A done-for-you LinkedIn demand engine for B2B companies. We tune your team's profiles, get them into the conversations your customers are already having, and route the warm ones to sales. One system, not five freelancers.
Built by Maria Poly — a decade reading how the people with capital decide who to back, turned into a system that gets B2B customers to find your team.
Buyers look up your team, read their profiles, and choose who to trust — all before reaching out. It is the last platform still running on real people, not bots.
LinkedIn now ranks high in search results and increasingly in AI answers — steady expert posting is how a customer finds you when they look you up.
LinkedIn B2B Institute, 2025
Three steps to turn your team into a demand channel that compounds over time.
Who your customers actually are, which accounts are in-market, and exactly which conversations they are already having on LinkedIn.
We identify the buyers, the threads, and the moment when someone is receptive to your perspective — before they ever search for you.
Each profile is rewritten to match how the new ranking model reads it, and to make your customers stop and recognize what you do.
Positioned for the buyers who matter, not generic “thought leadership” that sounds like everyone else.
The system surfaces the right person and a ready way to join their conversation, drawn from what your company and that person actually know. Your team adjusts a few details, the agent learns from the edits, and as customers warm up they move into your CRM for a normal sales conversation.
Everything is drafted in your team’s voice and approved before it goes live. Human in the loop, compliant with LinkedIn, your accounts stay safe.
Priced per seat, shared on the audit call. One seat is one person and one LinkedIn account. Every engagement starts with a free audit. Plan on two months: that is the time the algorithm needs before results start to show, and less than that does not move.
I spent about ten years on the investor side, at TMT, Pantera, and Blockchain Coinvestors, learning how the people with capital decide who to back.
I turned that into a system that gets founders in front of the right investors, and it became its own product, VC Lens.
The customer side grew out of the same thing. The mechanics of reading who matters and getting in front of them before they are ready to talk do not change whether the person you need is an investor or a customer.
Right now they work best on LinkedIn, so that is where Customer Lens runs. I have been calling the whole approach data-driven networking for a while.
Content on its own is a commodity. What I build is the system underneath it, in your team’s voice, so every seat runs off real signal. I build the tooling myself, which is why it can do this at a volume a person cannot.