Zero of fourteen models named Google Analytics 4 first on the direct prompt; zero named PostHog. Google Analytics 4 was named by thirteen of the fourteen models and PostHog by six and Google Analytics 4 carries 32 labels and PostHog 11, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in seventeen categories this edition.
Named in nine categories this edition.
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 customer intelligence and data science page.
Across every category in the November 2026 Edition, Google Analytics 4 and PostHog were named in the same answer 145 times, of the 559 answers naming Google Analytics 4 and the 486 naming PostHog. In those answers PostHog took the first choice thirty-six times and Google Analytics 4 thirty.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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 |
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Data trustworthiness is a frequent issue... Pricing escalates with usage, outages disrupt analytics” Grok 4.20 · negative prompt · soft negative
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.