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Track Yasha Hotel across three fixed-model AI queries

Measure Yasha Hotel across three real queries with one fixed model, answer evidence, official-domain citations and charged-event accounting.

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AI Brand Visibility Tracker — Mentions & Citations
AI Brand Visibility Tracker — Mentions & Citationstravelmonitorlab/ai-brand-visibility-tracker
Brand
Question
Requested model
Resolved model
+8 fields
Text
Number
Boolean
List
Object

Input

Brand name(required):Yasha Hotel
Official domain(required):yashahotel.com
Questions to ask:Yasha Hotel Mersch: location and official website?+2
OpenRouter model (legacy single-model input):recursive/flint-v1.0:free
Technical dry run:true

Output fields

Brand
Question
Requested model
Resolved model
Captured at
Brand mentioned
Official domain cited
First-mention rank among tracked entities
Answer-level share of tracked mentions
Citation count
Changes since previous answer
Verdict

How it works

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The AI Brand Visibility Tracker — Mentions & Citations Actor is ready to run with the inputs already set for "Track Yasha Hotel across three fixed-model AI queries". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Track Yasha Hotel across three fixed-model AI queries" task

The AI Brand Visibility Tracker — Mentions & Citations Actor will start running based on the input automatically. You can also change all the input fields, like brand name, official domain, and more, to match your specific use case.

Receive the "Track Yasha Hotel across three fixed-model AI queries" 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, question, requested model, 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 Yasha Hotel across three fixed-model AI queries" task via API.

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Frequently asked questions

Run rTzuzBVg0h45cFz3L measured 3/3 queries with recursive/flint-v1.0:free and three query-measured events. Public input is technical dry-run without a key; duplicate it and add your own key for real runs.

No. They are model outputs to review, each with an AI-output warning. The provider key is redacted from the run INPUT immediately after reading.