Small business▲+10Since September 2026: 2% → 12%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
12%from 2% in September 2026
Inside the floor by 1 pointRank 9 → 1 of 145
2 categories · RankedRadar
102Judge labels
22First choices
6Negative labels
14 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
18% in Proximity for enterprise buyers
Rank 2 of 130 in the mid-market standingaccepted challenger
1 of 14 models made it the first choice on the direct prompt; 0% of its 29 labels there were negative.
What the models named instead of Radar →By buyer segmentRead the same way at every buyer size.
Small business1 of 158
11%33 labels
accepted challenger
Mid-market2 of 130
13%29 labels
accepted challenger
Enterprise1 of 124
18%26 labels
accepted challenger
In proximity · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Radar for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Retail, proximity and IoT marketing | Marketing | 13% | 2 of 130 | 0% | 29 | accepted challenger | ▼−3Since September 2026: 19% → 16%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Address verification tools | GTM data and infrastructure | 0% | 24 of 108 | 0% | 6 | under 10 labels · led by Smarty at 47% |
Movement
Since September 2026, Radar held within the floor in all two categories: no change cleared 11 points.
Best category · Proximity · by segment
Mid-market▼−3Since September 2026: 19% → 16%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
16%from 19% in September 2026
Inside the floor by 8 pointsRank 1 of 120, unchanged
Enterprise▼−4Since September 2026: 24% → 20%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
20%from 24% in September 2026
Inside the floor by 7 pointsRank 1 of 115, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Proximity | 19% | 16% | ▼−3Since September 2026: 19% → 16%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 → 2 of 130 |
| Address verification | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 24 of 108, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Radar across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Radar across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 1 | 3 | 1 | 0 | 5 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 1 | 2 | 1 | 0 | 4 |
| DeepSeek V4 Flash | 2 | 3 | 0 | 0 | 5 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 2 | 4 | 1 | 0 | 7 |
| GLM 4.7 FlashX | 1 | 0 | 0 | 0 | 1 |
| MiniMax M2.5 | 1 | 0 | 1 | 0 | 2 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 3 | 2 | 0 | 5 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct14 labels5
Paraphrase13 labels3
Comparative29 labels12not counted in share
Budget-constrained25 labels10
Scale-constrained14 labels4
Negative7 labels2not counted in share
First choiceAlternativeMentionNegative102 labels in all, every segment counted; 22 of the 36 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Best for: Sensor-fusion geofencing at scale ... Excellent for retailers and venues needing scalable proximity event ingestion and campaign trigger rules” Kimi K2 · Proximity · comparative prompt · first choice
“I'd usually recommend Radar if you want one platform that can handle location-based triggers, geofencing, and in-store/proximity experiences” GPT-5.4 mini · Proximity · paraphrase prompt · first choice
“Or Radar — if you already have an app and want precise geofencing, the $0.02/user cost gives you extreme flexibility.” DeepSeek V4 Flash · Proximity · budget prompt · first choice
“The Top Pick: Radar (radar.io) ... you can run your entire proximity marketing campaign on Radar for $0/month” Gemini 3.5 Flash · Proximity · budget prompt · first choice
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
No model argued against it.
Named alongside
The products named in the same answers as Radar, over the 102 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Radar was named but was not.ShowHide
Named alongside
The products named in the same answers as Radar, over the 102 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Radar was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Radar. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 101 of the 102 answers that named Radar and are not a share of its labels.
Domains cited
thecmo.com67
g2.com66
worldmetrics.org54
us.fitgap.com49
sourceforge.net45
zipdo.co43
radar.comYour site38
gitnux.org37
f6s.com33
guideflow.com28
422 of the 460 domain citations in answers naming Radar came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
radar.com is not in Google's top ten for any of the category's searches. In the answers, Radar takes 13% of first choices and Foursquare Proximity takes 15%.ShowHide
Search and answers
radar.com is not in Google's top ten for any of the category's searches. In the answers, Radar takes 13% of first choices and Foursquare Proximity takes 15%.
ShowHideIn search
Google, US estimatesPosition for “proximity marketing platform”
–
not in the top ten
Position for “best proximity marketing platform”
–
not in the top ten
- Searches for its name, Google
- 673,000 a month (“radar”)
- AI search demand for its name, est.
- 59,526 a month
- Organic visits to its site
- about 11,371 a month
- Searches its site ranks for
- 3,568 · 107 in the top three
- Sites linking to it
- 2,274
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
13%
rank 2 of 130 in proximity
Segment leader
15%
Foursquare Proximity
- First choices
- 22 across its categories
- Named in
- 102 answers
- Its own site cited
- in 101 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on radar.com
212
subdomains included
Content
123
counted in the table below
Documentation
56
Product · Integration
6 · 0
| 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.
Names read as Radar
What the judge wrote, as written, with how often. The vendor table decides that these count as Radar; a claim can dispute any of them.
Radar (radar.io) 1
Follow Radar
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Radar.ShowHide
The company
Radar.
ShowHideOn record
Wikidata- Website
- radar.com
- Headquarters
- New York City, United States
- Founded
- 2016
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
In its own words
Stated by the vendor, not checked- Positioning
- Location Infrastructure and Intelligence
- 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. radar.com/pricing
- Starting price
- Starting at $0.02 per monthly tracked user 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. radar.com/pricing
- Certifications
- SOC 2GDPR compliantGDPRGaming Labs International (GLI)
- Customers named
- Dick's Sporting GoodsUnderdogPanera BreadInspire Brandsbet365Plein Air + BojanglesRouteSuper.com
- Not stated on the pages read
- Integrations, hosting
What Radar's own pages state, read September 28, 2026: radar.com, radar.com/pricing, trust.radar.com, radar.com/product/maps, radar.com/customers. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Radar's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Radar, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Radar by email, built from the raw record of the edition. It shows:
- where Radar is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Radar, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.
Badges
Wins only: a badge exists where Radar is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where Radar is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideRadar is among the products AI models recommend first in Retail, proximity and IoT marketing this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.