Intently for Web Apps

Intently, developed by getintently, is a web-based sales intelligence platform that identifies B2B prospects at the moment they express buying intent. The tool applies AI social listening agents to monitor public conversations and surface actionable signals for outreach. It offers real-time alerts, LinkedIn profile extraction, natural-language prospecting, and look-alike audience discovery. Sales development reps, account executives, growth marketers, and recruiters use it to prioritize leads based on observed online behavior rather than static lists.

The tool converts public conversations into time-sensitive lead signals

The app deploys 24/7 AI social listening agents that scan millions of posts across Reddit, X, and LinkedIn to surface users mentioning pain points or solution searches. It flags activity that indicates intent and delivers alerts for outreach, so sales teams can shift focus from static lists to leads triggered by actual online behavior. Monitoring runs continuously, capturing timely conversational signals for follow-up.

Lead signal usefulness depends on conversation volume and context

Alerts are routed to Email or Slack and the app builds look-alike audiences from existing ideal-customer profiles, enabling outreach at scale. The tool prioritizes so-called "warm" leads who are active in relevant discussions, a capability users value for finding hidden prospects compared with static databases. Reliability varies with the clarity and volume of social conversations, so teams should treat signals as prioritized candidates rather than final-qualified opportunities.

It integrates with existing outreach stacks but requires workflow adjustments

The web-based app exposes webhooks for pushing lead data into CRMs and outbound sequences, and supports alert delivery to common collaboration channels. Natural-language prospecting reduces the need for complex Boolean filters when searching for buyer personas, but teams must map webhook fields and verification steps into their sequence logic. Account-safe LinkedIn extraction reduces reliance on personal accounts, which simplifies long-running scraping tasks for prospecting teams.

Practical choice for intent-led outreach, with a verification requirement

The app is a practical option for B2B SDRs and marketers who need timely signals to prioritize outreach, because it surfaces behavior-driven candidates rather than static records. Expect best results where public conversation volume is healthy; teams should add a manual qualification step before engagement. Treat signals as lead candidates to be integrated into existing qualification workflows rather than fully automated decisions.