Local businesses rank on Google Maps but vanish from AI answers

By Gavin O'Malley · 2026-07-26

What the Whitespark numbers show

Your Google Business Profile ranking used to be the scoreboard that mattered. That scoreboard now has a rival, and it is winning by a wide margin. Whitespark research published in May 2025 found Google AI Overviews appeared in an average of 68% of local business-type queries, compared with just 39% for the traditional local packverifiedVerified Source: whitespark.ca, a 29-point gap that represents a structural reshaping of local search, not a rounding error.^[1]

Whitespark's study covered Houston, Phoenix and Denver across a range of service-based business categories. Local SEO consultant Miriam Ellis, who led the analysis, said: "On average, AI Overviews are currently appearing in 68% of local business-type queries."verifiedVerified Source: whitespark.ca^[1] The traditional local pack, the familiar three-business map cluster that dominated local results for years, turned up in fewer than four searches in ten across the same query set.

The breakdown by query type is instructive. For plumber searches in Houston, AI Overviews cited third-party publishers 60% of the time and individual local businesses 40% of the time.^[1] That split tells you the AI is not simply mirroring the local pack. It is drawing on a different, broader pool of signals to decide who gets named.

Why local pack rankings no longer guarantee AI visibility

The uncomfortable reality for businesses that have invested heavily in local SEO is that their map pack position counts for less than it once did. Adam Heitzman, Managing Partner at HigherVisibility, said: "Working across 15+ client markets at our agency, spanning home services, legal, fitness, healthcare, and financial verticals, we're seeing businesses rank well in the traditional local pack while being completely invisible in AI-generated answers for the exact same queries."verifiedVerified Source: searchenginejournal.com^[2]

A business that spent years accumulating reviews and citations to secure a top-three map placement may now be missing entirely from the answer a potential customer actually reads. The AI Overview sits above organic results and above the local pack, capturing attention before either placement gets a look.

Google AI Overviews generate concise answer summaries that synthesise information from multiple sources with citations. The system is not selecting winners from the local pack. It is making independent judgements about which businesses provide the most verifiable, fact-dense information on the web.^[1]

How Google AI Overviews decide which businesses to cite

Consistent business name, address, phone number and category data across every directory and Google Business Profile raises AI confidence and citation probability, according to HigherVisibility's analysis across its client base.^[2] The AI runs what amounts to a verification check. When data across multiple sources aligns, it becomes more willing to name that business as an answer.

Reviews matter here too, but not simply as a count. The AI appears to weigh verifiable, specific review content that references services, locations and outcomes. Generic five-star ratings with no text provide less of the fact density the system needs to confidently cite a business.

Third-party publishers getting cited 60% of the time in plumber searches is also a signal. Local service directories, trade publications and comparison sites are capturing AI citations that local businesses themselves are missing. Businesses that earn mentions on those third-party platforms gain an indirect route into AI answers even when their own website is not cited directly.^[1]

What businesses need to change on their websites and profiles

The practical response starts with the website, specifically the location page. HigherVisibility's guidance points to pages that include business name, address and phone number, service-area coverage and trading hours in table format, alongside market-specific FAQs and structured data grids.^[2] The goal is fact density: giving an AI system enough discrete, verifiable data points on a single page that it can confidently attribute a business to a specific place and service.

Using three distinct local major images per location page enhances geographic legitimacy signals for AI verification, a specific recommendation from HigherVisibility based on its multi-market client work.^[2] Geographic context embedded in images and captions adds one more layer of corroborating evidence for systems trained on the whole web.

Google Business Profile accuracy remains foundational. Any mismatch between the name, address or phone number on the profile and what appears on the website or in third-party directories introduces doubt, and doubt translates directly to being left out of the answer.

What this means for Australian small businesses

Australian small businesses face the same structural shift whether they are in Brisbane or Ballarat. The query types most affected are precisely the ones that drive foot traffic and phone calls: plumbers, electricians, physios, accountants, solicitors. These are searches where someone has a need and wants an answer in the next few minutes, which is exactly where AI Overviews now dominate.

The local pack is not disappearing. Whitespark's data shows it still appears in 39% of queries, and that remains meaningful.^[1] Treating a strong map ranking as a complete local search strategy is no longer defensible when AI Overviews appear in nearly twice as many searches. Businesses that adapt earliest, building out structured location pages and tightening citation consistency, will secure the compounding advantage of being cited by the AI while competitors are still wondering why their calls dropped.

Whitespark's research was published on 12 May 2025, covering queries across Houston, Phoenix and Denver.

Gavin O'Malley

Gavin O'Malley covers property and housing for Bushletter. He writes from the ground level, sceptical of spin and focused on what buyers and builders actually face.