By Noel · Updated 2026

According to Gartner, sellers who effectively partner with AI tools are 3.7x more likely to hit quota. Effectively partner. That’s the part most reps skip. When AI Variables first landed, I’ll admit I treated them as a neat icebreaker trick, one clever line at the top of a cold email. But they’ve grown into something bigger: one piece of a full AI outbound stack. Quick definition before we go further. An AI Variable is a placeholder lemlist fills for each lead by running an AI prompt across their data. In this post, I’ll show you 6 practical ways to use AI Variables to scale your outreach.

AI Variables push your outreach to a new level of scale. One prompt handles the tedious work, personalizing each cold email while cleaning up messy lead data. That same prompt can segment your whole list, too. A few clicks, and AI does it across every lead.

You can add AI Variables to the data of your leads in your campaign’s leads list. Here’s how:

Now you know how to add AI Variables to your leads and campaigns, let’s discover some specific use cases.

Before AI Variables, writing personalized messages for every lead used to be a tedious process. Now with lemlist, you just add an AI Variable to your message that changes based on your leads’ data. To give you some examples of what you can do with lemlist’s AI Variables, here are some specific use cases.

What better way to start your cold email than with an icebreaker? AI Variables make it easy to add human-like icebreakers to your cold emails. Here’s how:

Go to your campaign’s lead list and add an AI Variable, as shown in the example above. Name the AI Variable Icebreakers. Then, click on Import template and search for the keyword icebreaker. Use the prompt Icebreaker from Job title. Now copy the prompt and paste it into the prompt field. Generate the icebreaker for one lead first to see if you like the results. If you do, generate the icebreakers for all leads. Then add the {{icebreakers}} tag to your campaign.

Wouldn’t it be cool to compliment the town your leads live in? You would make an instant connection with them. Yes, we know. You could already do that by writing a separate compliment for each lead, but that’s the old and tedious way of personalizing your outreach. Even by using ChatGPT on each lead separately, it’s still a heck of a job.

With AI Variables, you use one prompt on all your leads, and you’re done. You don’t even have to write the prompt yourself because it’s already there in lemlist’s Prompts Library. Follow the steps above to add an AI Variable and give it any name you want. Then, search for P.S. in the Prompts Library and use the Personalized and engaging P.S. line prompt. Then add the name of the AI Variable in curly brackets to your campaign like this: {{aivariable}}.

Some of your lead data may not be optimal for using in a campaign. Weird capitalization or extended versions of company names that nobody uses can give away that you’re using automated messages. With AI Variables, you can bulk edit leads’ data into something usable. Here are two use cases:

Sometimes the extended version of a company name does not work for outreach in a conversational style. You’ll want to refer to the company in the same way that prospects working for the company do. With AI Variables, it’s easy to change all those clunky company names into something smoother.

Create a new AI Variable in your campaign’s lead list. Then search for the Clean Company Name template in lemlist’s Prompts Library. Copy and paste the template into the prompt field of your AI Variable. Try it on one lead with an awkward company name first. If you like what you see, run it on all your leads.

Job titles can sometimes have useless information in them. You don’t want that to appear in your campaigns. So, what can you do instead of manually removing the extraneous info? Use an AI Variable. We already have this template in the Prompts Library! Then, use the clean job titles in your campaign instead of the original job titles that may contain irrelevant or unnecessary information.

AI Variables also offer faster lead segmentation. This lets you quickly laser-focus your campaigns. You can segment leads by any field you have, like industry or company size. Here are two examples:

If you need your leads segmented into B2C and B2B, AI Variables is your friend. Search for B2B in the Prompts Library to find the Identify B2B or B2C companies template. Now you can adjust your outreach based on whether your lead is working in B2C or B2B.

When doing outreach, you may want to spend more time on leads with decision-making authority. But plowing through your leads to find those decision-makers is time-consuming. Well, not anymore. With lemlist’s AI Variables, you can score your leads based on the authoritativeness of their job title. In lemlist, create a new AI Variable and call it “lead score” and use the following prompt:

This lead scoring ranks every lead, so you know exactly who to reach out to first.

AI Variables are the manual-prompt building block. You write a prompt, and lemlist runs it across your leads.

They’re one part of Smart Messaging, lemlist’s AI for generating full outbound sequences. Smart Messaging can also clone your voice from a single recording to create custom audio notes at scale.

The rest of the stack is more automated. The lemAgent campaign builder is a conversational AI copilot. Describe your goal and ICP in a chat, and it builds a full multichannel campaign for your review, usually in under 15 minutes. That campaign covers the sequence, timing, branching, and messages.

AI agentic enrichment sends AI agents to pull lead context from five sources and returns it as ready-to-use variables. Those sources are websites, LinkedIn, past Claap call recordings, Salesforce, and HubSpot.

Intent signal agents track events like hiring changes, funding rounds, tech stack changes, and job changes, then turn that context into signal-based variables for timely outreach. You can also source leads from lemlist’s 600M+ B2B lead database.

An AI Variable is a placeholder lemlist fills for each lead by running an AI prompt across their existing data. That data can come from your CRM or CSV import, lemlist’s database, and any enrichment you’ve added. The prompt runs once and produces a value for every lead.

They use your leads’ existing data, whether it’s imported from a CRM or CSV or pulled from lemlist’s database. They also read any enrichment you’ve layered on top. The AI prompt works across all of it.

A standard merge tag drops in a static field value, like {{firstName}}. An AI Variable computes a new value for each lead instead, such as a cleaned name, an icebreaker, a segment, or a score. So one gives you what’s already there, and the other creates something new.

Yes. One prompt produces a distinct output for each lead. You write it once, and lemlist runs it across your whole list.

So that’s 6 ways to put AI Variables to work. The pattern is simple. Write one prompt, and let lemlist run it across every lead to personalize and organize your outreach at scale. Where you take it from here really is up to your imagination. My advice? Pick one use case and try it on your next campaign. You can start a 14-day free trial and watch what a single prompt does across your whole list.

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