Clean vs ClearICP

Clean helps business-to-business teams identify prospective buyers by connecting company records to possible reasons to buy. Signals include loans, permits, customs shipments, supplier changes, and contract wins; each record keeps dated evidence that users can check. For each company, Clean can provide relevant contacts, their roles, verified work email and phone details, and possible warm paths through the customer’s network. It reads company websites and supplied documents to learn what a business sells and who might buy it. Clean supports account matching, firmographic filters, technographic data, and intent signals, with AI-assisted scoring. Integrations include LinkedIn, Gmail, HubSpot, Granola, Attio, Salesforce, Clay, Apollo, Outreach, Salesloft, LinkedIn Sales Navigator, Slack, Notion, and Gong. Gmail is optional and read-only, syncing threads only for selected prospects. Clean is a paid product operated by Clean AI Labs, Inc.; prospective customers book a demo to get access, and pricing is available on request.

ClearICP analyzes customer datasets to build Ideal Customer Profile hypotheses, segment customers, and produce reports for sales and marketing work. Users upload CSV or Excel files, map their columns, and have the system process records individually. Segmentation places customers in a value-and-potential matrix to support prioritization. Teams can customize dimensions across firmographic, technographic, behavioral, psychographic, and contextual categories. Reports can include an ICP summary, qualifiers, disqualifiers, signals, and scoring guidelines, with PDF and CSV export options. Users can also export directly to Salesforce and HubSpot. ClearICP says a human reviews each engagement and works with the client team to refine its recommendations. The web service offers a free preview for 10–15 customer records, without exports. The maker says customer data is not used to train AI models; datasets default to 90-day retention, configurable by workspace policy.