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Review websites, verify companies, and clean CSVs faster, without tab chaos, guesswork, or generic tools that were never built for human review.
AI can help. Bulk tools can help. But when the row really matters, someone still has to look at the website and decide what’s true.
Scraped from Google Maps or business directories
Bought from list vendors or marketplaces
Inherited with a business or customer list
Exported from older CRMs, spreadsheets, or tools
Compiled internally from mixed sources over time
Print, postage, and outreach spend get wasted on bad data.
Mail sent to dead businesses wastes print and postage.
Bad email records increase bounce risk and hurt sender reputation.
Duplicate rows make lists look bigger without adding real value.
Dead sites and wrong matches create extra review work.
A smaller vetted list is often worth more than a larger dirty one.
Get the free Business List Cleanup Checklist, a practical guide to reviewing websites, verifying records, and deciding what stays, what gets fixed, and what gets cut.
Review website-by-website in one focused workflow
See the record and supporting columns without bouncing all over the place
Mark exclusions, reasons, reviewer, and timestamp as you go

Website-first verification: Review the real website behind each row.
Cleaner review workflow: Move record by record with less tab switching.
Decision tracking: Record status, reviewer, and reason as you go.
Team consistency: Give reviewers the same process for what to check.
Faster CSV cleanup: Turn messy source data into something more usable.
Import → Review → Export. The decision trail is the whole point.
Load your records and choose the columns you want reviewers to see while they work.
Check the company site against the row, confirm what’s valid, and flag what isn’t.
Keep the verified records, exclusions, and review notes so the list is more usable downstream.
Prospecting and list-building teams
Researchers and data cleanup operators
Agencies reviewing lead data
Internal teams validating business records before outreach

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