GBP Optimization That Survives AI Overviews

Google Business Profile optimization used to have one target: the local pack, the three-listing map box that appears above organic results for "near me" searches. That target still exists, and the classic playbook (complete the profile, keep the reviews coming, match your name-address-phone data everywhere) still wins it. But a second target has opened up next to it, and it does not behave the same way.

AI Overviews, the generated summaries Google now shows above search results, answer a different slice of local queries than the local pack does, and they read different signals to decide who gets named. Optimizing only for the local pack now means quietly losing a growing share of local search to an answer box that never even considers a profile the local pack would have surfaced. Here is what actually changes, backed by the data, and what to do about it.

The local pack and AI Overviews split by query type, not by business

The most useful finding for anyone doing this work comes from a Whitespark case study that ran 540 real queries across three US cities (Houston, Phoenix, Denver) and six local verticals (plumbers, personal injury lawyers, dentists, optometrists, medical clinics, real estate agents), tracking whether each query surfaced a local pack, an AI Overview, or both.

The split was not even close to random:

Query type	Example	AI Overview appears	Local pack appears
Direct local-intent	"plumbers in Phoenix"	15%	93%
Informational	"how much do lawyers charge"	92%	6%
Hybrid	"cost of dental implants in Phoenix"	97%	17%

The pattern is an inverse relationship, not a takeover. When someone searches for a business type plus a place, the local pack still wins almost every time, and a Google Business Profile is still doing the same job it always did: proving relevance, proximity, and prominence to get into that box. But the moment a query turns informational or price-shaped, the kind of question someone asks before they've decided who to call, the AI Overview takes over almost completely and the local pack barely shows up.

That second category is enormous and it is exactly the category most Google Business Profile advice ignores, because it was never a "local pack" problem before. It is one now.

Why the same profile can win one and lose the other

Google's own Business Profile ranking guidance names three factors for the local pack: relevance (how well the profile matches the search), distance (how close the business is to the searcher), and prominence (how well-known the business is, with reviews as one of the strongest signals). None of those three factors require the profile's facts to exist anywhere else. A profile can win purely on being nearby and well-reviewed.

AI Overviews do not have a "distance" input in the same sense, and they are built to answer a question with a synthesized statement, not to rank three nearby options. What they need instead is a fact they can state with confidence, and confidence goes up when the same fact appears in more than one place: the profile, the website's structured data, a review that mentions the specific detail. A business that is the closest plumber in town but has a Google Business Profile with no service-area detail and a website with no matching schema can win the local pack and still be invisible to the AI Overview answering "how much does a plumber cost in Phoenix," because there is nothing on that business specific enough to synthesize into an answer.

This is the actual reason "GBP optimization" and "AI Overview optimization" are not the same task anymore, even though they share a foundation. Prominence, Google's third local pack factor, still leans heavily on reviews, and reviews still matter to an AI Overview too, but they matter for a different reason: not as a popularity score, but as another place the same specific facts (a service, a price range, a turnaround time) can show up in a customer's own words and reinforce what the profile and website already state.

What to do: the profile work that serves both surfaces

Everything here also appears in our broader SEO for Small Business checklist and Local SEO Checklist, because none of it is new. What changes is the priority order once AI Overviews are part of the target.

1. Fill every field, especially the ones AI Overviews can quote. Category, sub-categories, service area, hours, and a description that states specifics (which services, which areas, what makes a booking urgent or seasonal) give an AI Overview an actual fact to lift. A description that just restates the business name and city gives it nothing to work with.
2. Match the profile to LocalBusiness schema on the website. Name, address, phone, hours, and geo-coordinates should be identical in both places. This is the cross-source confirmation that makes a business a safer citation than a competitor whose website and profile disagree or where the website has no structured data at all.
3. Keep reviews recent and answered. Review recency and owner responses are read by both surfaces as evidence the business is active, not just a stored rating. A profile with a high star average and no activity in a year reads as dormant to an algorithm deciding who to trust with a synthesized answer.
4. Write for the pricing and "how" questions directly, not just the service-plus-city query. Since AI Overviews take over almost entirely on informational and hybrid queries, a page or profile update that states a real price range, what determines it, and how the process works is answering the exact query type where the AI Overview is now the only thing showing up.
5. Do not treat AI Overview citation as separate work from the local pack. The same underlying signals (a genuinely complete, consistent, active profile) drive both. There is no shortcut that wins the AI Overview while skipping the fundamentals; there is only doing the fundamentals thoroughly enough to also satisfy the second surface.

Common mistakes that block AI Overview citation even on a "good" profile

A profile can look complete and still fail to get cited, because the mistakes that block AI Overview citation are different from the mistakes that hurt local pack rankings. The five most common:

• A description that names the business but not the specifics. "Family-owned plumbing company serving the Phoenix area since 2010" gives an AI Overview nothing it can quote with confidence on a pricing or "how long does it take" query. A description that states actual services, typical response times, or service-area boundaries gives it something to lift.
• Website schema that doesn't match the profile. A LocalBusiness schema block with an old address, a missing phone field, or hours that disagree with the Google Business Profile is a contradiction, not just a gap, and contradictions are worse than silence when an algorithm is deciding what to trust.
• Reviews with no owner responses. A five-star average with zero replies from the business reads as a listing nobody is actively managing, even though the rating itself looks strong.
• No content anywhere that answers the pricing or process question. If the only place a service and its rough cost are mentioned is a phone conversation with past customers, there is no page or profile field for an AI Overview to draw from, regardless of how good the business actually is.
• Treating the profile as a one-time setup task. Hours, service areas, and offerings change; a profile last touched at signup falls out of date faster than a business expects, and outdated specifics are as unciteable as missing ones.

None of these are expensive to fix. They are mostly the difference between filling a field once and keeping it current, and between writing a generic sentence and writing a specific one.

Why showing up in the AI Overview is worth the effort

It is tempting to write off AI Overviews as a traffic loss and move on, since Seer Interactive's analysis of 3,119 informational queries found organic click-through rate falls 61% on queries where an AI Overview appears. But the same research found that sites actually cited inside the AI Overview see a 35% higher organic click-through rate than average, and a 91% higher paid click-through rate. The click-through collapse happens to everyone who is not cited. It does not happen to the business the AI Overview names.

That is the actual stake behind Google Business Profile optimization on the informational and hybrid queries in the table above: not a smaller local pack listing, but the difference between being the business a synthesized answer names and being one of the many results that answer quietly replaced.

Where this fits into a full GEO check

Google Business Profile signals are one input into a business's broader visibility to AI engines, alongside site structure, schema, and content depth. For a full breakdown of everything checked in that wider evaluation, see What a GEO Audit Actually Checks, or run YaBaDo's free GEO audit to see where a specific business's profile and site currently stand against both the local pack and the AI Overview.