Define your ICP, keywords, competitor names, and pain-point phrases. The agent searches Twitter on a configurable schedule, classifies each result by intent level, and delivers high-intent leads with the original tweet and a suggested reply. You review and engage while the conversation is still active.
Problem
High-intent Twitter conversations have a short window. Manual monitoring cannot cover the volume.
- 1.
People tweet 'looking for a tool that...' and the window for a helpful reply is hours, not days
- 2.
Relevant conversations are spread across thousands of accounts
- 3.
No systematic way to score which conversations are worth engaging
How it works
Define ICP, keywords, and signals
Set your ideal customer profile, target keywords, competitor names, and pain-point phrases. The agent uses these as filters.
Agent scans Twitter and scores by intent
On a configurable schedule, the agent searches for matching conversations. 'Looking for a tool that...' and 'any alternatives to [competitor]?' score high. General complaints score low.
Review leads and engage
High-intent leads are delivered with the original tweet, context, and a suggested reply. Review, adjust if needed, and engage while the conversation is fresh.
FAQs
It classifies intent based on language patterns. 'Looking for a tool that...' and 'any alternatives to [competitor]?' are high intent. General complaints or memes are low intent and filtered out.
Configurable: hourly, every few hours, or daily. More frequent scans catch time-sensitive posts where being the first helpful reply matters.
Yes. You can specify competitor names, specific phrases, job titles of your ICP, and Twitter accounts to monitor. The agent combines all signals for scoring.
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