Google AI Overviews now appear on 68% of local searches while ChatGPT recommends only 1.2% of business locations. Here is what service businesses must do right now.
Ido Cohen · Published 2026-08-03 · Local SEO
Google AI Overviews now appear on 68% of local searches, while the traditional local pack shows up on only 39% of the same queries — and most local businesses have no idea they are losing the gap. A new Whitespark study and SOCi's 2026 Local Visibility Index, published in late July and now dominating conversations in the SEO community heading into August, put hard numbers on something service-business owners have been feeling for months: the rules for showing up locally just changed, and they changed fast. If you run a plumbing company, a dental practice, a law firm, or an HVAC shop, this is the most important local search story of the year.
The local search page has been quietly restructured, and most business owners did not get the memo.
According to a Whitespark study cited widely in Search Engine Journal's July 2026 coverage, AI Overviews now appear on 68% of local searches while local packs appear on only 39% of the same queries. That is a 29-percentage-point gap where your customers are receiving AI-generated answers without ever seeing the map results you have spent years optimizing. The two surfaces used to be the same game. In 2026, they are not.
On top of that, Google confirmed in July 2026 that AI Overviews picked up a Top Stories news carousel (live on mobile in the US as of July 17), AI-generated images, and new citation displays. Search Console also quietly received new controls so site owners can manage how their content appears inside AI features. Each of these changes sounds incremental. Added together, they push traditional blue links further down the page — and further from the customer's eye.
The practical implication for a plumber, dentist, or HVAC contractor is stark: if you are not being cited inside AI Overviews, you are invisible on more than two-thirds of the searches that matter most to you.
Most service businesses assume that ranking in Google's local pack means they are visible everywhere. SOCi's 2026 Local Visibility Index — which analyzed more than 350,000 business locations across 2,751 brands — proves that assumption is dangerously wrong.
Here is what the data actually shows:
According to the SOCi research, AI visibility is three to 30 times harder to achieve than ranking in traditional local search. ChatGPT — now approaching a billion weekly users globally — recommends just 1.2% of locations. Fewer than half of the brands leading in traditional local search also appear in AI recommendations. In retail specifically, the overlap between the top 20 traditional search brands and the top 20 AI-recommended brands is only 45%.
The Search Engine Land writeup of the SOCi report adds a detail that should alarm every service operator: business profile information was only about 68% accurate on ChatGPT and Perplexity, compared with 100% accuracy on Gemini, which pulls directly from Google Maps. That means even the businesses that do get recommended on ChatGPT are often being described with wrong addresses, wrong hours, or wrong phone numbers.
This is not a future problem. It is happening right now, every time a homeowner types "best HVAC company near me" into ChatGPT.
Understanding why AI search is 30x more selective than traditional search helps you fix the problem instead of just worrying about it.
Google's local pack ranks businesses using a combination of relevance, proximity, and prominence — and proximity alone can get a mediocre business into the top three. AI platforms work differently. As SOCi's researchers put it, "AI systems are not ranking pages. They are evaluating confidence." An AI assistant recommends a business because it has high confidence in the accuracy, quality, and reputation of that business — not because it is the closest.
What consistently separates the locations that AI recommends from those that disappear:
The SOCi data found that fewer than half of brands leading in traditional local search also appeared in AI recommendations. Single-channel strength — ranking well on Google while being absent or inconsistent elsewhere — is no longer sufficient.
Here is a specific, actionable insight that most local service businesses are missing entirely.
According to Search Engine Journal's July 2026 analysis of AI Overviews behavior, "price, cost, and buy" queries trigger AI Overviews more than 80% of the time — and most local businesses refuse to answer them on their websites. The fear is understandable: nobody wants to publish prices online and get locked into a number. But that fear is costing you visibility exactly where customers are ready to buy.
When someone types "how much does AC repair cost in Phoenix" or "what does a dental crown cost in Austin," they are searching with commercial intent. They want to hire someone, not just learn something. AI Overviews show up on more than 80% of those queries. If your website has no pricing content — not even a range, not even a "prices vary based on X" explanation — the AI has nothing to cite, and a competitor who does answer the question gets the citation instead.
The fix is not to publish a fixed price sheet. It is to publish honest, helpful cost guides that explain the factors that affect price in your trade. A page titled "How Much Does Water Heater Replacement Cost in [City]?" with real numbers and real explanations is the kind of content AI Overviews pull from.
The structural changes Google made to AI Overviews in July 2026 deserve attention beyond the headline numbers.
The Top Stories carousel inside AI Overviews went fully live on July 17, 2026, for mobile users in the United States. This carousel surfaces timely, fresh content for "developing topics" queries — and it also highlights each user's "Preferred Sources." For service businesses, the developing-topics trigger probably will not apply to a query like "best roofer near me." But the Preferred Sources feature is worth understanding: users can designate trusted publications or websites, and those sources get highlighted whenever they are cited inside AI answers. Asking existing customers to add your blog or website to their Preferred Sources is now a legitimate visibility strategy, not a gimmick.
