Lusha's AI Recommendations surface contacts that are likely to be a good fit for your outreach - without you having to manually search and filter every time. Instead of starting from scratch, you get a curated shortlist of high-potential prospects based on your ideal customer profile (ICP) and behavioral signals.
💡 Note: AI Recommendations are available on Premium and Scale plans only.
Key concepts
AI Recommendations - contacts Lusha's algorithm identifies as high-fit based on your ICP and account behavior
Intent signals - signals that indicate a company or contact is actively researching a topic relevant to your product
ICP (Ideal Customer Profile) - the type of company and contact most likely to buy from you; Lusha uses your existing data to learn this pattern
AI scoring - each recommended contact is ranked by likelihood of fit, so you can prioritize the most relevant leads first
How recommendations are generated
Lusha's AI analyzes several data points to surface recommendations:
Your reveal history - contacts you've already revealed tell Lusha what kind of prospect you care about
Your CRM data (if connected) - Lusha learns from your existing customers and pipeline
Intent data - Lusha monitors topic-level research activity across the web; companies actively researching topics relevant to your category are ranked higher
Firmographic fit - industry, company size, revenue, and location are matched against your ICP
The algorithm improves over time as you reveal more contacts and connect more data sources.
How to use AI Recommendations
Go to your Lusha Dashboard.
View the AI Recommendations at the bottom of the screen.
Browse the recommended contacts - each shows their name, title, company, and a fit indicator.
Click Reveal on any contact to unlock their data (uses 1 credit).
Use Save to List to add them to your outreach pipeline.
Use the Intent Topics filter to narrow recommendations by the research signals that matter most to you.
How to improve your recommendations
Connect your CRM - the more data Lusha has about your existing customers, the better the ICP match
Reveal consistently - your reveal behavior trains the model; revealing contacts that match your ICP helps surface more like them
Use intent filters - narrowing by intent topic focuses recommendations on companies showing active buying signals
What the AI does not do
Lusha's AI Recommendations do not guarantee that a contact will be interested in your product. They surface contacts that fit a statistical pattern — your judgment about whether to reach out always comes first.