Brand Monitor

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.

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

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

Response Parsing

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

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

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

{
  "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

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

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

Get Monitor Results

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

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

# 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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: OpenClaudia
• Source: OpenClaudia/openclaudia-skills
• License: MIT
• Homepage: https://openclaudia.com

Install and usage instructions live in the source repository linked above.