Eight of fourteen models named StackAdapt first on the direct prompt; one named The Trade Desk. StackAdapt was named by thirteen of the fourteen models and The Trade Desk by nine and StackAdapt carries 28 labels and The Trade Desk 15, so the shares are not directly comparable.
Named in seven categories this edition.
By Trade Desk, Ventura, United States, founded 2009. Named in ten 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 audio and podcast advertising page.
Across every category in the November 2026 Edition, StackAdapt and The Trade Desk were named in the same answer 211 times, of the 418 answers naming StackAdapt and the 393 naming The Trade Desk. In those answers The Trade Desk took the first choice thirty-seven times and StackAdapt seventy-four.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“enterprise platforms such as AdsWizz, StackAdapt, SoundStack, and similar systems—when they provide only aggregated reports” Perplexity Sonar · negative prompt · soft negative
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.