Nobody calls it Google My Business anymore — Google renamed it Google Business Profile back in 2021 — but the search term never caught up with the rebrand, and neither did most business owners' understanding of what the tool actually does now. Google My Business (Google Business Profile) management is the ongoing work of keeping a business's Google listing accurate, complete, and active: categories, hours, services, photos, posts, Q&A, and review responses, all maintained on a schedule rather than set up once and forgotten. That definition hasn't changed. What's changed is what happens to a listing after it's built.

For most of the last decade, a well-managed profile competed for three blue-pin spots in the local map pack. That's still true. But it's no longer the whole game. AI Overviews now appear on roughly half of all Google searches in the US, and for local-intent queries specifically — restaurants, insurance agents, contractors, law firms — the number climbs even higher, with some categories triggering an AI-written summary more than three-quarters of the time. Those summaries don't pull three listings and rank them. They construct an answer and decide, source by source, whose business gets named in it. A profile that's technically "complete" by Google's checklist can still lose that decision if the underlying signals — reviews, categories, freshness — don't hold up under an AI system's question: "Which of these businesses should I actually recommend?"

That's the shift this piece is about. Not a new checklist. A different question being asked of the same data.

What Actually Determines Local Visibility Now?

Whitespark's 2026 local search ranking factors survey, which polls dozens of practitioners annually, puts proximity to the searcher at roughly 55% of ranking outcome and Google Business Profile signals at roughly 32% of the controllable weight. Those two numbers alone account for the overwhelming majority of the reason one business shows up, and a nearly identical competitor three blocks away doesn't. Everything else — backlinks, on-site SEO, citations — fights over what's left.

That's not a new finding. Proximity and profile signals have dominated local ranking for years. What's new is that the same signals now feed two separate systems that used to be one. The map pack ranks listings against each other using those signals directly. AI Overviews and AI Mode, Google has confirmed, draw from the same underlying index rather than some separate "AI-optimized" dataset — there's no special schema or llms.txt file that buys placement in an AI answer. The systems are unified upstream. But downstream, one produces a ranked list, and the other produces a written recommendation, and a profile can perform well in one while getting skipped in the other, because a ranked list tolerates thin signals that a generated summary won't paper over.

How Do AI Overviews Decide Which Businesses to Recommend?

They weigh completeness, review quality, and recency more heavily than a traditional ranking algorithm does, because the output isn't a list a user will scan and judge for themselves — it's a single sentence the AI is putting its own credibility behind. A profile with a generic category, four photos, and reviews that stopped coming in eighteen months ago gives an AI system very little to work with when it's deciding who to name. A profile with a precise category, current service listings, and a steady flow of recent, specific reviews gives it plenty.

Review recency in particular has become its own signal, separate from review volume. A business sitting on 200 reviews from three years ago reads differently to both consumers and AI systems than a business with 60 reviews spread evenly across the last twelve months. Consumer research now shows 41% of people say they "always" read reviews before choosing a local business, up sharply from the year before, and tolerance for stale review profiles has dropped just as fast. AI systems trained on that same behavior weight recency the same way people do.

This is the part that most Google Business Profile managers still get wrong: they treat review collection as a launch task rather than a maintenance rhythm. A business that asks for reviews once, during onboarding, and never again is optimizing for a search environment that stopped existing two years ago.

The Management Tasks That Actually Move the Needle

Skip the generic advice about filling out every field — that's table stakes, not strategy. Here's what separates profiles that get cited from profiles that just exist:

Category precision over category breadth. 

Google's primary category field carries more weight than most owners realize, and choosing the closest match rather than the exact match is a subtle way to lose visibility for the searches that matter most. "Personal Injury Attorney" and "Law Firm" are not interchangeable in Google's system, even though they look the same to a human.

A response to every review, not just the bad ones. 

Responding only when there's a complaint to manage sends a weaker signal than responding consistently, because consistency is what both the algorithm and an AI summarizer read as an active, attended business. NetReputation, for instance, treats review response cadence as a standing operational metric for client accounts rather than a reactive task — checked weekly, not triggered by a crisis — which is the difference between review management and review damage control.

Posts and Q&A kept current, not evergreen. 

A Google Post from fourteen months ago signals inactivity as clearly as no posts at all. The Q&A section, which most businesses never touch, is one of the few places on a profile where a business can plant its own language directly into the data AI systems pull from — seeding accurate answers to the questions customers actually ask before a competitor's guess sits there uncorrected.

Freshness on a real schedule. 

Semrush's 2025 research found that pages not updated at least quarterly are three times more likely to lose AI citations over time. The same logic applies to a Business Profile: an update cadence, not a one-time setup, is what keeps a listing inside the data AI systems trust enough to cite.

Reputation Signals Now Do Double Duty

Every review a business collects does two jobs at once: it moves the map pack ranking, and it becomes raw material an AI system might quote, paraphrase, or point to when someone asks a question in ChatGPT, Gemini, or an AI Overview instead of typing a search. That second job didn't exist five years ago, and most reputation management strategies haven't caught up to it. A negative review left unanswered isn't just a conversion problem anymore — it's a data point an AI system can surface verbatim to someone who never even visits the business's website.

This is why review management and Google Business Profile management have effectively merged into one discipline. Treating them as separate workstreams — the SEO team handles the profile, and someone else handles reviews when they escalate — leaves a visible gap between the two systems that now read the same data.

Common Mistakes Worth Naming Directly

Businesses lose visibility here in a handful of specific, avoidable ways: choosing a close-enough category instead of the exact one, letting review responses lapse for months at a time, treating the Q&A section as decorative, and updating the profile once during setup and never again. None of these require an agency retainer to fix. They require someone checking the profile with the same regularity as a business checks its bank balance.

FAQ

What's the difference between Google My Business and Google Business Profile? 

They're the same product. Google renamed Google My Business to Google Business Profile in 2021 and removed the standalone app, folding management directly into Google Search and Maps. The search term "Google My Business" persists in public use, but the tool, features, and login process are now under the Google Business Profile name.

How often should a Google Business Profile be updated? 

At minimum, monthly — checking for new reviews, refreshing posts, and confirming hours and service details are current. Businesses in fast-changing categories, or those actively working to improve AI visibility, benefit from a weekly touchpoint, since freshness is now a measurable factor in both map pack ranking and AI citation likelihood.

Do AI Overviews use a different ranking system than Google Search? 

No. Google has confirmed AI Overviews and AI Mode draw from the same underlying search index used for traditional rankings, not a separate AI-specific dataset. There's no special schema or file that guarantees inclusion in an AI-generated answer — the same completeness, review, and freshness signals that drive map pack rankings also drive AI citation.

Does responding to reviews actually affect search rankings? 

Yes, indirectly but measurably. Review response activity is one of the behavioral signals Google associates with an actively managed, trustworthy business, and it factors into both map pack visibility and the quality signals AI systems weigh when deciding which businesses to name in a generated answer.