GTM AI Index
Index Marketing Proximity › PlotProjects vs Kontakt.io
Retail, proximity and IoT marketing · September 2026 Edition

PlotProjects vs Kontakt.io

Zero of twelve models named PlotProjects first on the direct prompt; zero named Kontakt.io. PlotProjects was named by nine of the twelve models and Kontakt.io by eleven and PlotProjects carries 20 labels and Kontakt.io 27, so the shares are not directly comparable.

PlotProjects

accepted challenger

Named in one category this edition.

Kontakt.io

accepted challenger

Named in one category this edition.

First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 8; printed, not drawn.
Labels2027A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, PlotProjects reading right to left. Rank and label count are printed, not drawn.Radar was named alongside these two in seven of the twelve direct answers. Radar vs PlotProjects · Radar vs Kontakt.io · GroundTruth vs PlotProjects

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

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
PlotProjectsFirst choices, of twelve modelsKontakt.io
Direct00
Paraphrase00
Comparative03
Budget-constrained302 against Kontakt.io
Scale-constrained01
Negative02
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, PlotProjects and Kontakt.io were named in the same answer twenty-nine times, of the 39 answers naming PlotProjects and the 68 naming Kontakt.io. In those answers Kontakt.io took the first choice seven times and PlotProjects five.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where PlotProjects and Kontakt.io stood in it.
ModelDirectPLParaphrasePLComparativePLBudget-constrainedPLScale-constrainedPLNegativePL
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 FastPLPLPLPL
Mistral SmallPLPL
DeepSeek V4 FlashPLPL
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2PLPL
GLM 4.7 FlashXPLPL
MiniMax M2.5PLPL
PL PlotProjects Kontakt.ioPL first choicePL named as an alternativePL argued againstblank: not namedEach cell is one answer, PlotProjects on the left and Kontakt.io on the right.

The direct prompt

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

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastCleverTap alternatives: PlotProjects, Simpli.fi
Mistral SmallFoursquare, Radar alternatives: CleverTap, Insider, Kontakt.io, Kumulos, PlotProjects
Qwen 3.7 FlashRadar alternatives: Foursquare, Kontakt.io
Kimi K2Radar alternatives: AdRoll ABM, Phunware, PlotProjects

Neither was named

8 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Gimbal, GroundTruth, Simpli.fi
GPT-5.4 miniFoursquare Proximity alternatives: 6sense, Demandbase
Gemini 3.5 FlashUniqode alternatives: Purple, Radar
Perplexity SonarPropensity alternatives: Estimote, InMarket
DeepSeek V4 FlashGroundTruth, StackAdapt alternatives: Hey Sid, InZynk, Radar
Llama 4 MaverickInMarket alternatives: Apollo.io, Foursquare
GLM 4.7 FlashXRadar alternatives: InMarket
MiniMax M2.5Radar

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
PlotProjects leads by ten points.
PlotProjects10%#2 of 7
Kontakt.io0%#7 of 7
The full small business standing →
Mid-marketThe figures above
PlotProjects leads by four points.
PlotProjects6%#4 of 8
Kontakt.io2%#5 of 8
The full mid-market standing →
Enterprise
The order flips: Kontakt.io leads at enterprise.
Kontakt.io5%#5 of 9
PlotProjects0%#– of 9
The full enterprise standing →

What the models said about PlotProjects

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

“Start with PlotProjects (free tier) if you need full beacon and geofencing capabilities” Kimi K2 · budget prompt · first choice
“the best proximity marketing platform is likely PlotProjects' free Developer plan” Grok 4.1 Fast · budget prompt · first choice
“PlotProjects — Best Overall for Budget-Conscious Teams” GLM 4.7 FlashX · budget prompt · first choice

What the models said about Kontakt.io

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

“Avoid: Enterprise tools like Kontakt.io” Grok 4.1 Fast · budget prompt · hard negative
“more of a managed, enterprise-leaning solution, so it's usually not the cheapest choice for a tight budget” GPT-5.4 mini · budget prompt · soft negative
“Kontakt.io (Best Overall) ... Highest overall score (9.6/10) across features, ease of use, and value” GLM 4.7 FlashX · comparative prompt · first choice
“Kontakt.io is considered the best overall platform for indoor location, with a score of 9.6/10.” Llama 4 Maverick · comparative prompt · first choice
“Best overall: Kontakt.io (enterprise) and Foursquare (no-hardware approach)” MiniMax M2.5 · comparative prompt · first choice
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.