ChatGPT has ignited excitement in the GTM community about how AI can modernize sales workflows and software builders have taken notice. There are hundreds of AI tools for sales on the market today, many of which were launched in the last 12 months. This explosion of new solutions begs the question - how is a sales leader to know which products are all hype and which are the real deal?
We live and breathe sales and AI at Aomni. As founders and former sales leaders ourselves, we understand the pain points like inefficient prospecting, repetitive admin work, and slow rep ramping that drain time.
After evaluating hundreds of AI products for sales, we share favorites that have impressed us the most. We actually use many of these in our own day-to-day work. Our hands-on experience means we can cut through the noise to spotlight platforms that actually move the needle for B2B sales and revenue organizations.
Read on for our top AI picks to level up your sales stack. We're confident these will fast-track your team's productivity just as they have for us. Here are some of our favorites, broken down by category:
The next generation of sales engagement software employs language models (LLMs) to enrich prospect data, draft personalized outreach, and suggest sales activities. These tools drive efficiency and results through AI personalization, algorithm recommendations and process automation.
AI engages prospects across platforms from LinkedIn to email, optimizing pipeline KPIs. For example, many top solutions use prospect details from data enrichment software and LLMs to craft customized cold emails at scale. Cutting-edge platforms even employ AI agents to independently research prospects and weave insights into ultra-relevant messaging.
Our top choices:
Luna – Luna is an innovative software application that leverages AI to automatically identify and recommend new, relevant leads on a daily basis. The platform then sends personalized outreach emails to those high-potential prospects, ensuring they receive tailored messaging rather than generic spam. This saves reps time on lead research while increasing connect rates through one-to-one email personalization powered by AI.
Ubique – Ubique uses AI-generated video messaging to boost prospect engagement and sales conversations. Their standout technology clones a rep's voice and face from a single recording to efficiently create personalized, lifelike video messages at scale. This uniqueness helps increase video open rates and prospect replies by making outreach feel like a customized 1:1 video tailored just for them.
Lemlist – Lemlist's Chrome extension lets you easily capture individual contacts or full lists and import them into campaigns. It then creates personalized outreach leveraging each prospect's information. The platform automatically builds tailored, high-quality sequences aligned to your offering and ideal customer profile. This includes customized icebreakers, pitches, CTAs, and more to grab attention and build trust. Lead info informs dynamic outreach that resonates.
Data is the fuel that any effective sales motion runs on. With deals becoming increasingly competitive in today’s economic environment, high-quality data is an asset that sets winning sales teams apart from the pack. Sales and GTM organizations utilize multiple types of data in their workflows to optimize their pipelines. Some of the most commonly used data types include:
Our top choices:
For B2B startups, account planning enables you to craft tailored messaging, uncover expansion potential, and build executive relationships to accelerate sales cycles. It shifts the mindset from opportunistically chasing deals to forging long-term, trusted relationships. The goal is to become a valuable partner to your customers by deeply understanding their business, challenges, and goals.
If this sounds like a lot of work, it’s because it is. At least, without the help of AI. Most strategic sales professionals spend anywhere from 6 hours to a day planning each account in their pipeline. A new crop of companies is building advanced LLM-based products that aim to cut this time by at least 80%, dramatically increasing the productivity of enterprise sales teams.
Our top choices:
Getting a meeting is only half the battle for revenue organizations. Once a discovery call is booked, you need to show up prepared to demonstrate to your buyer that they can rely on you to deliver results for their business. This means using face-to-face interactions as an opportunity to build rapport, credibility and trust.
Until recently, the data in these critical interactions was siloed within static call notes. Now with AI, there’s a better way to glean insights from sales conversations, identify trends across opportunities, and automate the more tedious aspects of notetaking. There are a lot of AI meeting recording tools on the market, but these are the only two that truly impressed us.
Our top choices:
As sales leaders know all too well, training and coaching sales reps is a slow and expensive process. This is doubly true at startups, where underperforming sales reps can hurt a company’s chance of success. It’s no surprise that organizations are investing in AI technology to assist with these jobs.
AI is increasingly being used by sales organizations to scale up managers' capabilities for training and coaching. For example, AI-powered sales coaching platforms can provide personalized guidance and feedback to reps based on analysis of their actual sales conversations and pipeline data. These systems point out gaps versus best practices and nudge reps to make small improvements over time.
Our top choices: