# Radar: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 35 judge labels across 2 categories by 13 of 14 models. Page: https://www.gane.ai/index/gtm/vendors/radar

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Retail, proximity and IoT marketing](https://www.gane.ai/index/gtm/marketing/retail-proximity-and-iot-marketing/index.md) | 4% | 3 | 3% | 31 |
| [Address verification tools](https://www.gane.ai/index/gtm/gtm-data/address-verification/index.md) | 0% | 15 | 0% | 4 |

## What the models said for 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, Proximity)
- "Choose Radar if a development team needs flexible geofencing, visit detection, and location APIs." (Perplexity Sonar, Proximity)
- "Foursquare and Radar lead in analytics and attribution, with Radar in developer flexibility." (Mistral Small, Proximity)
- "Established, transparent players currently include Radar, Bluedot, and PlotProjects." (Qwen 3.7 Flash, Proximity)

## And against it

- "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, Proximity)

## 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 |

## Sources returned with these answers

The sites and pages cited by the answers that named Radar, from 115 of the 120 answers that named it (only the models that return a source list).

### Domains cited

- thecmo.com: 64
- g2.com: 61
- axiobench.com: 56
- gane.ai/index: 47
- sourceforge.net: 38
- verifiedmarketresearch.com: 33
- guideflow.com: 32
- f6s.com: 30
- radar.com: 30 (its own site)
- revenuebase.ai: 27

### Pages cited

- https://thecmo.com/tools/best-proximity-marketing-software: 63
- https://axiobench.com/best/proximity-marketing-software: 54
- https://verifiedmarketresearch.com/blog/top-proximity-marketing-companies: 33
- https://g2.com/categories/mobile-marketing/f/proximity-marketing: 30
- https://g2.com/categories/location-based-marketing: 28
- https://www.gane.ai/index/gtm/marketing/retail-proximity-and-iot-marketing/smb: 26
- https://revenuebase.ai/companies/proximity-marketing-platforms/united-states: 24
- https://f6s.com/software/category/proximity-marketing: 22

## The company

Radar; https://radar.com/; New York City, United States; founded 2016. From Wikidata, fetched 2026-09-14.

## In its own words

What Radar's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: Location Infrastructure and Intelligence (https://radar.com/)
- For: teams fight fraud, optimize operations, and engage customers (https://radar.com/)
- Price stated: All Radar plans are annual commitments, with usage billed at the rates below and discounts that increase with volume. (https://radar.com/pricing)
- Starting price: Starting at $0.02 per monthly tracked user (https://radar.com/pricing)
- 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. (https://radar.com/pricing)
- Certifications: SOC 2, GDPR, GLI
- Customers named: Dick's Sporting Goods, Underdog, Panera Bread, Inspire Brands, bet365, Plein Air + Bojangles, Route, Super.com

## What it publishes

Every page radar.com exposes, read 2026-09-29: 212 addresses. By kind, pages and the last 90 days:

- blog: 93 pages, 7 in the last 90 days, latest 2026-09-25
- case study: 15 pages, 0 in the last 90 days, latest undated
- comparison: 10 pages, 0 in the last 90 days, latest 2026-06-02
- glossary or explainer: 5 pages, 0 in the last 90 days, latest 2026-06-11
- Recent: 2026-09-25 blog: How precise location uncovers fraud signals traditional signals miss https://radar.com/blog/how-precise-location-uncovers-fraud-signals-traditional-signals-miss
- Recent: 2026-09-22 blog: Three ways to use precise location to detect and prevent fraud https://radar.com/blog/three-ways-to-use-precise-location-to-detect-and-prevent-fraud
- Recent: 2026-09-21 blog: Location signals in fraud prevention why precise location reveals the connections ip misses https://radar.com/blog/location-signals-in-fraud-prevention-why-precise-location-reveals-the-connections-ip-misses
- Recent: 2026-09-17 blog: How does location intelligence detect coordinated fraud in financial services https://radar.com/blog/how-does-location-intelligence-detect-coordinated-fraud-in-financial-services
- Recent: 2026-08-18 blog: From location infrastructure to location intelligence radars latest brand refresh https://radar.com/blog/from-location-infrastructure-to-location-intelligence-radars-latest-brand-refresh
- Recent: 2026-07-23 blog: Campaign scheduling and user insights https://radar.com/blog/campaign-scheduling-and-user-insights

## Record

- Method: https://www.gane.ai/index/gtm/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/gtm.