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Compare Brand Visibility Across Kimi, GLM, DeepSeek and Qwen
Run a self-contained four-row sample showing how ChatGPT, Gemini, Kimi, and Qwen observations are normalized into evidence-ready brand visibility data.
Chinese AI Visibility Analyzer — Kimi, GLM, DeepSeek & Qwenzinin/chinese-ai-visibility-dataset-analyzer
Brand
Query
Query type
Provider
+12 fieldsTextNumberBooleanListObject
Input
Brand to track(required):Nike
Brand aliases:Nike, Inc.+1
Competitors and aliases
Competitor name(required):Adidas+2
Competitor aliases
Market:United States
Answer language:English
Maximum imported source rows:100
Output fields
Brand
Query
Query type
Provider
Model
Mentioned
In answer text
Position
Source-backed
Evidence
Competitors
Grounding
Quality flags
Cited domains
Answer
Checked
Sign up on Apify01
Create your Apify account to access the Chinese AI Visibility Analyzer — Kimi, GLM, DeepSeek & Qwen.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
