Competitor analysis · the geographic kind
Who already serves the customers around your location?
Before demand questions, a location faces a supply question: which businesses of your kind are already operating within reach, how dense the category is, what sits beside you, and what nobody has claimed yet. LocateRight answers those as evidence — category-matched places around your point, ordered by distance, each record labeled with its source — and stops short of any verdict.
The concept
Competition is geographic evidence — not a conclusion
Most competitor analysis in business writing is about strategy decks and market-share arithmetic. For a specific address, the useful version is more physical: competitors are places, places have locations, and the honest first pass is a map-shaped answer — who is near, how near, how many, and what the sources actually support. Density answers one question (is this category contested here?), while proximity answers another (does the nearest rival sit inside your realistic catchment?), and conflating them is how “there are forty coffee shops in this city” gets cited about a two-kilometre decision.
LocateRight keeps that separation visible. The competitive view is built from the same place records as everything else on the canvas — its own label says so: a view over the same nearby places data; facts from the place records, no scoring. What you get is a thorough, checkable read of local supply — and the judgment of what it means stays where it belongs, with you.
The workflow
What you can examine around a location
Free on every plan
Competitive landscape
Places matching your chosen category around the analyzed point — nearest first, with distance computed from the records and the category density of the area alongside.
Context
Category mix & density
How the loaded places split across buckets — food, retail, health, lodging — and places per square kilometer, so “busy” and “saturated” become separate numbers.
Paid plans
White Space
Name the categories and check presence or absence inside the area. A not-observed row reports exactly that — nothing found in the loaded sources for this area — which the product is careful to distinguish from proof of absence.
Paid plans
Co-location
Count the categories you choose around the site — offices, gyms, transit, hotels — without the system assuming any of them is complementary to your business. You pick; it measures.
Depth, by plan
The same list, at different depths
LocateRight gates enrichment, not the basic map — and the stripping happens at the API boundary, so a plan sees a clean list rather than blurred fields. Actual entitlements:
| What you want to know | Explorer (free) | Starter | Professional / Agency |
|---|---|---|---|
| Nearby places matching your category, with distance | Included | Higher allowance | Highest allowance |
| Category mix & business density of the area | Included | ✓ | ✓ |
| White Space & Co-location category checks | — | Metered tool | More runs |
| Price level, website, phone, category type on records | — | — | Enriched fields |
| Opening hours and open-now state | — | — | Enriched fields |
| Compare 2–3 sites with per-field deltas | — | Metered | More runs |
| Save sites to campaigns; snapshot & diff over time | — | — | Included |
Enrichment fields ride the underlying sources: they appear only where the source actually carries them — a place record with no published hours stays without hours on every plan. Current limits and monthly allowances live on the pricing page.
Under the hood, honestly
How the competitor evidence is assembled
There is no secret competitor database behind this. An analysis loads business and place records for the area from the platform's sources — Overture Places and OpenStreetMap, with a live Google Places path when enabled — and the competitive view filters that same set by your category. Where a record carries a rating or attributes, they display; the analysis reports what the data holds, including when it holds little.
Each block names its source, dataset version and retrieval timestamp, because competitor evidence ages differently in different places. A mall's Google listings may be current while an open-data extract for the same block is months behind a closure. The point of provenance is that you can see which version of “who is nearby” you are looking at — and re-run it later to watch that version move.
The limits, stated
What this analysis does not do
- No scores, no rankings, no advice. The shipped analysis note sets the law: raw observations only — no ratings, no predictions, no advice. Competitive facts appear; competitor “strength” never does.
- No performance data. Revenue, profitability, footfall and market share are not computed here and are not in the platform's data catalog — no number in the tool can be dressed as one of them.
- No invented completeness. A thin area of listings means the sources are thin there, which the no-data and not-observed states say out loud instead of smoothing over.
- No assumption of complementarity. Co-location counts neighbors because you asked for those categories — whether a gym helps or hurts your store is your read of the count, not a claim the software makes.
Where it fits
Point, area, competition, choice
Competitor reading is a pass on a location, not the whole inspection. It sits on top of the one-point dossier from business location analysis, is judged inside the catchment drawn in trade area analysis (eight rivals in a five-minute drive is a different fact from eight in a five-minute walk), and its output feeds the shortlist decisions made in site selection. The practice all four pages share is location intelligence: evidence about places, kept traceable. Checking a whole portfolio of competitor sets across many addresses is a bulk workload — CSV in, table out covers it.
Common questions
Competitor analysis FAQ
What is competitor analysis for a business location?
How does LocateRight find nearby competitors?
What are White Space and Co-location checks?
Which competitor details are available?
Does LocateRight score or rank competitors?
How current is the competitor data?
Count your neighbors, not your hopes
Pick a location, choose your category, and see who is already there — with every record pointing back to its source.
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