[The Engines]
What New SEO Tactics Are Needed for AI-Driven Local Search?
AI Overviews now appear in 68% of local searches, more than the local map pack. Here is what changed, who it hits hardest, and the local SEO tactics that earn a citation instead of getting buried.
The short answer
AI Overviews now surface in 68% of local searches, ahead of the traditional local three-pack, according to Whitespark's analysis of local business queries. The shift is driven by intent: simple 'near me' searches still favor the map pack, while question-style local searches like 'how much does X cost in city]' trigger AI Overviews 92% to 97% of the time. The response is not a trick, it is fact-dense, entity-consistent local content built for [Generative Engine Optimization, not just the map pack.
What changed in local search?
AI Overviews now outrank the local three-pack on the majority of local searches. That is the headline finding from Whitespark's analysis of local business queries, published May 12, 2025, and reconfirmed by Search Engine Journal in a July 22, 2026 update: AI Overviews now show up on 68% of local searches, compared with 39% for the traditional local pack, a 29-point gap in favor of the AI answer.
The change is not uniform. Whitespark broke the data down by query intent and found a sharp split. Simple local intent searches like 'tacos san francisco' still favor the map pack: it appears for 93% of those queries versus 15% for AI Overviews. Flip to an informational-intent query like 'how long does an eye exam take near me' and the numbers invert: AI Overviews show up 92% of the time, the local pack only 6%. Hybrid queries, the ones that mix a question with a location, such as 'average cost of dental implants in Phoenix,' trigger AI Overviews 97% of the time.
That inversion is the actual change. Google is not replacing the map pack outright. It is routing an entire category of local queries, the ones that ask a question rather than name a place, straight into an AI-generated answer. A business that only shows up in the map pack is covering the 15% to 39% of local search that still looks the way it did a few years ago. The rest goes to whichever business the AI decided to cite.
Who does this shift affect the most?
It hits local and multi-location service businesses hardest: healthcare, legal, home services, and anywhere a buyer researches before they call. It barely touches simple wayfinding searches for a specific place by name.
Whitespark's data shows the effect tracks industry, not geography. An attorney-related search returns roughly the same degree of AI Overview prominence whether the searcher is in San Francisco, Seattle, or New York. That matters for strategy: this is not a shift a business can wait out by operating in a smaller market. If a category regularly answers cost, comparison, or 'best X' questions, AI Overviews are already the default result for a meaningful share of prospects, regardless of where they are searching from.
This lines up with what Omnicite hears directly from local and service businesses: not knowing whether the AI a prospect just asked recommended them or a competitor for 'best [service] in [city].' The map pack answer to that question was always visible. The AI Overview answer is not, unless a business is the one it cites.
- 'How much does [service] cost in [city]' pricing and cost queries
- 'How long does [service] take' duration and process questions
- 'Best [service] near me' comparison-style questions
- '[Service A] vs [service B] in [city]' local comparison queries
| Query intent | Example query | Local pack presence | AI Overview presence |
|---|---|---|---|
| Simple local intent | 'tacos san francisco' | 93% | 15% |
| Informational intent | 'how long does an eye exam take near me' | 6% | 92% |
| Hybrid intent | 'average cost of dental implants in Phoenix' | 17% | 97% |
| Overall average | All local business queries | 39% | 68% |
How should you respond right now?
Stop optimizing for the map pack alone. The map pack is still worth holding, but it now covers a shrinking share of local intent. The larger opportunity is being the source an AI Overview cites when it answers the question behind the search.
That means building the kind of page an AI model can quote directly: fact-dense, specific, and structured around the exact question a buyer is asking, not a generic services page. Search Engine Journal's July 2026 recommendations line up with standard Generative Engine Optimization practice: consistent business entity data everywhere it appears, location pages built around real questions and real pricing, and cost or comparison content addressed head-on rather than buried in a paragraph.
This is not a ranking trick, and it is not about gaming a model. It is coverage and specificity at a scale most in-house teams cannot sustain on their own. LeadHaste, the operation Omnicite is built inside of, went from 0 to 1 million impressions and more than 200 AI citations in four months, with Domain Rating moving from 1 to 24 over the same stretch. The specific numbers matter less than the pattern: the businesses winning AI Overview citations right now are the ones publishing enough real, specific, well-sourced content to be the obvious answer.
What belongs on an AI-ready location page?
An AI-ready location page answers the questions a buyer would otherwise put to ChatGPT or Google AI Mode directly, in language specific enough to quote.
