# AI Brand Visibility Monitor (`oguz.deli/ai-brand-visibility-monitor`) Actor

Track your brand's visibility, ranking position, sentiment and share of voice across ChatGPT, Claude, Gemini and Perplexity - in any language, not just English.

- **URL**: https://apify.com/oguz.deli/ai-brand-visibility-monitor.md
- **Developed by:** [Oğuzhan Delibaş](https://apify.com/oguz.deli) (community)
- **Categories:** AI, Marketing
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 brand query checkeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## AI Brand Visibility Monitor

Track how visible your brand is when people ask ChatGPT, Claude, Gemini, or Perplexity for recommendations — in any language, not just English.

More and more customers are asking AI assistants "what's the best X" instead of googling it. If your brand doesn't come up in those answers, you're invisible to a growing share of buyers, and there's no dashboard for that yet. This Actor gives you one.

### Who this is for

- **Marketing / SEO teams** running a GEO (Generative Engine Optimization) audit before or after a content push
- **Founders** who want a quick pulse-check: "does ChatGPT even know my product exists?"
- **Agencies** monitoring brand visibility for multiple clients across markets and languages
- **Product teams** tracking how a competitor launch shifts the AI-answer landscape

### A practical scenario

Say you run a SaaS project-management tool and just published three "best PM tools" comparison articles. You want to know if that content actually moved the needle on how AI assistants describe your category.

1. Run this Actor with `brandName: "YourTool"`, your top 3 competitors, and `industry: "project management software"`.
2. Compare the `visibility_score` and `average_position` to a run from before your content push.
3. Re-run monthly to track the trend, not just a single snapshot.

### What it measures

For each query (yours or auto-generated) x language x platform combination, the Actor asks the AI and analyzes the response for:

| Metric | What it tells you |
|---|---|
| `mention_count` | How often your brand comes up |
| `position` | Where you rank when the answer is a list — the closest thing to a search-ranking equivalent for AI answers |
| `sentiment` | positive / neutral / negative tone toward your brand |
| `share_of_voice` | Your mentions vs. your named competitors' mentions, combined |
| `cites_brand_domain` | Whether your website is cited as a source (only computed if you provide `brandDomain`) |
| `visibility_score` (summary row) | A single 0-100 composite of all of the above |

### Why this Actor (vs. others in this space)

- **Multi-language.** Most AI-visibility tools only check English queries. If your customers ask in Turkish, Spanish, Arabic, or any other language, this Actor checks in that language too, not an English query with a translated brand name bolted on.
- **No manual query writing required.** Give us your `industry` and we auto-generate a solid first set of queries (best-tools, alternatives, recommendations, comparisons). Add your own exact queries any time with `customQueries`.
- **Try before you pay.** Set `demoMode: true` to see the exact output shape with zero API calls and zero cost.

### Input reference

| Field | Required | Type | Notes |
|---|---|---|---|
| `brandName` | Yes | string | The brand to track |
| `brandAliases` | No | array | Alternate names/abbreviations checked as the same brand |
| `brandDomain` | No | string | Enables citation detection (e.g. `example.com`) |
| `industry` | No | string | Powers auto-generated queries |
| `competitors` | No | array | Named brands to compute share of voice against |
| `queryTemplates` | No | array | `best_tools`, `alternatives`, `recommendations`, `comparisons` |
| `customQueries` | No | array | Your own exact questions, in addition to auto-generated ones |
| `languages` | No | array | e.g. `["en", "tr", "es"]` - default `["en"]` |
| `platforms` | No | array | `openai`, `anthropic`, `google`, `perplexity` |
| `demoMode` | No | boolean | Preview the output format, no real API calls, no cost |

### Output reference

Every query x platform check is one dataset row (see table above for field meaning), plus one summary row per run:

```json
{
  "summary": true,
  "brand": "Nike",
  "total_checks": 8,
  "mention_rate_pct": 87.5,
  "average_position": 2.1,
  "positive_sentiment_pct": 75.0,
  "average_share_of_voice_pct": 24.0,
  "citation_rate_pct": 12.5,
  "visibility_score": 76.1
}
```

### How it works

1. The Actor builds a query list: your `customQueries` plus anything generated from `queryTemplates` + `industry` + `competitors`.
2. Each query is sent to every platform you selected, in every language you selected.
3. The raw AI answer is passed back to the same AI platform for structured analysis (mention count, position, sentiment, competitor mentions, citation) - not a fragile regex, so it holds up across very different answer formats.
4. Results are written to the dataset one row at a time, plus a final summary row with the composite `visibility_score`.

### Pricing

Pay per event, no subscription:

| Event | Price |
|---|---|
| Brand query checked | $0.05 |
| Actor start | $0.00005 (one-time, negligible) |

Try `demoMode: true` first, free, to confirm the output shape before spending anything.

### A note on accuracy

We don't invent numbers. Mention count, position, sentiment and citations come from asking the AI to analyze its own already-generated answer - nothing is guessed or hardcoded. If a response can't be parsed, that item is marked as no-mention rather than silently faked as a hit.

AI assistant answers are not deterministic - re-running the same query can produce a different answer even minutes apart. Treat a single run as a snapshot, and re-run periodically (weekly or monthly) to see a real trend rather than noise.

### FAQ

**Do I need my own OpenAI/Anthropic/Google/Perplexity API key?**
No. Pricing already includes the underlying AI cost - you only pay the per-query price above.

**Can I check just one platform?**
Yes, set `platforms` to just the one(s) you want, e.g. `["google"]`.

**What if my brand name is also a common word?**
Use `brandAliases` and, where possible, a more specific `industry` value to keep queries relevant and reduce false matches.

**How is `visibility_score` calculated?**
A weighted blend: mention rate (30%), position (25%), positive sentiment (25%), share of voice (20%). It's meant for tracking your own trend over time, not as an absolute industry benchmark.

# Actor input Schema

## `brandName` (type: `string`):

The brand or product name to check for.

## `brandAliases` (type: `array`):

Alternate names, abbreviations or spellings of the brand.

## `brandDomain` (type: `string`):

Used to detect when AI answers cite your website as a source (e.g. example.com).

## `industry` (type: `string`):

Used to generate relevant queries automatically (e.g. 'project management software', 'running shoes').

## `competitors` (type: `array`):

Other brands to check for in the same responses, for comparison.

## `queryTemplates` (type: `array`):

Categories of queries to auto-generate from your industry/competitors. Leave default for a good starting set.

## `customQueries` (type: `array`):

Exact questions to ask, in addition to (or instead of) auto-generated ones.

## `languages` (type: `array`):

Languages to run the queries in (e.g. en, tr, es, ar). Each query is asked once per language. Most competing tools only support English.

## `platforms` (type: `array`):

Which AI platforms to query.

## `demoMode` (type: `boolean`):

Returns sample data to preview the output format without making any real (paid) AI queries.

## Actor input object example

```json
{
  "brandAliases": [],
  "competitors": [],
  "queryTemplates": [
    "best_tools",
    "alternatives",
    "recommendations",
    "comparisons"
  ],
  "customQueries": [],
  "languages": [
    "en"
  ],
  "platforms": [
    "openai",
    "anthropic",
    "google",
    "perplexity"
  ],
  "demoMode": false
}
```

# Actor output Schema

## `brandVisibilityChecks` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("oguz.deli/ai-brand-visibility-monitor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("oguz.deli/ai-brand-visibility-monitor").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{}' |
apify call oguz.deli/ai-brand-visibility-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,oguz.deli/ai-brand-visibility-monitor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/TimAQ7PBIs4OAsDUc/builds/6njtPaInYJWs2Rux4/openapi.json