StackAdapt vs Teads
Twelve of fourteen models named StackAdapt first on the direct prompt; zero named Teads. Both were named by all fourteen models and StackAdapt carries 41 labels and Teads 74, so the shares are not directly comparable.
Named in eight categories this edition.
By Q28872999, New York City, United States, founded 2005. Named in 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 native and content advertising page.
By framing
StackAdaptFirst choices, of fourteen modelsTeads
Across every category in the October 2026 Edition, StackAdapt and Teads were named in the same answer ninety-three times, of the 388 answers naming StackAdapt and the 198 naming Teads. In those answers Teads took the first choice nine times and StackAdapt thirty-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 4.20 | | | | | | |
| 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 Teads first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and Teads on the right.The direct prompt
StackAdapt first, Teads an alternative
12 of 14 modelsTeads was named in the answer but not as the choice, or not at all.Neither was named
2 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
StackAdapt12%#4 of 8Teads4%#6 of 8StackAdapt41%#1 of 9Teads4%#5 of 9What the models said about StackAdapt
No label in this category carried a quote.
What the models said about Teads
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Avoid the "big two" (Taboola/Outbrain)” Kimi K2 · budget prompt · hard negative
“be very careful reading Taboola or Outbrain agreements. They historically include aggressive exclusivity clauses and auto-renewal traps.” Gemini 3.5 Flash · negative prompt · soft negative
“Reputable alternatives (fewer complaints): Outbrain, Taboola (with controls), Sharethrough.” Grok 4.20 · negative prompt · first choice
“Best for: Performance marketing, content-driven brands, premium publisher environments” Kimi K2 · comparative prompt · first choice
“Choose Taboola or Outbrain if you want scale and mainstream publisher reach” Perplexity Sonar · 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.