One of fourteen models named Convert Experiences first on the direct prompt; one named Optimizely CMS. Convert Experiences was named by thirteen of the fourteen models and Optimizely CMS by fourteen and Convert Experiences carries 41 labels and Optimizely CMS 61, so the shares are not directly comparable.
Named in one category this edition.
By Optimizely, San Francisco, United States, founded 2010. Named in six 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 November 2026 Edition, Convert Experiences and Optimizely CMS were named in the same answer seventy-seven times, of the 93 answers naming Convert Experiences and the 259 naming Optimizely CMS. In those answers Optimizely CMS took the first choice eleven times and Convert Experiences seventeen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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.
“consider Convert or Evergage if you need more advanced capabilities, though these lean more toward the enterprise end of mid-market pricing” Claude Haiku 4.5 · direct prompt · soft negative
“transparent monthly plans from $299/mo billed annually ... That's plan-around pricing but not "limited budget" free.” Muse Glimmer 30B · budget prompt · soft negative
“Convert Experiences and VWO are the top recommendations due to their balance of features, ease of use, and integration capabilities.” Mistral Small · paraphrase prompt · first choice
“For Full-Stack Experimentation (High Tech/Mid-Market): Convert Experiences or Kameleoon. Both are praised for ease of use” Qwen 3.7 Flash · negative prompt · first choice
“Tight budget, marketer-led, low traffic, needs CRM bucketing: Convert Experiences or VWO Experience Optimization.” Muse Glimmer 30B · paraphrase 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.
“you should exercise significant caution with Optimizely, particularly regarding its cost structure, support quality, and technical performance” Qwen 3.7 Flash · negative prompt · hard negative
“Avoid beginning with Optimizely, Adobe Target, Kameleoon, or AB Tasty unless the company has enterprise-level requirements and budget” Perplexity Sonar · budget prompt · hard negative
“Avoid for Mid-Sized B2B (unless budget is large): Optimizely — median spend is ~$81K/year” DeepSeek V4 Flash · paraphrase prompt · hard negative
“Optimizely is among the most common "default shortlists" for companies seeking rigorous testing, large-scale collaboration, and a mature measurement stack.” Claude Haiku 4.5 · comparative prompt · first choice
“Optimizely is described as an industry-leading experimentation platform that enables businesses to test and optimize digital experiences” Muse Glimmer 30B · comparative prompt · first choice
“Choose Optimizely if you want a large enterprise suite with strong experimentation + personalization + analytics integration.” GPT-5.4 mini · 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.