Google AnalyticsvsHeap
How 10 AI models weigh Google Analytics against Heap on the 1 buying question where both came up.
- Google Analytics
- 72%of answers named it
- Heap
- 100%of answers named it
- Placed higher
- 0–40times Google Analytics vs Heap, over 40 model rankings that listed either
- Models leaning
- 0–10toward Google Analytics vs Heap
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording
| Model | Google Analytics | Heap | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 100% | 0–4 | Heap |
| GPT-6 Luna | 67% | 100% | 0–4 | Heap |
| Gemini 4 Argon | 67% | 100% | 0–4 | Heap |
| Qwen 3.8 Flash | 75% | 100% | 0–4 | Heap |
| DeepSeek V4 Pro | 25% | 100% | 0–4 | Heap |
| GLM-5.3 | 75% | 100% | 0–4 | Heap |
| Kimi K3 | 75% | 100% | 0–4 | Heap |
| MiniMax M3 | 67% | 100% | 0–4 | Heap |
| Mistral Large 4 | 75% | 100% | 0–4 | Heap |
| Nemotron 3 Ultra | 92% | 100% | 0–4 | Heap |
What the models say about Google Analytics
One reason per model, from the shared questions
- Claude Haiku 5.5
Ubiquitous and free, adequate for web funnels, though less suited to deep product analysis.
- GPT-6 Luna
Widely adopted, accessible web analytics with useful product measurement capabilities.
- Gemini 4 Argon
Ubiquitous, free event-based tracking that bridges marketing attribution and basic product usage.
- Qwen 3.8 Flash
Ubiquitous, free baseline for web traffic though less product-centric.
- DeepSeek V4 Pro
Free, ubiquitous, and its funnel exploration reports are solid for basic needs.
- GLM-5.3
Free, ubiquitous web analytics; deep tracking of acquisition funnels.
- Kimi K3
Free, ubiquitous baseline with GA4 event model, though less product-depth focused.
- MiniMax M3
Free, widely adopted, solid funnel reporting across web and app.
- Mistral Large 4
Free and ubiquitous, though less precise for product-specific behavioral analysis.
- Nemotron 3 Ultra
Free web/app analytics with event-based model and BigQuery export
What the models say about Heap
One reason per model, from the shared questions
- Claude Haiku 5.5
Autocapture removes manual instrumentation burden, useful for retroactive analysis of user behavior.
- GPT-6 Luna
Autocapture reduces instrumentation overhead while supporting retroactive behavioral analysis.
- Gemini 4 Argon
Autocapture technology tracks every user interaction retroactively without requiring manual engineering instrumentation.
- Qwen 3.8 Flash
Autocapture removes instrumentation burden; strong retroactive analysis.
- DeepSeek V4 Pro
Autocapture eliminates manual tracking, great for retroactive analysis.
- GLM-5.3
Auto-captures all events, removing tedious manual tracking work.
- Kimi K3
Automatic event capture removes instrumentation bottlenecks and enables retroactive analysis.
- MiniMax M3
Auto-capture analytics without manual event tagging.
- Mistral Large 4
Auto-captures all user data without engineering, saving countless hours on instrumentation.
- Nemotron 3 Ultra
Autocapture analytics eliminating manual event tracking setup
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | Google Analytics | Heap |
|---|---|---|
| Best product analytics tools | 72% #7 | 100% #1 |
| Best SEO tools | 33% #11 | · |