Your listings don't sell themselves if no one can find you.
"Realtor near me" returns a different 3-pack in every neighbourhood you farm — and the map pack around your office tells you nothing about your visibility five streets over, where your next listing actually is. SeoMap simulates that search across every neighbourhood you work, agent by agent or office by office, and colours the result so you can see exactly where you show up and where a bigger franchise office quietly owns the pack instead.
Built around what you actually do all day.
- 01
Checking every neighbourhood you farm, not just your office block
A configurable 7×7 to 13×13 grid lets you set the spacing to match how your farm area is actually laid out — tight for a dense urban district, wider for suburban zip codes. One scan shows which of your target neighbourhoods you already dominate and which ones a competing agent has locked down.
- 02
Buyer searches vs. seller searches aren't the same map pack
"Realtor near me", "homes for sale in [neighbourhood]" and "listing agent [city]" can each surface a different set of agents at the same coordinate. Run a separate scan per search intent instead of assuming one "we rank well" check covers all of them.
- 03
Individual agents inside the same brokerage, kept separate
Each project is matched by Google CID/Place-ID, not by name — so your personal agent profile doesn't get confused with your brokerage's main office listing, or with another agent who happens to share your name in a different part of the metro. Multi-agent teams and multi-office brokerages can run every profile side by side.
- 04
A heatmap sells the pitch to a seller better than a spreadsheet
A green-to-red map centred on a seller's actual address, showing exactly how far your visibility reaches, is a stronger listing pitch than a printed CMA. Share it as a public link — no login required for the homeowner deciding who lists their house.
- 05
Proving a farming campaign actually widened your reach
After a mailer drop, an open-house push or a new neighbourhood landing page, scan comparison lays the old and new grid side by side and shows the delta per point — improved, dropped, new, lost. That's the evidence a broker or marketing budget review actually wants to see.
What a real estate agent’s grid actually shows
Real estate search is neighbourhood-shaped, not city-shaped. A buyer typing “realtor near me” from one zip code and a seller typing it from theirs can land on two completely different sets of agents, because the map pack recalculates per coordinate — and a single “we’re ranking well” check, run once from your office address, tells you nothing about the territory you actually work. A grid scan puts that territory on the map instead of leaving it to guesswork: set the grid to match your farm area, run it on the search terms buyers and sellers actually type, and watch which neighbourhoods turn green and which ones a competing agent or a bigger franchise office already owns.
That matters twice over for anyone running a farm-area strategy. First, it tells you where to actually spend a mailer or ad budget — a neighbourhood that’s already solidly green doesn’t need the same push as one sitting at amber or red. Second, ATRP (Average Total Rank Position) counts the grid points where you didn’t show up at all, not just the ones where you did, which is exactly the blind spot that makes an agent think their visibility is wider than it is.
For teams and multi-office brokerages, the same grid run separately per agent — matched by CID/Place-ID so no two profiles get confused, even when two agents share a name across different offices — turns into a straightforward comparison: which agent’s personal brand actually reaches the farthest, and which listing area needs a push before the next quarter’s marketing spend gets allocated.
Prepare your measurement
Questions we actually get asked.
I rank #1 near my office — why don't I get calls from the next neighbourhood over?
Google Maps rankings are calculated per coordinate based on proximity, relevance and your profile's own signals — a strong position near your office says nothing about a neighbourhood a few kilometres away. A grid scan is the only way to see that boundary instead of assuming it matches your office ranking.
Can I track buyer-side and seller-side searches separately?
Yes — run one scan per search term ("realtor near me", "homes for sale in [neighbourhood]", "listing agent [city]"). Each can surface a different set of agents at the same location, so treating them as one ranking hides real gaps.
We're a brokerage with several agents — will their profiles get mixed up?
No. Every project is matched by Google CID/Place-ID rather than name, so individual agent profiles, team pages and the main office listing all stay cleanly separate, even when names overlap.
What grid size makes sense for a farm area?
It depends on how the area is shaped. A dense urban farm area often fits a 7×7 to 9×9 grid with tight spacing; a suburban territory covering several zip codes usually needs a wider 11×11 or 13×13 grid. Start compact and widen it once you see where visibility actually drops.
Is there a way to try this before committing a marketing budget to a new farm area?
Yes — 500 free credits on signup, no credit card. Enough to run a real scan across a neighbourhood you're considering before you commit a mailer or ad budget to it.
Can I pull the data into another tool, or do I need to read every scan myself?
Both are covered. A read-only REST API ships with every plan — self-managed, revocable keys, endpoints for projects, scans and individual grid points — so you can wire results into Zapier, n8n or your own reporting. Every completed scan also gets a short AI-generated analysis paragraph automatically, on top of the existing rule-based breakdown, so you're not staring at a raw grid trying to figure out what changed.
Lay the map over your service area.
The first scan takes under three minutes. After that you’ll see your visibility the way your customers do.