Optimizely CMS vs AB Tasty
One of fourteen models named Optimizely CMS first on the direct prompt; zero named AB Tasty. Optimizely CMS was named by fourteen of the fourteen models and AB Tasty by thirteen and Optimizely CMS carries 61 labels and AB Tasty 30, so the shares are not directly comparable.
By Optimizely, San Francisco, United States, founded 2010. Named in six 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.
By framing
Optimizely CMSFirst choices, of fourteen modelsAB Tasty
Across every category in the November 2026 Edition, Optimizely CMS and AB Tasty were named in the same answer seventy-one times, of the 259 answers naming Optimizely CMS and the 83 naming AB Tasty. In those answers AB Tasty took the first choice zero times and Optimizely CMS twenty-one.
Every model, every framing
| 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 AB Tasty first choice named as an alternative argued againstblank: not namedEach cell is one answer, Optimizely CMS on the left and AB Tasty on the right.The direct prompt
Optimizely CMS first, AB Tasty not the choice
1 of 14 modelsAB Tasty was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 of 14 modelsThe answer made no first choice from these two in this category.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
Optimizely CMS3%#10 of 16AB Tasty0%#14 of 16Optimizely CMS5%#5 of 14AB Tasty2%#7 of 14Optimizely CMS48%#1 of 13AB Tasty0%#11 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 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
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.