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Yasha Hotel mentions and official-domain AI citations

Measure whether a selected AI model mentions Yasha Hotel and cites yashahotel.com, with a real answer, evidence URLs and history.

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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:What is Yasha Hotel in Mersch, Luxembourg, and what is its official website?
OpenRouter model (legacy single-model input):openrouter/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 "Yasha Hotel mentions and official-domain AI citations". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Yasha Hotel mentions and official-domain AI citations" 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 "Yasha Hotel mentions and official-domain AI citations" 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 "Yasha Hotel mentions and official-domain AI citations" task via API.

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n8n

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Zapier

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Keboola

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Hubspot

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GDrive

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Gmail

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Apify MCP

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GitHub

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Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay

Frequently asked questions

Acceptance run 6q7poRpYYoWesINO8 measured a real answer with model recursive/flint-v1.0:free. The published input uses technical dry-run without a provider key. Duplicate it and add your own key for a charged measurement.

No. The output is an AI-answer measurement with a warning, not verified hotel information. The Actor redacts a supplied provider key in the run INPUT immediately after reading it.

Acceptance run 6q7poRpYYoWesINO8 finished SUCCEEDED with a non-empty dataset. Its output was reviewed before publication; dry-run event charges were zero where applicable.