We are already knee-deep in a world where AI can offer tailor-made experiences, replace customer support agents, and help with lead scoring, so if you’re overwhelmed and lost in all the AI sales jargon, we have your back.
Here’s a curated list of the AI terms that matter most for modern sales teams and revenue organizations.
Account prioritization is figuring out which accounts are most valuable to your business, then focusing your team's energy there. As part of this, you have to figure out which accounts bring in the most revenue or are your best long-term customers.
AI briefing is when AI helps automate the pre-briefing work when you’re headed into a sales call. Instead of spending 20 minutes digging through your CRM, various websites, and LinkedIn, it pulls together all the important info about a company or contact so you can show up prepared and jump straight into the conversation.
An AI chat agent is like having a smart coworker who never sleeps. It can talk to potential customers, answer their questions, figure out if they're worth pursuing, and move them closer to buying. Unlike basic chatbots that just spit out canned responses, these agents can actually think through complicated situations and handle real conversations.
An AI inbound sales agent is like having an extra team member who handles all the initial conversations when leads come in. It figures out if they're serious buyers, answers their basic questions, and gets meetings on your calendar so your sales reps can skip the grunt work and focus on closing deals.
An AI lead summary is the cheat sheet that catches you up instantly. It pulls together everything that's happened with a prospect (past calls, emails, notes, etc.) so you're not scrambling through your CRM before a meeting. You get the full story in seconds and can pick up right where things left off.
An AI outbound sales agent hunts down the right people to contact, writes personalized emails or messages for each one, and kicks off conversations to save time on those more tedious tasks. It’s a proactive sales outreach tool that can save hours of time for sales reps each day.
An AI phone assistant is the voice that picks up when someone calls (except it's AI, not a person.) It can have a real conversation, answer questions, and route people to the right place without making callers want to throw their phones. Way better than those "press 1 for sales" robot menus.
An AI-powered A/B testing is when AI runs your experiments for you. Instead of manually testing different versions of emails, web pages, or ads to see what works best, the AI creates variations, tracks what's performing, and automatically doubles down on the winners.
An AI sales assistant is a tool that uses AI to handle administrative work, streamline workflows, and improve sales reps' efficiency, allowing them to focus on high-value activities. Instead of dealing with repetitive tasks, reps can access data-driven insights and do what they do best—close deals.
An AI SDR is an AI-powered sales development rep. It handles the early-stage grunt work of finding leads, sending outreach, and booking meetings so human SDRs aren't spending all day on repetitive tasks.
Artificial intelligence (AI) is tech that can learn and think through problems similarly to the way humans do. It can learn from experience and make decisions on its own instead of just following rigid instructions. It's also the tech behind tools like Siri, Alexa, and those recommendations Netflix gives you. You're probably using it all day without even realizing it.
AI-driven audience segmentation is when AI automatically sorts your contacts into groups based on who they are, what they do, and what they care about. Instead of sending the same generic message to everyone, you can tailor and personalize your approach for each group so you're speaking directly to what matters to them.
Automated email generation is when AI writes and sends emails for you based on an action—like when a contact downloads something, signs up, or hits a certain point in your sales process. The right email goes out automatically at the right moment without you having to manually write or send anything manually.
Behavioral data analysis looks at how people interact with a product, website, or app, and turns those actions into data you can put to work. It watches how they click around your site, which emails they open, what features they use then spots the patterns that tell you what's working, what's not, and where people are losing interest.
Behavioral targeting is showing ads to people based on what they've actually been doing online (like the sites they visit, stuff they look at, things they almost bought). Instead of random ads that aren't relevant, it helps brands match ads to what they’re actually interested in right now.
Brand sentiment monitoring means keeping tabs on what people are saying about your brand online, and whether they're happy, annoyed, or somewhere in between. It helps you catch problems before they blow up and double down on the things people are loving.
AI-powered campaign optimization is when AI tweaks your ads and emails based on data around what's getting results. From there, it automatically adjusts who sees what, what the message says, and where the remaining budget is allocated so that your campaigns continue to improve without requiring you to micromanage every aspect.
Call summarization involves getting the highlights from a sales call without having to listen to the entire recording again. It pulls out what the customer wants, what they're worried about, what was agreed on, and what needs to happen next, so everyone knows what's going on (without digging through messy notes or hour-long recordings).
Content intelligence figures out which of your content is actually landing with people and why. It looks at what gets opened, shared, or ignored, then tells you what's working so you can make more of the content that gets results and stop wasting time on what doesn't.
Conversational AI is a technology that can actually converse with you like a person would, rather than just spitting out robotic responses. It understands what you're asking (even if you word it oddly) and responds naturally, which is why chatting with it feels less like talking to a machine and more like texting a coworker.
Conversion rate optimization tools help you figure out why people aren't buying, signing up, or booking demos, and then fix it. They track what visitors do on your site, show you where they're dropping off, and help you make changes that get more people to take action (like converting into a sale).
Customer insights are the "aha" moments about what makes your customers tick. They come from digging into your data and feedback to understand what people actually want, why they buy (or don't), and what problems they're trying to solve, so you can build and sell based on what actually matters to them.
Deal scoring ranks your opportunities, so you know which ones are actually worth chasing. It’s the process of looking at data points like how engaged the prospect is, how big the deal could be, and how well they fit, then giving each deal a score. This info helps you spend less time on long shots and more time on leads that are ready to close.
Demand forecasting is the process of predicting future demand based on data and trend signals. AI crunches your pipeline data, past deals, and market trends to give you a realistic number so that you can set actual quotas, staff up when needed, and stop getting blindsided by slow quarters.
Dynamic communication adapts your message in real time. Instead of sending the same canned message to everyone, it adjusts on the fly, offering up different content for someone who just visited your site versus someone who's been ghosting you for weeks, so that every message feels relevant.
