Google Maps ranks a business by how well it matches the search (relevance), how close it is to the searcher (distance), and how well known and trusted it is (prominence). Relevance is set by your Business Profile categories, services and description, and the website behind them. Distance you cannot change. Prominence is built from review count, rating and recency, links and mentions across the web, and overall activity. The Map Pack shows three results, and which three depends on where the searcher is standing, so a business can rank first at its address and not appear a few kilometres away.
By the numbers
- Relevance, distance, prominence are the three factors Google names for local ranking, with no way to pay for a better one. GOOGLE DOCUMENTED
- Proximity is estimated at around 55% of Local Pack weight in Whitespark’s 2026 practitioner survey, the single largest factor. INDEPENDENT RESEARCH
- Most of the remaining weight sits in Google Business Profile signals and reviews, with on-page website signals behind them. INDEPENDENT RESEARCH
- Results for the same query change with the coordinates attached to it (DataForSEO, 2026), which is why Maps ranking is measured as coverage, not a single number. INDUSTRY DATA
The three factors, and what feeds each
What Google Maps is weighing
How well your profile and site match what was searched. Fed by the primary category (the strongest single field), secondary categories, the services list and their descriptions, the business description, and the words on the matching website page. If Google cannot tell what you do, it guesses, usually narrower than you are.
How far you are from the searcher, or from the place named in the search. The largest factor, and the one nobody controls. It is why a ranking observed at your own address is not what a customer across town sees, and why you scan a grid of points rather than one.
How well known and trusted Google believes you are. Fed by review count, rating and recency; links and mentions from other sites; the consistency of your name, address and phone across the web; and how active and complete the profile is. This is the part you build over weeks and months.
What Google Maps does not use
- Payment. There is no way to pay for a higher organic Map position. Ads are a separate, labelled slot.
- Photo GPS data. Google strips location metadata from images on upload, so geotagging does nothing.
- Keywords in the business name. Not a ranking trick; the top cause of suspension.
- Volume of thin directory listings. Consistency across the important ones matters, not the count.
- Posting frequency as a lever. Posts are a minor freshness signal, not a ranking control.
Why the same search shows different results to different people
Two people searching “emergency electrician” a few kilometres apart see different Map Packs, because distance is weighted so heavily. Add personalisation from search history and the picture shifts again. This is the single most misunderstood thing about Maps ranking: your position is not one number, it is a shape across a map, and improving it means widening that shape. That is what a geo-grid measures and what a single rank check hides.
For the sourced weights behind each factor, see the 2026 ranking factors. For the practical work, see how to improve Map Pack rankings.
Sources
- Google Business Profile Help, Improve your local ranking on Google: local results are based on relevance, distance and prominence; there is no way to pay for a better local ranking.
- Whitespark, Local Search Ranking Factors (2026 edition): proximity is the highest-weighted factor at roughly 55%, followed by Google Business Profile and review signals.
- Google Business Profile Help, Add photos to your Business Profile: image location metadata is not used.
- DataForSEO, SERP datasets (2026): local pack composition for the same query changes with the coordinates attached to the request.
- Peer-reviewed: Baviera-Puig, A., Buitrago-Vera, J., & Escriba-Perez, C. (2016). “Geomarketing models in supermarket location strategies.” Journal of Business Economics and Management 17(6), 1205–1221. The probability a consumer chooses a location falls as travel distance rises, the spatial logic behind proximity weighting.
Weights from third-party surveys are directional, not Google’s disclosed formula.