brand-monitor

Q: How do I install brand-monitor?

Run npx skills add https://github.com/openclaudia/openclaudia-skills --skill brand-monitor in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/brand-monitor/ (personal) or .claude/skills/brand-monitor/ (project).

Q: Which AI agents can use brand-monitor?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Q: Is brand-monitor safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Q: Who maintains brand-monitor?

It is published by openclaudia in openclaudia/openclaudia-skills. It has 447 recorded installs.

by openclaudiaMarketing & SEO

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".

Installs: 447
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/openclaudia/openclaudia-skills --skill brand-monitor

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads brand-monitor automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

Search mentions for your brand and each competitor
Compare mention counts over the same time period
Compare sentiment distributions
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

FAQ

What does the brand-monitor skill do?

How do I install brand-monitor?

Run npx skills add https://github.com/openclaudia/openclaudia-skills --skill brand-monitor in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/brand-monitor/ (personal) or .claude/skills/brand-monitor/ (project).

Which AI agents can use brand-monitor?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is brand-monitor safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains brand-monitor?

It is published by openclaudia in openclaudia/openclaudia-skills. It has 447 recorded installs.