InMarket vs GroundTruth
Two of fourteen models named InMarket first on the direct prompt; zero named GroundTruth. InMarket was named by eight of the fourteen models and GroundTruth by eight and both carry 11 labels, so the shares below are directly comparable.
Named in five categories 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
InMarketFirst choices, of fourteen modelsGroundTruth
Across every category in the October 2026 Edition, InMarket and GroundTruth were named in the same answer eight times, of the 31 answers naming InMarket and the 39 naming GroundTruth. In those answers GroundTruth took the first choice zero times and InMarket zero.
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 |
InMarket GroundTruth first choice named as an alternative argued againstblank: not namedEach cell is one answer, InMarket on the left and GroundTruth on the right.The direct prompt
InMarket first, GroundTruth not the choice
2 of 14 modelsGroundTruth was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
9 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 10InMarket0%#– of 10InMarket4%#6 of 11GroundTruth2%#7 of 11GroundTruth2%#5 of 6InMarket0%#– of 6What the models said about InMarket
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“The FTC has taken action against location-data companies like InMarket, Kochava, and X-Mode/Outlogic over precisely those kinds of practices.” GPT-5.4 mini · negative prompt · hard negative
“"Inmarket" and "GroundTruth Ads Manager" are highlighted for their governance and oversight features, making them safer choices” Mistral Small · negative prompt · first choice
“InMarket (Top Pick for Mid-Market B2B) ... Frequently ranked #1 for mid-market proximity marketing” Grok 4.1 Fast · direct prompt · first choice
“InMarket (GeoLink) — *Best Overall for Mid-Market B2B*” Kimi K2 · direct 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.