PageForge

A good B2B landing page needs market research, positioning, copy, visual structure, SEO, and a quality check. That is five or six specialists, or one founder doing all six jobs badly at midnight.

Most AI page generators produce generic output because they skip the research and strategy steps and jump straight to copywriting.

PageForge runs six specialized agents in sequence: one researches the market and competitors (including live competitor URL analysis), one writes the positioning strategy, one writes copy, one designs the visual structure, one optimizes for search and AI-answer engines, and one audits the result with a CRO quality score.

Output ships in formats people actually use: plain HTML, React, and Webflow JSON. A mock mode runs the whole pipeline without an API key so anyone can try it.

I am not a trained engineer. I built this with AI coding agents doing the typing while I did the product thinking: what each agent should know, what order they run in, and what "good" looks like at each step.

A production-ready landing page draft in minutes instead of a multi-week, multi-specialist project.

Open source, so the agent personas and pipeline are inspectable and customizable rather than a black box.

Multi-agent systems work when each agent has one job and a clear handoff, the same way good teams do.

The research step is what separates usable AI output from generic AI output. Skipping it is why most generated pages feel hollow.

Knowing what a good landing page looks like turned out to matter more than knowing how to write the code that generates one.