AI in Sales Research: Qualification and Personalization (Pt 1: Qualification)

In today’s messy and competitive sales environment, two things matter more than ever: targeting the right leads and writing messages that stand out. This used to require a lot of manual effort, from sifting through data to tailoring outreach messages. 

But in today’s world, sales teams can automate and enhance these tasks. The two core areas where AI is revolutionizing sales research are lead qualification and personalization.

Benefit 1: Enhanced Qualification of Leads

AI’s ability to automate lead qualification is one of the most powerful tools for modern sales teams. By automating the research process, AI ensures that salespeople only focus on leads that are most likely to convert, cutting down on wasted time and effort.  It’s not like sales teams haven’t been doing it. But, let’s pretend I sell hotel management software and I only sell to hotels that have more than 100 rooms (spoiler alert). Can you imagine how boring and time-consuming it is to go through the website of each and every hotel and look through how many rooms they have?

That is one of the many ways GodmodeHQ can save you tons of time. Here's how come of your customers have done it

1. Hotel Software Providers: Room-Based Qualification

   • One of our customers makes hotel management software, as you might have guessed from the paragraph above. Our AI, in seconds, scans for them how many rooms each hotel in their list of leads (which our AI also found for them, not to brag or anything) has. Here’s what the results look like: 

     

2. Cybersecurity Firms: ISO and Compliance Certifications

   • Another customer of ours is a Cybersecurity consultant. They use AI to search databases for companies with specific certifications, such as ISO 27001 or GDPR compliance. This automated process drastically reduces the time required to check whether a lead is eligible for the cybersecurity solution, allowing the sales team to engage with confidence.

3. Venture Capital Firms: Investment Type Filtering

   • We have 2 VC customers. One of them uses GodmodeHQ to find out about the past ventures of a founder, and the other uses it to find what kind of investments their prospective investors have made to qualify them. 

4. Payment Providers: Understanding Pricing Plans

   • One of our first customers is a usage-based payment provider. Our AI helps them qualify leads by identifying the pricing models their prospects currently use by stalking their website. 

5. Manufacturing Firms: Location and Supply Chain Data

   • Manufacturing companies use our AI to qualify leads based on the size and location of facilities or supply chain data. Our AI analyses public reports and shipping volumes to determine the operational footprint of a prospect, to identify high-potential leads more effectively.

6. Healthtech Companies: Patient Volume and Specialization

   • Healthtech firms qualify leads based on patient volume or hospital specialisation. AI pulls data from healthcare databases and public records to quickly identify relevant prospects, such as hospitals treating a specific number of patients annually or specialising in certain fields like oncology, saving the sales team hours of manual research.

Across these industries, AI-driven qualification isn’t just faster—it’s far more precise. Sales teams can focus on leads that match their product or service, maximizing their chances of closing deals while reducing time spent on dead-end prospects.

Find part 2 on our website for how our AI agents can use research to personalise messages to leads on scale.