Email automation uses specific triggers (such as behaviors and schedules) to send targeted emails automatically.
Follow-Up Automation handles all those "just checking in" emails and messages you'd typically have to remember to send. It keeps leads warm and conversations moving forward automatically, so prospects don't slip through the cracks just because you got busy or forgot to ping them.
Funnel analysis tracks where people are falling out of your sales process. It shows you exactly which step is killing deals, so you know what to fix instead of just guessing at why deals aren't closing.
Generative AI is a type of artificial intelligence that generates net-new content (like emails, images, code, etc.) You just give it a prompt like: "write a follow-up email for this prospect," and it creates the content. ChatGPT and DALL-E are a few of the better-known examples of this.
GPT (Generative Pre-trained Transformer) is the brain behind ChatGPT and similar AI tools. It's a specific type of AI that's good at understanding and writing text that sounds human. OpenAI built it, and now it powers many of the AI writing tools you see everywhere.
Hyper-personalization is tailoring everything to the specific person you're talking to, not just dropping their name in an email template. AI digs into each person’s behavior, preferences, and history to customize the message, timing, and content so it feels personally relevant (and not like you're blasting the same thing to 1,000 people.)
Intent data shows you who's actively looking for what you sell, even before they talk to you. It tracks things like what people are searching for, which articles they're reading, and what software they're researching, so you know who's in buying mode and can reach out at exactly the right moment.
Large language models are the AI systems that power tools like ChatGPT. This tech has taken in (and remembers!) millions of books, articles, and websites so it can learn how humans write and talk. As a result, it can have conversations, answer questions, write emails, or help with pretty much any language-based task you throw at it.
Lead qualification involves determining whether someone is a genuine potential customer or just exploring options. AI can do this automatically by looking at whether they fit what you sell, tracking how interested they seem based on their behavior, and spotting early signs indicating they're ready to buy.
AI-driven lead scoring ranks your leads by who's most likely to buy. The AI analyzes tons of signals like engagement, behavior, and timing, and keeps learning what patterns lead to closed deals so it can make predictions about likely future sales.
Machine learning is a subset of AI that learns from data and gets better over time. The more information it takes in, the smarter it gets at predicting what'll happen next, sorting things into categories, or suggesting what you should do next.
Multi-channel outreach is a strategy that reaches prospects across multiple channels (email, phone, social media, ads, and SMS) instead of relying on just one. Some people ignore emails but answer their phone; others are glued to LinkedIn. By showing up in multiple places, you're more likely to get their attention.
Natural language processing is what helps computers understand what you're saying or typing. It’s not just recognizing words, but getting the meaning behind them, and this is how AI can read your messy email, figure out what you want, and respond in a way that makes sense, as a person would.
Next-best action uses AI to tell you exactly what to do next with a lead or customer based on where they are and what they've done. Instead of guessing whether to send an email, make a call, or wait a few days, AI looks at their behavior and situation and says "here's your move", so you're always making the smartest play.
Opportunity risk alerts are warnings that pop up when a deal's about to go sideways. If a prospect stops responding, engagement drops off, or something else seems sketchy, you get flagged so you can jump in and save it before it dies quietly in your pipeline.
A personalization engine is the behind-the-scenes tech that customizes what people see based on who they are and what they do. It tracks their behavior and preferences, then adjusts the content, emails, or product recommendations they get, so everyone's experience feels like it was made specifically for them (because it basically was).
Pipeline growth is how fast you're adding solid new deals to your pipeline by indicating whether your prospecting and marketing are actually working. If the number continues to increase with quality opportunities, you're in good shape. If it's flat or shrinking, you've got a problem before it even hits your forecast.
Predictive analytics uses data and patterns to forecast what is likely to happen next. It turns historical behavior into forward-looking insight so teams can act early. Predictive analytics helps companies make proactive decisions and spot risks before they unfold.
Real-time interaction is responding to someone instantly when they do something, like hitting them with a chat message the second they land on your pricing page, or sending a text right after they fill out a form. You're catching them while they're hot and interested, not three days later when they've already moved on.
A recommendation engine is an AI system that suggests things a user might want based on what they've looked at or done before. It's how Netflix knows what shows to suggest next; the AI watches patterns and makes educated guesses about what a person will be into based on those behavioral patterns.
Sales automation takes all the tedious, repetitive tasks off your plate (things like logging calls, sending follow-ups, updating records, and routing leads to the right rep). Instead of burning hours on administrative work or hoping you remember to ping someone next Tuesday, the system handles it, allowing you to focus on selling.
A sentiment analysis reads between the lines to figure out if someone's happy, pissed off, or somewhere in the middle. It looks at the words people use in emails, reviews, or support tickets to gauge their moods, so you can catch angry customers before they bail or double down on what's making people happy.
Smart lead generation, or AI lead generation, uses AI to find people who actually want what you're selling, not just random names that fit a profile. It looks for real buying signals (like who's researching your competitors or visiting pricing pages), so you're reaching out to prospects who are already interested instead of cold-calling strangers.
Speech-to-text turns what you say out loud into written words. It's what lets you dictate texts instead of typing, powers voice assistants like Siri, and automatically transcribes your sales calls so you don't have to take notes while you're talking.
Targeted outreach is reaching out to people who actually make sense for what you're selling, not just blasting everyone you can find an email for. You pick prospects based on whether they fit your ideal customer, show buying signals, or have a real problem you can solve, so your messages land instead of getting ignored or deleted.
AI has already reshaped sales, and we are still only at the beginning of what it can do for business growth. Here’s the reality: teams that adopt AI-powered sales tools early gain a massive first-mover advantage.
Ready to weave AI into your workflow to handle time-wasting CRM tasks while you focus on closing more deals? Try Close for free.