Search Console also gained new AI visibility controls in July — tools that let site owners see where their content is being cited inside AI features and toggle how it appears. If you are not checking Search Console's AI Performance report monthly, you are flying blind on what is now the dominant surface of local search.
The broader July pattern, as summarized by Numinix's monthly SEO recap: "AI Overviews picked up a live news carousel, AI-generated images, and new citation displays, while Search Console quietly gained the tools site owners have been asking for to control how their content shows up inside AI features." There was no broad core update in July. A broad core update is likely in August or September based on Google's 2026 cadence — which means right now is the window to get your content and profile data in shape before that hits.
The SOCi Local Visibility Index broke down AI visibility by industry, and the findings are not uniform. The "Local Services" category — which covers home services like plumbing, HVAC, electrical, and landscaping — faces some of the steepest challenges, for a simple reason: local service businesses tend to have thin websites, inconsistent NAP (Name, Address, Phone) data across directories, and low review volume relative to retail or food brands.
Key patterns from the 2026 data that apply directly to service businesses:
For healthcare (dentists, med spas, physical therapists) and legal (attorneys, financial advisors), there is an additional layer: HIPAA and bar association rules often restrict what you can publish. But those restrictions do not prevent you from publishing general cost explainers, FAQ content, or detailed service descriptions — all of which are exactly what AI Overviews pull from.
You have a narrow window before a probable August or September Google core update. Use it.
1. Audit your NAP data across all platforms (30 minutes). Check your business name, address, phone number, and hours on Google Business Profile, Yelp, Apple Maps, Bing Places, Facebook, and any industry-specific directories. Every field should be identical across all platforms. One mismatch is enough to undermine AI confidence in your data.
2. Check your star rating and your review response rate. Pull your last 90 days of reviews on Google and Yelp. Are you averaging above 4.0? Are you responding to reviews — especially negative ones — within 48 hours? If your response rate is below 50%, fix that before anything else. SOCi's data shows AI recommends businesses averaging 4.2 to 4.3 stars with active engagement. Review response rate is now a visibility signal, not just a reputation nicety.
3. Build one cost or pricing guide this week. Pick your most-searched service. Write a 600-800 word page that honestly explains what factors affect the price of that service in your city. Use real ranges. Answer the question a customer would ask an AI. This is your single highest-leverage content move right now.
4. Open Search Console and pull the AI Performance report. Look at which queries are triggering AI Overview appearances for your site, and whether you are getting citations. If you have never looked at this report, treat this week as your baseline — you cannot improve what you have not measured.
5. Check your Yelp and Facebook profile completeness. Gemini pulls from Google Maps (which is why it has 100% data accuracy), but ChatGPT and Perplexity pull from a wider range of sources, including Yelp. A neglected Yelp profile is a direct liability for your ChatGPT visibility.
These five steps take less than three hours total. The businesses that do them before the next core update drops will be in better shape. The businesses that wait will spend the fall trying to recover.
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Does ranking in Google's local pack mean I'll also show up in AI Overviews?
Not anymore. SOCi's 2026 Local Visibility Index found that fewer than half of the brands leading in traditional local search also appear in AI recommendations. In retail specifically, the overlap is only 45%. Google's local pack and AI Overviews use different signals — proximity matters more for the pack, while data accuracy, star ratings, and cross-platform consistency matter more for AI recommendations.
Why does ChatGPT only recommend 1.2% of business locations?
ChatGPT is far more selective than Google because it is not ranking a list — it is making a single recommendation. It needs high confidence in the accuracy and quality of a business before it will name it. The 1.2% figure comes from SOCi's analysis of 350,000 business locations. Businesses with incomplete data, inconsistent profiles across directories, low star ratings, or low review engagement are effectively invisible to ChatGPT.
What star rating do I need to be recommended by AI platforms?
According to SOCi's research, locations recommended by ChatGPT average 4.3 stars. Businesses averaging near 3.4 stars with review response rates below 5% were not just ranked lower — they were excluded entirely from AI recommendations. A rating above 4.0 with an active review response habit is the baseline you need.
How do price and cost pages help with AI Overviews?
Queries containing "price," "cost," or "how much" trigger AI Overviews more than 80% of the time, according to Search Engine Journal's July 2026 analysis. If your website has no pricing content, the AI has nothing to cite for those high-intent queries, and a competitor who does publish pricing information gets the citation. You do not need a fixed price sheet — a well-written cost explainer that covers the factors affecting price in your market is enough.
Is a broad Google core update coming soon, and should I wait for it before making changes?
Do not wait. Google's 2026 pattern has been two confirmed core updates — one in March and one in May — and analysts including Numinix and b2the7 expect the next one in August or September. Core updates reward content and profiles that were already in good shape before the update ran. Making changes after a core update gives you the best-case scenario of recovering in the following update cycle — which could be three to four months away.
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