# Optimizely CMS vs Statsig: which do AI models recommend for experimentation, September 2026

GTM AI Recommendation Index, September 2026 Edition, Experimentation and personalization. One of twelve models named Optimizely CMS first on the direct prompt; zero named Statsig. Page: https://gtm-ai-index.com/marketing/experimentation-and-personalization/optimizely-cms-vs-statsig/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Optimizely CMS | 8% | #5 of 14 | 51% | 47 | 12 of 12 |
| Statsig | 4% | #7 of 14 | 14% | 21 | 10 of 12 |

## The direct prompt, model by model

- GPT-5.4 mini: optimizely cms first (first choices: Optimizely CMS) (alternatives: Kameleoon, VWO)
- Claude Haiku 4.5: neither named (first choices: Mutiny) (alternatives: AB Tasty, Abmatic AI, Mida, VWO)
- Gemini 3.5 Flash: neither named (first choices: VWO) (alternatives: Abmatic AI, Markettailor, Userled, Webflow Optimize)
- Perplexity Sonar: neither named (first choices: VWO) (alternatives: Convert, Mutiny)
- Grok 4.1 Fast: neither named (first choices: VWO) (alternatives: Convert Experiences, Kameleoon, Personyze)
- Mistral Small: neither named (first choices: Personyze) (alternatives: Abmatic AI, VWO)
- DeepSeek V4 Flash: neither named (first choices: VWO) (alternatives: Convert Experiences, Kameleoon, Mutiny)
- Llama 4 Maverick: neither named (first choices: Personizely, Personyze, VWO)
- Qwen 3.7 Flash: neither named (first choices: Kameleoon, VWO) (alternatives: Mutiny, Personizely)
- Kimi K2: neither named (first choices: VWO) (alternatives: Intellimize, Mutiny)
- GLM 4.7 FlashX: neither named (first choices: Convert Experiences) (alternatives: Kameleoon, VWO)
- MiniMax M2.5: neither named (first choices: Personizely, Personyze) (alternatives: Convert)

## What the models said about Optimizely CMS

- "Major Structural / Commercial Red Flags ... Optimizely ... Extreme pricing opacity ... Security incidents" (Kimi K2, negative prompt, hard negative)
- "High Cost, Declining Support, Rigid Platform... Be very cautious | Optimizely (for SMB/mid-market)" (DeepSeek V4 Flash, negative prompt, hard negative)
- "Platforms to Avoid or Be Very Cautious About ... 1. Optimizely (Now part of Episerver)" (Mistral Small, negative prompt, hard negative)
- "Deepest experimentation infrastructure - considered the enterprise standard for A/B testing... The most mature experimentation platform" (Mistral Small, comparative prompt, first choice)
- "The category reference point for statistical rigor... Choose Optimizely if: You need the most rigorous experimentation program" (Kimi K2, comparative prompt, first choice)
- "Optimizely — best-in-class statistical rigor + feature experimentation; needs some engineering support; enterprise pricing" (DeepSeek V4 Flash, scale prompt, first choice)

## What the models said about Statsig

- "Proceed with awareness of roadmap ... some product teams have expressed concern over its long-term roadmap" (Gemini 3.5 Flash, negative prompt, soft negative)
- "Major ownership instability ... per-event pricing penalizes experimentation culture" (Kimi K2, negative prompt, soft negative)
- "But require devs (no visual editors), best if you have engineering resources." (Grok 4.1 Fast, budget prompt, soft negative)
- "I'd recommend starting with Statsig if you have technical resources" (GLM 4.7 FlashX, budget prompt, first choice)
- "I'd suggest evaluating Statsig or VWO first" (Kimi K2, scale prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.