Business
AI Hasn’t Cracked Local Search Yet. Here’s Why That’s an Opportunity for Local Businesses
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Published 10/23/2026 4:00:00 PM
Why Local SEO Still Wins
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Key Takeaways
- AI Overviews have transformed informational search, but traditional local-service searches remain heavily dominated by Google’s Local Pack and Maps results.
- According to Whitespark’s research into AI Overviews and local search, AI Overviews appeared on just 15% of traditional local-intent queries, compared with Local Packs appearing on 93%.
- For service businesses, ranking still matters because consumers searching for a nearby provider often need a business, not an AI-generated answer.
- Google Business Profiles may also provide useful information to the broader AI search ecosystem, making strong local SEO an investment in both traditional and AI visibility.
There’s a growing narrative in marketing that traditional search matters less every year. AI Overviews answer questions directly in Google, ChatGPT and Claude recommend businesses, and consumers discover companies on social media and other platforms.
All of that is true. But after a decade in local SEO, I’m still focused heavily on one decidedly traditional strategy: scaling Google Business Profiles and physical locations for local businesses.
The reason is simple: AI has disrupted informational search far more than the search for a local service provider. A person searching “roofing companies near me” or “personal injury lawyer St. Louis” isn’t looking for an explanation. They’re looking for a business. Google still has an extraordinarily effective product for that: Google Maps and the Local Pack.
Local search has resisted AI disruption
Whitespark’s 2026 Local Search Ranking Factors report describes local search as “insulated” from the AI disruption affecting the broader industry. Informational publishers have been hit hard, but local business discovery still happens mostly through Google’s local results.
A separate Whitespark study of AI Overviews in local-business searches shows why. It divided searches into three types of intent:
- Local queries, such as “personal injury lawyers in Phoenix”: AI Overviews appeared 15% of the time, while the Local Pack appeared 93% of the time.
- Informational queries:Whitespark found AI Overviews on 92% of searches and Local Packs on 6%.
- Hybrid queries: AI Overviews appeared 97% of the time, compared with 17% for Local Packs.
“How much does a new roof cost?” and “roofing company near me” may come from the same customer, but Google treats them very differently. That’s why local SEO still matters.
Ranking still matters when the customer needs a business
When someone needs a business, Google still shows the Local 3-Pack, and so do AI Overviews when they appear. That result is built from Google Business Profile data. It gives searchers nearly everything they need to decide, from reviews and hours to photos, services and directions, without a website click. That’s why so many local SEO professionals focus on maximizing Google Business Profile visibility. For single-location businesses, though, that’s usually where the strategy stops.
Location is a distribution strategy
For businesses that can scale, each new location creates another geographic point from which to compete. I’m not only asking how to get a website more leads, but how to expand the footprint from which a company acquires them.
A legitimate new location adds more than an office. It adds another Google Business Profile, another Maps presence, another review profile and another proximity point. For businesses that depend on local demand, a physical location is a customer-acquisition asset as well as an operational decision.
Google’s local algorithm is inherently geographic. Google’s own documentation names relevance, distance and prominence as the primary local ranking factors, and Whitespark’s 2026 Local Search Ranking Factors confirms that proximity remains a major signal for Local Pack and Maps visibility.
A highly authoritative website can still struggle in Maps searches far from its office. Opening legitimate locations closer to where customers search solves a problem that backlinks and content often can’t. For service businesses that cover large areas, like attorneys and home service companies, this approach has worked for years.
AI may make Google Business Profiles more important
AI systems still need real-world information: who you are, what you do and where you do it.
In January 2026, Local Falcon analyzed more than 50 million U.S. Google search results across 1,993 business categories. It observed that AI-generated local recommendations often drew on public information from Google Maps, reviews, ratings and Business Profiles.
That doesn’t mean a profile directly causes an AI recommendation; the relationship is still developing. But it reinforces a larger point. Accurate business data, service pages, strong reviews and third-party citations help wherever a customer finds you. The choice isn’t local SEO versus AI optimization.
Reviews are a conversion layer
According to BrightLocal’s 2026 Local Consumer Review Survey, 97% of consumers read online reviews for local businesses, and 71% use Google for those reviews, more than any other platform.
Reviews also decide whether visibility turns into a customer. Separate BrightLocal consumer-search research published in 2026 found that 65% of consumers who rejected a local business did so for at least one review-related reason, such as negative reviews, low ratings, or too few or outdated reviews.
