AI in ListPlus · Built in
Describe what you need in plain words. The research agent, the list assistant and the checks are built into ListPlus — nothing to set up.
No account needed.
The ListPlus research agent.Every match comes with its source.
“We’re looking at alternatives for our enrichment workflow.”LinkedIn comment · matching signal
Your assistant, right in the list.Tell it what to do in plain words.
Triggers with AI in the steps.Also on records your agent writes.
Built into ListPlus. You decide what they can change.
Try a sample list01 / Find new leads
Say who you’re looking for. The ListPlus agent researches on its own, even with your window closed. Or hand the same brief to Claude, ChatGPT or your own agent.
Choose a role, a market or a signal such as a funding announcement. The agent uses the sources relevant to that task.
Every match shows its source and why it fits. Open the example sources to see what that looks like.
Find founders of German fintechs that raised their first funding round in the last 90 days.
| Company | Founder | Why they match |
|---|---|---|
| Nordlicht PayBerlin · Fintech | Ava SteinCo-founder & CEO | First round · 3 weeks agoView example source: Nordlicht PayCompany announcement · 3 weeks ago Berlin-based fintech Nordlicht Pay announces its first funding round. Co-founder and CEO Ava Stein says the investment will support its payments platform. |
| Forma FinanceHamburg · Fintech | Noah WolfFounder & CEO | First round · 5 weeks agoView example source: Forma FinanceCompany announcement · 5 weeks ago Forma Finance, a fintech based in Hamburg and founded by Noah Wolf, has closed its first external funding round to expand its finance software. |
| Helio LedgerMunich · Fintech | Ella BrandtCo-founder | First round · 8 weeks agoView example source: Helio LedgerCompany announcement · 8 weeks ago Munich fintech Helio Ledger has secured its first funding round. Co-founder Ella Brandt will lead the rollout of its accounting platform. |
Click a number in the image to learn more.Tap a number. Swipe sideways to see more areas.
02 / Clean up your lists
The checks show what’s wrong. Tell the assistant in your list what to do, or let your own agent request the fix.
Missing job titles, duplicates, inconsistent company names: you get specific findings and the contacts behind them.
Correct values, merge duplicates or enrich missing details with the tools you allow.
Fill only empty fields to keep existing values. Details that cannot be found stay visible for review.
Check this list and fill in the missing job titles.
| Contact | Job title before | Job title after |
|---|---|---|
| Maya ChenNorthstar Labs | Job title beforeMissing | Job title after Head of OperationsAdded by enrichment |
| Leo MartinForma Studio | Job title beforeSales Director | Job title after Sales DirectorExisting value kept |
| Sam RiveraArbor Cloud | Job title beforeMissing | Job title after MissingNot found · review |
The research briefing explicitly tells your agent never to invent an email address. ListPlus gives it lookup and verification tools to find and check real data.
Enrichment looks up the person with data providers.
verify_email checks whether a found address is deliverable.
No reliable result? The instruction is to leave the field empty.
You choose which tools the agent may use. Finding an address and verifying it are separate steps.
03 / Automate the next step
Set a rule once. Every new or changed record follows it, whether it came from an agent, an import or a webhook.
When a record meets your conditions, they enrich it, set its status or hand it to a pipeline.
Records with a missing field or on your customer list wait for review. Customer lists are part of Pro.
Email drafts get a personal line for each contact. You read every draft before it goes out.
Illustrative run · New from your agentMaya Chen, Head of RevOps at Northstar
04 / Connectors & control
The connector works with your records. The AI gets the values needed for the task. To standardize country names, for example, the model receives the distinct country values. Names, emails and the rest of each record stay out of that request.
In the list assistant: “Standardize country names.”
Names, emails and phone numbers are not sent. The mapping from values to record IDs (ar_id) stays with the connector.
rows in your list
distinct values to standardize
rows updated after your review
3,000 rows were already consistent.
The connector uses record IDs to update every matching row.Find rows, select decision-makers, standardize values or fill a column. The assistant turns your instruction into a command. The connector executes it on the list.
The model evaluates the relevant values, not every complete record. Repeated values share one answer. This reduces input tokens and helps keep large lists economical to process. The saving depends on the task, values and model.
No. The research agent, the list assistant, the checks and the rules are built into ListPlus. Try them on the sample list without an account. If you already run Claude Code, Claude or ChatGPT, you can connect it as well.
Only what the task needs. To standardize country names, the model receives the distinct country values, not your records. AI runs in EU data centers by default, without data retention at the model provider and without training on your data.
The standard checks and their fixes cost no credits. AI research, AI checks and AI columns use credits as listed on the pricing page; email and phone lookups are charged only when found.
No. A found value, an email-verification result and a record meeting your list’s requirements are different things. Run the checks and verify emails before you use the contacts.
Lead research, cleanup and the steps that follow — built into ListPlus.