# Monitor website AI-readiness changes over time

**Use case:** 

Create a persistent website baseline and detect JSON-LD, metadata, llms.txt and AI-crawler changes. Website-only dry-run avoids Google proxy usage.

## Input

```json
{
  "query": "",
  "websiteUrl": "https://adagasolutions.lu",
  "maxReviews": 5,
  "competitorQueries": [],
  "scoreDropThreshold": 5,
  "ratingDropThreshold": 0.2,
  "slackChannel": "#general",
  "language": "fr",
  "dryRun": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "business": {
    "label": "Business",
    "format": "string"
  },
  "capturedAt": {
    "label": "Captured at",
    "format": "string"
  },
  "presenceScore": {
    "label": "Presence score",
    "format": "integer"
  },
  "rating": {
    "label": "Google rating",
    "format": "number"
  },
  "reviewCount": {
    "label": "Google review count",
    "format": "integer"
  },
  "newReviewCount": {
    "label": "New reviews",
    "format": "integer"
  },
  "changeCount": {
    "label": "Change count",
    "format": "integer"
  },
  "alertCount": {
    "label": "Alert count",
    "format": "integer"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  }
}
```

## How it works

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

The Local AI Presence Monitor — Changes & Alerts Actor is ready to run with the inputs already set for "Monitor website AI-readiness changes over time". [Sign up or log in](https://console.apify.com/create-task-from-example/7Ecr5U9mgpMQTGME9) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Monitor website AI-readiness changes over time" task

The Local AI Presence Monitor — Changes & Alerts Actor will start running based on the input automatically. You can also change all the input fields, like business website url, maximum recent reviews, and more, to match your specific use case.

### 3. Receive the "Monitor website AI-readiness changes over time" 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 business, captured at, presence score, 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 "Monitor website AI-readiness changes over time" task via API](https://apify.com/travelmonitorlab/local-ai-presence-monitor.md).

## FAQ

### What does the first monitoring run do?

It creates the baseline. Later runs with the same website compare the current signals with that saved state.

### Does this website-only task use Google Maps?

No. Leaving query empty avoids Google Maps, browser and residential-proxy usage.

## About this Actor

This example demonstrates how to use [Local AI Presence Monitor — Changes & Alerts](https://apify.com/travelmonitorlab/local-ai-presence-monitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/travelmonitorlab/local-ai-presence-monitor.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/local-ai-presence-monitor.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`).