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Native and content advertising · September 2026 Edition

StackAdapt vs Teads

Seven of twelve models named StackAdapt first on the direct prompt; one named Teads. Both were named by all twelve models and StackAdapt carries 40 labels and Teads 70, so the shares are not directly comparable.

StackAdapt

accepted challenger

Named in nine categories this edition.

Teads

accepted challenger

By Q28872999, New York City, United States, founded 2005. Named in three categories this edition.

First-choice share23%14%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 8; printed, not drawn.
Labels4070A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, StackAdapt reading right to left. Rank and label count are printed, not drawn.Revcontent was named alongside these two in nine of the twelve direct answers. StackAdapt vs MGID · MGID vs Teads

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
StackAdaptFirst choices, of twelve modelsTeads
Direct71
Paraphrase232 against Teads
Comparative14
Budget-constrained012 against StackAdapt · 6 against Teads
Scale-constrained11
Negative408 against Teads
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

The direct prompt

The plain question, one answer per model, grouped by where StackAdapt and Teads stood in it.

StackAdapt first, Teads an alternative

7 of 12 modelsTeads was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashStackAdapt alternatives: AdRoll ABM, Dianomi, LinkedIn Sponsored Content, Taboola, Teads
Perplexity SonarStackAdapt alternatives: LinkedIn Ads/Campaign Manager, MGID, Nativo, Revcontent, Taboola, Teads
Mistral SmallStackAdapt alternatives: MGID, Revcontent, Teads
DeepSeek V4 FlashStackAdapt alternatives: MGID, Revcontent, Taboola, Teads
Kimi K2StackAdapt alternatives: AdRoll ABM, Revcontent, Teads
GLM 4.7 FlashXStackAdapt alternatives: AdRoll ABM, Revcontent
MiniMax M2.5StackAdapt alternatives: AdRoll ABM, MGID, Revcontent

Teads first, StackAdapt an alternative

1 of 12 modelsStackAdapt was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Teads alternatives: AdRoll ABM, Demandbase, StackAdapt, ZoomInfo

Neither was the first choice, one was named

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniLinkedIn Sponsored Content alternatives: StackAdapt, Taboola, Teads
Grok 4.1 FastRevcontent alternatives: MGID, StackAdapt, Taboola
Qwen 3.7 FlashRevcontent alternatives: Nativo, StackAdapt, Teads

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickAbmatic AI alternatives: AdRoll ABM, Revcontent

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
StackAdapt leads by twelve points.
StackAdapt15%#3 of 9
Teads4%#6 of 9
The full small business standing →
Mid-marketThe figures above
StackAdapt leads by nine points.
StackAdapt23%#1 of 8
Teads14%#3 of 8
The full mid-market standing →
Enterprise
StackAdapt leads by six points.
StackAdapt15%#1 of 10
Teads9%#4 of 10
The full enterprise standing →

What the models said about StackAdapt

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Avoid Taboola, Outbrain (now Teads), StackAdapt, and other premium platforms” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid platforms like StackAdapt (~$2,500+/month) initially” MiniMax M2.5 · budget prompt · hard negative

What the models said about Teads

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Platforms to Avoid on a Tight Budget: Outbrain... Running ads with less than this often yields poor results.” Gemini 3.5 Flash · budget prompt · hard negative
“Avoid Taboola, Outbrain (now Teads), StackAdapt, and other premium platforms” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid premium platforms (Taboola, Outbrain) until you validate ROAS” Grok 4.1 Fast · budget prompt · hard negative
“I'd recommend starting with Outbrain Engage for both native advertising and content recommendation widgets” Mistral Small · paraphrase prompt · first choice
“If I had to pick one default recommendation for B2B, I’d lean Outbrain for lead-gen/content-driven campaigns” GPT-5.4 mini · paraphrase prompt · first choice
“Teads offers a cleaner, more brand-safe user experience. It provides a full-funnel approach” Gemini 3.5 Flash · comparative prompt · first choice
Also compared

Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.