"You can rank first in the map pack and be completely invisible in the AI answer for the same query. That is not a ranking problem. It is a category problem."

There is a number worth sitting with before you read any further. In a study of 540 local queries across six industries and three major US cities, Whitespark found that AI Overviews appeared in an average of 68% of local searches. Local packs appeared in 39%. [1] That is a 29-point gap between the two most important local search surfaces, and almost no local business is optimized for both.

The gap is not a rounding error. It is a structural split in how Google now handles local intent, and it has a direct consequence for every business that has spent the last decade building a local SEO program: you can rank first in the map pack and be completely invisible in the AI answer for the same query. That is not a ranking problem. It is a category problem.

Why the Two Systems Run on Different Signals

Local SEO and local AEO are not the same discipline with different names. They are optimized for different systems that evaluate different signals and produce different outputs.

The local pack is a proximity and relevance engine. Google Business Profile completeness, review volume and recency, citation consistency, and physical proximity to the searcher are the primary inputs. The output is a ranked list of nearby businesses. The optimization target is clear: be close, be complete, be reviewed.

AI Overviews are an authority and informativeness engine. The Whitespark study found that AI Overviews dominate informational and hybrid queries, appearing in 92% of informational searches and 97% of hybrid searches, while local packs appear in only 6% and 17% of those same query types respectively. [1] The AI is not asking which business is closest. It is asking which source is most credible for this question.

This is the structural split. A business that has invested entirely in GBP optimization, citation building, and review management has built a strong local pack presence. But if a potential customer types a hybrid query like 'best dentist for kids in Phoenix' or 'how much does a personal injury lawyer charge in Houston', the AI Overview is the dominant result and the local pack may not appear at all.

The 29-Point Gap in Practice

The Whitespark data breaks down by query intent in a way that makes the strategic implication concrete. For traditional local-intent queries like 'plumbers in Denver', local packs appear 93% of the time and AI Overviews appear only 15% of the time. Local SEO is still the right tool for that query type. But for the informational and hybrid queries that represent a growing share of local search volume, the picture inverts completely.

A BrightLocal survey published in 2026 found that 45% of consumers now use AI tools like ChatGPT, Gemini, or Perplexity for local business recommendations, up from 6% one year earlier. [2] That is not a slow trend. That is a behavioral shift happening faster than most local marketing budgets can respond to.

The OmniEclipse AI Search Visibility Report found that only 11.9% of businesses appear in AI search results, meaning 88% are completely absent from AI-driven discovery. [3] Cross that with the Whitespark finding that AI Overviews appear in 68% of local searches, and the math becomes uncomfortable: most local businesses are invisible in the search surface that now dominates most of the queries their potential customers are running.

What Local AEO Actually Requires

The signals that drive AI Overview inclusion are not the same as the signals that drive local pack rankings. Whitespark's own analysis found that 60% of AI Overview citations in local searches point to third-party publishers, including sites like Yelp, Reddit, HomeGuide, Thumbtack, and Quora. Only 40% cite individual business websites directly. [1] That ratio has a strategic implication: being cited in the right third-party directories and review platforms is not just a citation-building tactic. It is an AI visibility tactic.

The content signals matter too. AI Overviews for hybrid queries are pulling from FAQ content, blog posts, and informational pages that answer the questions customers are actually asking before they decide to buy. A plumbing business that has published a clear, well-structured page answering 'how much does it cost to replace a water heater in Denver' is a candidate for AI Overview inclusion on that query. A business with only a GBP listing and a homepage is not.

The Whitespark AI Mode guide identifies four practical priorities for local businesses: tighten NAP accuracy across all platforms, document customer FAQs in natural conversational language, audit which sources AI Mode cites for your industry and top competitors, and double down on reviews and unstructured citations from blogs, news sites, and community pages. [4] None of those are new tactics in isolation. What is new is the reason for doing them: not to rank in the map pack, but to be cited in the AI answer.

The Measurement Problem

One of the harder aspects of local AEO is that AI Mode results are not consistent across users. Whitespark documented that two people making the same search from the same location can see completely different AI Mode outputs. [4] This makes traditional rank tracking tools inadequate for measuring local AI visibility. You cannot track a single position because there is no single position to track.

The practical response is to shift from position tracking to citation tracking. Run a fixed set of hybrid and informational queries in your category and geography weekly. Note which businesses, which third-party sources, and which content types appear in the AI answers. Track whether your brand, your website, or your third-party listings are cited. That is your local domain territory, and it is the leading indicator that matters.

What to Do This Week

The businesses that will close the 29-point gap are the ones that treat local AEO as a parallel discipline rather than a replacement for local SEO. The map pack is not going away. Local-intent queries still return local packs 93% of the time. But the informational and hybrid queries that precede a purchase decision are increasingly being answered by AI, and those answers are being built from a different set of signals than the ones your current local SEO program is optimizing for.

Run your ten most important local queries this week. For each one, note whether a local pack appears, whether an AI Overview appears, and whether your business is cited in either. The gap between those two counts is your local AEO opportunity. For most local businesses, that gap is larger than they expect.

References

[1] Whitespark, <a href="https://whitespark.ca/blog/case-study-the-prevalence-of-ai-overviews-in-local-search/" target="_blank" rel="noopener noreferrer" class="text-amber-700 underline">New Research: The Prevalence of AI Overviews in Local Search</a>, May 2025.

[2] BrightLocal, <a href="https://www.brightlocal.com/resources/local-seo-statistics/" target="_blank" rel="noopener noreferrer" class="text-amber-700 underline">Local Consumer Review Survey 2026</a>, 2026.

[3] OmniEclipse, <a href="https://omnieclipse.ai/blog/ai-search-visibility-report-2026" target="_blank" rel="noopener noreferrer" class="text-amber-700 underline">The 2026 AI Search Visibility Report: 88% of Businesses Are Invisible</a>, March 2026.

[4] Whitespark, <a href="https://whitespark.ca/guides/whitesparks-guide-to-googles-ai-mode-for-local-businesses/" target="_blank" rel="noopener noreferrer" class="text-amber-700 underline">Whitespark's Guide to Google's AI Mode for Local Businesses</a>, May 2026.

AEO Updates is published by The Prompt Group. Editorial decisions sit with the AEO Updates team, and any commercial relationship that touches a story is labelled on the page.