Nobody walks four blocks to see your rank drop.
Restaurant search is decided within a few hundred metres — someone standing on one corner sees a completely different map pack than someone standing two streets over. SeoMap runs that search across a tight grid around the restaurant, cuisine by cuisine, and shows exactly which block still shows the restaurant and which one already shows the competitor instead.
Built around what you actually do all day.
- 01
Dense competition needs a tight grid
In a busy city centre, three restaurants can each dominate a different corner of the same square. Point spacing is fully configurable down to street-level distances, so a scan can show which specific block a restaurant owns instead of averaging it away across a radius that's too wide to mean anything.
- 02
One scan per cuisine or occasion
"Italian restaurant", "sushi near me" and "brunch" can return three different map packs at the same coordinate. Import the restaurant's Google Search Console data to pre-fill the actual terms customers searched over the last 90 days, then run each one as its own scan instead of guessing which term matters most.
- 03
Chains and multi-location groups
Two locations of the same restaurant brand — or a restaurant and an unrelated one sharing a name across town — are matched by Google CID/Place-ID, not name, so a scan never mixes up which grid belongs to which address.
- 04
Fast enough to check before a big weekend
A 13×13 grid (169 points) finishes in under three minutes, filling in live on the map as it runs. That's fast enough to run right before deciding whether to push ads for a weekend or an event, not just as a monthly reporting task.
- 05
Proving a Google Business Profile update actually helped
New photos, an updated menu, or fixed opening hours are common fixes — but hard to prove worked. Scan comparison lays the before and after grid side by side and shows the delta per point, so the next update is based on what actually moved, not a guess.
Why a restaurant’s ranking changes block by block
A restaurant’s Google Maps visibility is about as hyperlocal as local search gets. Someone deciding where to eat right now is almost always standing within a few hundred metres of their eventual choice, which means the map pack they see is decided by which corner they’re on — not by some citywide average. A restaurant that looks strong from one check outside its own door can be entirely absent from the pack two streets away, where a different restaurant with a similar cuisine or price point takes the top three spots instead.
That’s why a restaurant’s grid needs to be tighter than most other verticals: a small point spacing across a 7×7 or 9×9 grid can separate one side of a square from the other, which a wider grid built for, say, a law firm’s metro-wide catchment would simply average away. Running that grid separately for each search term that matters — the cuisine, the occasion, the dish — shows which one the restaurant already wins on and which one a competitor a hundred metres away is quietly taking.
For a restaurant group running several locations, or an agency managing a handful of restaurant clients, the same setup scales: each location is its own project, matched by CID/Place-ID so two branches sharing a name never get confused, and a scan finishing in under three minutes means it can be run right before a weekend push, not just filed away as a monthly report.
Prepare your measurement
Questions we actually get asked.
We're in a dense city centre — how tight should the grid be?
Tighter than most verticals. Use a smaller point spacing across a 7×7 or 9×9 grid so the scan can distinguish between corners of the same square instead of blending them into one average.
Can I track different cuisines or dishes as separate keywords?
Yes — run a separate scan per search term ("pizza", "sushi", "vegan restaurant"...). They routinely return different map packs at the exact same address, so tracking them as one ranking hides which one is actually working.
We have multiple locations that get mixed up online all the time — can SeoMap tell them apart?
Yes. Each location is matched to its Google listing by CID/Place-ID rather than name, so two branches of the same brand — or two unrelated restaurants with a similar name — never get confused in a scan.
Does this cover delivery-style searches, or just walk-in?
It covers whatever the searcher typed and where they were standing when they typed it — including delivery-intent queries. What it shows is the same Google Maps map pack a real customer would see from that coordinate, for that search.
Is there a trial before I commit to a plan?
Yes — 500 free credits on signup, no credit card. Enough to run a couple of real scans on the restaurant before deciding what you need.
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.