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Session replay and heatmaps · October 2026 Edition

Hotjar vs PostHog

Five of fourteen models named Hotjar first on the direct prompt; two named PostHog. Both were named by all fourteen models and Hotjar carries 62 labels and PostHog 37, so the shares are not directly comparable.

Hotjar

accepted challenger

By Contentsquare, Paris, France, founded 2008. Named in nine categories this edition.

PostHog

accepted challenger

Named in seven categories this edition.

First-choice share16%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 10; printed, not drawn.
Labels6237A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Hotjar reading right to left. Rank and label count are printed, not drawn.Microsoft Clarity vs Hotjar · Microsoft Clarity vs PostHog · Hotjar vs Fullstory

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.
HotjarFirst choices, of fourteen modelsPostHog
Direct521 against Hotjar
Paraphrase31
Comparative40
Budget-constrained012 against Hotjar
Scale-constrained10
Negative0111 against Hotjar · 2 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.

Across every category in the October 2026 Edition, Hotjar and PostHog were named in the same answer 128 times, of the 337 answers naming Hotjar and the 386 naming PostHog. In those answers PostHog took the first choice twenty-eight times and Hotjar two.

Every model, every framing

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

The direct prompt

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

Hotjar first, PostHog an alternative

5 of 14 modelsPostHog was named in the answer but not as the choice, or not at all.
Grok 4.1 FastHotjar alternatives: LogRocket, Microsoft Clarity, Mouseflow
Mistral SmallHotjar, Lucky Orange alternatives: Fullstory, PostHog, UXCam
Qwen 3.7 FlashHotjar alternatives: LogRocket, Matomo
Kimi K2Hotjar alternatives: LogRocket, Mouseflow, Smartlook
GLM 4.7 FlashXHotjar alternatives: Crazy Egg, Fullstory, Microsoft Clarity, Mouseflow

PostHog first, Hotjar an alternative

2 of 14 modelsHotjar 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

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.
Claude Haiku 4.5Mouseflow alternatives: Hotjar
Gemini 3.5 FlashPendo alternatives: LogRocket, Mouseflow, PostHog
Perplexity SonarFullstory alternatives: Hotjar, LogRocket
MiniMax M2.5Mixpanel alternatives: Fullstory, PostHog, UXCam
Muse Glimmer 30BFullstory alternatives: Contentsquare, Heap, Hotjar, Microsoft Clarity, PostHog, VWO

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniContentsquare, Mouseflow alternatives: LogRocket
Llama 4 MaverickSmartlook alternatives: Adobe Analytics, Fullstory

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
Hotjar leads by four points.
Hotjar6%#2 of 10
PostHog2%#5 of 10
The full small business standing →
Mid-marketThe figures above
Hotjar leads by nine points.
Hotjar16%#2 of 10
PostHog7%#4 of 10
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Hotjar2%#9 of 12
PostHog2%#8 of 12
The full enterprise standing →

What the models said about Hotjar

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

“Hotjar was merged into Contentsquare on 1 July 2025; ... By default Hotjar starts session recording as soon as the script loads, which means it can capture visitor activity before consent is given.” Muse Glimmer 30B · negative prompt · hard negative
“Tools to Avoid or Use with Extreme Caution... Hotjar: Most popular heatmap tool, but criticized for capturing more PII than expected” Grok 4.1 Fast · negative prompt · hard negative
“Collects more personal data than most teams realize; has faced significant legal challenges; default settings may not adequately mask PII” Kimi K2 · negative prompt · hard negative
“Pick heatmap-first tools like Hotjar or Clarity if you mainly want quick UX insights and broad behavior patterns.” Perplexity Sonar · comparative prompt · first choice
“Best for: Beginners and small-to-mid-sized teams doing user experience research ... Strength: Fastest setup, easiest to use” DeepSeek V4 Flash · comparative prompt · first choice
“Very popular for UX research and product teams... Strong on heatmaps, recordings/session replay, surveys, and feedback” GPT-5.4 mini · comparative prompt · first choice

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
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.