# AI Search Grader — Brand Visibility & Recommendation Audit API (`dev00/ai-search-grader`) Actor

Audit any brand name to evaluate visibility, recommendations, scores, and average positions across 20 search & AI answer engines.

- **URL**: https://apify.com/dev00/ai-search-grader.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** AI, Agents, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 ai engine brand audits

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

## AI Search Grader — Brand Visibility & Recommendation Audit API

Audit any brand name or domain to evaluate **visibility scores**, **search recommendations**, **average ranking positions**, and **match validation** across **20 search engines & AI answer engines** (Google, DuckDuckGo, Bing, Brave, Startpage, Qwant, Swisscows, Baidu, Yandex, etc.). **No API Key required**. Procedural anti-blocking included.

***

### ✨ Key Features

- 🤖 **AI & Search Engine Audit** — Evaluates brand presence across 20 search engines and AI answer platforms.
- 📊 **Visibility & Recommendation Scores** — Get aggregated visibility percentages, quality scores, and ranking positions.
- 🎯 **Brand Match Detection** — Identifies whether each search engine explicitly recommends your exact brand (`isMatch: true/false`).
- 🛡️ **Procedural Anti-Blocking** — Every request uses a unique HMAC-signed token and randomized User-Agent.
- 🔐 **No API Keys Needed** — Keyless, unthrottled execution.

***

### 📥 Input Parameters

| Parameter | Type | Required | Default | Description |
| :--- | :--- | :--- | :--- | :--- |
| `brand` | String | Yes | — | Target brand name or domain to evaluate (e.g. `google`, `apify`, `apple`). |
| `description` | String | No | `""` | Optional brand description for refined niche grading. |

#### Input Example (JSON):

```json
{
  "brand": "google",
  "description": "Search engine and technology company"
}
```

***

### 📤 Output Format Example

```json
{
  "brand": "google",
  "description": "",
  "total_results": 20,
  "results": [
    {
      "rank": 1,
      "recommendation": "Google",
      "averagePosition": 4.8,
      "visibility": 75.6,
      "score": 74,
      "isMatch": true
    },
    {
      "rank": 2,
      "recommendation": "DuckDuckGo",
      "averagePosition": 3.2,
      "visibility": 61.3,
      "score": 61,
      "isMatch": false
    }
  ]
}
```

***

### 💡 How To Use — Simple Workflow

1. **Enter Brand** → Enter your target brand name or domain (e.g. `google`, `apify`).
2. **Run** → Click **Start** to evaluate visibility across 20 search engines.
3. **Export** → View ranking recommendations and export dataset to JSON/CSV.

***

### 🔍 Keywords & Tags

`ai search grader`, `brand visibility api`, `ai seo`, `search engine grader`, `ai search audit`, `seo visibility`, `brand monitoring`

# Actor input Schema

## `brand` (type: `string`):

Enter any brand name or domain to audit visibility across AI search engines (e.g. google, apify, apple).

## `description` (type: `string`):

Optional brand description for refined niche grading.

## Actor input object example

```json
{
  "brand": "google"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `keyValueStoreResult` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "brand": "google"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/ai-search-grader").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "brand": "google" }

# Run the Actor and wait for it to finish
run = client.actor("dev00/ai-search-grader").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "brand": "google"
}' |
apify call dev00/ai-search-grader --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dev00/ai-search-grader",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/cuj8m4KYV7FzSAsS3/builds/0dlWTAgl5YMzvxjgu/openapi.json