StackAdapt vs Demandbase
Eleven of fourteen models named StackAdapt first on the direct prompt; zero named Demandbase. Both were named by all fourteen models and StackAdapt carries 60 labels and Demandbase 28, so the shares are not directly comparable.
Named in eight categories this edition.
San Francisco, United States, founded 2006. Named in twenty-four categories 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 programmatic and display advertising page.
By framing
StackAdaptFirst choices, of fourteen modelsDemandbase
Across every category in the October 2026 Edition, StackAdapt and Demandbase were named in the same answer eighty-nine times, of the 388 answers naming StackAdapt and the 692 naming Demandbase. In those answers Demandbase took the first choice twelve times and StackAdapt forty-one.
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 4.20 | | | | | ||
| 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 | | | | |
StackAdapt Demandbase first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and Demandbase on the right.The direct prompt
StackAdapt first, Demandbase an alternative
11 of 14 modelsDemandbase was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
StackAdapt43%#1 of 15Demandbase4%#7 of 15StackAdapt48%#1 of 13Demandbase3%#4 of 13Demandbase24%#2 of 10StackAdapt6%#4 of 10What the models said about StackAdapt
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Good self-serve option too, but it's generally positioned more as an advanced multichannel DSP with custom usage-based pricing rather than an obviously low-entry-budget tool.” GPT-5.4 mini · budget prompt · soft negative
“often considered by smaller teams, but I'd want to verify your exact use case before recommending it over The Trade Desk or Demandbase” GPT-5.4 mini · direct prompt · soft negative
“strong for smaller agencies, but the budget guidance in the results suggests it is better once spend is a bit higher” Perplexity Sonar · budget prompt · soft negative
What the models said about Demandbase
No label in this category carried a quote.
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.