Index › GTM › Marketing › Experimentation › VWO vs AB Tasty
Experimentation and personalization · November 2026 Edition

VWO vs AB Tasty

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.

VWO

endorsed leader

Named in two categories this edition.

AB Tasty

accepted challenger

Paris, France, founded 2009. Named in one category this edition.

First-choice share31%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%17%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 14; printed, not drawn.
Labels6530A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, VWO reading right to left. Rank and label count are printed, not drawn.VWO vs Convert Experiences · VWO vs GrowthBook · VWO vs Personyze

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.
VWOFirst choices, of fourteen modelsAB Tasty
Direct70
Paraphrase812 against AB Tasty
Comparative41
Budget-constrained103 against VWO · 1 against AB Tasty
Scale-constrained30
Negative006 against VWO · 2 against AB Tasty
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.

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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where VWO and AB Tasty stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
VWO AB Tasty first choice named as an alternative argued againstblank: not namedEach cell is one answer, VWO on the left and AB Tasty on the right.

The direct prompt

The plain question, one answer per model, grouped by where VWO and AB Tasty stood in it.

VWO first, AB Tasty an alternative

7 of 14 modelsAB Tasty was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5VWO alternatives: Mutiny, Personyze
Gemini 3.5 FlashVWO alternatives: AB Tasty, HubSpot Marketing Hub, Kameleoon
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 the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniOptimizely CMS alternatives: Adobe Target, Dynamic Yield, VWO
Perplexity SonarHubSpot Content Hub alternatives: Abmatic AI, Croct, Mutiny, VWO, Webflow Optimize
Grok 4.20Croct alternatives: AB Tasty, Kameleoon, VWO
Mistral SmallHubSpot Content Hub alternatives: Optimizely CMS, Personyze, VWO
GLM 4.7 FlashXPersonyze alternatives: HubSpot Content Hub, Optimizely CMS, Right Message, VWO
MiniMax M2.5Personyze alternatives: Convert Experiences, VWO

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickHubSpot Content Hub

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
VWO leads by twenty-eight points.
VWO28%#1 of 16
AB Tasty0%#14 of 16
The full small business standing →
Mid-marketThe figures above
VWO leads by thirty points.
VWO31%#1 of 14
AB Tasty2%#7 of 14
The full mid-market standing →
Enterprise
VWO leads by two points.
VWO2%#7 of 13
AB Tasty0%#11 of 13
The full enterprise standing →

What the models said about VWO

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

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
Also compared

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.