Seven of fourteen models named VWO first on the direct prompt; zero named AB Tasty. VWO was named by fourteen of the fourteen models and AB Tasty by thirteen and VWO carries 65 labels and AB Tasty 30, so the shares are not directly comparable.
Named in two categories this edition.
Paris, France, founded 2009. Named in one category 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, VWO and AB Tasty were named in the same answer sixty-eight times, of the 167 answers naming VWO and the 83 naming AB Tasty. In those answers AB Tasty took the first choice two times and VWO fifteen.
| 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. Six of eight in this category shown.
“Avoid VWO if page speed and user trust are critical, or if you have limited technical support.” GLM 4.7 FlashX · negative prompt · hard negative
“the reliability and support issues make it risky for serious experimentation” DeepSeek V4 Flash · negative prompt · hard negative
“its current pricing page directs buyers to request a demo rather than showing a price, so it may be harder to budget for upfront” GPT-6 Luna · budget prompt · soft negative
“platforms like VWO or Optimizely are commonly considered in this middle market, depending on whether you prioritize faster time-to-value (VWO)” Claude Haiku 4.5 · scale prompt · first choice
“The Best All-Rounder: VWO (Visual Website Optimizer) ... widely considered the best balance of power and usability for mid-sized companies” Qwen 3.7 Flash · paraphrase 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.
“Avoid beginning with Optimizely, Adobe Target, Kameleoon, or AB Tasty” Perplexity Sonar · budget prompt · hard negative
“AB Tasty — solid but enterprise-focused and custom-priced” DeepSeek V4 Flash · paraphrase prompt · hard negative
“Complaints include dev dependency and EU GDPR exposure for real-time decisions. Be cautious for long-term commitments amid the rebrand.” Grok 4.20 · negative prompt · soft negative
“I'd recommend starting with AB Tasty if personalization and ease of use are priorities” Claude Haiku 4.5 · paraphrase prompt · first choice
“start with Optimizely, VWO, or AB Tasty” GPT-6 Luna · comparative prompt · first choice
“Choose it if personalization is the primary objective... generally positioned more toward enterprise and custom-quote engagements.” Perplexity Sonar · paraphrase prompt · alternative
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.