Mental Models for the AI EconomyWeb & AI Search
Google Maps Heatmaps: What Your Local Ranking Really Looks Like
Why one rank is misleading, how geo-grid footprints expose opportunity, and the truth behind the observed shared-building filter — with an interactive map model.
A restaurant can be number one at the front door and invisible six blocks away. That is not a contradiction. Local ranking is geography wearing an algorithm.
The 3-pack is local search’s front shelf
For queries with local intent, Google commonly places a map and three Business Profiles above the ordinary web results. Google calls this the Local Pack. The industry calls it the 3-pack or Map Pack. It is built from Business Profile data, not simply from the ten blue links below it.
What Google confirms — and what it does not
Google’s own guidance names three inputs: relevance is how well the profile matches the query; distance is how far the result is from the searcher; prominence is how well known the business appears to be. Complete profiles, accurate hours, photos, and genuine reviews help Google evaluate those inputs. Google Business Profile Help.
A shared address can create a filtering problem. It does not create a documented “one winner per building” rule.
Local-search researchers have repeatedly observed near-duplicate businesses disappearing for particular queries when they share an address or sit extremely close together. The strongest profile for that query often remains. Sterling Sky documents this as the local filter; Google does not publish its thresholds. Observed local-filter cases.
A rank is a footprint, not a number
The useful question is not “Where do I rank?” It is “Where does my top-three footprint stop, and which competitor’s footprint begins there?” Shared green cells prove competitive parity is possible; amber cells identify the next expansion hypothesis.
Read overlap as a strategy map
If you and two competitors all hold top-three positions in one zone, Google already considers all three plausible answers there. If their green footprint extends east while yours collapses, that is a useful expansion hypothesis: inspect the pages, reviews, links, service evidence, and real-world relevance supporting their eastern footprint. Do not copy a pin pattern or fabricate an address. Strengthen the business evidence that should exist there.
The operating playbook
- Measure a representative grid for one specific service query.
- Separate “not relevant” from “too far” by comparing several service terms.
- Audit duplicate listings and shared-address competitors.
- Improve the real profile: accurate category, services, hours, photos, and reviews.
- Build useful location evidence for zones you genuinely serve.
- Repeat the same grid and settings; compare footprint, not one pin.
The quotable idea: local visibility is not a rank. It is the geographic area in which Google is confident enough to include you among three answers.
Sources and limits
Primary source: Google on local ranking. Practitioner evidence: Sterling Sky on local filtering and BrightLocal on shared locations. Geo-grids are third-party diagnostics, not Google reporting.
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Performance marketing and search leader who builds — 15+ years in digital growth and product (AT&T/DirecTV, Microsoft, Employbridge, Site Impact), now running his own properties with AI. These essays are field notes from that loop: what AI actually changes about work, product, and the economics underneath. Based in South Florida.
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