Compare Brand Visibility Across Kimi, GLM, DeepSeek and Qwen

Created by

Tim Zinin

Actor

Chinese AI Brand Visibility Analyzer

Run a self-contained four-row sample showing how ChatGPT, Gemini, Kimi, and Qwen observations are normalized into evidence-ready brand visibility data.

Try for free

Chinese AI Brand Visibility Analyzerzinin/chinese-ai-visibility-dataset-analyzer

Brand

Query

Query type

Provider

+12 fields

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

How it works

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The Chinese AI Brand Visibility Analyzer Actor is ready to run with the inputs already set for "Compare Brand Visibility Across Kimi, GLM, DeepSeek and Qwen". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare Brand Visibility Across Kimi, GLM, DeepSeek and Qwen" task

The Chinese AI Brand Visibility Analyzer Actor will start running based on the input automatically. You can also change all the input fields, like brand to track, brand aliases, and more, to match your specific use case.

Receive the "Compare Brand Visibility Across Kimi, GLM, DeepSeek and Qwen" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as brand, query, query type, and more.