GTM AI Index
Index Vendors › GroundTruth · September 2026 Edition
1 category · Ranked

GroundTruth

43Judge labels
5First choices
2Negative labels
11 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
9% in Proximity for mid-market buyers
Rank 2 of 131 in the mid-market standingaccepted challenger
2 of 12 models made it the first choice on the direct prompt; 0% of its 15 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In proximity · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named GroundTruth 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Retail, proximity and IoT marketingMarketing9%2 of 1310%15accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for GroundTruth 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 GroundTruth across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.520002
GPT-5.4 mini00000
Gemini 3.5 Flash02002
Perplexity Sonar00101
Grok 4.1 Fast01001
Mistral Small00101
DeepSeek V4 Flash10102
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX01001
MiniMax M2.511103

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
Direct6 labels2
Paraphrase6 labelsNone
Comparative18 labelsNone
Budget-constrained9 labels3
Scale-constrained1 labelNone
Negative3 labelsNone
First choiceAlternativeMentionNegative43 labels in all, every segment counted; 5 of the 5 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.

“start with GroundTruth (if you want managed campaigns) or Estimote (if you want to deploy your own beacons)” MiniMax M2.5 · Proximity · budget prompt · first choice
“Default choice for mid-market B2B: GroundTruth or StackAdapt for self-serve programmatic geofencing” DeepSeek V4 Flash · Proximity · direct prompt · first choice
“GroundTruth stands out as the most affordable choice for budget-conscious companies.” Claude Haiku 4.5 · Proximity · budget prompt · first choice
“I'd recommend evaluating Simpli.fi, GroundTruth, or Gimbal” Claude Haiku 4.5 · Proximity · direct 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.

No model argued against it.

Named alongside

The products named in the same answers as GroundTruth, over the 43 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and GroundTruth was named but was not.
ProductSame answerTook the first choice insteadHead to head
Kontakt.io23 of 434Not in the top three
Estimote18 of 431Not in the top three
InMarket16 of 432Not in the top three
Gimbal14 of 435Not in the top three
Bluedot14 of 430Not in the top three
PlotProjects13 of 430Not in the top three
Simpli.fi9 of 431Not in the top three
Purple8 of 431Not 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 GroundTruth. 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 8 of the 43 answers that named GroundTruth and are not a share of its labels.

Domains cited

g2.com8
thecmo.com6
f6s.com4
mobilozophy.com4
worldmetrics.org4
gartner.com3
mobileappdaily.com3
reqodata.com3
sourceforge.net3
sphericalinsights.com3

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

Pages cited

Pages are listed as the models cited them.

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 GroundTruth'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 GroundTruth, 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 groundtruth.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.

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