AI Overviews Now Answer Most Local Searches – How To Get Your Business Cited via @sejournal, @AdamHeitzman
Rundown Which AI Platform Wins in Your Clients' Verticals? ChatGPT, Perplexity, Claude, Gemini. Conversion leadership splits by industry. 20M data points, 20 GBP tactics. Guide 6 Ways To Prepare Your Business For AI In 2026 A practical checklist for using AI where it produces measurable pipeline and revenue impact in 2026. Rundown Why AI volume alone can't deliver personalization Your content architecture may be the real bottleneck. Get the Rundown on what needs to change in your content ops. Guide Local Google Visibility Guide + Cheat Sheet Track how your business appears across Google Search, Maps, and Gemini. Listings, reviews, and competitor signals all in one view. Webinar New AI Search & SEO KPIs: 4 Real Signals AI mentions and citations are benchmarks, not decisions. Get 4 traffic-predictive signals drawn from real bot data across hundreds of sites. AI Overviews now appear in 68% of local searches vs. 39% for local packs. Here's how to rebuild location pages so AI systems actually cite your business. VIP CONTRIBUTOR Adam Heitzman July 22, 2026 ⋅ 10 min read VIP CONTRIBUTOR Adam Heitzman Managing Partner at HigherVisibility Bio Follow 2.1K READS If your local search traffic has felt off lately, you’re not imagining it. Fewer clicks. Fewer calls. Customers finding answers and moving on without ever hitting your site. That’s not a seasonal dip or a technical issue. That’s AI Overviews doing exactly what Google designed them to do. Local SEO used to be predictable. Optimize your Google Business Profile, build citations, stack localized keywords, and protect your Map Pack spot. That system worked for years. In 2026, it’s not enough. Working across 15+ client markets at our agency, spanning home services, legal, fitness, healthcare, and financial verticals, we’re seeing businesses rank well in the traditional local pack while being completely invisible in AI-generated answers for the exact same queries. Those two things used to be the same game. They’re not anymore. Here’s what you actually need to know to stay visible. A Whitespark study shows AI Overviews appear for 68% of local searches. Local packs? Only 39% of the same queries. That’s a 29-point gap where your customers are getting answers without ever seeing the map results you’ve worked to rank in. Some AI Overviews include a mini local pack. Others surface a fully synthesized answer with supporting links but no map at all. Either way, Google controls the user experience, not you. And if you’re only measuring traditional local rankings, you have a serious blind spot. Google itself has been clear that AI visibility hinges on content people actually want to read, not just content that ranks. The gap plays out differently by query type. Simple transactional searches like “tacos San Francisco” still default heavily to the local pack. Screenshot from search for [tacos San Francisco], Google, July 2026But informational queries like [how long does an eye exam take near me] trigger AI Overviews 92% of the time (according to Whitespark). Screenshot from search for [how long does an eye exam take near me], Google, July 2026Hybrid intent searches like [average cost of dental implants in Phoenix] hit 97% (according to Whitespark). Screenshot from search for [average cost of dental implants in Phoenix], Google, July 2026If your business answers questions rather than just fulfilling immediate transactions, you are almost entirely living in AI Overview territory now. Vertical matters too. Legal searches see AI Overviews everywhere, regardless of geography. Home services are more variable. Restaurants and retail still lean on traditional packs for simple queries. But the key shift is this: Your competitive set just got bigger. You’re no longer just competing with the business down the street. You’re competing with anyone who can answer the user’s question better than you can. LLMs aren’t reading your pages the way a human skims a website. They’re looking for fact density. Structured, specific, directly useful information that answers real questions without requiring interpretation. A 200-word page that says you “serve Nashville with pride” and repeats your service list gives the AI nothing to work with. What AI actually needs from a location page comes down to three things: information architecture, geographic legitimacy, and entity consistency. Here’s how each one works. Start with the structural foundation. Every location page needs: Tables and FAQ schema matter here. Large language models are pattern-recognition systems. Structured formats give AI discrete, labeled data points it can extract with confidence, rather than requiring it to interpret meaning from paragraphs. Kevin Indig’s analysis of 1.2 million ChatGPT responses found that cited passages skew heavily toward definitive, entity-rich statements, which is exactly what a well-built table delivers. A page that tells people which pests are common in the Austin summer heat, your average response time, and what the process looks like from first call to completion is the page that