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Product analytics · September 2026 Edition

PostHog vs LogRocket

Zero of twelve models named PostHog first on the direct prompt; zero named LogRocket. PostHog was named by twelve of the twelve models and LogRocket by seven and PostHog carries 56 labels and LogRocket 10, so the shares are not directly comparable.

PostHog

accepted challenger

Named in seven categories this edition.

LogRocket

accepted challenger

Named in one category this edition.

First-choice share21%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 8; printed, not drawn.
Labels5610A 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.Amplitude was named alongside these two in eleven of the twelve direct answers. Amplitude vs PostHog · Amplitude vs LogRocket · Mixpanel vs PostHog

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 product analytics page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
PostHogFirst choices, of twelve modelsLogRocket
Direct00
Paraphrase00
Comparative10
Budget-constrained91
Scale-constrained10
Negative202 against PostHog · 1 against LogRocket
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

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

The direct prompt

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

Neither was the first choice, one was named

8 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniAmplitude alternatives: Heap, Mixpanel, PostHog
Gemini 3.5 FlashMixpanel alternatives: Amplitude, Pendo, PostHog
Perplexity SonarMixpanel alternatives: Amplitude, Heap, Pendo, PostHog
Grok 4.1 FastMixpanel alternatives: Amplitude, Pendo, PostHog
Mistral SmallAmplitude Analytics alternatives: Mixpanel, Pendo, PostHog
DeepSeek V4 FlashAmplitude alternatives: Mixpanel, Pendo, PostHog
Kimi K2Amplitude alternatives: Heap, Mixpanel, Pendo, PostHog
GLM 4.7 FlashXMixpanel alternatives: Amplitude, Heap, Pendo, PostHog

Neither was named

4 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Mixpanel alternatives: Amplitude, Heap, June, Pendo
Llama 4 MaverickAmplitude
Qwen 3.7 FlashAmplitude, Pendo alternatives: Heap, Mixpanel
MiniMax M2.5Pendo alternatives: Amplitude, Heap

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 forty-three points.
PostHog43%#1 of 8
LogRocket0%#– of 8
The full small business standing →
Mid-marketThe figures above
PostHog leads by nineteen points.
PostHog21%#3 of 8
LogRocket2%#5 of 8
The full mid-market standing →
Enterprise
Level: the same share of first choices.
PostHog0%#5 of 9
LogRocket0%#– of 9
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. Four of four in this category shown.

“While tools like PostHog are fantastic, choosing to *self-host* them ... can turn into an engineering resource drain.” Gemini 3.5 Flash · negative prompt · soft negative
“Moderate Caution ... Teams prioritizing data ownership → PostHog (self-hosted)” Qwen 3.7 Flash · negative prompt · soft negative
“Choose PostHog if: You have a developer-heavy culture, want to consolidate product analytics, session replays, and feature flags into a single SDK” Gemini 3.5 Flash · scale prompt · first choice
“If you have a technical team and want to get the absolute most value for $0, PostHog is the top choice.” Gemini 3.5 Flash · budget prompt · first choice

What the models said about LogRocket

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

“Session replay tools broadly (FullStory, Hotjar, LogRocket, Smartlook, etc.) - Inherent privacy danger” DeepSeek V4 Flash · negative prompt · soft negative
“such as PostHog, Countly, or LogRocket” Llama 4 Maverick · budget prompt · first choice
“Best for: Developer-focused analytics and debugging” Kimi K2 · comparative prompt · alternative
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.