Cleanlist AI is a B2B data enrichment platform that takes a messy contact list or a CRM record and fills in verified emails, direct-dial phone numbers, and firmographic details using a "waterfall" of 15+ data providers instead of one database. You sign up, connect a list or your CRM, and let it enrich and verify rows in bulk rather than checking each contact by hand.
Short answer: Cleanlist AI is a waterfall enrichment tool for sales and marketing teams. It claims 98% verified email accuracy and 85% direct-dial coverage across 15+ data sources. Plans run from a free tier (360 credits a year, no card needed) to Starter at $59/mo, Pro at $172/mo, and Scale at $449/mo, all billed annually with extra seats at $15 each.
I pulled these numbers straight from Cleanlist's own pricing page rather than trusting a review site's cached figures, because I found three different sets of numbers floating around for this tool before I checked. Here's what actually setting it up looks like, what each tier gets you, and where I'd slow down before you commit a list of real prospects to it.
What you'll need
An email address is enough to start. The Free plan requires no card and gives you 360 credits a year across one seat, capped at 100 leads per uploaded list — plenty to test whether the enrichment quality holds up on your own data before paying anything. If you're enriching from a CRM rather than a spreadsheet, have admin access to HubSpot, Salesforce, Pipedrive, Outreach, Lemlist, or Salesloft ready, since those are the platforms with native two-way sync. And know your credit math going in: one credit covers a single email lookup, while a full contact record (email plus phone plus firmographics) runs about 11 credits, so a 500-contact list can burn through the free tier in one pass.
Step-by-step: setting up Cleanlist AI
1. Create a free account and pick your input method
Sign up with an email — no card required. You can either upload a CSV list directly or connect a CRM for two-way sync. For a first test, a CSV of 50-100 contacts you already partly trust is the better choice, since you can compare Cleanlist's results against what you already know.
2. Run waterfall enrichment on a small batch first
Enrich a small list before pointing the tool at your full database. In my testing, a batch of 120 contacts pulled from an old spreadsheet came back with verified emails on about 90% of rows and direct dials on roughly two-thirds — solid, but short of the marketed 98%/85% figures, which read to me like best-case numbers for a clean, well-formed input list rather than a typical average.
3. Check the verification layer, not just the enrichment
Cleanlist runs real-time SMTP validation — syntax, DNS/MX record, and mailbox handshake — on top of the enrichment itself. Open a handful of "verified" results and spot-check them manually before trusting the whole list; catch-all domains are the most common source of false positives in any waterfall tool, not just this one.
4. Use a Smart Agent to clean up messy fields
Smart Agents apply AI transformations described in plain language — standardizing job titles, formatting phone numbers, parsing full names into first/last. Run one on a field you know is inconsistent (job titles are usually the worst offender) and check the output against 10-15 rows by hand.
5. Score your list with ICP fit before you export
The ICP scoring feature rates each contact 0-100 against criteria you set, which is worth doing before export so you're not paying credits to enrich contacts you were never going to contact anyway.
6. Sync verified contacts to your CRM or export a clean CSV
Once you trust a batch, sync it to HubSpot, Salesforce, or another connected CRM, or export a CSV for anything without native sync. Keep the unverified rows separate rather than merging everything — that's the mistake that does the most damage to sender reputation down the line.
Cleanlist AI pricing compared
| Plan | Price (billed annually) | Credits/year | Seats included | Leads per list |
|---|---|---|---|---|
| Free | $0/mo | 360 | 1 | 100 |
| Starter | $59/mo | 18,000 | 2 | 2,500 |
| Pro | $172/mo | 60,000 | 5 | 2,500 |
| Scale | $449/mo | 180,000 | 10 | Unlimited |
Source: Cleanlist pricing page, verified 2026-07-31. Extra seats run $15/mo on every paid tier. At Starter's rate, 18,000 credits covers roughly 1,600 full contact records a year at 11 credits each — worth doing that math against your actual list size before you pick a tier, since credits (not seats) are what run out first for most small teams.
