# Foursquare Proximity vs Kontakt.io: which do AI models recommend for proximity, October 2026

GTM AI Recommendation Index, October 2026 Edition, Retail, proximity and IoT marketing. Two of fourteen models named Foursquare Proximity first on the direct prompt; one named Kontakt.io. Page: https://gtm-ai-index.com/marketing/retail-proximity-and-iot-marketing/foursquare-proximity-vs-kontakt-io/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Foursquare Proximity | 15% | #1 of 11 | 7% | 29 | 14 of 14 |
| Kontakt.io | 7% | #3 of 11 | 12% | 16 | 10 of 14 |

## The direct prompt, model by model

- Perplexity Sonar: foursquare proximity first (first choices: Foursquare Proximity) (alternatives: Insider)
- DeepSeek V4 Flash: foursquare proximity first (first choices: Foursquare Proximity) (alternatives: Gimbal, GroundTruth, InMarket)
- Muse Glimmer 30B: kontakt.io first (first choices: Kontakt.io) (alternatives: Foursquare Proximity, Gimbal, Uniqode)
- GPT-5.4 mini: neither first, one named (first choices: Demandbase) (alternatives: Bluedot, Foursquare Proximity, Gimbal)
- Grok 4.1 Fast: neither first, one named (first choices: InMarket) (alternatives: Foursquare Proximity, Radar)
- Mistral Small: neither first, one named (first choices: Radar) (alternatives: InMarket, Kontakt.io)
- Qwen 3.7 Flash: neither first, one named (first choices: Ruuf) (alternatives: Foursquare Proximity, Push.io, Wrebby)
- Kimi K2: neither first, one named (first choices: InMarket) (alternatives: Foursquare Proximity, Radar)
- GLM 4.7 FlashX: neither first, one named (first choices: Braze) (alternatives: CleverTap, Foursquare Proximity, SAP Engagement Cloud)
- Claude Haiku 4.5: neither named (first choices: HubSpot Marketing Hub) (alternatives: AdRoll ABM, DemandScience, Mapsted, Terminus)
- Gemini 3.5 Flash: neither named (first choices: Propensity) (alternatives: GroundTruth, Qujam, StackAdapt)
- Llama 4 Maverick: neither named
- MiniMax M2.5: neither named (alternatives: Hey Sid, Propensity)
- GPT-6 Luna: neither named (first choices: Propensity) (alternatives: Radar, Shared Audiences)

## What the models said about Foursquare Proximity

- "Foursquare around venue-level attribution ... may be the wrong choice if you need broad proximity marketing rather than a narrow use case" (Perplexity Sonar, negative prompt, soft negative)
- "it is contact-vendor-for-pricing, so it may not be the most budget-friendly choice for a small company" (GPT-5.4 mini, budget prompt, soft negative)
- "I would pick Foursquare Proximity for a mid-market B2B company that cares most about location-triggered activation and measurable geofenced campaigns" (Perplexity Sonar, direct prompt, first choice)
- "Foursquare is the most dependable pick for brands that need venue-level proximity targeting and visit attribution without running beacon hardware programs" (Muse Glimmer 30B, scale prompt, first choice)
- "I'd recommend Foursquare's Proximity solution as a strong location-based and in-store marketing tool." (Grok 4.1 Fast, paraphrase prompt, first choice)

## What the models said about Kontakt.io

- ""Complete Scam": Some reviewers explicitly label the vendor as a scam and report terrible customer service." (Qwen 3.7 Flash, negative prompt, hard negative)
- "can make them a poor fit if you want a simple plug-and-play marketing tool" (Perplexity Sonar, negative prompt, soft negative)
- "Kontakt.io is the go-to for multi-location teams that want beacon-driven triggers with controlled deployment operations" (Muse Glimmer 30B, scale prompt, first choice)
- "Kontakt.io is the most frequently recommended mid-market beacon platform for operational scale and API extensibility." (Muse Glimmer 30B, direct prompt, first choice)
- "Recommendation: Kontakt.io
This is the industry leader for Proximity Marketing." (Qwen 3.7 Flash, paraphrase prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.