This content originally appeared on DEV Community and was authored by Shaalin Parekh
This is a submission for the Agent.ai Challenge: Productivity-Pro Agent (See Details)
What I Built
Sales teams at B2B companies can quickly find people that have the right job titles, but they struggle to find the people that are most likely to buy their product. How do they know who's likely to choose them over a competitor or who's willing to put in the effort to make the case for a purchase internally?
For this, I built an agent that takes a list of your best existing customers, analyzes their LinkedIn profiles and posts, and delivers the deeper trends and patterns among them - how they make decisions, what motivates them, and more. With this, the user can find people that are most likely to be future customers.
Demo
https://agent.ai/agent/icp-builder
https://www.loom.com/share/a801f59d242849ed8aeeeebcbc9c65ca?sid=122356f8-d655-4e0b-9352-80f86a1d35d9
Agent.ai Experience
Building with Agent AI was fun and educational.
Highlights
- Easy to test and debug
- Built in capabilities for Google Search and LinkedIn Profile analysis allowed me to focus on optimizing the final LLM call
Challenges
- Limited integrations (e.g. I needed to run a Google search to get LinkedIn profile URL)
This content originally appeared on DEV Community and was authored by Shaalin Parekh
Shaalin Parekh | Sciencx (2025-01-26T00:17:36+00:00) Build your ideal customer profile in minutes!. Retrieved from https://www.scien.cx/2025/01/26/build-your-ideal-customer-profile-in-minutes/
Please log in to upload a file.
There are no updates yet.
Click the Upload button above to add an update.