AI-powered brand mention tracking

Brand monitoring: find every mention and respond in minutes

The agent scans Google News, Twitter/X, Reddit, Hacker News, blogs, and YouTube daily for mentions of your brand, competitors, and key people. Classifies sentiment: positive, neutral, critical. Posts risk alerts to Slack (if a PR crisis emerges) and a weekly digest. Average response time to criticism: < 2 hours. $19/mo.

366k+⭐ OpenClaw on GitHub
<5minutes to launch

Sound familiar?

What's eating your time

Brand mentions live scattered across hundreds of sources — impossible to track manually

PR crises and negative posts often discovered too late, when they've already gone viral

No systematic view of who's talking about you, where, and what they're saying

Competitors monitor you and respond faster; you're always behind

Capabilities

What your AI agent can do

Full-text web search

Monitors Google News, Twitter/X, Reddit, HackerNews, YouTube comments, blogs, forums. Optional: Yandex for RU, Baidu for CN.

Sentiment analysis (positive, neutral, critical)

Auto-classifies mentions: praise and recommendations (positive), factual mentions (neutral), complaints and bugs (critical).

Extract author and context

Who said it (name, profile, follower count)? Where (platform, URL)? When (timestamp)? What's the context of the mention?

Real-time risk alerts

If criticism comes from a high-influence source or has viral potential, instant Slack alert with details and suggested response.

Weekly digest and trends

Summary: positive vs. negative ratio, trending topics, top voices, how you compare to competitors, recommendations for next week.

Works with your tools

Google News API
Twitter/X API
Reddit API
YouTube API
Slack
Telegram
How it works

Get started in a few steps

1

Set keywords and brand names

Tell the agent: 'Monitor OpenKlo, Openclaw, founders John and Jane, and competitors X, Y, Z'. Agent encodes the search filters.

2

Daily scan of the internet

Hourly or daily (configurable), the agent searches Google News, Twitter, Reddit, HN, YouTube, blogs for new mentions.

3

Classify and analyse

For each mention: determine sentiment (positive/neutral/critical), extract author, calculate influence score, contextualise.

4

Alert on high-risk situations

If criticism from a high-influence source or trending, Slack message: 'Negative from @jane_smith (50K followers). URL. Recommend response in < 1 hour.'

5

Weekly digest report

Summary: mention volume, sentiment distribution, trending topics, growth/decline, competitor comparison, recommendations.

FAQ

Frequently asked questions

Google News, Twitter/X, Reddit, HackerNews, YouTube comments, major blogs/forums. Optional: Yandex for RU content, Baidu for CN. Telegram groups via moderation (requires access).

Want OpenClaw — without the DevOps?

OpenKlo is managed hosting for the original OpenClaw. Same agent, live in 3 minutes.

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