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168 · Marketing · Brand Monitoring

Brand Monitoring & Mention Tracking

Plans brand-mention monitoring and escalation criteria without provider API calls.

brand-monitoringmention-trackingsocial-listeningreputationmarkenbeobachtung

Brand Monitoring & Mention Tracking · Original SKILL.md

---
name: brand-monitor
description: >
  Brand monitoring and mention tracking via the Brand.dev API. Use when asked to
  monitor brand mentions, track sentiment, find PR opportunities, detect logo
  usage, or analyze brand presence online. Trigger phrases: "brand monitoring",
  "mention tracking", "brand sentiment", "PR opportunities", "logo detection",
  "brand.dev", "brand mentions", "media monitoring".
---

# Brand Monitor

Track brand mentions, analyze sentiment, and discover PR opportunities using the Brand.dev API.

## Prerequisites

Requires `BRANDDEV_API_KEY` set in `.env`, `.env.local`, or `~/.claude/.env.global`.

```bash
echo "BRANDDEV_API_KEY is ${BRANDDEV_API_KEY:+set}"
```

If the key is not set, instruct the user:
> You need a Brand.dev API key. Get one at https://brand.dev/
> Then add `BRANDDEV_API_KEY=your_key` to your `.env` file.

## API Base

All requests go to `https://api.brand.dev/v1/` with the header `Authorization: Bearer {BRANDDEV_API_KEY}`.

---

## 1. Brand Search

Search for mentions of a brand name across the web.

### Endpoint

```
GET https://api.brand.dev/v1/brand/search
```

### Parameters

| Param | Type | Description |
|-------|------|-------------|
| `query` | string | Brand name or phrase to search |
| `limit` | int | Number of results (default 20, max 100) |
| `offset` | int | Pagination offset |
| `sort` | string | `relevance` or `date` |
| `from_date` | string | Start date (YYYY-MM-DD) |
| `to_date` | string | End date (YYYY-MM-DD) |

### Example curl

```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/brand/search?query=YourBrand&limit=20&sort=date"
```

### Response Parsing

```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/brand/search?query=YourBrand&limit=20" \
  | python3 -c "
import json, sys
data = json.load(sys.stdin)
for m in data.get('results', []):
    print(f\"Source: {m.get('source','')}  |  Title: {m.get('title','')}  |  Sentiment: {m.get('sentiment','n/a')}  |  Date: {m.get('published_at','')}\")
    print(f\"  URL: {m.get('url','')}\")
    print()
"
```

---

## 2. Brand Info Lookup

Get structured brand information for any company or product.

### Endpoint

```
GET https://api.brand.dev/v1/brand/info
```

### Parameters

| Param | Type | Description |
|-------|------|-------------|
| `domain` | string | Company domain (e.g., `stripe.com`) |
| `name` | string | Brand name (alternative to domain) |

### Example curl

```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/brand/info?domain=stripe.com"
```

### Response Fields

- `name`: Official brand name
- `domain`: Primary domain
- `description`: Brand description
- `industry`: Industry classification
- `founded`: Year founded
- `headquarters`: Location
- `social_profiles`: Links to social media
- `logos`: Brand logo URLs
- `colors`: Brand color palette
- `employees_range`: Company size estimate

---

## 3. Logo Detection

Detect brand logos in images across the web.

### Endpoint

```
GET https://api.brand.dev/v1/logo/search
```

### Parameters

| Param | Type | Description |
|-------|------|-------------|
| `brand` | string | Brand name to search for |
| `domain` | string | Filter to specific domain |
| `limit` | int | Number of results |

### Example curl

```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/logo/search?brand=YourBrand&limit=20"
```

Use logo detection to find:
- Unauthorized logo usage
- Partner and sponsor visibility
- Event coverage and media placements
- Counterfeit product listings

---

## 4. Mention Tracking

Set up ongoing tracking for brand mentions.

### Create a Monitor

```
POST https://api.brand.dev/v1/monitors
```

### Body

```json
{
  "name": "My Brand Monitor",
  "keywords": ["YourBrand", "Your Brand", "yourbrand.com"],
  "exclude_keywords": ["unrelated term"],
  "sources": ["news", "blogs", "social", "forums", "reviews"],
  "languages": ["en"],
  "notify_email": "alerts@yourdomain.com"
}
```

### Example curl

```bash
curl -s -X POST -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  -H "Content-Type: application/json" \
  "https://api.brand.dev/v1/monitors" \
  -d '{
    "name": "Brand Alert",
    "keywords": ["YourBrand"],
    "sources": ["news", "blogs", "social"],
    "languages": ["en"]
  }'
```

### List Monitors

```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/monitors"
```

### Get Monitor Results

```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/monitors/{monitor_id}/mentions?limit=50&sort=date"
```

---

## 5. Sentiment Analysis

Analyze sentiment of brand mentions.

