GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index Marketing September 2026 Edition

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. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing
Contested
19% of first choices, contested.

01The 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 rateLabelsQuadrant
01Radar19%7%30accepted challenger
02GroundTruth9%0%15accepted challenger
03Foursquare6%4%26accepted challenger
04PlotProjects6%0%20accepted challenger
05Kontakt.io2%7%27accepted challenger
06Estimote2%5%21accepted challenger
07InMarket2%10%10accepted challenger
Show the one product at 0%, ordered by negative rate
08Bluedot0%8%13accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

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 →
01
02
03
P04
05
06
07
08
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Radar19%
02GroundTruth9%
03Foursquare6%
04PlotProjects6%
05Kontakt.io2%
06Estimote2%
07InMarket2%
08Bluedot0%

02What 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.
Simpli.fi
43%
3 of 7 labels negative · 3 of 6 models
“Most major geofencing ad networks (like Simpli.fi) require minimum monthly spends of $10,000+” Gemini 3.5 Flash, budget prompt
Gravy Analytics / Venntel
100%
2 of 2 labels negative · 2 of 6 models · 2 hard negative
“(2025: prohibited from sensitive location sales, e.g., near health facilities or worship sites)” Grok 4.1 Fast, negative prompt
Kochava / Collective Data Solutions
100%
2 of 2 labels negative · 2 of 6 models · 2 hard negative
“Banned from selling sensitive location data without affirmative express consent (FTC settlement, May 2026)” Kimi K2, negative prompt
Mobilewalla
100%
2 of 2 labels negative · 2 of 6 models · 2 hard negative
“Banned from selling sensitive location data; must delete historic data and implement consent verification programs” Kimi K2, negative prompt

03What they cite

Citations exist only for the models that return a source list: four of the six in this edition.

Sites the answers cite

22 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 216 links across 115 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.

8 answers · 12 citations · 3 models
7 answers · 9 citations · 2 models
5 answers · 7 citations · 1 model
4 answers · 6 citations · 1 model
vendor site · Gartner4 answers · 5 citations · 2 models
4 answers · 4 citations · 2 models
4 answers · 4 citations · 2 models
4 answers · 4 citations · 2 models
3 answers · 5 citations · 1 model
3 answers · 4 citations · 2 models
vendor site · CleverTap3 answers · 3 citations · 1 model
vendor site · Guideflow3 answers · 3 citations · 2 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.

04How 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.
ModelDirect“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

05The 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.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings
None. Every name in this category resolved on its own.
Unresolved, counted raw
AirDroid Business
Aruba Networks (HPE)
Beacon Platform Inc.
Blippar
BoothIQ
Bullseye Store Locator
CIENCE
Coupontools
Dashmote
Flowcode
Foursquare Audience
Geolid
Gimbal, Inc.
HPE Aruba Networking
HyperTrack
InMarket Media / X-Mode Social (Outlogic)
IndoorAtlas
Interact Retail
LastMile Retail
MediaFlow / Pygmalios
Niantic
OK Located
Phunware
PlaceIQ
Proxi.cloud
ProxiCall
Pulse
QR Tiger
Radar.io
RetailNext / Euclid Analytics
Royaltie Gem (rebranded as Nowsite)
Social Media Advertising (Meta/Facebook)
Sourcewiz
SphereScout
Store360
Storemapper
Synup
Urban Airship
Vusion
Walkbase (now part of Scandit)
myfairtool
Discontinued, still offered
No shut-down product was recommended here.
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