This is a submission for the Agent.ai Challenge: Full-Stack Agent (See Details)
This is a submission for the Agent.ai Challenge: Productivity-Pro Agent (See Details)
This is a submission for the Agent.ai Challenge: Assembly of Agents (See Details)
What I Built 🤖
SocialSelling Radar is an AI agent that analyzes the latest posts published by a specific individual on the social media platform of your choice (LinkedIn, Twitter, or Bluesky) in order to detect interest signals, identify needs, and uncover new sales opportunities. By providing a concise summary, it helps you effectively target prospects and refine your Social Selling strategies.
Key Features đź’ˇ
- Targeted Analysis: The user selects a specific profile (e.g., a potential lead) and chooses the platform (LinkedIn, Twitter, or Bluesky) to retrieve recent posts.
- LLM Analysis: Utilizes a language model to analyze the data from recent posts and identify needs as well as topics of interest.
- Integrations:
- HubSpot AI Notetaker: Automatically creates notes in the HubSpot contact record, allowing you to maintain a direct history of information. Agent Link: HubSpot AI Notetaker
- MailCrafter AI: Sends the analysis results via a formatted, visually appealing email. Agent Link: MailCrafter AI
These integrations rely on AI Agents specifically created to communicate with each other, and they can also be used independently.
Thanks to these features, the Agent helps streamline prospecting efforts, collect relevant insights about a specific prospect, and centralize key data within a CRM and/or through email notifications ✉️
Demo 🎬
Agent Link: SocialSelling Radar
Below is an example of the analysis result generated by SocialSelling Radar:
SocialSelling Radar
Jean Dupont regularly posts about digital transformation and the use of Artificial Intelligence (AI) in industry. He notably discusses the challenges of integrating new solutions into production processes and emphasizes the need for specialized support.
Opportunities and Sales Signals
• AI Support: Jean mentions difficulties finding reliable partners to implement AI solutions and optimize production lines.
• Team Training: His posts suggest a need for internal training targeting both commercial and technical teams to better showcase these emerging technologies.
• CRM Management: He frequently highlights the importance of centralizing customer data, indicating an interest in integrated CRM solutions.
• Request for Feedback: Jean often seeks input from other industry professionals, hinting at a need for benchmarking and best-practice advice.
Recommended Actions
• Get in Touch: Offer a conversation to address his main challenges in AI and present your support services.
• Product Demonstration: Highlight your CRM solutions and AI expertise, demonstrating concrete examples of productivity gains and cost reductions.
• Offer a Diagnostic: Propose a mini-audit or benchmark to evaluate digital maturity and identify improvement opportunities in his company.
• Plan Targeted Training: Develop a training module for sales and technical teams to facilitate the adoption and integration of AI.
Agent.ai Experience 🤝
I loved building an agent so easily, thanks to the native features already offered by Agent.ai: social media integrations, AWS Serverless Functions, web API calls, LLM… and much more. It provides a very promising glimpse of the future of AI Agents: this is just the beginning, and the more the platform offers new options to integrate, the more we will be able to accomplish.
I did not encounter any issues with social media APIs because Agent.ai already provides a ready-to-use tool for retrieving data. However, I did face challenges in processing and converting data, which required me to create some Serverless Functions. I also noticed that the loop function is not the same as on HubSpot, so it’s not straightforward to iterate over a JSON array and retrieve each element. Despite this, the experience was great, and I was able to build a robust agent.
The agent I created has strong potential for enhancement. It could be adapted to other analytical needs beyond sales prospecting simply by duplicating the agent and modifying the LLM instructions. I also plan to further refine its parameters and add new integrations—such as Slack—to increase its usefulness even more.
✨ Thank you for reading!
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