Experimentation and personalization · November 2026 Edition
Optimizely CMS vs Mutiny
One of fourteen models named Optimizely CMS first on the direct prompt; zero named Mutiny. Optimizely CMS was named by fourteen of the fourteen models and Mutiny by ten and Optimizely CMS carries 61 labels and Mutiny 16, so the shares are not directly comparable.
By Optimizely, San Francisco, United States, founded 2010. Named in six categories this edition.
Named in seven categories this edition.
First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate46%31%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 14; printed, not drawn.
Labels6116A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Optimizely CMS 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 Optimizely CMS · VWO vs Mutiny · Convert Experiences vs Optimizely CMS
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.
Optimizely CMSFirst choices, of fourteen modelsMutiny
Direct106 against Optimizely CMS · 2 against Mutiny
Paraphrase114 against Optimizely CMS · 1 against Mutiny
Comparative90
Budget-constrained006 against Optimizely CMS
Scale-constrained102 against Optimizely CMS
Negative0010 against Optimizely CMS · 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 Optimizely CMS 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 | | | | |
Optimizely CMS Mutiny first choice named as an alternative argued againstblank: not namedEach cell is one answer, Optimizely CMS on the left and Mutiny on the right.The direct prompt
The plain question, one answer per model, grouped by where Optimizely CMS and Mutiny stood in it.
Optimizely CMS first, Mutiny not the choice
1 of 14 modelsMutiny was named in the answer but not as the choice, or not at all.GPT-5.4 miniOptimizely CMS alternatives: Adobe Target, Dynamic Yield, VWO
Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5VWO alternatives: Mutiny, Personyze
Perplexity SonarHubSpot Content Hub alternatives: Abmatic AI, Croct, Mutiny, VWO, Webflow Optimize
Mistral SmallHubSpot Content Hub alternatives: Optimizely CMS, Personyze, VWO
DeepSeek V4 FlashConvert Experiences, VWO alternatives: Mutiny, Personyze
Qwen 3.7 FlashVWO alternatives: Convert Experiences, Mutiny
Kimi K2VWO alternatives: Mutiny, Personyze
GLM 4.7 FlashXPersonyze alternatives: HubSpot Content Hub, Optimizely CMS, Right Message, VWO
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.Gemini 3.5 FlashVWO alternatives: AB Tasty, HubSpot Marketing Hub, Kameleoon
Grok 4.20Croct alternatives: AB Tasty, Kameleoon, VWO
Llama 4 MaverickHubSpot Content Hub
MiniMax M2.5Personyze alternatives: Convert Experiences, VWO
GPT-6 LunaVWO alternatives: AB Tasty
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
Level: the same share of first choices.
Optimizely CMS3%#10 of 16Mutiny3%#9 of 16Mid-marketThe figures above
Optimizely CMS leads by three points.
Optimizely CMS5%#5 of 14Mutiny2%#8 of 14Enterprise
Optimizely CMS leads by forty-eight points.
Optimizely CMS48%#1 of 13Mutiny0%#13 of 13What the models said about Optimizely CMS
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
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 Optimizely CMSVWO vs MutinyConvert Experiences vs Optimizely CMSConvert Experiences vs MutinyGrowthBook vs Optimizely CMSGrowthBook vs MutinyPersonyze vs Optimizely CMSPersonyze vs MutinyOptimizely CMS vs PostHogOptimizely CMS vs AB TastyPostHog vs MutinyAB Tasty 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.