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Track Brand Visibility Across AI Search Results

Monitor how a brand appears in AI-generated answers for category and recommendation queries across major platforms.

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AI Brand Monitor β€” Perplexity, ChatGPT, Claude & Gemini
AI Brand Monitor β€” Perplexity, ChatGPT, Claude & Geminikhadinakbar/ai-search-brand-monitor
Run ID
AI Platform
Query Category
Brand Mentioned
+6 fields
Text
Number
Boolean
List
Object

Input

Brand name(required):Notion
Brand domain:notion.so
Industry / category:productivity software
AI platforms to query:perplexity+2
Query template categories:best_tools+2
Max queries to run:3
Response detail level:concise

Output fields

Run ID
AI Platform
Query Category
Brand Mentioned
Brand Mention Count
Brand Share of Voice
Mention Position Score
Brand Sentiment
Cited as Source
Competitor Mentions

How it works

Sign up on Apify or log in

The AI Brand Monitor β€” Perplexity, ChatGPT, Claude & Gemini Actor is ready to run with the inputs already set for "Track Brand Visibility Across AI Search Results". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Track Brand Visibility Across AI Search Results" task

The AI Brand Monitor β€” Perplexity, ChatGPT, Claude & Gemini Actor will start running based on the input automatically. You can also change all the input fields, like brand name, brand domain, and more, to match your specific use case.

Receive the "Track Brand Visibility Across AI Search Results" 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 run id, AI Platform, query category, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Track Brand Visibility Across AI Search Results" task via API.

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Integrate "Track Brand Visibility Across AI Search Results" into your workflow

Connect "Track Brand Visibility Across AI Search Results" with 100+ integrations, or run it via API or MCP.

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