Gimbal vs GroundTruth
Zero of fourteen models named Gimbal first on the direct prompt; zero named GroundTruth. Gimbal was named by eleven of the fourteen models and GroundTruth by eight and Gimbal carries 16 labels and GroundTruth 11, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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
GimbalFirst choices, of fourteen modelsGroundTruth
Across every category in the October 2026 Edition, Gimbal and GroundTruth were named in the same answer thirteen times, of the 53 answers naming Gimbal and the 39 naming GroundTruth. In those answers GroundTruth took the first choice one time and Gimbal two.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | ||||
| Perplexity Sonar | | | | |||
| Grok 4.1 Fast | | |||||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | | |||||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | | |
Gimbal GroundTruth first choice named as an alternative argued againstblank: not namedEach cell is one answer, Gimbal on the left and GroundTruth on the right.The direct prompt
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.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
GroundTruth9%#2 of 10Gimbal0%#9 of 10Gimbal4%#4 of 11GroundTruth2%#7 of 11What the models said about Gimbal
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“While this is enterprise pricing, the pay-as-you-go model ... can be more cost-effective for smaller deployments.” GLM 4.7 FlashX · budget prompt · soft negative
“Gimbal by Infillion is an enterprise-grade location-based marketing platform that enables large organizations to deliver personalized, automated campaigns at scale” Muse Glimmer 30B · comparative prompt · first choice
“look for platforms that offer a highly optimized Software Development Kit (SDK)—such as *Gimbal (Infillion)*, *Xtremepush*, or *Airship*” Gemini 3.5 Flash · negative prompt · first choice
“Gimbal is the strongest fit among the results because it is positioned as an enterprise-grade location-based marketing platform” Perplexity Sonar · paraphrase prompt · first choice
What the models said about GroundTruth
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Groundtruth around GPS-driven location tracking, so they may be the wrong choice if you need broad proximity marketing” Perplexity Sonar · negative prompt · soft negative
“For most budget-conscious companies looking for a complete platform solution, GroundTruth appears to be the best balance of affordability and functionality” Claude Haiku 4.5 · budget prompt · first choice
“"Inmarket" and "GroundTruth Ads Manager" are highlighted for their governance and oversight features, making them safer choices” Mistral Small · negative prompt · first choice
“look at GroundTruth or Foursquare instead; both offer location-based targeting and store-visit measurement” GPT-6 Luna · paraphrase prompt · alternative
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.