I built a productised Voice of Customer research service. First example report is free to read.
I've been building a service called Folio Research — AI-powered Voice of Customer reports for B2B founders.
The problem I kept seeing was that founders make expensive product and positioning decisions based on gut feel or a quick ChatGPT session. The real signal is out there (500+ reviews on G2, Reddit, Hacker News) but nobody has time to read it all, let alone structure it.
So I built a pipeline that aggregates verified reviews from G2, Capterra, Reddit, and Trustpilot, then synthesises them into a structured 20+ page report using a Jobs-to-be-Done framework.
I just published the first example report: "Voice of Customer: Sales CRM Tools for B2B Startups." It covers HubSpot, Pipedrive, Salesforce, Attio, and Close.io — what users love, hate, switch from, and wish existed.
Happy to share a copy if you're curious. And if you're building in a space where you'd find this useful for your own market, that's exactly what the service does.
Reports start at £299. Happy to answer any questions about the approach or the product below.
Curious how much overlap there is between "what customers write in G2 reviews" and "what AI models actually surface when someone asks for a tool recommendation." They're trained on different data. A founder could read 500 reviews and still be invisible to the people searching via ChatGPT.
Not a knock on the product — the VoC angle is genuinely useful. Just a gap I've been thinking about lately.