Challenge

• SDRs were spending hours researching each company manually → Googling social handles, checking domain age, pulling traffic stats, hunting down decision-makers on LinkedIn, then copy-pasting everything into spreadsheets (rinse and repeat for every single lead)

• By the time you finish researching 50 companies, your list is already stale and you're completely burnt out

• Even worse: half the contacts you find aren't even relevant because you grabbed whoever showed up first instead of filtering for actual decision-makers

Solution

• Created an AI research system with a centralized workspace where [CLIENT PLACEHOLDER] can enrich companies with one click—pulls company profiles, domain data, social metrics with monthly engagement stats, web traffic breakdowns, and identifies key decision-makers with verified contact info

• AI filters the lead list automatically to surface only relevant titles (founders, VPs, directors—whoever [CLIENT PLACEHOLDER] actually wanted to reach, not random employees)

• Works for single companies or bulk runs—hit the button and enrich hundreds at once without touching a single spreadsheet

• Everything lives in one unified database with status tracking so the team knows what's enriched, what's in progress, and what needs review
  
  

Impact

• Hours of manual research per 50 companies dropped to minutes (seriously, the difference is night and day)

• Complete, consistent data across social presence, web traffic, and contact details—no more gaps where you're missing half the info

• Clean lead lists with only the decision-makers that matter, not a bloated mess of irrelevant contacts

• Team stopped jumping between five different tools and now just works from one central hub