2 categories · RankedRadar
Radar is a location infrastructure and intelligence platform for teams that fight fraud, optimize operations, and engage customers · radar.com ↗
Strongest at small business, contested with Foursquare Proximity. Ranked 3 of 170 for mid-market buyers.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Ranked first, contested: Foursquare Proximity has 6%.
Foursquare Proximity is first at 15%. 2 of 14 models made it the first choice when asked directly.
Ranked first, contested: Foursquare Proximity has 19%.
Why models recommend it
“Use standard location SDKs (e.g., Radar, Bluedot, or native iOS/Android location APIs) inside your own brand's app”Gemini 3.5 Flash · Negative question · first choice
“Choose Radar if a development team needs flexible geofencing, visit detection, and location APIs.”Perplexity Sonar · Comparative question · first choice
“Foursquare and Radar lead in analytics and attribution, with Radar in developer flexibility.”Mistral Small · Comparative question · first choice
“Established, transparent players currently include Radar, Bluedot, and PlotProjects.”Qwen 3.7 Flash · Negative question · first choice
What gives them pause
“Radar is a proximity marketing platform that some reviewers advise to avoid, citing its high cost ($500+/mo) and enterprise-grade pricing.”Llama 4 Maverick · Negative question · warning
Also on the shortlist
The products named in the same answers as Radar, over the 120 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 73 | 18 | Compare → | |
| 43 | 3 | Compare → | |
| 40 | 1 | Compare → | |
| 37 | 3 | Compare → | |
| 26 | 1 | View → | |
| 26 | 0 | View → | |
| 21 | 7 | Compare → | |
| 21 | 0 | View → | |
| 19 | 1 | Compare → | |
| 13 | 0 | View → |
What the models named instead of Radar →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Radar's own site, not checked by Gane.
- For
- teams fight fraud, optimize operations, and engage customers
- Price stated
- All Radar plans are annual commitments, with usage billed at the rates below and discounts that increase with volume.
- Starting price
- Starting at $0.02 per monthly tracked user
- Free plan or trial
- Radar does not currently offer a free tier. Every plan starts with a quote based on your expected usage, and teams can start with a technical validation period to see the value firsthand.
- Certifications
- SOC 2, GDPR, GLI
- Customers named
- Dick's Sporting Goods, Underdog, Panera Bread, Inspire Brands, bet365, Plein Air + Bojangles, Route, Super.com
- Headquarters
- New York City, United States
- Founded
- 2016
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 115 of the 120 answers that named Radar and are not a share of its labels.
Domains cited
341 of the 418 domain citations in answers naming Radar came from a third party's page. Forty-seven were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 2 | 1 | 0 | 0 | 3 |
| Perplexity Sonar | 1 | 3 | 1 | 0 | 5 |
| Grok 4.20 | 0 | 2 | 1 | 0 | 3 |
| Mistral Small | 1 | 2 | 0 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 4 | 1 | 0 | 5 |
| Llama 4 Maverick | 0 | 1 | 2 | 1 | 4 |
| Qwen 3.7 Flash | 1 | 1 | 0 | 0 | 2 |
| Kimi K2 | 1 | 0 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 2 | 0 | 0 | 2 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 1 | 2 | 0 | 0 | 3 |
What it publishes
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 93 | 7 | 2026-09-25 | Mobile apps | |
| Case study | 15 | undated | |||
| Comparison | 10 | 0 | 2026-06-02 | ||
| Glossary or explainer | 5 | 0 | 2026-06-11 |
Most recent
- 2026-09-25How precise location uncovers fraud signals traditional signals miss blog
- 2026-09-22Three ways to use precise location to detect and prevent fraud blog
- 2026-09-21Location signals in fraud prevention why precise location reveals the connections ip misses blog
- 2026-09-17How does location intelligence detect coordinated fraud in financial services blog
- 2026-08-18From location infrastructure to location intelligence radars latest brand refresh blog
- 2026-07-23Campaign scheduling and user insights blog
How it is countedHide how it is counted
Every page radar.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.