<aside>
🙋🏻♀️Hey there! I’m Prasanthi B from SalesRobot
I help agencies and sales teams book 20-30 calls/month from LinkedIn.
We’ve helped companies like Inonda Marketing (one of the biggest UK based lead gen agencies), Enteros, Efficy, HandsHQ, Optamark Digital, Reeves Independent (one of UK’s biggest pension companies) and more.
</aside>
<aside>
🤖 SalesRobot - Send Automated PERSONALIZED Messages and Voice Notes on LinkedIn
✅ Ready to try it yourself? → Start your 14-Day Free Trial
❓ Need help → Book a Free Setup Call ↳ (I’ll personally setup your sequence for best results)
</aside>
Section 1: How LLMs Select Recommendations
Section 2: The Five Core Signals
Section 3: Engineering Each Signal
Section 4: 90-Day Implementation Roadmap
Section 5: Measurement Framework and Feedback Loops
Section 6: Risk Factors and Common Mistakes
This guide provides a framework for increasing the probability that LLMs recommend your SaaS product. Results depend on your starting position, competitive landscape, category dynamics, and execution quality. LLM behavior is non-deterministic and subject to change with model updates. Treat all recommendations in this guide as probability-improving actions, not guaranteed outcomes.