# VWO vs Mutiny: which do AI models recommend for experimentation, October 2026

GTM AI Recommendation Index, October 2026 Edition, Experimentation and personalization. Nine of fourteen models named VWO first on the direct prompt; three named Mutiny. Page: https://gtm-ai-index.com/marketing/experimentation-and-personalization/vwo-vs-mutiny/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| VWO | 27% | #1 of 12 | 11% | 56 | 13 of 14 |
| Mutiny | 7% | #4 of 12 | 22% | 18 | 10 of 14 |

## The direct prompt, model by model

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

## What the models said about VWO

- "Any visual-editor-first platform—including products from vendors such as VWO, AB Tasty, or Optimizely—if your site is a complex single-page app" (GPT-6 Luna, negative prompt, soft negative)
- "VWO has phased out its permanently free Starter plan, moving to a 30-day trial model with paid plans starting around $200 to $300+/month." (Gemini 3.5 Flash, budget prompt, soft negative)
- "Some users report pricing scalability issues - Occasional technical glitches - Learning curve for complex tests" (GLM 4.7 FlashX, negative prompt, soft negative)
- "Great mid-market option. Very strong visual editor... Highly competitive pricing. (If Marketing: prioritize VWO/Kameleoon." (Gemini 3.5 Flash, scale prompt, first choice)
- "the most commonly recommended A/B testing and personalization tools are Convert Experiences and VWO" (Mistral Small, paraphrase prompt, first choice)
- "Choose VWO if you want the best bang-for-your-buck and need analytics (heatmaps) along with your testing." (Qwen 3.7 Flash, direct prompt, first choice)

## What the models said about Mutiny

- "Mutiny officially discontinued its website-personalization product on April 8, 2026, pivoting to an AI GTM content tool" (Gemini 3.5 Flash, direct prompt, hard negative)
- "don't evaluate Mutiny as a traditional website A/B-testing platform" (GPT-6 Luna, direct prompt, hard negative)
- "Important Context: Avoid Mutiny" (Kimi K2, paraphrase prompt, hard negative)
- "Choose Mutiny if your primary need is showing different content to different companies/industries" (DeepSeek V4 Flash, direct prompt, first choice)
- "Mutiny is repeatedly called out for mid-sized B2B." (Muse Glimmer 30B, direct prompt, first choice)
- "Mutiny is the most practical, proven choice." (GLM 4.7 FlashX, direct 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.