Nine of fourteen models named Segment first on the direct prompt; one named Census. Segment was named by fourteen of the fourteen models and Census by five and Segment carries 70 labels and Census 10, so the shares are not directly comparable.
By Twilio, San Francisco, United States, founded 2008. Named in ten categories this edition.
By Fivetran, United States. 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 customer data platforms page.
Across every category in the November 2026 Edition, Segment and Census were named in the same answer 121 times, of the 573 answers naming Segment and the 291 naming Census. In those answers Census took the first choice twenty-three times and Segment six.
| 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. Two of two in this category shown.
“Some CDPs to be cautious about or avoid include Adobe Real-Time CDP and Segment, as they have been labeled as "not recommended"” Llama 4 Maverick · negative prompt · hard negative
“You generally cannot afford enterprise-grade tools like Tealium, Segment (at scale), or BlueConic.” GLM 4.7 FlashX · budget prompt · hard 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.