How Do Local SEO Signals Affect Google AI Overviews and ChatGPT Recommendations?
Local SEO signals affect Google AI Overviews and ChatGPT recommendations, but through different routes. For searches with clear local intent, such as "plumber near me", Google mostly shows the local pack. That pack is driven by Business Profile signals, which Google describes as relevance, distance and prominence, and AI Overviews appear less often on such searches. For informational and "cost of" questions with a location attached, AI Overviews appear on most searches. They cite web pages, often third-party ones, so organic content, reviews and citations matter. ChatGPT draws on its search partners, map data and directories, and some of those directories block its crawlers. To be visible across all three, you need a strong Business Profile, useful local content and consistent listings.
What does the data show about local searches?
A Whitespark study published in May 2025 ran 540 searches across six industries in three large US cities, including plumbers, dentists and personal injury lawyers. It sorted them by intent:
| Query type | Example | AI Overview shown | Local pack shown |
|---|---|---|---|
| Local intent | "dentist in Phoenix" | 15% | 93% |
| Informational with a location | "how long does an eye exam take in Phoenix" | 92% | 6% |
| Hybrid | "average cost of dental implants in Phoenix" | 97% | 17% |
Across all queries, AI Overviews appeared on an average of 68% and local packs on 39%. In one set of hybrid plumber searches in Houston, the overviews cited 23 sources. Sixty per cent were third-party sites such as job boards, forums and publishers, and 40% were local businesses' own pages. The study was run from outside the cities searched, which affects local results, so treat the figures as a pattern rather than a benchmark.
Do Google AI Overviews affect local SEO queries and visibility?
Yes, but mostly for the questions around a local purchase rather than the "near me" search itself. People researching a service ask about cost, process, timing and what to look for, and those searches increasingly show an overview first. Your service pages and third-party mentions compete for those citations. The pure "near me" search still leads to the local pack for most queries, where your Business Profile does the work.
Do Google Maps and organic rankings together determine AI visibility?
Together they cover most of it, for Google. Maps and the local pack depend on your Business Profile: category, services, reviews, proximity and consistency. AI Overviews depend on web pages that answer the question, including your own and third-party pages. A business strong in both appears in the local pack for "near me" searches and is cited in overviews for "cost of" and "how to choose" searches. Other assistants add sources beyond Google, as covered in why AI local recommendations differ from map rankings.
How Google AI Overviews affect organic and Maps visibility for local service businesses
Where an overview appears, it sits at the top, and pushes organic results and sometimes the local pack down the page. For informational questions, that means fewer clicks to blog posts and guides. Ahrefs estimated that overviews reduce clicks to the top-ranking page by 58%, using December 2025 data. For local service businesses, the effect depends on the mix of searches. Firms that relied on "cost of" and "how to" content for leads feel it more than firms that win mainly through the local pack. Being cited in the overview recovers some of that visibility, and the searcher often then looks for a local provider.
Does appearing in Google AI Overviews for local searches depend on ranking in the local 3-pack?
Not directly. The local pack is built from Business Profile data. AI Overviews are built from web pages Google retrieves for the question and related searches. A business can be in the pack and absent from the overview, or the reverse. They share underlying strengths: a clear specialism, reviews, local relevance and a reputable site. That is why they often move together, but pack rank is not a prerequisite for citation.
Can Google Search AI Overviews recommend a business that ranks below the local pack?
Yes. Overviews cite pages, not pack positions. A business with a clear page answering the specific question, such as "emergency boiler repair in [town] on weekends", or mentioned in a local guide or directory the overview cites, can appear even if it is not in the top three on the map. Ahrefs' 2026 analysis of AI Overview citations found about 38% came from pages in the top ten organic results. The rest came from pages further down, a reminder that overview sources reach well beyond the top results.
How does ChatGPT use local signals?
ChatGPT's search uses third-party search providers and its own map features. A Mapbox employee has said Mapbox maps help power ChatGPT's search maps, and Mapbox map data draws on OpenStreetMap among other sources. ChatGPT also uses directories and review sites, through crawling and through data deals. Foursquare's robots.txt allows OpenAI's search crawler, and Nextdoor blocks major AI crawlers from business pages. Yelp blocks OpenAI's crawler too, but since July 2026 it has licensed its reviews, ratings, photos and business details to OpenAI for ChatGPT's local recommendations, and BrightLocal's 2026 study found Yelp was ChatGPT's most-cited local source. So keep your listings complete and consistent on the directories that feed ChatGPT, by crawl or by licence, and keep your website clear. How to track local results precisely is covered in whether AI visibility trackers are precise enough for local SEO geo-targeting.
What should a local business optimise?
- Business Profile: primary category, services, hours, photos, and a steady flow of detailed reviews.
- Service pages that answer cost, process and timing questions for your area.
- Local citations: consistent name, address and phone number on the directories and data aggregators that feed maps.
- Map data: check your business on OpenStreetMap-based maps and Apple Maps, not just Google.
- Third-party mentions: local guides, associations and publishers that overviews cite.
How should you measure local AI visibility?
Build a question set with all three intents for each service and area: local intent ("electrician in [town]"), informational ("how long does rewiring take"), and hybrid ("cost to rewire a house in [town]"). For each, record whether a local pack appears and your position in it. Record whether an AI Overview appears and whether you are cited, and what ChatGPT and other assistants say. Run the set from within your area, or with a tracker that sets location precisely, because local results change with location. Review monthly. The split by intent shows whether you need Business Profile work, content work or third-party citations.
What might an illustrative case look like?
Consider an illustrative electrician in a mid-sized city who ranked in the local pack for "electrician near me" but was never mentioned in answers to "how much does it cost to rewire a house in [city]". The overviews for those searches cited a national cost guide, a local trade association page and two competitors' pricing pages. The electrician had no pricing information online. They published a rewiring page with price ranges by house size, a timeline and what affects cost, and joined the local trade association's directory. They also checked their listing on an open map service used by other apps. Two months later, overviews for the cost searches cited their page in about half of checks, and ChatGPT began naming them for rewiring questions in their city.
What do people ask about local SEO and AI answers?
Is the local pack still worth the effort?
Yes. For local-intent searches it still appears on most results and drives calls and visits.
Will AI Overviews replace the local pack?
The study found them mostly on different kinds of queries. Watch both, since Google changes layouts often.
How often should local businesses check AI answers?
Monthly, using the same questions for each service and area.
Published by The Kovmere Team · updated Sep 29, 2026 · More resources