Zero of fourteen models named Taboola first on the direct prompt; zero named Teads. Both were named by all fourteen models and Taboola carries 69 labels and Teads 75, so the shares are not directly comparable.
New York City, United States, founded 2007. Named in five categories this edition.
By Q28872999, New York City, United States, founded 2005. Named in five 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.
Across every category in the November 2026 Edition, Taboola and Teads were named in the same answer 206 times, of the 221 answers naming Taboola and the 227 naming Teads. In those answers Teads took the first choice two times and Taboola nineteen.
| 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. Six of seven in this category shown.
“Multiple sources highlight Taboola as a platform with significant concerns, including a high negative share in AI model recommendations and a reputation for low-quality or "clickbait" placements.” Mistral Small · negative prompt · hard negative
“Avoid: Taboola, Outbrain, RevContent, and MGID unless you have strong controls and optimization processes.” GLM 4.7 FlashX · negative prompt · hard negative
“The two are repeatedly called out for low-intent, curiosity-driven traffic and poor transparency.” Muse Glimmer 30B · negative prompt · hard negative
“Content recommendation networks (often called "the duopoly" of native advertising)... Both are leaders in personalized content recommendations” Mistral Small · comparative prompt · first choice
“Prioritize established, premium options like Taboola, Outbrain, TripleLift, Nativo, Yahoo Advertising, or StackAdapt” Grok 4.20 · negative prompt · first choice
“Taboola and Outbrain dominate the content recommendation space with massive reach and premium publisher networks” GLM 4.7 FlashX · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Taboola and Outbrain - Content Recommendation Widgets ... repeatedly called out for low-intent, curiosity-driven traffic and poor transparency” Muse Glimmer 30B · negative prompt · hard negative
“Platforms to Avoid on a Tight Budget - Taboola/Outbrain managed accounts: Often require $3,000–$5,000+/month minimums” Kimi K2 · budget prompt · hard negative
“Platforms to Avoid (or approach carefully) with a Small Budget ... Outbrain: Generally requires a minimum of $600 per month” Qwen 3.7 Flash · budget prompt · hard negative
“Taboola and Outbrain dominate the content recommendation space with massive reach and premium publisher networks” GLM 4.7 FlashX · comparative prompt · first choice
“Outbrain is often preferred by premium publishers and offers advanced AI-driven personalization and higher CTRs” Mistral Small · comparative prompt · first choice
“For Advertisers (Tier 1 / Brand Safe): Taboola, Outbrain, Nativo, TripleLift, Yahoo Native, NewsBreak” Gemini 3.5 Flash · negative 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.