How It Works
From CRM connection to automated workflows — click a topic to dive in.
Talk to Your Data
Formulas and workflow builders shouldn't be required to filter a list.
Natural language data operations let you control your CRM data by typing plain English commands instead of writing formulas, building visual workflows, or learning query syntax. ListPlus understands commands like "find contacts without email", "normalize all phone numbers", or "tag decision-makers as VIP" and executes them instantly — while your actual data never leaves your browser.
The Problem: Too Many Tools Require Technical Skills
To filter contacts in most CRM tools, you need to navigate complex filter UIs with nested conditions. To clean data, you write regex patterns or Excel formulas. Tools like Clay require building visual workflows for every operation. For RevOps teams without a developer, this means either spending hours learning tools or waiting on someone technical. Data operations should be as simple as describing what you want.
Just Type What You Want
Type a command in the AI input field — like "show me contacts from Germany without a phone number" or "select rows where the email domain is gmail.com". ListPlus's AI understands your intent, generates a structured command, and executes it instantly on your data. No formulas, no visual workflow builders, no query syntax. 33 different conditions across 8 categories cover everything from simple filters to semantic relationships.
Privacy-First: AI Never Sees Your Data
Unlike other AI-powered data tools, ListPlus uses a unique connector architecture. The AI only generates structured commands (like {action: "select", condition: "empty", column: "email"}). Your browser then executes these commands locally on your data. Rows, emails, names, and contact details never leave your browser and never reach the AI. This is fundamentally different from tools that send your data to AI models for processing.
Example Commands
"Find all personal emails" • "Normalize phone numbers to international format" • "Select contacts where country doesn't match territory" • "Tag all C-level executives" • "Show me duplicates by company name" • "Select variations of USA in the country column" • "Find contacts without a job title at companies with more than 100 employees"
Frequently Asked Questions
Does the AI see my contact data when I use natural language commands?
No. ListPlus uses a unique connector architecture where the AI only generates structured commands (e.g., "filter column 3 where value is empty"). Your browser executes these commands locally. Your rows, emails, names, and contact details never leave your browser.
What kinds of operations can I do with natural language?
You can filter and select rows, modify values in bulk, tag and organize records, validate emails and phones, normalize country names and phone numbers, find duplicates, and analyze data quality. The system supports 33 conditions across 8 categories.
How is this different from Clay's workflow builder?
Clay requires you to build visual workflows by connecting blocks for each operation. ListPlus lets you type what you want in plain English — "find contacts without email" — and it executes instantly. No workflow configuration, no learning curve, no drag-and-drop.
Can I use natural language commands in languages other than English?
The command input currently works best in English, but the operations themselves work on data in any language. For example, "normalize country names" will handle German, Spanish, French country name variants correctly.
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