FullStoryvsHeap

How 10 AI models weigh FullStory against Heap on the 1 buying question where both came up.

FullStory: 96%of answers named it
Heap: 100%of answers named it
Placed higher: 0–40times FullStory vs Heap, over 40 model rankings that listed either
Models leaning: 0–10toward FullStory 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	FullStory	Heap	Placed higher	Leans
Claude Haiku 5.5	100%	100%	0–4	Heap
GPT-6 Luna	92%	100%	0–4	Heap
Gemini 4 Argon	100%	100%	0–4	Heap
Qwen 3.8 Flash	100%	100%	0–4	Heap
DeepSeek V4 Pro	100%	100%	0–4	Heap
GLM-5.3	83%	100%	0–4	Heap
Kimi K3	100%	100%	0–4	Heap
MiniMax M3	100%	100%	0–4	Heap
Mistral Large 4	83%	100%	0–4	Heap
Nemotron 3 Ultra	100%	100%	0–4	Heap

What the models say about FullStory

One reason per model, from the shared questions

Claude Haiku 5.5Session replay tied to quantitative analytics makes diagnosing UX friction very efficient.
GPT-6 LunaBest-in-class session replay and behavioral signals for investigating user friction.
Gemini 4 ArgonPairs Autocapture product metrics with industry-leading session replay to diagnose user friction.
Qwen 3.8 FlashStrong session replay and performance context complementing core analytics.
DeepSeek V4 ProSession replay and frustration signals give rich qualitative insights.
GLM-5.3Excellent session replay and frustration signals for UX insights.
Kimi K3Pairs quantitative analytics with session replay for debugging real user friction.
MiniMax M3Session replay adds deep product usage insight.
Mistral Large 4Exceptional session replay paired with analytics for deep qualitative product understanding.
Nemotron 3 UltraSession replay and analytics for understanding user behavior visually

What the models say about Heap

One reason per model, from the shared questions

Claude Haiku 5.5Autocapture removes manual instrumentation burden, useful for retroactive analysis of user behavior.
GPT-6 LunaAutocapture reduces instrumentation overhead while supporting retroactive behavioral analysis.
Gemini 4 ArgonAutocapture technology tracks every user interaction retroactively without requiring manual engineering instrumentation.
Qwen 3.8 FlashAutocapture removes instrumentation burden; strong retroactive analysis.
DeepSeek V4 ProAutocapture eliminates manual tracking, great for retroactive analysis.
GLM-5.3Auto-captures all events, removing tedious manual tracking work.
Kimi K3Automatic event capture removes instrumentation bottlenecks and enables retroactive analysis.
MiniMax M3Auto-capture analytics without manual event tagging.
Mistral Large 4Auto-captures all user data without engineering, saving countless hours on instrumentation.
Nemotron 3 UltraAutocapture 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	FullStory	Heap
Best product analytics tools	96% #6	100% #1
Best error tracking tools	1% #27	·