Your social media followers and email contacts represent a vast, untapped network. AI tools can analyze this data, enrich it with public information, and scan for context to identify high-value individuals—like investors or media—who are already in your orbit but whom you are unaware of.
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Don't unleash a generic AI agent on your entire database. To get high response rates, segment contacts into specific sub-personas based on role, behavior, or status (e.g., churn risk). Then, train dedicated sub-agents or campaigns for each persona, allowing for true personalization at scale in batches of around 1,000 contacts.
Honeybook built a ChatGPT agent that logs into LinkedIn, searches for candidates based on a job description, and applies nuanced filters (e.g., tenure, location, activity). This automates a time-consuming, multi-step workflow, freeing up the hiring team for higher-value tasks.
Podcast interviews are a powerful tool for building relationships with otherwise inaccessible decision-makers and mentors. Offering someone a platform to share their expertise is a more effective way to get their attention than a cold email, creating genuine connections and business opportunities.
The most powerful use of AI for business owners isn't task automation, but leveraging it as an infinitely patient strategic advisor. The most advanced technique is asking AI what questions you should be asking about your business, turning it from a simple tool into a discovery engine for growth.
Instead of a generalist AI, LinkedIn built a suite of specialized internal agents for tasks like trust reviews, growth analysis, and user research. These agents are trained on LinkedIn's unique historical data and playbooks, providing critiques and insights impossible for external tools.
A powerful, untapped use case for AI is reviving neglected leads directly within your CRM. An agent native to Salesforce can access all historical data to send highly personalized follow-ups to thousands of leads your team previously ghosted, effectively turning forgotten data into new opportunities.
The list of people who recently viewed your profile is a source of pre-qualified leads. Initiate contact with a personalized connection request based on a non-sales commonality (e.g., location). If they accept, follow up by offering value, not a sales pitch.
The company developed an AI that conducts highly technical expert network interviews, automating a high-friction manual process. This enables new, scalable content creation like monthly channel checks across dozens of industries—a task too repetitive for human analysts to perform consistently at scale.
To secure a critical partnership with Beyond Meat after another deal collapsed, Emma Hernan didn't use traditional channels. She systematically reached out to every account Beyond Meat followed on social media, correctly assuming this network contained employees or close connections, and successfully landed the deal.
Traditional pre-qualification uses rigid scripts, potentially missing high-value clients who don't fit the mold. Agentic AI analyzes conversation nuances to identify various customer archetypes and high-intent signals beyond the primary avatar, ensuring top prospects aren't overlooked.
