Zero of fourteen models named GrowthBook first on the direct prompt; zero named Optimizely CMS. GrowthBook was named by twelve of the fourteen models and Optimizely CMS by fourteen and GrowthBook carries 25 labels and Optimizely CMS 55, so the shares are not directly comparable.
Named in two categories this edition.
By Optimizely, San Francisco, United States, founded 2010. Named in eight 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 experimentation and personalization page.
Across every category in the October 2026 Edition, GrowthBook and Optimizely CMS were named in the same answer fifty times, of the 72 answers naming GrowthBook and the 258 naming Optimizely CMS. In those answers Optimizely CMS took the first choice five times and GrowthBook fourteen.
| 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. Five of six in this category shown.
“requiring less technical overhead than developer-heavy solutions like GrowthBook” Qwen 3.7 Flash · paraphrase prompt · soft negative
“Open-source, requires more technical setup” Kimi K2 · scale prompt · soft negative
“GrowthBook and PostHog are free to start, and both are open-source so that you can self-host them, making them excellent choices if you want zero upfront costs.” Claude Haiku 4.5 · budget prompt · first choice
“The Alternative: If your program is engineering-led, opt for server-side testing or warehouse-native platforms (such as GrowthBook, Eppo, or PostHog)” Gemini 3.5 Flash · negative prompt · first choice
“GrowthBook is open-source A/B testing and feature-flagging platform, and it is the pick when budget is your tightest constraint.” Muse Glimmer 30B · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“more enterprise-y, pricier ~$36K/yr min, dev-heavy). Avoid if mid-market budget/timeline constrained.” Grok 4.1 Fast · direct prompt · hard negative
“What to avoid at this size: Optimizely is enterprise and engineering-led... typically overkill” Muse Glimmer 30B · paraphrase prompt · hard negative
“Avoid enterprise tools like Optimizely or Adobe Target—they typically start at $36k+/year.” DeepSeek V4 Flash · budget prompt · hard negative
“I'd lean toward VWO or Optimizely depending on your budget... Optimizely provides more advanced personalization if you have the budget.” Claude Haiku 4.5 · paraphrase prompt · first choice
“Leader in Digital Experience Platforms (DXP)... For Enterprise Organizations: Optimizely, Dynamic Yield, or Monetate offer comprehensive suites” MiniMax M2.5 · comparative prompt · first choice
“The heavyweight, "do-everything" enterprise platform... Recognized as a Leader in the *Gartner Magic Quadrant for Personalization Engines*” Gemini 3.5 Flash · 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.