### Endpoint

```
GET https://api.brand.dev/v1/brand/sentiment
```

### Parameters

| Param | Type | Description |
|-------|------|-------------|
| `query` | string | Brand name |
| `from_date` | string | Start date |
| `to_date` | string | End date |
| `granularity` | string | `day`, `week`, or `month` |

### Example curl

```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/brand/sentiment?query=YourBrand&from_date=2024-01-01&to_date=2024-03-31&granularity=week"
```

### Sentiment Scores

- **Positive** (> 0.3): Praise, recommendations, positive reviews
- **Neutral** (-0.3 to 0.3): Factual mentions, news coverage
- **Negative** (< -0.3): Complaints, criticism, negative reviews

---

## 6. Competitor Mention Comparison

Compare brand mention volume and sentiment against competitors.

### Workflow

1. Search mentions for your brand and each competitor
2. Compare mention counts over the same time period
3. Compare sentiment distributions
4. Identify sources where competitors get mentioned but you do not

```bash
# For each brand, get mention counts
for brand in "YourBrand" "Competitor1" "Competitor2"; do
  count=$(curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
    "https://api.brand.dev/v1/brand/search?query=${brand}&limit=1" \
    | python3 -c "import json,sys; print(json.load(sys.stdin).get('total',0))")
  echo "${brand}: ${count} mentions"
done
```

---

## Workflow: Full Brand Audit

When asked for a comprehensive brand monitoring report:

### Step 1: Brand Info

Pull structured brand data for context.

### Step 2: Mention Volume

Search for brand mentions over the last 30/90 days. Count total mentions and break down by source type.

### Step 3: Sentiment Analysis

Get sentiment trends. Flag any negative spikes and investigate root causes.

### Step 4: PR Opportunities

From mention data, identify:
- **High-authority sites** that mention competitors but not you
- **Journalists** who cover your industry
- **Trending topics** where your brand could contribute
- **Unanswered questions** about your brand on forums

### Step 5: Logo/Visual Presence

Search for logo appearances. Flag unauthorized usage.

### Step 6: Report

Present findings as:

```
## Brand Monitoring Report: {Brand}

### Overview
- Total mentions (last 30 days): X
- Sentiment breakdown: X% positive, X% neutral, X% negative
- Top sources: ...

### Sentiment Trend
[Weekly trend data]

### Top Positive Mentions
1. [Source] - [Title] - [URL]
2. ...

### Negative Mentions Requiring Attention
1. [Source] - [Title] - [URL] - [Issue summary]
2. ...

### PR Opportunities
1. [Publication] covers [topic] - pitch angle: ...
2. [Journalist] recently wrote about [topic] - pitch angle: ...

### Competitor Comparison
| Metric | Your Brand | Competitor A | Competitor B |
|--------|-----------|-------------|-------------|
| Mentions | ... | ... | ... |
| Positive % | ... | ... | ... |
| Top Source | ... | ... | ... |

### Action Items
- [ ] Respond to [negative mention]
- [ ] Pitch [publication] about [topic]
- [ ] Update brand listing on [platform]
```

---

## Error Handling

| Status | Meaning |
|--------|---------|
| 401 | Invalid or expired API key |
| 403 | Insufficient permissions for this endpoint |
| 404 | Resource not found (check monitor ID) |
| 429 | Rate limit exceeded - wait and retry |
| 500 | Server error - retry after a few seconds |

## Tips

- Use exact brand name + common misspellings as keywords
- Exclude your own domain to avoid self-mentions
- Set up monitors for competitor brands too
- Check mentions weekly at minimum; daily during launches or crises
- Export negative mentions to a spreadsheet for customer support follow-up

When to use

Plans brand-mention monitoring and escalation criteria without provider API calls.

What you get

The complete original guide with source attribution and explicit delivery limits.

How it works

Clarify evidence and scope, apply the method as planning guidance, then separate recommendations from any authorized external action.

Requirements

Task context, user-supplied or authorized evidence, constraints and an accountable owner for any external work.

Delivery and review notes

Original documentation is published under the repository MIT license at the pinned revision. It is reference guidance only. Referenced API keys, OAuth tokens, environment files, CLIs, scripts, runtimes and third-party services are not available, read or executed. Loading this source does not authorize credential use, external requests, account changes, content publication, messages, payment, deployment, installation or script execution.

Starting prompt

Use Brand Monitoring & Mention Tracking for [TASK]. Establish the evidence, permissions and constraints first. Return a bounded, reviewable plan with assumptions and open questions. Do not use credentials, call services or perform external actions.

Not for

Reading credentials, issuing API calls, installing tools, publishing content or making account changes.

What M11 added

M11 added German routing, source integrity and runtime boundaries. Original documentation is published under the repository MIT license at the pinned revision. It is reference guidance only. Referenced API keys, OAuth tokens, environment files, CLIs, scripts, runtimes and third-party services are not available, read or executed. Loading this source does not authorize credential use, external requests, account changes, content publication, messages, payment, deployment, installation or script execution.

Original authorship remains with OpenClaudia/openclaudia-skills · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 OpenClaudia

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: 4c023136721766f6561922f1eb2dc1361c3d6bed5a81e1befcbf7eada394ef98
Snapshot checked: 2026-09-28T18:31:39.085Z

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