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Index › Marketing › Experimentation › Mutiny vs PostHog
Experimentation and personalization · October 2026 Edition

Mutiny vs PostHog

Three of fourteen models named Mutiny first on the direct prompt; zero named PostHog. Mutiny was named by ten of the fourteen models and PostHog by eleven and Mutiny carries 18 labels and PostHog 19, so the shares are not directly comparable.

Mutiny

accepted challenger

Named in four categories this edition.

PostHog

accepted challenger

Named in seven categories this edition.

First-choice share7%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate22%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 12; printed, not drawn.
Labels1819A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Mutiny reading right to left. Rank and label count are printed, not drawn.VWO was named alongside these two in eleven of the fourteen direct answers. VWO vs Mutiny · VWO vs PostHog · Convert Experiences vs Mutiny

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.
MutinyFirst choices, of fourteen modelsPostHog
Direct302 against Mutiny · 1 against PostHog
Paraphrase101 against Mutiny
Comparative00
Budget-constrained02
Scale-constrained00
Negative001 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 Mutiny and PostHog stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
Mutiny PostHog first choice named as an alternative argued againstblank: not namedEach cell is one answer, Mutiny on the left and PostHog on the right.

The direct prompt

The plain question, one answer per model, grouped by where Mutiny and PostHog stood in it.

Mutiny first, PostHog not the choice

3 of 14 modelsPostHog was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashConvert Experiences, Mutiny alternatives: Abmatic AI, VWO
GLM 4.7 FlashXMutiny alternatives: Abmatic AI, VWO
Muse Glimmer 30BMutiny, VWO alternatives: HubSpot, Kameleoon, 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.
Claude Haiku 4.5VWO alternatives: Mutiny
Gemini 3.5 FlashVWO alternatives: Abmatic AI, Croct, Ploy, PostHog
Grok 4.1 FastVWO alternatives: AB Tasty, Convert Experiences, Mutiny
Qwen 3.7 FlashVWO alternatives: AB Tasty, Convert Experiences, Mutiny
Kimi K2VWO alternatives: Intellimize, Mutiny, PostHog
MiniMax M2.5Markettailor, VWO alternatives: AB Tasty, Mutiny

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniKameleoon alternatives: Optimizely Web Experimentation, VWO Testing
Perplexity SonarVWO alternatives: Personyze
Mistral SmallOptimizely Web Experimentation, Personyze alternatives: Kameleoon
Llama 4 MaverickOptimizely Web Experimentation alternatives: HubSpot, Kameleoon, Personyze
GPT-6 LunaVWO alternatives: Optimizely CMS

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
Mutiny leads by two points.
Mutiny5%#5 of 14
PostHog3%#6 of 14
The full small business standing →
Mid-marketThe figures above
Mutiny leads by four points.
Mutiny7%#4 of 12
PostHog4%#7 of 12
The full mid-market standing →
Enterprise
Mutiny leads by ten points.
Mutiny10%#3 of 11
PostHog0%#– of 11
The full enterprise standing →

What the models said about Mutiny

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

“Mutiny officially discontinued its website-personalization product on April 8, 2026, pivoting to an AI GTM content tool” Gemini 3.5 Flash · direct prompt · hard negative
“don't evaluate Mutiny as a traditional website A/B-testing platform” GPT-6 Luna · direct prompt · hard negative
“Important Context: Avoid Mutiny” Kimi K2 · paraphrase prompt · hard negative
“Choose Mutiny if your primary need is showing different content to different companies/industries” DeepSeek V4 Flash · direct prompt · first choice
“Mutiny is repeatedly called out for mid-sized B2B.” Muse Glimmer 30B · direct prompt · first choice
“Mutiny is the most practical, proven choice.” GLM 4.7 FlashX · direct prompt · first choice

What the models said about PostHog

No label in this category carried a quote.

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.