Why I built WebGPT
For years I managed hundreds — sometimes thousands — of websites. The challenge was enormous: making sure every site had a steady stream of fresh, relevant, high-quality content — content that actually delivered value to the reader.
To keep up, I hired content writers, gave them access to the sites, reviewed everything they published, and managed the entire process manually. It took endless time, endless energy, and of course a lot of money.
And that wasn't all. Beyond producing the content, I also had to promote every one of those sites — build a quality backlink profile, drive visibility, and run ongoing SEO work across a variety of blogs and publications. That too was a manual, complex, and exhausting process.
At some point I realized I couldn't keep working this way. I wanted one system that could handle all of these needs in one place: content creation, site management, publishing, automation, and promotion.
It started as a small system I built for myself, to solve a real problem I was living with every day. Over time it grew, matured, and gained more and more capabilities — until it became what it is today: WebGPT.
One of the most important things that emerged from this need was the ability to build custom AI chatbots and dedicated AI experts. Not another generic chat — these are systems built on your own content: websites, files, business knowledge, and real data. They can be used to create more accurate SEO content, manage internal knowledge across an organization, deliver smarter customer service, or even act as a personal assistant that genuinely understands your work. Anyone can build their own “AI expert”, tailored exactly to their needs.
My vision for WebGPT is to give digital agencies, site owners, and businesses of every size the power to leverage AI to work smarter, faster, and far more efficiently. I believe good technology should simplify work, not complicate it — and WebGPT was built from exactly that need.
