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Session replay and heatmaps · October 2026 Edition

PostHog vs Contentsquare

Two of fourteen models named PostHog first on the direct prompt; one named Contentsquare. PostHog was named by fourteen of the fourteen models and Contentsquare by twelve and PostHog carries 37 labels and Contentsquare 21, so the shares are not directly comparable.

PostHog

accepted challenger

Named in seven categories this edition.

Contentsquare

accepted challenger

Paris, France, founded 2008. Named in six categories this edition.

First-choice share7%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 10; printed, not drawn.
Labels3721A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, PostHog reading right to left. Rank and label count are printed, not drawn.Hotjar was named alongside these two in ten of the fourteen direct answers. Microsoft Clarity vs PostHog · Microsoft Clarity vs Contentsquare · Hotjar vs PostHog

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 session replay and heatmaps page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PostHogFirst choices, of fourteen modelsContentsquare
Direct212 against Contentsquare
Paraphrase10
Comparative01
Budget-constrained101 against Contentsquare
Scale-constrained01
Negative102 against PostHog
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 PostHog and Contentsquare 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
PostHog Contentsquare first choice named as an alternative argued againstblank: not namedEach cell is one answer, PostHog on the left and Contentsquare on the right.

The direct prompt

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

PostHog first, Contentsquare not the choice

2 of 14 modelsContentsquare was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashPostHog alternatives: Hotjar, LogRocket, Microsoft Clarity, Mouseflow
GPT-6 LunaPostHog alternatives: Fullstory, Hotjar

Contentsquare 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 miniContentsquare, Mouseflow alternatives: LogRocket

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashPendo alternatives: LogRocket, Mouseflow, PostHog
Mistral SmallHotjar, Lucky Orange alternatives: Fullstory, PostHog, UXCam
MiniMax M2.5Mixpanel alternatives: Fullstory, PostHog, UXCam
Muse Glimmer 30BFullstory alternatives: Contentsquare, Heap, Hotjar, Microsoft Clarity, PostHog, VWO

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Mouseflow alternatives: Hotjar
Perplexity SonarFullstory alternatives: Hotjar, LogRocket
Grok 4.1 FastHotjar alternatives: LogRocket, Microsoft Clarity, Mouseflow
Llama 4 MaverickSmartlook alternatives: Adobe Analytics, Fullstory
Qwen 3.7 FlashHotjar alternatives: LogRocket, Matomo
Kimi K2Hotjar alternatives: LogRocket, Mouseflow, Smartlook
GLM 4.7 FlashXHotjar alternatives: Crazy Egg, Fullstory, Microsoft Clarity, Mouseflow

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 two points.
PostHog2%#5 of 10
Contentsquare0%#9 of 10
The full small business standing →
Mid-marketThe figures above
PostHog leads by three points.
PostHog7%#4 of 10
Contentsquare3%#7 of 10
The full mid-market standing →
Enterprise
The order flips: Contentsquare leads at enterprise.
Contentsquare19%#2 of 12
PostHog2%#8 of 12
The full enterprise standing →

What the models said about PostHog

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

“PostHog does offer data scrubbing features, but I was recently surprised to see their announcement about integrating AI to analyze session replays on behalf of users. This raises a red flag” Muse Glimmer 30B · negative prompt · soft negative
“If you enable network capture, scrutinize it separately from replay masking: requests and responses can contain sensitive headers or bodies” GPT-6 Luna · negative prompt · soft negative
“I'd generally recommend PostHog if you want the best balance of visitor behavior analytics, product analytics, and session replay in one place” GPT-5.4 mini · paraphrase prompt · first choice

What the models said about Contentsquare

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

“Heavy enterprise pricing and complexity; overkill for most mid-market needs” Kimi K2 · direct prompt · hard negative
“enterprise tools only if you need deeper product analytics, governance, or enterprise workflows, because they're generally much more expensive” GPT-5.4 mini · budget prompt · soft negative
“without paying the $50k+ annual contract values required by enterprise-only suites (like FullStory or Contentsquare)” Gemini 3.5 Flash · direct prompt · soft negative
“my default recommendation is Contentsquare if you want the most complete, scalable experience-analytics platform” GPT-5.4 mini · direct prompt · first choice
“Go with FullStory or Contentsquare for deep session replay and journey analytics.” GLM 4.7 FlashX · comparative prompt · first choice
“The sweet spot is usually FullStory, Contentsquare, or LogRocket” DeepSeek V4 Flash · scale prompt · first choice
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.