Integration
Connect WebuildYourAI. to
Hunter
Introduction
Hunter by Hunter Web Services is a SaaS platform for discovering, verifying, and managing professional email addresses across domains. It underpins outbound sales, recruiting, PR, and partnership outreach by centralising search, enrichment, and basic campaigns. Our agency’s AI agents extend Hunter into an active prospecting layer, orchestrating research, verification, routing, and hygiene across interconnected tools and teams in real time.
Core Workflows
AI agents monitor new records in CRM, forms, or spreadsheets, call Hunter’s Domain Search and Email Finder APIs, then enrich leads with verified emails, roles, and confidence scores. They flag gaps, suggest alternative contacts at the same company, and synchronise clean results back into systems used by sales, talent, or partnerships.
Using Hunter’s Email Verifier, agents run pre-send checks on new lists, inbound uploads, or manually added contacts. Risky or undeliverable addresses are auto-tagged, removed from campaigns, or routed to review. The agent can recalculate list health, recommend send volumes, and keep sender reputation stable across mailboxes.
Agents take company lists, event attendees, or LinkedIn exports, then call Hunter in bulk to generate structured prospect lists by role, seniority, or industry. They normalise naming patterns, deduplicate across sources, and push segmented lists into Hunter or the CRM, ready for tailored sequences targeting decision-makers or influencers.
Before a campaign is launched from Hunter or a connected engagement tool, agents clean, verify, and standardise recipient data. They align custom fields with templates, remove duplicates, and schedule verification refreshes for longer sequences. Performance signals can trigger the agent to adjust segments or pause sends to degrading lists.
Agents periodically audit CRM and marketing databases, sampling or bulk-verifying emails via Hunter to identify decay. They create tasks or automated updates for stale, risky, or bounced contacts, propose replacement prospects in the same accounts, and maintain health dashboards so teams see the real reachable audience at any time.
For research-heavy teams, agents combine Hunter with browsing or scraping tools to turn company domains, articles, or social profiles into verified contact maps. They capture author or stakeholder details, attach context such as source pages, and feed prioritised targets into lead lists so outreach is timely, relevant, and well documented.
Extended Capabilities
Agentic workflows use Hunter’s API, lists, and campaigns as a dependable data backbone, then autonomously research, verify, and segment contacts across CRMs, inboxes, and spreadsheets. Agents react to events, maintain data quality, and prepare outreach so human teams focus on messaging and relationships, not manual list building.
Conclusion
By embedding AI agents around Hunter’s discovery, verification, and campaign features, organisations gain prospect data that is continuously enriched, verified, and structured for action. Workflows become clearer and less fragmented as agents coordinate between Hunter, CRMs, mailboxes, and sheets, supporting teams with reliable, current contact data and expert-level list stewardship at scale.