Foursquare vs InMarket
One of twelve models named Foursquare first on the direct prompt; one named InMarket. Foursquare was named by nine of the twelve models and InMarket by seven and Foursquare carries 26 labels and InMarket 10, so the shares are not directly comparable.
By Foursquare Labs, Inc., New York City, United States, founded 2009. Named in one category this edition.
Named in two categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the retail, proximity and iot marketing page.
By framing
FoursquareFirst choices, of twelve modelsInMarket
Across every category in the September 2026 Edition, Foursquare and InMarket were named in the same answer sixteen times, of the 59 answers naming Foursquare and the 33 naming InMarket. In those answers InMarket took the first choice two times and Foursquare seven.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | | |||||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | | | |||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | |||||
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | |
Foursquare InMarket first choice named as an alternative argued againstblank: not namedEach cell is one answer, Foursquare on the left and InMarket on the right.The direct prompt
Foursquare first, InMarket not the choice
1 of 12 modelsInMarket was named in the answer but not as the choice, or not at all.InMarket first, Foursquare an alternative
1 of 12 modelsFoursquare was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 of 12 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Foursquare2%#6 of 7InMarket0%#– of 7Foursquare12%#2 of 9InMarket5%#6 of 9What the models said about Foursquare
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Caution: Likely overkill for mid-sized B2B teams” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Prioritize platforms with strong privacy postures (e.g., SOC 2 compliance, no data resale, opt-out tools) like Foursquare or Kontakt.io.” Grok 4.1 Fast · negative prompt · first choice
“For most mid-market B2B companies: Radar or Foursquare - both offer excellent location intelligence” Mistral Small · direct prompt · first choice
“Foursquare is a highly recommended location-based and in-store marketing tool for mid-sized B2B companies” Llama 4 Maverick · paraphrase prompt · first choice
What the models said about InMarket
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“settlements against location data sellers like InMarket (2024: banned from selling precise data without consent, forced data deletion)” Grok 4.1 Fast · negative prompt · hard negative
“The best proximity marketing platform for a mid-market B2B company is Inmarket, as it scored highest across the combined criteria” Llama 4 Maverick · direct prompt · first choice
“Need to prove sales impact? Choose InMarket.” Qwen 3.7 Flash · comparative prompt · first choice
“InMarket: best if your company actually runs physical-location campaigns” Perplexity Sonar · direct prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.