Entity consistency matters more than it used to. AI systems cross-reference business details across sources before deciding whether to cite a business. A phone number that does not match between a website and a Google Business Profile is not a minor inconsistency, it is a reason for the model to cite someone else instead. Reporting on this shift has also noted that vision models now evaluate location photos for geographic authenticity, so generic stock imagery does less work than a real storefront or job-site photo with a descriptive filename.
- Business name, address, phone, and service area, matched exactly across the website, Google Business Profile, and directories
- Hours and booking specifics, not just 'call for details'
- A location-specific FAQ answering the actual questions buyers ask about cost, duration, and availability
- A pricing or cost table with real ranges, since cost and 'buy' queries trigger AI Overviews more than almost any other local intent
- Testimonials and project examples tied to the specific location, not generic company-wide quotes
- Structured data marking up the business, FAQ, and service details
Where does this trend go next?
Expect the split to widen, not narrow. Whitespark's data already shows AI Overviews dominating informational and hybrid local intent while leaving simple navigational searches to the map pack. As AI Overviews and AI Mode expand their coverage of local questions, the categories most affected today, healthcare, legal, and home services, are the likeliest to see that share climb further.
Rankings got you found. Citations get you chosen. A business can hold page one of Google and still lose the sale because the AI Overview answering the buyer's real question cited a competitor instead. Tracking Citation Share, the percentage of relevant AI answers in a category that cite a given business, is becoming as important to local businesses as local pack position used to be. The businesses treating that number seriously now are the ones building the lead.
Source: Whitespark, 2025-05-12
Key takeaways
- AI Overviews now appear in 68% of local searches versus 39% for the map pack (Whitespark, May 2025).
- The split follows intent: simple local searches still favor the map pack, while informational and hybrid local searches favor AI Overviews 92% to 97% of the time.
- Industry matters more than geography. The same category sees similar AI Overview prominence across different cities.
- Winning the citation means fact-dense, entity-consistent location pages built around real questions, not generic service pages.
- Cost and pricing content is high leverage, since 'how much' and 'buy' queries trigger AI Overviews more than most other local intent.
- Tracking Citation Share, not just map pack rank, is becoming a more accurate measure of local visibility.
Omnicite Editorial. "New Local SEO Tactics for AI Overview Search" The Citation Report, Omnicite. https://omnicite.co/blog/what-new-seo-tactics-are-needed-for-ai-driven-lo/
Sources
AI Overviews appear in 68% of local searches versus 39% for the local pack, with informational and hybrid queries triggering AI Overviews 92% to 97% of the time Whitespark, 2025-05-12
AI Overviews now answer most local searches; businesses should build fact-dense location pages, maintain entity consistency, and address cost and pricing queries directly to earn citations Search Engine Journal, 2026-07-22
Local SEO strategy now requires fact-dense, well-structured content and geographically authentic imagery to compete for citations in AI Overview results RabbitRank, 2026-07-22
Frequently asked questions
What are AI Overviews and how are they different from the local pack?
AI Overviews are Google's AI-generated answer summaries that appear above traditional results, including the local three-pack. Where the local pack shows a map and three business listings, an AI Overview answers the question directly and cites the sources it drew from, which may or may not include a given business.
Why do AI Overviews appear more for some local searches than others?
Whitespark's research found the split follows query intent. Simple searches paired with a location name, like 'tacos san francisco,' still trigger the local pack more often. Searches that ask a question with a location attached, like 'how much does X cost in [city],' trigger AI Overviews 92% to 97% of the time.
Does this mean local pack SEO does not matter anymore?
No. The local pack still appears for most simple navigational local searches. But it now covers a shrinking share of local intent overall, so treating it as the whole strategy leaves the faster-growing share of local search, the AI Overview share, uncovered.
What is the fastest way to start earning citations in local AI Overviews?
Start with the queries most likely to trigger an AI Overview: cost, duration, and comparison questions. Build a page that answers each one directly, with real pricing ranges and specific details, and make sure business details match exactly across the website, Google Business Profile, and directories.
How do I know if AI Overviews are already citing competitors instead of me?
Search the highest-intent local questions directly in Google, ChatGPT, and Perplexity and read who gets cited. Doing that consistently across a category is what Citation Share tracking is built to measure at scale.
Is this shift specific to Google, or do other AI engines show the same pattern?
The Whitespark data is specific to Google AI Overviews, but the underlying behavior, favoring fact-dense, specific, well-sourced content for question-style local queries, holds across ChatGPT, Perplexity, and Gemini as well.