AI sales prospecting
Find prospects with a reason to be on the list.
Search for companies using observable business signals, not just industry and headcount. Crawdar checks public sources, explains each match, and keeps the evidence attached for review before outreach.
Build a prospect list ↗Better targeting
Start with a visible problem your offer can solve.
Look for missing booking, broken forms, absent ecommerce, insecure pages, or another observable issue that makes the research relevant.
Require a specific service page, delivery area, certification, program, platform, or public capability that defines a useful prospect.
Keep the business type and geography explicit. Directories, list articles, adjacent categories, and obvious location mismatches are excluded.
Qualification before outreach
Review the evidence, then decide who deserves contact.
Crawdar separates qualified prospects from possible prospects with unknown criteria. It also retains excluded candidates and the reason they failed, making it easier to audit the search rather than trusting a hidden score.
Use the linked source before contacting a company. Verify that the business is active, that the signal is still current, and that your message is relevant. Public information does not create permission for indiscriminate outreach.
Built for action
Refine, share, and export without rebuilding the list.
Filter for records with a business email, phone, website, or higher confidence. Hide poor fits, add tags and notes, share a review link with a teammate, or export selected prospects to CSV and Google Sheets.
For recurring markets, save the search and request a free weekly monitor. For automated workflows, use Crawdar through the REST API or MCP server.