[The Engines]
What New SEO Tactics Are Needed for AI-Dominated Local Searches?
AI Overviews now outrank the local pack in most local searches, and ranking well in one no longer means you are cited in the other. Here is what changed and how to respond.
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Google's AI Overviews now appear in 68% of local searches versus 39% for the traditional three-pack, and the two surfaces select different businesses: 28.5% of pack-ranked businesses are missing from AI Mode for the same query. Local SEO now means engineering content for citation in both surfaces, not just chasing pack rank.
What Changed in How Google Answers Local Searches?
Google now shows an AI Overview above or instead of the local three-pack for most local searches. Whitespark tested 540 queries across three US cities and six local service categories and found AI Overviews appearing 68% of the time, versus 39% for the traditional local pack (Whitespark, 2025-05-12). Search Engine Journal reported in July 2026 that the gap has held, and RabbitRank's guide to the shift reacted to the same reporting soon after.
The mechanism is different, not just the placement. A local pack pulls three Business Profile listings ranked by proximity, review signals, and profile completeness. An AI Overview does not pull listings at all. It builds an answer first, then decides which sources earn a citation inside that answer. That is a content and authority contest, not a proximity contest.
Why Are AI Overviews Winning So Much of Local Search?
Because most local searches are not pure near-me queries anymore, and AI Overviews dominate almost everything else. Whitespark's intent breakdown found AI Overviews appearing in 92% of informational local queries and 97% of hybrid queries such as pricing and comparison searches, while local packs held onto 93% of pure local-intent, near-me queries (Whitespark, 2025-05-12).
That split explains why a business can dominate 'plumber near me' and still be invisible for 'how much does a water heater replacement cost in [city]', a query type AI Overviews now answer directly, crediting sources inside the answer rather than surfacing a pack.
| Signal | Before: local-pack-first SEO | After: AI Overview era (2025 to 2026 data) | What to do now |
|---|---|---|---|
| Primary ranking surface | Google Business Profile plus the 3-pack, ranked by proximity, reviews, and profile completeness | AI Overview answer box, present in 68% of local queries versus 39% for the pack (Whitespark, 2025-05-12) | Optimize location pages as answer sources, not just profile fields |
| Query types that matter most | Near-me and 'in [city]' searches, where the pack still dominates at 93% presence | Informational and pricing or comparison searches, where AI Overviews dominate at 92% to 97% presence (Whitespark, 2025-05-12) | Publish cost guides, comparisons, and FAQs the model can quote directly |
| Who gets shown | Top 3 pack entries selected by local ranking factors | A separate citation pool: 28.5% of pack-ranked businesses are absent from AI Mode for the same query (Local SEO Data, 2026-06-10) | Track AI Mode and Overview presence separately from pack rank |
| What earns the citation | NAP consistency, review volume, category match | On-page fact density plus off-page corroboration, roughly 77% of citations on branded queries (Search Engine Journal, 2026-07-22) | Build presence on Reddit, YouTube, and directories, not just your own site |
Who Does This Actually Affect?
Every local, multi-location, and service business that has treated local pack rank as the whole game. A June 2026 study from Local SEO Data ran 1,120 queries across 13 US cities and seven service categories, including plumbers, dentists, HVAC companies, chiropractors, lawyers, restaurants, and medical specialists, and found that 28.5% of businesses ranking in the local pack were missing entirely from AI Mode for the identical query (Local SEO Data, 2026-06-10).
In plain terms, more than one in four businesses winning the pack are losing the citation. That is the exact fear AI search creates for local operators: being invisible the moment someone asks AI for the best option nearby instead of typing a search and scanning a map.
Should You Stop Optimizing for the Local Pack?
No. The pack still drives more local clicks, calls, and directions than any single AI surface, and near-me queries still favor it 93% of the time (Whitespark, 2025-05-12). Dropping pack optimization to chase AI Overviews would just trade one blind spot for another.
The right move is additive. Keep the profile signals that win the pack: reviews, category accuracy, and proximity-friendly service area pages. Add the content signals that win AI Overviews: fact density, pricing transparency, and off-page corroboration. Treat them as two scorecards, not one.
What Does the Before and After Look Like?
Before this shift, local SEO was a single race: rank in the pack and the clicks followed. After it, local SEO is two races run on different rules, and the table below lines up what changed against what to do about it.
How Should Local Businesses Respond?
Build location pages that read like answers, not directories. Search Engine Journal's July 2026 coverage pointed to two practical fixes: fact-dense pages carrying NAP details, testimonials, project examples, and pricing in scannable formats, and locally authentic photography Google can use to verify a page is genuinely tied to a place, not templated across markets.
