AI Indexes
GTM AI Index
Index › Marketing › Experimentation › VWO vs PostHog
Experimentation and personalization · October 2026 Edition

VWO vs PostHog

Nine of fourteen models named VWO first on the direct prompt; zero named PostHog. VWO was named by thirteen of the fourteen models and PostHog by eleven and VWO carries 56 labels and PostHog 19, so the shares are not directly comparable.

VWO

accepted challenger

Named in two categories this edition.

PostHog

accepted challenger

Named in seven categories this edition.

First-choice share27%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 12; printed, not drawn.
Labels5619A 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.Mutiny was named alongside these two in eight of the fourteen direct answers. VWO vs Convert Experiences · VWO vs GrowthBook · VWO 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.
VWOFirst choices, of fourteen modelsPostHog
Direct901 against PostHog
Paraphrase401 against VWO
Comparative10
Budget-constrained122 against VWO
Scale-constrained10
Negative003 against VWO
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 VWO 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
VWO PostHog first choice named as an alternative argued againstblank: not namedEach cell is one answer, VWO on the left and PostHog on the right.

The direct prompt

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

VWO first, PostHog an alternative

9 of 14 modelsPostHog was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5VWO alternatives: Mutiny
Gemini 3.5 FlashVWO alternatives: Abmatic AI, Croct, Ploy, PostHog
Perplexity SonarVWO alternatives: Personyze
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
GPT-6 LunaVWO alternatives: Optimizely CMS
Muse Glimmer 30BMutiny, VWO alternatives: HubSpot, Kameleoon, Personyze

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashConvert Experiences, Mutiny alternatives: Abmatic AI, VWO
GLM 4.7 FlashXMutiny alternatives: Abmatic AI, VWO

Neither was named

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

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 thirty-three points.
VWO36%#1 of 14
PostHog3%#6 of 14
The full small business standing →
Mid-marketThe figures above
VWO leads by twenty-four points.
VWO27%#1 of 12
PostHog4%#7 of 12
The full mid-market standing →
Enterprise
VWO leads by seven points.
VWO7%#4 of 11
PostHog0%#– of 11
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.

“Any visual-editor-first platform—including products from vendors such as VWO, AB Tasty, or Optimizely—if your site is a complex single-page app” GPT-6 Luna · negative prompt · soft negative
“VWO has phased out its permanently free Starter plan, moving to a 30-day trial model with paid plans starting around $200 to $300+/month.” Gemini 3.5 Flash · budget prompt · soft negative
“Some users report pricing scalability issues - Occasional technical glitches - Learning curve for complex tests” GLM 4.7 FlashX · negative prompt · soft negative
“Great mid-market option. Very strong visual editor... Highly competitive pricing. (If Marketing: prioritize VWO/Kameleoon.” Gemini 3.5 Flash · scale prompt · first choice
“the most commonly recommended A/B testing and personalization tools are Convert Experiences and VWO” Mistral Small · paraphrase prompt · first choice
“Choose VWO if you want the best bang-for-your-buck and need analytics (heatmaps) along with your testing.” Qwen 3.7 Flash · 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.