StackAdapt vs Acast
Eight of fourteen models named StackAdapt first on the direct prompt; one named Acast. StackAdapt was named by thirteen of the fourteen models and Acast by fourteen and StackAdapt carries 28 labels and Acast 45, so the shares are not directly comparable.
Named in seven 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 audio and podcast advertising page.
By framing
StackAdaptFirst choices, of fourteen modelsAcast
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 Acast first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and Acast on the right.The direct prompt
StackAdapt first, Acast an alternative
8 of 14 modelsAcast was named in the answer but not as the choice, or not at all.Acast first, StackAdapt not the choice
1 of 14 modelsStackAdapt was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
StackAdapt24%#2 of 11Acast10%#4 of 11StackAdapt32%#1 of 12Acast4%#5 of 12What the models said about StackAdapt
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
What the models said about Acast
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“managed/host-read campaigns jump to $10k–$15k with mixed ROI reports... can feel overpriced for smaller advertisers” Grok 4.20 · negative prompt · soft negative
“can sometimes lead to brand safety concerns if not properly managed” Mistral Small · negative prompt · soft negative
“Slightly higher barrier than AudioGo or Spotify” DeepSeek V4 Flash · budget prompt · soft negative
“Acast is widely considered the strongest platform for advertisers who want their audio ads to appear across almost every podcast listener's device” Qwen 3.7 Flash · comparative prompt · first choice
“Acast — Offers AI transcript analysis, pre-bid verification, and episode-level contextual controls across 140,000+ shows.” GLM 4.7 FlashX · negative prompt · first choice
“For most advertisers, Acast is the strongest overall podcast advertising platform in 2026” Muse Glimmer 30B · comparative prompt · first choice
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.