business Profile exactly. Get listed on the directories ChatGPT's training data tends to cite: Yelp, Angi, HomeAdvisor, Facebook. Keep the NAP (name, address, phone) identical across all of them.
If Gemini is the gap, the fix is Google Business Profile and Merchant Center. Complete every field. Add service-area descriptions. Keep hours current. Respond to reviews with detail, not just "Thanks." Add photos for each service.
If Perplexity is the gap, the fix is on-site content. Write service pages that answer specific questions in plain language. "Do you offer 24-hour emergency plumbing in Bergen County?" answered directly on a page Perplexity can crawl and cite.
Hit all three star thresholds
The SOCi data sets the floor at 4.3 for ChatGPT. A contractor sitting at 4.2 is one review away from clearing it or one bad review away from dropping below. Track the running average. Ask recent happy customers for reviews before the average drifts. A shop at 4.6 across 150 reviews is safer than a shop at 4.3 across 40.
Publish license and insurance details in plain text
Cheers found Perplexity mentions licensed, insured, or bonded in over half its plumbing answers. Put license numbers, insurance status, and bonding details on the homepage and every service page in text a crawler can read. A badge graphic does not count. The words need to be in the page text.
Add LocalBusiness schema
Businesses with schema markup get cited 3.2x more often by AI engines than businesses without it, according to Scatterbranch Marketing's 2026 research. The schema type should match the trade: HVACBusiness for HVAC, Plumber for plumbing, Electrician for electrical. The full step-by-step guide is on the FirstCall LocalBusiness schema walkthrough. For a broader view of how AI Overviews interact with the local map pack, see the FirstCall guide to AI Overviews vs the local pack.
The Bottom Line
A contractor who shows up in ChatGPT but not Gemini has solved half the problem. The other half takes a different set of fixes, because the engines read different signals and apply different rules.
Checking one engine and assuming the rest follow is the most common mistake trades businesses make in 2026. The data says they do not. A 26% overlap means a business recommended by ChatGPT has roughly a one-in-four chance of also being recommended by Gemini for the same question.
Run the free FirstCall AI visibility audit to see where the business stands across all three engines, and get a punch list for the one that is missing it.
Frequently Asked Questions
Do ChatGPT and Gemini recommend the same local businesses?
No. Searchable tracked 29 local service businesses from July 28 to October 5, 2026 and found a 26% median overlap in the businesses each engine recommended for the same prompt. A plumber recommended by ChatGPT frequently does not appear in Gemini's answer to the same question.
Why does ChatGPT recommend fewer businesses than Gemini?
The SOCi 2026 Local Visibility Index found ChatGPT recommends 1.2% of 350,000 tracked locations, while Gemini recommends 11%. ChatGPT also applies a higher star-rating floor, 4.3 stars compared to Gemini's 3.9. A business that clears Gemini's threshold may not clear ChatGPT's.
How do I check if AI recommends my contractor business?
Run the same five or six unbranded prompts through ChatGPT, Gemini, and Perplexity separately. Log which engine names the business. Repeat monthly, because AI recommendations shift. The free FirstCall audit automates this across all three engines and returns a per-engine breakdown.
Which AI search engine matters most for trades businesses?
All three matter, but for different reasons. ChatGPT has the largest user base. Gemini reaches 750 million monthly users inside Google. Perplexity performs live web searches and cites sources directly, which means a contractor's own service pages can earn a citation even without a strong directory presence.
Does a 4.0-star rating hurt AI visibility?
It depends on the engine. ChatGPT's threshold sits at 4.3 stars per the SOCi 2026 index, so a 4.0 rating will likely keep a business out of ChatGPT answers. Gemini's floor is 3.9, so the same rating clears it. Perplexity sits at 4.1. Tracking the running average across all review platforms is the safest approach.