Cleanlist AI

About Cleanlist AI

Cleanlist AI is a lead generation and enrichment tool that converts prospecting inputs into verified, CRM-ready contact lists. Users can upload CSVs, paste LinkedIn or Sales Navigator URLs, input domains, or apply search filters, then the platform's AI agents handle contact enrichment, email verification, lead research, and CRM synchronization. The system runs a 15-provider enrichment waterfall and includes AI research columns that answer plain-English questions about each lead.

Review

Cleanlist AI consolidates the multi-step workflow of exporting, enriching, verifying, and importing lead data across separate platforms. The core mechanism is straightforward: feed it prospecting inputs, let the enrichment waterfall resolve contact details, and sync the results to HubSpot or Salesforce. The credit model is a key structural choice-users are only charged when enrichment returns a result, and the waterfall stops at the first confident match rather than querying all providers on every lead.

Key Features

• Multiple input methods: CSV uploads, LinkedIn and Sales Navigator URLs, domain lists, manual People Search filters, and a Chrome extension for pulling leads from LinkedIn profiles.
• 15-provider enrichment waterfall that resolves verified emails, direct dials, and 50+ data fields, stopping at the first confident match to manage cost.
• Smart Agents that run per-row research tasks from plain-English prompts-checking a company's CRM platform, recent hiring activity, SOC 2 mentions, or ICP fit.
• One-click CRM sync to HubSpot and Salesforce with configurable rules: default fill-empty-only, with options to overwrite or append per property, and email-based deduplication against existing contacts.
• API and MCP server access so users can drive prospecting and enrichment from external tools like Claude Code or Cursor.

Pricing and Value

Cleanlist AI operates on a credit-based system. A free tier includes 30 credits with no credit card required. One credit covers a verified email regardless of how many waterfall providers were queried. Users are only charged when enrichment returns a result-a miss costs nothing. The Product Hunt launch includes a PH25 code for 25% off indefinitely. Specific paid plan tiers and per-credit pricing beyond the free tier are not detailed on the current page.

Pros

• Credit-only-on-match model means failed lookups don't consume credits, shifting cost risk away from the user.
• The waterfall queries 15 providers but stops early on a confident match, so most records resolve quickly without running the full stack.
• Smart Agents let users ask row-level research questions in plain English and get populated columns back.
• CRM sync includes deduplication logic (matches on email in HubSpot) and per-property write rules, reducing manual cleanup.
• Multiple start points-CSV, LinkedIn URLs, domains, search filters, Chrome extension, API, and MCP-cover a range of prospecting workflows.

Cons

• Data provenance is stored per enriched field but not yet surfaced in the UI; retrieving which provider supplied a given contact's details currently requires contacting support.
• Lawful basis documentation for UK and EU GDPR compliance is not yet published as a public page, though the team has stated it is in progress.
• The tool is not well suited for organizations that need immediate self-serve access to enrichment provenance records for subject access requests or compliance audits without relying on support channels.

Cleanlist AI fits teams that want to collapse a multi-tool prospecting stack into a single workflow and are comfortable with the current support-dependent path for compliance queries. It's less appropriate for buyers whose procurement process requires public, self-serve documentation around data provenance and lawful basis before purchase. The credit-only-on-match model and Smart Agents make it worth testing for sales teams that regularly work from stale CSVs or need per-lead research at scale.

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