LinkedIn Networking AI Agent Development

I need an AI-driven assistant that can take over the day-to-day networking grind on my LinkedIn profile and free me to focus on closing deals. The top priority is making valuable new connections at scale, so the agent must:

• Send personalised connection requests that mirror my voice and target criteria
• Follow up with friendly, context-aware messages that warm up the lead
• Engage with prospects’ posts—liking, commenting, and sharing where relevant—to stay visible and authentic

Once we prove the connection workflow, I also want the same agent to handle light pitching and InMail proposals, but connection building comes first.

Behind the scenes, I rely on data to guide every move, so you’ll weave in SEO/SMO research skills: trend analysis, keyword discovery, and competitive intel that can later feed into content and outreach strategies. No bulk spam; every action should feel human and value-driven.

Deliverables
1. A working AI agent (Python, Node, or comparable) authenticated to my LinkedIn account, with clear setup instructions.
2. Configurable templates for connection requests, follow-ups, and comment styles.
3. An SEO/SMO research report framework that the agent can populate automatically (CSV or Google Sheet).
4. Logging and basic analytics so I can track request volume, acceptance rates, and engagement over time.

Acceptance Criteria
• Agent sends 100 test requests with <5% rejection due to policy violations.
• Minimum 40% acceptance rate over the first week.
• Research module outputs usable keyword lists and competitor insights aligned with my niche.

If you have experience with LinkedIn’s private APIs, browser automation (Puppeteer, Playwright, Selenium), GPT-powered text generation, or similar growth-hacking tools, this will be straightforward. Clean, well-documented code and respect for LinkedIn’s terms of service are non-negotiable.