gets pulled into the Overview. Worth noting: Publishing more content without improving structure actively works against you in an AI retrieval environment. Semantic precision matters more than volume. Google’s vision AI analyzes photos to verify geographic legitimacy. If your location page uses generic stock images of smiling professionals in a nondescript office, the AI reads that as low-context boilerplate. It doesn’t know where you are. And when it doesn’t know where you are, it finds someone else to cite. The fix is intentional local imagery. I got this concept from Steve Toth, and the results have been promising. Try using this approach: three landmark images per location page, sourced from Google Images using Creative Commons filters. Three or more images are more intentional than just one. When your alt text says “Navy Pier at dusk,” the filename is “navy-pier-chicago-lakefront.jpg,” the surrounding copy references serving Chicago residents, and your quick-facts section lists Illinois-specific regulations, you’ve built a page that reads as local because it actually is. Structure each location page hero with: a primary image of an iconic, instantly recognizable landmark; a secondary image showing people in the area with a landmark visible in the background; and a full-width feature shot of a third local landmark or skyline. A Chicago page gets the Bean, Willis Tower, and Navy Pier. A Denver page gets Red Rocks, the 16th Street Mall, and the Capitol building. Three signals at the image level, before AI even reads a word of your copy. The third pillar is one that most businesses underestimate. AI systems don’t just read your location page in isolation; they cross-reference it against everything else they can find about your business. If your NAP is inconsistent across directories, your hours are outdated on Apple Maps, or your service categories don’t match between Google Business Profile and your website, the AI’s confidence in your entity drops. And lower confidence means lower citation probability. Make sure your business name, address, phone number, service categories, and business description are identical everywhere they appear. Yelp, Google, Bing, Apple Maps, industry-specific directories – every node in your digital presence needs to say the same thing. Audit these quarterly. It takes less time than you think and pays off in citation consistency across every AI platform pulling your data. Alongside your location pages, one of the highest-leverage content investments you can make right now is building out dedicated cost and pricing guides, one for each core service or location you target. Here’s why: “price, cost, and buy” queries trigger AI Overviews more than 80% of the time, and most local businesses refuse to answer them. Screenshot from search for [how much is an ac unit in memphis], Google, July 2026The fear is understandable. Publishing pricing feels like giving competitors ammunition or locking yourself into a number. But if you don’t answer the “how much does this cost” question, AI will find someone who does. That someone gets the citation, the traffic, and the call. You don’t have to publish fixed rates. Give realistic ranges (“basic lawn care packages typically run $80 to $150 per month, depending on lot size and frequency”) and then explain the variables that drive the price up or down. Square footage? Materials? Urgency? Regional permit requirements? That structure gives AI exactly what it needs: a factual, organized resource it can confidently cite for cost-intent queries. Use natural phrasing throughout. Tools like AnswerThePublic or Google’s People Also Ask surface the conversational, imperfect ways real people search. “How much to fix a leaky faucet?” sounds different from “leaky faucet repair cost.” Optimize for how people actually talk, not how marketers write. Getting your location pages right is the foundation. But it’s only half the battle. The other half happens entirely off your website. Omniscient Digital’s research analyzing 23,000+ citations found that owned content accounts for only about 23% of citations in branded queries. The other 77% comes from off-page sources. That means even a perfectly built location page isn’t enough on its own. You need a broader content environment that feeds AI systems with citations, context, and credibility. Don’t bury your helpful content in a blog. Embed FAQ sections, cost breakdowns, and short how-to guides directly on your service pages. Kevin Indig’s analysis of 1.2 million ChatGPT responses found that 44.2% of citations come from the first 30% of page content. Getting a concise, direct answer above the fold on your key pages isn’t just good UX; it’s increasingly what determines whether AI can extract and cite you. When AI systems scan 15 different directories and find conflicting NAP information, they lose confidence in your entity. When all 15 say the same thing, you read it as verified and stable. Audit your listings quarterly. It’s one of the most consistently overlooked citation levers we see across our client accounts.
Source: Search Engine Journal
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