Every category where a model named Foursquare 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
Retail, proximity and IoT marketing	Marketing	6%	3 of 131	4%	26	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Foursquare yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Foursquare across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0	0
GPT-5.4 mini	0	0	0	0	0
Gemini 3.5 Flash	0	0	0	0	0
Perplexity Sonar	0	0	2	0	2
Grok 4.1 Fast	2	2	0	0	4
Mistral Small	2	1	0	0	3
DeepSeek V4 Flash	0	2	1	1	4
Llama 4 Maverick	1	2	1	0	4
Qwen 3.7 Flash	0	2	0	0	2
Kimi K2	1	0	0	0	1
GLM 4.7 FlashX	0	3	0	0	3
MiniMax M2.5	1	2	0	0	3

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

Paraphrase5 labels2

Comparative19 labels6not counted in share

Budget-constrained11 labels1

Scale-constrained5 labels1

Negative5 labels2not counted in share

First choiceAlternativeMentionNegative59 labels in all, every segment counted; 9 of the 17 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.

“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 · Proximity · negative prompt · first choice

“For most mid-market B2B companies: Radar or Foursquare - both offer excellent location intelligence” Mistral Small · Proximity · direct prompt · first choice

“Foursquare is a highly recommended location-based and in-store marketing tool for mid-sized B2B companies” Llama 4 Maverick · Proximity · paraphrase prompt · first choice

“Best overall: Kontakt.io (enterprise) and Foursquare (no-hardware approach)” MiniMax M2.5 · Proximity · comparative 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.

“Caution: Likely overkill for mid-sized B2B teams” DeepSeek V4 Flash · Proximity · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as Foursquare, over the 59 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Foursquare was named but was not.

ProductSame answerTook the first choice insteadHead to head

Radar38 of 597Compare →

Kontakt.io37 of 595Not in the top three

PlotProjects30 of 594Not in the top three

Estimote27 of 592Not in the top three

Bluedot20 of 591Not in the top three

InMarket16 of 592Not in the top three

GroundTruth16 of 591Compare →

Propulso10 of 592Not in the top three

Gimbal9 of 590Not in the top three

Airship8 of 590Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 Foursquare. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 5 of the 59 answers that named Foursquare and are not a share of its labels.

Domains cited

f6s.com5

thecmo.com5

worldmetrics.org5

mobilozophy.com4

skynettechnologies.com4

slashdot.org4

zipdo.co4

clicksgeek.com3

g2.com3

gartner.com3

Forty of the forty domain citations in answers naming Foursquare came from somebody else's page.

Pages cited

f6s.com/software/category/proximity-marketing5

thecmo.com/tools/best-proximity-marketing-software5

mobilozophy.com/products/automation/engagement/proximity-marketing-platform-new4

skynettechnologies.com/beacon-factory4

zipdo.co/best/proximity-advertising-software4

clicksgeek.com/best-local-advertising-platforms3

g2.com/categories/location-based-marketing3

g2.com/categories/mobile-marketing/f/proximity-marketing3

Pages are listed as the models cited them.

The company

Foursquare Labs, Inc. is the company behind Foursquare.

Website: foursquare.com
Headquarters: New York City, United States
Founded: 2009

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase

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 Foursquare'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 Foursquare, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at foursquare.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.