Zero of fourteen models named Omnisend first on the direct prompt; zero named Klaviyo. Omnisend was named by eight of the fourteen models and Klaviyo by thirteen and Omnisend carries 12 labels and Klaviyo 28, so the shares are not directly comparable.
Lithuania, founded 2014. Named in eight categories this edition.
Boston, United States, founded 2012. Named in thirteen 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 mobile marketing and push page.
Across every category in the October 2026 Edition, Omnisend and Klaviyo were named in the same answer 116 times, of the 193 answers naming Omnisend and the 390 naming Klaviyo. In those answers Klaviyo took the first choice eighteen times and Omnisend sixteen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| 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. One of one in this category shown.
“Avoid e-comm focused ones like Omnisend/Klaviyo (better for B2C retail).” Grok 4.1 Fast · paraphrase prompt · hard negative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Attentive and Klaviyo are phenomenal for SMS, but they are built for Shopify/e-commerce. They struggle with B2B data models” Gemini 3.5 Flash · direct prompt · hard negative
“E-commerce powerhouse (Shopify/others); SMS + email automation, personalization via data; high deliverability” Grok 4.1 Fast · 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.