One of fourteen models named Convert Experiences first on the direct prompt; zero named PostHog. Convert Experiences was named by fourteen of the fourteen models and PostHog by eleven and Convert Experiences carries 33 labels and PostHog 19, so the shares are not directly comparable.
Named in one category this edition.
Named in seven 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.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| 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. Three of four in this category shown.
“I would recommend Convert.com (Convert Experiences) as the A/B testing and personalization tool for a mid-sized B2B company.” Llama 4 Maverick · paraphrase prompt · first choice
“I'd recommend Convert Experiences (also known as Convert.com) as the top A/B testing and personalization tool.” Grok 4.1 Fast · paraphrase prompt · first choice
“the most commonly recommended A/B testing and personalization tools are Convert Experiences and VWO” Mistral Small · paraphrase prompt · first choice
No label in this category carried a quote.
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.