# GEO and AEO Audit: Are You in AI Answers?

**Use case:** 

Generative engine optimization audit: which AI engines mention you, at what rank, citing which domains, and what changed since last run.

## Input

```json
{
  "brandName": "AeroPress",
  "competitors": [
    "Chemex"
  ],
  "prompts": [
    "best travel coffee maker"
  ],
  "engines": [
    "chatgpt-search",
    "google-ai-overviews",
    "perplexity"
  ]
}
```

## Output

```json
{
  "engine": {
    "label": "Engine"
  },
  "prompt": {
    "label": "Prompt"
  },
  "brandMentioned": {
    "label": "Brand mentioned"
  },
  "brandRank": {
    "label": "Brand rank"
  },
  "competitorsMentioned": {
    "label": "Competitors mentioned"
  },
  "brandCited": {
    "label": "Brand cited"
  },
  "citationDomains": {
    "label": "Citation domains"
  }
}
```

## About this Actor

This example demonstrates how to use [AI Brand Visibility Tracker: ChatGPT, AI Overviews, Perplexity](https://apify.com/bridgeworks/ai-answer-watch.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/bridgeworks/ai-answer-watch.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/bridgeworks/ai-answer-watch.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
