Ask an AI assistant to recommend a dentist near Tiong Bahru, or the best bak kut teh stall in Balestier, and the answer rarely comes from a webpage at all. It comes from a business profile: a name, a set of categories, a string of reviews and a handful of photos, pulled together and summarised in seconds.

That shift has crept up on a lot of Singapore business owners. Years of search advice trained them to think about ranking a website, writing blog posts and chasing backlinks. But when Google’s AI Overviews, Gemini or a connected assistant answers a “near me” query, the page it draws from most heavily is often not the website at all. It is the Google Business Profile sitting quietly in the background, and for many small and medium enterprises, that profile is badly out of date.

AI Answers Are Only as Good as the Profile Behind Them

Local AI search results behave differently from a conventional organic listing. Where a webpage earns its ranking through backlinks, keyword relevance and site authority, a local AI answer is assembled from structured, verifiable data: opening hours, categories, attributes, photos and reviews, all sitting inside the business’s own Google Business Profile. When that data is thin, inconsistent or stale, the AI system either skips the business entirely or fills the gap with whatever secondary source it can find, which is rarely flattering.

That difference carries more weight for AI-generated answers than it ever did for classic search, because there is no results page to scroll past. A user asking an AI assistant where to get a watch repaired in Ang Mo Kio gets one answer, maybe two, and the business behind that answer was chosen because its profile gave the system enough confidence to recommend it outright.

The Profile Fields That Do the Heaviest Lifting

Not every part of a Google Business Profile carries equal weight in how AI systems interpret and recommend a business. Five fields tend to carry the most weight:

A profile that is merely claimed, with a name and an address and nothing else, gives an AI system almost nothing to work with.

Reviews Carry Outsized Weight in the Mix

Reviews sit at the centre of this picture, and in a different way from how they shaped traditional search. Volume still counts, but recency and specificity count more: a profile with twelve detailed reviews from the past three months tends to outperform one with two hundred reviews that stopped arriving two years ago. AI systems read review text for context about what a business actually offers, drawing out mentions of specific services, price points or neighbourhoods that attributes alone would not capture.

This connects closely to the wider pattern covered in ZeroClick’s recent look at reviews that AI models trust. Local businesses sit at the sharp end of that pattern, because a dentist or a hair salon rarely has the kind of third-party press coverage that a larger brand can lean on. That business listing, and the reviews attached to it, often is the entity data.

Closing the Gaps Most Singapore Profiles Still Have

Most of the fixes here are not technical. They come down to attention:

What Complete Profiles Actually Earn

The gap between a complete profile and a neglected one is larger than most owners assume. According to Ahrefs’ 2026 local search data, which compiles Google’s own research, customers are 2.7 times more likely to consider a business reputable when they find a complete profile on Search and Maps, and are 70% more likely to visit it as a result. Local pack ranking studies cited in the same analysis put profile completeness at roughly a third of what determines local pack placement, ahead of on-page content or backlinks.

For AI-generated answers specifically, that completeness premium looks even larger, since an AI system weighing several similar businesses will tend to default to whichever one gives it the clearest, most current picture. A profile with gaps tends not just to rank lower, but to disappear from the AI’s answer entirely.

A Timely Push for Singapore’s SMEs

Singapore’s push toward SME digitalisation has focused heavily on operations and payments, but visibility is catching up as a priority. IMDA’s Singapore Digital Economy Report shows that, per Singapore’s latest SME digitalisation figures, 95.1% of SMEs have now adopted at least one form of digital tool, a figure that suggests the basic infrastructure for a stronger local profile, a verified listing, a managed inbox for reviews, is already in place for most businesses. What is missing, more often, is the habit of treating that listing as part of the AI search strategy, not an administrative afterthought. For brick-and-mortar sectors with a genuine local footprint, clinics, salons, cafes, repair shops, this is one of the lower-effort, higher-return pieces of the AI visibility picture available right now.

A properly maintained local profile will not replace a wider content and citation strategy, but it gives AI systems the foundation they need before any of that other work can be recommended with confidence. Businesses weighing where to start with AI visibility this quarter could do worse than to begin there.

If it would help to talk through what a stronger profile and citation strategy could look like for your business, feel free to get in touch.

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