Reach by Locus Intelligence

Local SEO for retail stores: found for near me searches in every neighborhood

Rank where the shopper stands,
not where the store sits.

Reach checks the Maps rank for every store from nine points around it, finds the gap against the three stores above you, and ships the fix: categories, attributes, the store page and the citations the engines read.

Free for one locationNothing goes live without approvalEvery action logged

  • Google Search
  • Map pack
  • AI answers
  • Nine-point rank grid
  • Location pages
ReachHarbor & Grain Home Midtown · rank grid · "furniture store near me"
Nine-point grid, "furniture store near me"Average rank 3.6 · #1 in 4 points, #5 to #8 in the west pointsRank 3.6

Shoppers west of the store never see it. The grid shows exactly where.

Gap found against the top three
Missing attribute: design consultationThe three stores above you list it, you do notFix ready
Store page has no "what is in stock" sectionAdd current ranges, services and parkingFix ready
Shipped after approval · re-checked in 7 days
Attribute and page section liveCitations updated on Apple Maps and the directoriesLive
Next grid scheduledReach re-runs the nine points and shows the movementScheduled

One grid, one gap, one fix. Reach runs this per store and per category, every week.

Retail use cases

What Reach handles for retail.

Nine-point rank grids

Maps rank for each store from nine points around it.

Store pages that rank

A fast page per store with ranges, services, events and directions, kept in sync with the profile.

Category and attribute gaps

The categories and attributes top stores list, compared with yours, shipped after approval.

Consistent citations

Name, address and phone matched across Apple Maps, Bing and the directories.

Category and brand searches

Pages for the ranges and brands shoppers search for, per city.

Reported per store

Rank, calls and direction requests per store in one view for head office.

FAQ

Local SEO for retail, answered.

What is local SEO for retail?

Making each store rank in Google Maps and local search for "near me" queries in its neighborhood, by fixing the profile, the store page and the citations the engines read.

Why nine points?

A store ranks differently depending on where the shopper searches. Nine points show the real picture instead of one average.

Does it help with AI answers too?

The same sources feed AI assistants. Visibility shows whether engines name your stores and which sources to fix.

Can we run it for hundreds of stores?

Yes. Every store gets its own grid and plan, and head office sees the chain in one view.

Is there a free check?

Yes. The free audit shows the Maps rank against the top three nearby and the top fixes.

Never miss another customer.

Start with a free audit. See what each location is losing, and where.

Profile score, Maps rank against the top 3, and the fixes that matter most.

Or book a demo
  • Role-based access by region and brand
  • Every action logged and reversible
  • Nothing customer-facing goes live without approval