92% of US local search still runs through Google, but the remaining share is splitting across AI tools faster than most local businesses have noticed.
92% of US local search still runs through Google. 84% of Google Maps visits come from keyword searches, not people already looking for a business by name. And a growing, currently smaller but steadily climbing share of local discovery is now happening entirely outside Google, inside ChatGPT, Gemini, and Perplexity conversations that never touch a traditional search results page at all.
Google doesn't own local search the way it did even two years ago, not because its dominant share has collapsed, it hasn't, but because a meaningful and growing slice of local discovery now happens through AI tools that synthesize an answer directly instead of returning a ranked list of links. A business optimized purely for traditional Google Maps ranking is optimizing for most of the picture, but no longer the whole picture.
Here's what that actually means in practice, and why it doesn't require throwing out everything you already know about local SEO.
The shift toward AI-assisted local search is happening gradually, not as a sudden replacement of Google Maps, but as an increasing share of specific, conversational local questions, "which dentist near me is good with kids," "what's a good Italian place with outdoor seating", moving to AI tools that give a direct answer instead of a list of results to click through and compare manually.
This matters most for higher-consideration searches, where a searcher wants a synthesized recommendation rather than ten links to evaluate themselves. A quick "gas station near me" search stays firmly in Google Maps territory. A more nuanced "which local dentist is good with anxious patients" is exactly the kind of question increasingly asked directly to an AI tool instead.
⚠️ Common Mistake: Assuming this shift is either irrelevant because Google still dominates, or an urgent crisis requiring an entirely new strategy. Neither framing is accurate. It's a gradual, steady shift worth tracking and adapting to incrementally.
Action Step: Think about the last local search question you personally asked an AI tool instead of Googling directly. If you can think of one, your customers likely can too.
The good news for local businesses is that the signals driving AI-assisted local visibility overlap heavily with traditional local SEO fundamentals: review volume, review specificity, consistent business information, and clear website content all feed both systems, just weighted somewhat differently. This means most of the work already done for traditional local SEO isn't wasted, it's foundational for AI visibility too.
The gap tends to show up in specificity. AI tools synthesizing an answer need clear, detailed information to draw from, which rewards businesses with genuinely detailed website content and specific review language over businesses relying purely on a strong star rating with vague supporting content.
📊 Flento Data: Across AI search visibility checks Flento has run, businesses with detailed, specific website content and review language appeared in AI-generated local answers meaningfully more often than businesses with similar traditional rankings but more generic supporting content.
The practical change isn't a new strategy, it's tightening the specificity of content you're likely already producing: clearer service descriptions, more detailed review prompts, and website copy that answers specific questions directly rather than describing services generically. This is a refinement of existing local SEO work, not a parallel track requiring separate effort.
A business description that says "full-service local care" gives an AI tool nothing specific to match against a specific customer question. The same business describing "same-day emergency repairs" and "free estimates within 24 hours" gives both traditional search and AI tools something concrete to work with.
💡 Pro Tip: Rewrite one vague section of your website or GBP description this week to be more specific and concrete. This single change feeds traditional SEO and AI visibility simultaneously.
Tracking AI search visibility alongside traditional rankings doesn't require a completely separate monitoring process, it requires periodically querying AI tools with realistic customer phrasing the same way you'd check a traditional ranking, and treating any gaps as data points feeding the same content and profile improvements you're already making.
This isn't a call to panic-optimize for an entirely new channel. It's a call to check where you currently stand, since most businesses haven't looked at all, and treat what you find as one more input into the local SEO work already underway.
🔥 Quick Win: Query an AI tool with a realistic local search question for your business type and city today. Whatever you find, that's a useful, low-effort data point you didn't have yesterday.
AI Local SEO Software monitors visibility across AI search tools alongside traditional rankings in one place, and Local Keyword Rank Tracker keeps the traditional Google Maps side of the picture current at the same time, so neither channel gets neglected while tracking the other.
Google still dominates local search overall, and traditional optimization still matters most. The businesses staying ahead are simply the ones who've started checking the growing edge of the picture too, rather than assuming it doesn't apply to them yet.
If you've never checked your AI search visibility, try Flento free → and see where you currently stand across both.
✅ Done? Monitor your visibility across both Google and AI search in one place → Try Flento free
Does Google still dominate local search overall? Yes, with roughly 92% of US local search still running through Google. The shift toward AI tools is real but gradual, representing a growing slice of the picture rather than a wholesale replacement.
Do I need a completely different strategy for AI search visibility? No. The underlying signals, reviews, consistent business information, specific content, overlap heavily with traditional local SEO. The main adjustment is tightening specificity in existing content.
What kind of local searches are most likely to shift toward AI tools? Higher-consideration, more conversational questions, comparing which local business is good for a specific need, tend to shift toward AI tools more than quick, simple searches like finding the nearest gas station.
How can I check if my business appears in AI-generated local search answers? Query AI tools like ChatGPT, Gemini, and Perplexity directly with realistic customer phrasing for your business type and location, and note whether and how your business gets mentioned.
Should I stop focusing on traditional Google Maps optimization to prioritize AI search? No. Traditional optimization should remain the primary focus, since Google still represents the large majority of local search. AI visibility is a valuable addition, not a replacement priority.
Google hasn't lost its grip on local search, but it's no longer the entire picture, and the share happening elsewhere is only growing. The fix isn't a new strategy. It's tightening the specificity of the work you're already doing, and checking a channel most businesses haven't looked at yet.
The future of local search: trends to watch covers this shift in more depth, and voice search optimization for local businesses for a related, earlier version of the same underlying trend. Read how to track local SEO rankings to monitor both channels, and start with what local SEO is for the fundamentals.
