Search radius

When a user searches "plumber near me" from a specific location, Google's search algorithm draws a circle around that point and returns businesses within a calculated distance. The radius is not fixed — it adjusts dynamically based on:

• Query type: "near me" searches default to a smaller radius; "plumber in my area" may expand it
• Local intent strength: ambiguous keywords trigger wider radius
• Competitor density: dense markets shrink the radius; sparse markets expand it
• Business relevance: highly relevant results may appear outside the base radius

For example, a user in Manhattan searching for a plumber might see results in a 1-mile radius. The same search in rural Montana might return businesses from 20 miles away because supply is lower.

Your search radius determines your actual competitors. A business ranking 5th in a 3-mile radius has real visibility. The same business ranking 5th in a 25-mile radius competes against many more operators and faces higher rank pressure.

This is why geogrid tracking matters. If you track a single location's rank for a keyword, you're only seeing results from one point. But your customer search from different addresses — different blocks, neighborhoods, suburbs. Each generates a different radius and shows different competitors.

Service-area businesses face the widest radius challenge. If you operate in a 50-mile service territory, you rank in that 50-mile radius, but so does every other qualified service business. Your local rank is only visible to customers within your service area who search locally — not to searchers outside it.

Search radius is invisible until you track it. Standard rank tools track from a single point (usually the business address), which misses the geographic variance:

• A plumber's rank might be position 3 from the office, position 7 from a neighborhood 2 miles north, position 12 from 5 miles out
• These are all the same keyword and the same business, but different radius zones show different competition
• Geogrid solves this by tracking rank from a grid of points, exposing how search radius changes rank across your service area

For agencies managing multiple locations, radius consistency matters. A chain with 5 locations in a compact downtown all overlap in their search radius — they compete against each other in the local pack. A chain with 5 locations spread across suburbs each have minimal overlap.

As more businesses adopt service-area models (plumbing, HVAC, roofing, legal services), search radius became the primary ranking variable. You can't rely on a single address to define your market anymore.

Modern rank tracking reflects this. The Local Rank Tracking API tracks search radius dynamically — it maps radius size per keyword and shows you where your rank changes geographically. An agent connected to this API can answer "where do I rank well" and "where do I lose visibility" in seconds.