A business can win the Local Pack impression and still lose the customer to a competitor with a stronger reputation one listing over.
Reviews also have a growing second audience: machines, which use their natural-language detail to understand what a business does.
Prepare for AI without abandoning what works
None of this means ignoring AI search. BrightLocal’s 2026 Local Consumer Review Survey found that use of ChatGPT and other generative AI tools for local recommendations jumped from 6% to 45% in a single year, making AI the third-most-popular source in the survey. Businesses should be thinking about mentions, citations, structured data and how AI represents their brands.
But preparing for where search is going is different from abandoning where customers are today. In March 2026, Local Falcon compared 189,905 ChatGPT results with millions of Google local results for restaurant queries. Local Falcon found that 83% of restaurants were completely invisible in ChatGPT, compared with only 14% in Google.
That study covers only restaurants, but it shows how far apart the two kinds of visibility remain. AI is a new discovery layer, not yet a replacement for the existing ones.
Local SEO is becoming more specialized
The biggest mistake marketers can make in 2026 is treating search as one channel. Informational search is changing fast, but transactional local search works differently because geography changes the answer.
Ask an AI system what compound interest is, and everyone gets essentially the same answer. Ask who should replace your roof, and location, availability, reputation and service area suddenly matter. Those answers require local signals, and Google has spent decades building an ecosystem to organize them. Local Services Ads also draw on Google Business Profile data, which adds another layer of protection.
The best strategy isn’t chasing the channel undergoing the biggest change. It’s finding where customers still show purchase intent and building a defensible presence there. For many local businesses in 2026, that place is still Google Maps. Until consumer behavior says otherwise, I wouldn’t bet against it.
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Effective product pages help online shoppers decide whether an item fits their needs and what buying it involves. A beautiful photograph gets attention. Product details such as dimensions, available sizes, delivery details, and a clear price help turn that attention into a purchase.
Even established retailers miss these basics. In its benchmark of leading U.S. and European retailers, updated in March 2026, Baymard Institute rated 52% of desktop sites and 62% of mobile sites “mediocre or worse” for product-page usability1.
Product-page changes can affect revenue, too. In a 27-day test for Life Pro Fitness, agency Media Contour made product images, key details, and buying buttons visible without needing to scroll. Testing vendor Wingify reported that the revised page generated $0.67 more revenue per visitor than the original2.
If you are building a new store, follow the five tips below as you create your product pages. Have those pages ready before running ads that send shoppers to them.
If you already have an online store, choose one product page to improve. Reference these steps to check whether it answers shoppers’ questions and lets them add the right item to their cart.
1. Answer shoppers’ questions in the product description
Identify the main question a shopper needs answered before buying. Look for questions customers ask repeatedly or misunderstandings behind returns. For a new product, start with fit, compatibility, or what is included. Confirm the answer against your product specifications, then put it near the start of the description.
For example, consider a pet-supply retailer selling a dog harness. Someone choosing their first harness needs measurements and adjustment details to judge the fit. Someone replacing a harness they already own needs to recognize the same model and size. The page should make both tasks straightforward.
Also, use consistent labels and units across similar products to make comparisons easier. Include limitations, such as incompatible models or items sold separately, so shoppers can rule out an unsuitable purchase.
In e-commerce platform BigCommerce, for instance, online sellers can use the product description and custom fields—additional facts such as material or compatibility—to present these details. Preview the product page to check that shoppers can find the information they need.
Then, use those same facts to help shoppers recognize the item in search results. In BigCommerce’s page title field, use the product name and a relevant detail, such as its model or material. Avoid repeating keywords or giving every product the same title.
2. Give every product image a question to answer
Plan your gallery around what someone needs to inspect. Show the whole product, a useful detail, and the product in use. For example, a lighting retailer could photograph a lamp beside a chair to show its scale and how it lights a reading space. A close-up of the switch shows how someone would operate it. Together, these images help shoppers picture using the lamp at home. Keep written dimensions available as well.
The same Baymard overview describes how shoppers use images to judge size and can struggle when photographs lack a familiar reference.
If you sell a bundle, make clear which pictured items are included. For products that need assembly or demonstration, you might even consider creating a short video. Add alt text: a short description of the useful information in an image. Screen-reader software can read that description aloud or present it in braille. Keep essential instructions available as text as well.
