AI Indexes
GTM AI Index
Index › Marketing › Proximity › Braze vs PlotProjects
Retail, proximity and IoT marketing · October 2026 Edition

Braze vs PlotProjects

One of fourteen models named Braze first on the direct prompt; zero named PlotProjects. Braze was named by seven of the fourteen models and PlotProjects by six and Braze carries 18 labels and PlotProjects 10, so the shares are not directly comparable.

Braze

accepted challenger

New York City, United States, founded 2011. Named in eleven categories this edition.

PlotProjects

accepted challenger

Named in one category this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate22%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 11; printed, not drawn.
Labels1810A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Braze reading right to left. Rank and label count are printed, not drawn.Foursquare Proximity was named alongside these two in eight of the fourteen direct answers. Foursquare Proximity vs Braze · Foursquare Proximity vs PlotProjects · Radar vs Braze

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; every quote names the model and the prompt it came from. Both figures come from the retail, proximity and iot marketing page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
BrazeFirst choices, of fourteen modelsPlotProjects
Direct10
Paraphrase00
Comparative10
Budget-constrained014 against Braze
Scale-constrained10
Negative101 against PlotProjects
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Braze and PlotProjects stood in it.
ModelDirectPLParaphrasePLComparativePLBudget-constrainedPLScale-constrainedPLNegativePL
Claude Haiku 4.5
GPT-5.4 miniPL
Gemini 3.5 FlashPL
Perplexity SonarPLPL
Grok 4.1 Fast
Mistral Small
DeepSeek V4 FlashPLPL
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
BrazePL PlotProjects first choice named as an alternative argued againstblank: not namedEach cell is one answer, Braze on the left and PlotProjects on the right.

The direct prompt

The plain question, one answer per model, grouped by where Braze and PlotProjects stood in it.

Braze first, PlotProjects not the choice

1 of 14 modelsPlotProjects was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXBraze alternatives: CleverTap, Foursquare Proximity, SAP Engagement Cloud

Neither was named

13 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5HubSpot Marketing Hub alternatives: AdRoll ABM, DemandScience, Mapsted, Terminus
GPT-5.4 miniDemandbase alternatives: Bluedot, Foursquare Proximity, Gimbal
Gemini 3.5 FlashPropensity alternatives: GroundTruth, Qujam, StackAdapt
Perplexity SonarFoursquare Proximity alternatives: Insider
Grok 4.1 FastInMarket alternatives: Foursquare Proximity, Radar
Mistral SmallRadar alternatives: InMarket, Kontakt.io
DeepSeek V4 FlashFoursquare Proximity alternatives: Gimbal, GroundTruth, InMarket
Llama 4 Maverickno first choice
Qwen 3.7 FlashRuuf alternatives: Foursquare Proximity, Push.io, Wrebby
Kimi K2InMarket alternatives: Foursquare Proximity, Radar
MiniMax M2.5no first choice alternatives: Hey Sid, Propensity
GPT-6 LunaPropensity alternatives: Radar, Shared Audiences
Muse Glimmer 30BKontakt.io alternatives: Foursquare Proximity, Gimbal, Uniqode

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
Braze0%#10 of 10
PlotProjects0%#6 of 10
The full small business standing →
Mid-marketThe figures above
Braze leads by two points.
Braze4%#5 of 11
PlotProjects2%#8 of 11
The full mid-market standing →
Enterprise
Braze leads by eight points.
Braze8%#– of 6
PlotProjects0%#– of 6
The full enterprise standing →

What the models said about Braze

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“Avoid: Enterprise tools like Braze/CleverTap (great but $100s+/month post-trial)” Grok 4.1 Fast · budget prompt · hard negative
“Braze (Best for Omnichannel Journeys)... Braze is a leading customer engagement platform that integrates native geofencing capabilities.” GLM 4.7 FlashX · comparative prompt · first choice
“Braze — Strong geofencing, excellent omnichannel campaign orchestration, enterprise-grade, large partner ecosystem.” DeepSeek V4 Flash · scale prompt · first choice

What the models said about PlotProjects

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“can make them a poor fit if you want a simple plug-and-play marketing tool” Perplexity Sonar · negative prompt · soft negative
“I'd start with PlotProjects if you need actual proximity marketing, because it's surfaced as a strong small-business geofencing option” GPT-5.4 mini · budget prompt · first choice
“PlotProjects — Strong beacon-triggered campaigns and indoor venue layouts if you have physical venues.” DeepSeek V4 Flash · scale prompt · alternative
“Choose PlotProjects, Estimote, or Purple if you need in-venue experiences tied to beacons” Perplexity Sonar · comparative prompt · alternative
Also compared

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.