One of fourteen models named Heap first on the direct prompt; zero named Google Analytics 4. Heap was named by fourteen of the fourteen models and Google Analytics 4 by thirteen and Heap carries 51 labels and Google Analytics 4 22, so the shares are not directly comparable.
By Contentsquare, Paris, France, founded 2008. Named in five categories this edition.
By Google, Mountain View, California, United States, founded 1998. Named in seventeen 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 product analytics page.
Across every category in the October 2026 Edition, Heap and Google Analytics 4 were named in the same answer ninety-two times, of the 225 answers naming Heap and the 520 naming Google Analytics 4. In those answers Google Analytics 4 took the first choice nineteen times and Heap zero.
| 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 | ||||||
| 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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Post-acquisition decline... Heap and Mixpanel have the most documented customer pain points” Kimi K2 · negative prompt · hard negative
“Heap (now by Contentsquare) – Be highly cautious” Grok 4.1 Fast · negative prompt · hard negative
“Heap - works best for mid-market B2B SaaS teams and non-technical product managers who need fast time-to-insight without engineering overhead.” Llama 4 Maverick · paraphrase prompt · first choice
“Heap is ideal for mid-market B2B SaaS teams and non-technical product managers who need fast time-to-insight” Llama 4 Maverick · direct prompt · first choice
“if you are under pressure to show immediate results and lack engineering resources, Heap will win you the most internal friends.” Qwen 3.7 Flash · direct prompt · alternative
No label in this category carried a quote.
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.