# Optimizely CMS vs PostHog: which do AI models recommend for experimentation, October 2026

GTM AI Recommendation Index, October 2026 Edition, Experimentation and personalization. Zero of fourteen models named Optimizely CMS first on the direct prompt; zero named PostHog. Page: https://gtm-ai-index.com/marketing/experimentation-and-personalization/optimizely-cms-vs-posthog/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Optimizely CMS | 7% | #5 of 12 | 47% | 55 | 14 of 14 |
| PostHog | 4% | #7 of 12 | 5% | 19 | 11 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: neither first, one named (first choices: VWO) (alternatives: Abmatic AI, Croct, Ploy, PostHog)
- Kimi K2: neither first, one named (first choices: VWO) (alternatives: Intellimize, Mutiny, PostHog)
- GPT-6 Luna: neither first, one named (first choices: VWO) (alternatives: Optimizely CMS)
- Claude Haiku 4.5: neither named (first choices: VWO) (alternatives: Mutiny)
- GPT-5.4 mini: neither named (first choices: Kameleoon) (alternatives: Optimizely Web Experimentation, VWO Testing)
- Perplexity Sonar: neither named (first choices: VWO) (alternatives: Personyze)
- Grok 4.1 Fast: neither named (first choices: VWO) (alternatives: AB Tasty, Convert Experiences, Mutiny)
- Mistral Small: neither named (first choices: Optimizely Web Experimentation, Personyze) (alternatives: Kameleoon)
- DeepSeek V4 Flash: neither named (first choices: Convert Experiences, Mutiny) (alternatives: Abmatic AI, VWO)
- Llama 4 Maverick: neither named (first choices: Optimizely Web Experimentation) (alternatives: HubSpot, Kameleoon, Personyze)
- Qwen 3.7 Flash: neither named (first choices: VWO) (alternatives: AB Tasty, Convert Experiences, Mutiny)
- GLM 4.7 FlashX: neither named (first choices: Mutiny) (alternatives: Abmatic AI, VWO)
- MiniMax M2.5: neither named (first choices: Markettailor, VWO) (alternatives: AB Tasty, Mutiny)
- Muse Glimmer 30B: neither named (first choices: Mutiny, VWO) (alternatives: HubSpot, Kameleoon, Personyze)

## What the models said about Optimizely CMS

- "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)

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. 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.