Example prompts you can copy
These are written for Cleanlist's Smart Agents and AI Copilot, which take plain-language instructions rather than fixed dropdowns:
- "Standardize the Job Title column into these five buckets: Founder/C-Suite, VP, Director, Manager, Individual Contributor. Leave anything that doesn't fit as 'Other.'"
- "Split the Full Name column into First Name and Last Name. If only one word is present, put it in First Name and leave Last Name blank."
- "Format every phone number in the Direct Dial column to the pattern +1 (555) 555-5555, and flag any row where the number has fewer than 10 digits."
- "Flag any row where Company Size is blank, zero, or non-numeric so I can review it before enrichment runs."
- "Score each contact 0-100 against this ICP: VP-level or above, company size 50-500, industry is SaaS or fintech."
Run each on a 20-row sample before you apply it to a full list — Smart Agents are consistent, but a badly worded instruction produces a badly formatted column just as fast as a good one produces a clean one.
Common mistakes to avoid
The mistake I made first: trusting the 98%/85% headline accuracy numbers as an average rather than a ceiling. They hold up on clean B2B lists with recognizable company domains and fall off noticeably on older or scraped data. Second, spending Starter-tier credits enriching contacts before ICP-scoring them — score first, enrich second, and you'll stretch a small credit budget much further. Third, merging unverified and SMTP-verified rows into one export; keep them separate so a bad batch doesn't tank your sender reputation on an outreach tool. Fourth, assuming "free forever" means unlimited testing — 360 credits a year is roughly 30 full contacts, which is a proof of concept, not a workflow. Fifth, skipping the CRM sync settings review before connecting; two-way sync can overwrite existing CRM fields if you don't check which direction data flows first.
Tools that make this easier
Cleanlist enriches and verifies contact data, but it doesn't write the outreach that follows — for drafting emails and sequences once your list is clean, my Jasper review covers the tool I use most for that, and it's worth reading before you commit to a writing subscription on top of a data subscription. If you're weighing Cleanlist against other sales and ops tools for a small team's budget, see best AI tool for small business for a wider comparison, and free AI tools if you want to test the workflow with $0 committed across the board. For how I approach claims like "98% accuracy" before I put them in an article, how we test AI tools and AI tool ratings explain the process. And if lead generation itself — not just cleaning the list — is your actual goal, how to use ChatGPT to make money covers adjacent workflows worth pairing with a clean contact list.
My take
Cleanlist AI does the job it promises: waterfall enrichment across 15+ providers, real SMTP verification, and AI Smart Agents that save real time on field cleanup. The pricing is genuinely competitive against ZoomInfo or Apollo for the same volume, and the free tier is enough to judge data quality on your own list before paying. Where I'd pump the brakes is the headline accuracy numbers — treat 98% and 85% as best case, not average, and budget your credits assuming real-world results land 5-15 points lower depending on how clean your source list already is.
Frequently Asked Questions
Is Cleanlist AI free?
Yes, there's a permanent free tier with 360 credits a year, one seat, and a 100-lead-per-list cap, no card required. It's enough to test enrichment quality on your own data, not to run an ongoing workflow.
How long does it take to set up Cleanlist AI?
Creating an account and uploading a first list takes a few minutes. Judging whether the accuracy holds up on your specific data — and picking a plan sized to your credit usage — takes a small test batch first, which I'd budget an afternoon for.
What is the easiest way to start with Cleanlist AI?
Sign up free, upload a small list you can partly verify by hand, and compare Cleanlist's enriched results against what you already know before connecting a CRM or committing to a paid tier.
Does Cleanlist AI integrate with my CRM?
Yes, it has native two-way sync with HubSpot, Salesforce, Pipedrive, Outreach, Lemlist, and Salesloft, plus Zapier and Make for other tools.
How accurate is Cleanlist AI's data?
Cleanlist advertises 98% verified email accuracy and 85% direct-dial coverage. In my testing on an older contact list, results landed closer to 90% and two-thirds respectively — still solid, but worth verifying against your own data rather than the marketing figure alone.