Retail, proximity and IoT marketing
Asked as “proximity marketing platform”, and as “location-based and in-store marketing tool”, on behalf of a mid-market B2B software company. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
15%
Contested · Radar 13%
15Foursquare Proximity13Radar07Google Business Profile65others
15% of first choices, contested.
Since September 2026▲+5Since September 2026: 9% → 13%, +5 points. Inside the 12-point floor: within noise. Read over the models both editions asked.Foursquare Proximity held the lead, +5 points on 9%, inside the 12-point floor.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01
Foursquare Proximity15%7%29accepted challenger▲+5Since September 2026: 9% → 13%, +5 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 13%
Foursquare Proximity15%7%29accepted challenger▲+5Since September 2026: 9% → 13%, +5 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 13%02
Radar13%0%29accepted challenger▼−3Since September 2026: 19% → 16%, −3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.19% → 16%
Radar13%0%29accepted challenger▼−3Since September 2026: 19% → 16%, −3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.19% → 16%03
Kontakt.io7%12%16accepted challenger▲+1Since September 2026: 2% → 3%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 3%
Kontakt.io7%12%16accepted challenger▲+1Since September 2026: 2% → 3%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 3%04
Gimbal4%6%16accepted challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 5%
Gimbal4%6%16accepted challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 5%05
Braze4%22%18accepted challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 5%
Braze4%22%18accepted challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 5%06
InMarket4%27%11criticized challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 5%
InMarket4%27%11criticized challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 5%07
GroundTruth2%9%11accepted challenger▼−6Since September 2026: 9% → 3%, −6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 3%
GroundTruth2%9%11accepted challenger▼−6Since September 2026: 9% → 3%, −6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 3%08PlotProjects2%10%10accepted challenger▼−4Since September 2026: 6% → 3%, −4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.6% → 3%
Show the three products at 0%, ordered by negative rate
10
Estimote0%20%15accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%
Estimote0%20%15accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%11
Airship0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Airship0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%09
CleverTap0%12%16accepted challenger▼−6Since September 2026: 6% → 0%, −6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.6% → 0%
CleverTap0%12%16accepted challenger▼−6Since September 2026: 6% → 0%, −6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.6% → 0%The floor is 12 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. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All six head-to-head pages: the top four products, each against each
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01020304050607P08
091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Foursquare Proximity15%
Foursquare Proximity15%02Radar13%
Radar13%03Kontakt.io7%
Kontakt.io7%04Gimbal4%
Gimbal4%05Braze4%
Braze4%06InMarket4%
InMarket4%07GroundTruth2%
GroundTruth2%08PlotProjects2%
09CleverTap0%
CleverTap0%10Estimote0%
Estimote0%11Airship0%
Airship0%What they warned about
A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Braze22%
4 of 18 labels negative · 4 of 6 models · 2 hard negative
“**Avoid:** Enterprise tools like Braze/CleverTap (great but $100s+/month post-trial)” Grok 4.20, budget prompt
Beacons.ai100%
3 of 3 labels negative · 3 of 6 models · 3 hard negative
“Several Reddit posts specifically warn against using Beacons for email marketing, citing lost business due to account issues.” MiniMax M2.5, negative prompt
Estimote20%
3 of 15 labels negative · 3 of 6 models · 2 hard negative
“Historically suffered from very poor app/store ratings (sometimes as low as 2.3/5)... "unreliable"” Qwen 3.7 Flash, negative prompt
InMarket27%
3 of 11 labels negative · 3 of 6 models · 2 hard negative
“The FTC has taken action against location-data companies like **InMarket**, **Kochava**, and **X-Mode/Outlogic** over precisely those kinds of practices.” GPT-5.4 mini, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the six in this edition.
Sites the answers cite
78 of 84 answers in this category came back with a source list, from 14 of 6 models: citations where the model returns them, or the search results it consulted. 1206 links across 333 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.
51 answers · 61 citations · 13 models
49 answers · 104 citations · 13 models
42 answers · 66 citations · 11 models
34 answers · 55 citations · 11 models
28 answers · 35 citations · 10 models
vendor site · SourceForge23 answers · 48 citations · 12 models
22 answers · 36 citations · 11 models
21 answers · 28 citations · 9 models
vendor site · CleverTap19 answers · 24 citations · 10 models
vendor site · Gartner19 answers · 21 citations · 11 models
vendor site · Foursquare15 answers · 22 citations · 12 models
vendor site · Purple13 answers · 16 citations · 7 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
50 answers · 13 models
31 answers · 10 models
29 answers · 12 models
23 answers · 10 models
18 answers · 9 models
18 answers · 9 models
16 answers · 9 models
15 answers · 10 models
14 answers · 7 models
13 answers · 11 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best proximity marketing platform”, “proximity marketing platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days |
|---|---|---|---|---|---|---|---|
| Foursquare Proximity foursquare.com | 15% | 73 | 0 | 1,147,419 | |||
| Radar radar.com | 13% | 101 | 673,000 | 59,526 | 11,371 | 29 | |
| Kontakt.io kontakt.io | 7% | 43 | 720 | 17 | 9,706 | 16 | |
| Propensity propensity.com | 7% | 24 | 40,500 | 1,015 | 4,134 | $1,093 | 24 |
| Google parent site Google Business Profile 7% | 7% | 63 | 550,000 | 1,719 | |||
| Gimbal infillion.com | 4% | 51 | 40,500 | 7,979 | 2,257 | ||
| Braze braze.com | 4% | 505 | 27,100 | 6,395 | 55,552 | $13,112 | 59 |
| Uniqode uniqode.com | 4% | 21 | 3,600 | 13 | 79,223 | 31 | |
| InMarket inmarket.com | 4% | 31 | 2,400 | 82 | 1,543 | 0 | |
| NearBee | 4% |
Google's top ten for the two searches hold 12 sites; 3 of them are among the sites the models cited here (gartner.com, purple.ai, thecmo.com). The first result for “best proximity marketing platform” is thecmo.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best proximity marketing platform for a mid-market B2B company?”Paraphrase“Which location-based and in-store marketing tool would you recommend to a mid-sized B2B company?”Comparative“What are the top proximity marketing platforms and how do they differ?”Budget-constrained“What is the best proximity marketing platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a proximity marketing platform. What should we look at?”Negative“Which proximity marketing platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Foursquare read as Foursquare Proximity
Foursquare (Foursquare Attribution) read as Foursquare Proximity
Foursquare (Pilgrim SDK) read as Foursquare Proximity
Foursquare (via Onyx or Data Partners) read as Foursquare Proximity
Foursquare's Proximity solution read as Foursquare Proximity
Unresolved, counted raw
All In One Marketing (AIOM)
Appy Pie
Beacon.io
ColdIQ
DWELL™
Geolid
GoSite
Google Maps Platform
LinkedIn Ads with Geotargeting
Mapwize
Pilgrim SDK
Proximity Kit / DIY Solutions
PureLingo
Push.io
Rezolve Point SDK
Royaltie (Royaltie Gem)
Ruuf
ScreenCloud
Shared Audiences
SiteZeus
Storesight
ThirdChannel
V12 Promotions
Waze Ads
X-Mode Social
Yodeck
Yumify
Zappter Alternatives
Zūmigo
Discontinued, still offered
No shut-down product was recommended here.