Experimentation and personalization · November 2026 Edition
AB Tasty vs Mutiny
Zero of fourteen models named AB Tasty first on the direct prompt; zero named Mutiny. AB Tasty was named by thirteen of the fourteen models and Mutiny by ten and AB Tasty carries 30 labels and Mutiny 16, so the shares are not directly comparable.
Paris, France, founded 2009. Named in one category this edition.
Named in seven categories this edition.
First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate17%31%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 14; printed, not drawn.
Labels3016A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, AB Tasty reading right to left. Rank and label count are printed, not drawn.VWO was named alongside these two in thirteen of the fourteen direct answers. VWO vs AB Tasty · VWO vs Mutiny · Convert Experiences vs AB Tasty
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.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
AB TastyFirst choices, of fourteen modelsMutiny
Direct002 against Mutiny
Paraphrase112 against AB Tasty · 1 against Mutiny
Comparative10
Budget-constrained001 against AB Tasty
Scale-constrained00
Negative002 against AB Tasty · 2 against Mutiny
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where AB Tasty and Mutiny stood in it.
| 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 | | |
AB Tasty Mutiny first choice named as an alternative argued againstblank: not namedEach cell is one answer, AB Tasty on the left and Mutiny on the right.The direct prompt
The plain question, one answer per model, grouped by where AB Tasty and Mutiny stood in it.
Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5VWO alternatives: Mutiny, Personyze
Gemini 3.5 FlashVWO alternatives: AB Tasty, HubSpot Marketing Hub, Kameleoon
Perplexity SonarHubSpot Content Hub alternatives: Abmatic AI, Croct, Mutiny, VWO, Webflow Optimize
Grok 4.20Croct alternatives: AB Tasty, Kameleoon, VWO
DeepSeek V4 FlashConvert Experiences, VWO alternatives: Mutiny, Personyze
Qwen 3.7 FlashVWO alternatives: Convert Experiences, Mutiny
Kimi K2VWO alternatives: Mutiny, Personyze
GPT-6 LunaVWO alternatives: AB Tasty
Muse Glimmer 30BVWO alternatives: Convert Experiences, Mutiny, Optimizely CMS, Personyze
Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniOptimizely CMS alternatives: Adobe Target, Dynamic Yield, VWO
Mistral SmallHubSpot Content Hub alternatives: Optimizely CMS, Personyze, VWO
Llama 4 MaverickHubSpot Content Hub
GLM 4.7 FlashXPersonyze alternatives: HubSpot Content Hub, Optimizely CMS, Right Message, VWO
MiniMax M2.5Personyze alternatives: Convert Experiences, VWO
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.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
Level: the same share of first choices.
AB Tasty2%#7 of 14Mutiny2%#8 of 14Enterprise
Level: the same share of first choices.
AB Tasty0%#11 of 13Mutiny0%#13 of 13What the models said about AB Tasty
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
What the models said about Mutiny
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“don't shortlist Mutiny for website experimentation: it says its former website-personalization product is no longer what it offers” GPT-6 Luna · direct prompt · hard negative
“Mutiny — avoid for new website-personalization projects: its personalization product was discontinued” Perplexity Sonar · negative prompt · hard negative
“Mutiny (due to its discontinued website personalization product and relaunch as an AI tool)” Llama 4 Maverick · negative prompt · hard negative
“Best Overall for B2B Inbound & ABM: Mutiny” Gemini 3.5 Flash · paraphrase prompt · first choice
Also compared
VWO vs AB TastyVWO vs MutinyConvert Experiences vs AB TastyConvert Experiences vs MutinyGrowthBook vs AB TastyGrowthBook vs MutinyPersonyze vs AB TastyPersonyze vs MutinyOptimizely CMS vs AB TastyOptimizely CMS vs MutinyPostHog vs AB TastyPostHog vs MutinyAll twenty-eight head-to-head pages and the full experimentation standing
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.