# Experimentation and personalization for enterprise buyers: what AI models recommend, September 2026

GTM AI Recommendation Index, September 2026 Edition. Asked as "website experimentation and personalization platform" and as "A/B testing and personalization tool", six framings each, to twelve models with search on, on behalf of an enterprise B2B company. Page: https://gtm-ai-index.com/marketing/experimentation-and-personalization/enterprise/

**Standing:** Optimizely CMS leads with 45% of first choices; verdict clear leader. 49 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | Optimizely CMS | 45% | 24% | 62 |
| 2 | VWO | 12% | 21% | 53 |
| 3 | Adobe Target | 12% | 31% | 54 |
| 4 | GrowthBook | 8% | 0% | 20 |
| 5 | Kameleoon | 6% | 3% | 30 |
| 6 | Mutiny | 6% | 42% | 12 |
| 7 | Statsig | 2% | 0% | 20 |
| 8 | Convert | 2% | 10% | 10 |
| 9 | Dynamic Yield | 0% | 22% | 32 |
| 10 | AB Tasty | 0% | 27% | 26 |
| 11 | LaunchDarkly | 0% | 21% | 19 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: Mutiny, Optimizely CMS; alternatives Dynamic Yield, Kameleoon
- GPT-5.4 mini: Adobe Target; alternatives Optimizely CMS
- Gemini 3.5 Flash: Optimizely CMS; alternatives Abmatic AI, Kameleoon, VWO
- Perplexity Sonar: Optimizely CMS; alternatives Adobe Target, Kameleoon, Mutiny, VWO
- Grok 4.1 Fast: Optimizely CMS; alternatives AB Tasty, Adobe Target, Kameleoon, VWO
- Mistral Small: Optimizely CMS; alternatives Adobe Target, Dynamic Yield, Kameleoon, Mutiny
- DeepSeek V4 Flash: Mutiny, Optimizely CMS; alternatives Adobe Target
- Llama 4 Maverick: Optimizely CMS
- Qwen 3.7 Flash: Adobe Target; alternatives AB Tasty, Optimizely CMS, VWO
- Kimi K2: Mutiny, Optimizely CMS; alternatives Adobe Target, Intellimize, VWO
- GLM 4.7 FlashX: Optimizely CMS; alternatives Adobe Target, Bloomreach, Dynamic Yield, Salesforce Marketing Cloud Personalization
- MiniMax M2.5: Optimizely CMS; alternatives Adobe Target, Convert Experiences, Kameleoon, VWO

## Sources the answers cite

22 of 72 answers came back with a source list, from 4 of 12 models. Sites named in the most answers:

- vwo.com: 12 answers, 15 citations
- growthbook.io: 6 answers, 14 citations
- guideflow.com: 6 answers, 10 citations
- optimizely.com: 6 answers, 10 citations
- gartner.com: 6 answers, 8 citations
- mida.so: 6 answers, 7 citations
- kameleoon.com: 5 answers, 6 citations
- statsig.com: 4 answers, 10 citations

Pages named in the most answers:

- https://vwo.com/blog/experimentation-platform-guide (6 answers)
- https://kameleoon.com/blog/best-ab-testing-tools (5 answers)
- https://gartner.com/reviews/market/a-b-testing-tools (4 answers)
- https://guideflow.com/blog/best-personalization-software (4 answers)
- https://mida.so/blog/website-personalization-tools (4 answers)
- https://personizely.net/blog/enterprise-personalization-solutions (4 answers)
- https://growthbook.io/insights/best-ab-testing-tools-product-analytics (3 answers)
- https://guideflow.com/blog/ab-testing-tools (3 answers)
- https://guideflow.com/blog/personalization-engines (3 answers)
- https://learn.g2.com/best-a-b-testing-tools (3 answers)

## Warned against

- Adobe Target: 17 of 54 labels negative. "Bundled ecosystem pricing; requires Adobe stack; $50K\u2013$500K+/year; complex usage calculations" (Kimi K2, budget prompt)
- Optimizely CMS: 15 of 62 labels negative. "Platforms to Avoid for Predictable Costs | Optimizely | Quote-only pricing; ... impression-based billing causes overage spikes" (Kimi K2, budget prompt)
- VWO: 11 of 53 labels negative. "VWO is the worst offender for predictability... not ideal for predictable enterprise budgeting" (DeepSeek V4 Flash, budget prompt)
- Dynamic Yield: 7 of 32 labels negative. "Quote-only; ~$35K+/year entry; requires clean product data" (Kimi K2, budget prompt)

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.