BigCommerce supports product images, images for variants such as different colors, and YouTube-hosted product videos. Check that your gallery presents the right item as shoppers change their selection.
3. Make choices, prices, and recurring charges clear
Keep size, color, quantity, and purchase options close to the buying button. Label them plainly, show the current selection, and make unavailable choices recognizable. If the size options fit on the screen, show them as labeled buttons, such as S, M, and L. This lets shoppers see which sizes are available without opening a menu, as the Baymard overview explains.
Place helpful links beside the choice it explains. For the dog harness, for example, consider putting a measurement guide beside the size selector so shoppers can check the fit before choosing. Keep it visible or provide a clearly labeled link that works by touch and keyboard.
In BigCommerce, online sellers can configure choices such as size and color through product variants and options. Then check that the displayed price and availability match the shopper’s selection. For multipacks, show both the pack total and the unit price. Make the full pack price easy to find so shoppers know what they will be charged.
If you offer subscriptions, let shoppers explicitly choose between a one-time purchase and a recurring order. Put the recurring charge, delivery frequency, and change or cancellation terms beside that choice so shoppers can compare the commitments before selecting. Confirm that these terms match how your subscription service works. Select a subscription yourself and verify that checkout shows the plan, price, and frequency you chose.
4. Make sure delivery, returns, and reviews are easy to find
A shopper who needs an item by a particular date wants to know whether it will arrive in time. Show a delivery estimate for their destination. Put a short explanation of shipping and returns near add to cart, with links to the full policies.
Show shipping fees or explain how they will be calculated. Clearly describe return windows, fees, and exclusions that matter for the item. If pickup is offered, distinguish stock at the selected location from stock elsewhere. Avoid presenting an estimate as a confirmed promise.
Also consider making reassurances that are specific to the purchase. Using the dog harness as an example again, you’d want to explain whether a shopper can exchange it if the fit is wrong and which conditions apply. That answers the practical concerns that a badge saying “Shop with Confidence” leaves unresolved. Use only promises your business can honor.
Customer reviews provide another way to assess the product. Show the review rating, text, reviewer’s display name, and date on the relevant product page. If reviews come from another service, name that service. These details help shoppers understand whose experience they are reading and how recent it is.
5. Test the path from product page to cart
Shoppers need to know that the page has registered their choices and whether adding an item succeeded. Open your chosen product page on your phone. If a required option starts unselected, try adding the item before choosing it. The page should tell you what to select or explain why “Add to cart” is unavailable.
If the product has options, choose them, then change one selection. Check that the price, availability, and any option-specific images match. Add the item. While the request is processing, the page should make that clear. Once it succeeds, a confirmation or the cart itself should show what was added. If an error occurs, it should explain how to continue without losing other selections.
From there, make sure to check the item’s quantity, options, and price in the cart. If you chose a size or color, return to the product page and check whether it still shows that selection. These checks help catch a wrong selection or an uncertain result before a shopper encounters it.
Shoppers who cannot use a mouse need to select options and add products using a keyboard. To check that they can, repeat the steps above on a computer without the mouse. Use Tab to move forward between controls and Shift+Tab to move back. A visible outline or other marker should show which control you are about to use. Press Enter to activate links and Enter or Space for buttons. In a drop-down list, such as a size selector, use the arrow keys to move through the options.
Shoppers who need larger text must still be able to read product details and reach Add to cart. Use the browser’s Zoom control to enlarge the page to 200% and try the same steps again. Check for overlapping text or controls that disappear. Across all these checks, record anything that prevents choosing the product, adding it, or correcting a mistake.
Keep improving one page at a time
Clear facts and images help shoppers judge the product; clear choices, terms, and working controls help them act on that decision. Choose one issue from your review to fix first. Give priority to a problem that prevents adding the correct item to the cart. If shoppers can add the correct item, address an unanswered question that could lead someone to buy the wrong product.
Record what you changed and when. If you have sales reports, compare purchases and revenue for the product over equal periods before and after the change. Note any promotions or changes in visitor numbers that could also explain the results. Customer questions, order corrections, and return reasons can help you check whether the same misunderstanding persists.
For more examples, explore BigCommerce’s product-page guide, then apply the same review to the next product page.
1 Product Page UX 2026: 10 Pitfalls and Best Practices (Baymard Institute)
2 Media Contour uses split URL testing to improve the revenue from product pages (Wingify)
