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Experimentation and personalization · November 2026 Edition

Personyze vs AB Tasty

Two of fourteen models named Personyze first on the direct prompt; zero named AB Tasty. Personyze was named by nine of the fourteen models and AB Tasty by thirteen and Personyze carries 18 labels and AB Tasty 30, so the shares are not directly comparable.

Personyze

accepted challenger

Named in three categories this edition.

AB Tasty

accepted challenger

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

First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%17%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 14; printed, not drawn.
Labels1830A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Personyze 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 Personyze · VWO vs AB Tasty · Convert Experiences 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.
PersonyzeFirst choices, of fourteen modelsAB Tasty
Direct20
Paraphrase112 against AB Tasty
Comparative01
Budget-constrained001 against AB Tasty
Scale-constrained00
Negative002 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.

Every model, every framing

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

The direct prompt

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

Personyze first, AB Tasty not the choice

2 of 14 modelsAB Tasty was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXPersonyze alternatives: HubSpot Content Hub, Optimizely CMS, Right Message, VWO
MiniMax M2.5Personyze alternatives: Convert Experiences, 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
Gemini 3.5 FlashVWO alternatives: AB Tasty, HubSpot Marketing Hub, Kameleoon
Grok 4.20Croct alternatives: AB Tasty, Kameleoon, VWO
Mistral SmallHubSpot Content Hub alternatives: Optimizely CMS, Personyze, VWO
DeepSeek V4 FlashConvert Experiences, VWO alternatives: Mutiny, Personyze
Kimi K2VWO alternatives: Mutiny, Personyze
GPT-6 LunaVWO alternatives: AB Tasty
Muse Glimmer 30BVWO alternatives: Convert Experiences, Mutiny, Optimizely CMS, Personyze

Neither was named

4 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
Perplexity SonarHubSpot Content Hub alternatives: Abmatic AI, Croct, Mutiny, VWO, Webflow Optimize
Llama 4 MaverickHubSpot Content Hub
Qwen 3.7 FlashVWO alternatives: Convert Experiences, Mutiny

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
Personyze leads by seven points.
Personyze7%#6 of 16
AB Tasty0%#14 of 16
The full small business standing →
Mid-marketThe figures above
Personyze leads by three points.
Personyze5%#4 of 14
AB Tasty2%#7 of 14
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Personyze0%#– of 13
AB Tasty0%#11 of 13
The full enterprise standing →

What the models said about Personyze

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“For most mid-market B2B companies, Personyze is likely the best fit” GLM 4.7 FlashX · direct prompt · first choice
“For a mid-market B2B company, Personyze is the best fit” MiniMax M2.5 · direct prompt · first choice
“would be Convert Experiences, VWO, or Personyze” Llama 4 Maverick · 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.