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

Kameleoon vs PostHog

One of fourteen models named Kameleoon first on the direct prompt; zero named PostHog. Kameleoon was named by thirteen of the fourteen models and PostHog by eleven and Kameleoon carries 31 labels and PostHog 19, so the shares are not directly comparable.

Kameleoon

accepted challenger

By Q56318461, Paris, France, founded 2012. Named in one category this edition.

PostHog

accepted challenger

Named in seven categories this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 12; printed, not drawn.
Labels3119A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Kameleoon 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 Kameleoon · VWO vs PostHog · Convert Experiences vs Kameleoon

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.
KameleoonFirst choices, of fourteen modelsPostHog
Direct101 against PostHog
Paraphrase00
Comparative10
Budget-constrained02
Scale-constrained10
Negative00
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 Kameleoon 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
Kameleoon PostHog first choice named as an alternative argued againstblank: not namedEach cell is one answer, Kameleoon on the left and PostHog on the right.

The direct prompt

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

Kameleoon first, PostHog not the choice

1 of 14 modelsPostHog was named in the answer but not as the choice, or not at all.
GPT-5.4 miniKameleoon alternatives: Optimizely Web Experimentation, VWO Testing

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashVWO alternatives: Abmatic AI, Croct, Ploy, PostHog
Mistral SmallOptimizely Web Experimentation, Personyze alternatives: Kameleoon
Llama 4 MaverickOptimizely Web Experimentation alternatives: HubSpot, Kameleoon, Personyze
Kimi K2VWO alternatives: Intellimize, Mutiny, PostHog
Muse Glimmer 30BMutiny, VWO alternatives: HubSpot, Kameleoon, Personyze

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5VWO alternatives: Mutiny
Perplexity SonarVWO alternatives: Personyze
Grok 4.1 FastVWO alternatives: AB Tasty, Convert Experiences, Mutiny
DeepSeek V4 FlashConvert Experiences, Mutiny alternatives: Abmatic AI, VWO
Qwen 3.7 FlashVWO alternatives: AB Tasty, Convert Experiences, Mutiny
GLM 4.7 FlashXMutiny alternatives: Abmatic AI, VWO
MiniMax M2.5Markettailor, VWO alternatives: AB Tasty, Mutiny
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
PostHog leads by three points.
PostHog3%#6 of 14
Kameleoon0%#10 of 14
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Kameleoon4%#6 of 12
PostHog4%#7 of 12
The full mid-market standing →
Enterprise
The order flips: Kameleoon leads at enterprise.
Kameleoon3%#6 of 11
PostHog0%#– of 11
The full enterprise standing →

What the models said about Kameleoon

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

“Kameleoon combines web experimentation, personalization, prompt-based (AI) experimentation, and feature experimentation within a single platform.” Llama 4 Maverick · comparative prompt · first choice
“Excellent balance of client-side and server-side testing. Very strong on privacy/GDPR” Gemini 3.5 Flash · scale prompt · first choice
“my default recommendation is Kameleoon” GPT-5.4 mini · direct prompt · first choice

What the models said about PostHog

No label in this category carried a quote.

Also compared
VWO vs KameleoonVWO vs PostHogConvert Experiences vs KameleoonConvert Experiences vs PostHogGrowthBook vs KameleoonGrowthBook vs PostHogMutiny vs KameleoonMutiny vs PostHogOptimizely CMS vs KameleoonOptimizely CMS vs PostHogAll twenty-one 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.