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Compare Brand Share in AI Recommendations

Measure how a brand and competitors are represented together in AI overviews for buyer-intent searches for the same category.

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AI Overviews Tracker — Brand Visibility in AI Answers
AI Overviews Tracker — Brand Visibility in AI Answerskhadinakbar/ai-overviews-tracker
Platform
Keyword
Template
Overview?
+8 fields
Text
Number
Boolean
List
Object

Input

Brand / product name to track(required):Notion
Commercial keywords to query(required):project management tools+1
Competitor brand names (optional):Asana+2
AI platforms to query:perplexity+2
Query template categories:best_of+2
Max queries per keyword:3
Response format:detailed
Demo / health check mode:false

Output fields

Platform
Keyword
Template
Overview?
Type
Brand Found?
Position
Status
Sentiment
SOV
Sources
Checked At

How it works

Sign up on Apify or log in

The AI Overviews Tracker — Brand Visibility in AI Answers Actor is ready to run with the inputs already set for "Compare Brand Share in AI Recommendations". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare Brand Share in AI Recommendations" task

The AI Overviews Tracker — Brand Visibility in AI Answers Actor will start running based on the input automatically. You can also change all the input fields, like brand / product name to track, commercial keywords to query, and more, to match your specific use case.

Receive the "Compare Brand Share in AI Recommendations" 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 platform, keyword, template, 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 "Compare Brand Share in AI Recommendations" task via API.

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Integrate "Compare Brand Share in AI Recommendations" into your workflow

Connect "Compare Brand Share in AI Recommendations" with 100+ integrations, or run it via API or MCP.

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