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.

Many businesses generate social media followers but fail to convert inbound chats into sales due to a lack of time. An AI sales chatbot directly addresses this by automating conversations and turning dormant interest into qualified leads, effectively creating a new revenue stream from an ignored channel.

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.

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.

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.

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.