- Expand each location page with NAP data, FAQs, testimonials, and specific pricing, not a generic service description repeated across cities.
- Keep entity data (name, address, phone, categories) identical across Google Business Profile, Yelp, Apple Maps, Bing, and your own site.
- Publish cost and pricing guides that answer the question directly instead of forcing a call for a quote.
- Use real, locally shot photography rather than stock or templated imagery.
- Build off-page presence beyond your own domain: forums like Reddit, YouTube, and industry directories, since off-page sources account for roughly 77% of citations on branded queries (Search Engine Journal, 2026-07-22).
Where Should You Start This Week?
Start by finding out where you already stand in both systems, not just the pack. Run your top 10 to 15 local queries, the near-me terms and the pricing and comparison terms, and note separately whether you appear in the pack, the AI Overview, or both.
Then fix the highest-leverage gap first. If you are strong in the pack but absent from AI Overviews on pricing and comparison queries, that is a content problem: publish the answer pages Google is currently sourcing from someone else. If you are inconsistent across directories, that is an entity problem, and it is cheaper to fix than it looks.
How Does This Fit Into a Longer-Term Citation Strategy?
Local pack rank was never a reliable proxy for AI visibility, and now there is data proving it. The businesses that adapt fastest will be the ones that track citation presence, how often they are actually named across ChatGPT, Perplexity, Gemini, and AI Overviews for their category and city, as its own number, separate from pack position.
That is the same shift B2B categories have already been forced into: rankings got you found, citations get you chosen. For local and service businesses, the data above says that shift has already happened. The only open question is how quickly your location pages catch up.
Source: Whitespark, AI Overview prevalence study, 2025-05-12
Key takeaways
- AI Overviews now appear in 68% of local searches, ahead of the 39% appearance rate for the traditional local pack (Whitespark, 2025-05-12).
- The two surfaces select different businesses: 28.5% of pack-ranked businesses are absent from AI Mode for the same query (Local SEO Data, 2026-06-10).
- Informational and pricing queries trigger AI Overviews 92% to 97% of the time, while near-me queries still favor the local pack 93% of the time.
- Ranking number one in the pack no longer guarantees a citation. The two systems need separate tracking and separate content.
- Fact-dense location pages, consistent entity data, and off-page presence on sites like Reddit and YouTube now do more work than pack rank alone.
- Treat AI citation as its own metric, distinct from local pack position, if you want to know whether you actually show up when someone asks AI for the best option nearby.
Omnicite Editorial. "New Local SEO Tactics for the AI Overview Era" The Citation Report, Omnicite. https://omnicite.co/blog/what-new-seo-tactics-are-needed-for-ai-dominated/
Sources
AI Overviews appear in 68% of local business searches versus 39% for the local pack, with intent-based breakdowns Whitespark, 2025-05-12
AI Overviews now answer most local searches; off-page sources drive roughly 77% of citations on branded queries Search Engine Journal, 2026-07-22
28.5% of businesses ranked in the local pack are missing from Google AI Mode for the identical query Local SEO Data (via PRWeb), 2026-06-10
Reaction guide summarizing the AI Overview local search shift and recommended tactics RabbitRank, 2026-07-22
Frequently asked questions
Do AI Overviews replace the local three-pack?
No, they run as separate systems that can show different businesses for the same query. A June 2026 study found 28.5% of businesses ranked in the local pack were missing from AI Mode for the identical search (Local SEO Data, 2026-06-10).
Why do I rank number one in the local pack but never get mentioned by AI Overviews or ChatGPT?
The pack ranks by proximity, reviews, and profile completeness. AI Overviews build an answer first and then select which sources to credit, which rewards fact-dense content and off-page corroboration more than proximity.
What is the fastest fix for local businesses right now?
Rebuild location pages with real NAP data, FAQs, testimonials, and specific pricing, and make sure your business name, address, and phone number match exactly across Google, Yelp, Apple Maps, and Bing.
Does this AI Overview shift affect all local searches equally?
No. Near-me searches still favor the local pack 93% of the time, while informational and pricing or comparison searches trigger AI Overviews 92% to 97% of the time (Whitespark, 2025-05-12).
Should I stop investing in local pack optimization?
No. The pack still drives more local clicks, calls, and directions than any single AI surface. Keep pack fundamentals in place and add the content and off-page work AI Overviews reward.
How do I know if my business is actually being cited in AI Overviews?
Run your top local queries, both near-me and pricing or comparison terms, and check the AI Overview and the pack separately. Tracking citation presence as its own number is the only way to see the gap the pack rank hides.