PostHog vs Google Analytics 4
Zero of twelve models named PostHog first on the direct prompt; zero named Google Analytics 4. Both were named by all twelve models and PostHog carries 56 labels and Google Analytics 4 23, so the shares are not directly comparable.
Named in seven categories this edition.
By Google Search, United States, founded 1997. Named in fourteen categories this edition.
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
PostHogFirst choices, of twelve modelsGoogle Analytics 4
Across every category in the September 2026 Edition, PostHog and Google Analytics 4 were named in the same answer seventy-nine times, of the 257 answers naming PostHog and the 274 naming Google Analytics 4. In those answers Google Analytics 4 took the first choice seven times and PostHog thirty-four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 Google Analytics 4 first choice named as an alternative argued againstblank: not namedEach cell is one answer, PostHog on the left and Google Analytics 4 on the right.The direct prompt
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.Neither was named
4 of 12 modelsThe answer made no first choice from these two in this category.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
PostHog43%#1 of 8Google Analytics 44%#5 of 8PostHog21%#3 of 8Google Analytics 42%#6 of 8PostHog0%#5 of 9Google Analytics 40%#9 of 9What 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 Google Analytics 4
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Avoid GA4 for EU-based products or if you need product-level insights (it's marketing-focused)” MiniMax M2.5 · negative prompt · hard negative
“Thin product analytics: Optimized for marketing/attribution rather than product behavior” Qwen 3.7 Flash · negative prompt · hard negative
“Not ideal for actual product analytics due to data sampling and cardinality thresholding” Llama 4 Maverick · negative prompt · hard negative
“For a tight budget, start with Google Analytics 4 (if web-focused) or Statsig (if you need product analytics beyond web tracking)” MiniMax M2.5 · budget prompt · first choice
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.