# Yasha Hotel mentions and official-domain AI citations

**Use case:** 

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

## Input

```json
{
  "brand": "Yasha Hotel",
  "domain": "yashahotel.com",
  "queries": [
    "What is Yasha Hotel in Mersch, Luxembourg, and what is its official website?"
  ],
  "model": "openrouter/free",
  "models": [],
  "competitors": [],
  "maxTokens": 800,
  "dryRun": true
}
```

## Output

```json
{
  "brand": {
    "label": "Brand",
    "format": "string"
  },
  "query": {
    "label": "Question",
    "format": "string"
  },
  "requestedModel": {
    "label": "Requested model",
    "format": "string"
  },
  "model": {
    "label": "Resolved model",
    "format": "string"
  },
  "capturedAt": {
    "label": "Captured at",
    "format": "string"
  },
  "mentioned": {
    "label": "Brand mentioned",
    "format": "boolean"
  },
  "cited": {
    "label": "Official domain cited",
    "format": "boolean"
  },
  "mentionRank": {
    "label": "First-mention rank among tracked entities",
    "format": "integer"
  },
  "shareOfVoice": {
    "label": "Answer-level share of tracked mentions",
    "format": "number"
  },
  "citationCount": {
    "label": "Citation count",
    "format": "integer"
  },
  "changes": {
    "label": "Changes since previous answer",
    "format": "array"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

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](https://console.apify.com/create-task-from-example/otJpmVXl8QONDDsIi) and you'll land in Apify Console with a copy of this exact task.

### 2. 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.

### 3. 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.

### 4. 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](https://apify.com/travelmonitorlab/ai-brand-visibility-tracker.md).

## FAQ

### Where is the real AI-answer proof?

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.

### Are AI answers verified hotel facts?

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.

### Which run proves this example?

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

## About this Actor

This example demonstrates how to use [AI Brand Visibility Tracker — Mentions & Citations](https://apify.com/travelmonitorlab/ai-brand-visibility-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/travelmonitorlab/ai-brand-visibility-tracker.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/travelmonitorlab/ai-brand-visibility-tracker.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).