Perennio is a work-in-progress AI agent focused on helping teams improve website conversion rates through structured audits, rapid experiment ideas, and actionable optimization recommendations.

Current Scope (WIP)

• Analyze key pages (landing pages, pricing pages, and checkout flows) for conversion friction.
• Generate hypothesis-driven CRO suggestions ranked by expected impact and implementation effort.
• Produce experiment backlogs that can be turned into design and engineering tasks.
• Track recommendation history so teams can compare what was proposed versus what was tested.

Why I Built It

Most CRO workflows are still split across analytics tools, docs, and one-off audits. Perennio aims to centralize this into an AI-first workflow where insight generation and next-step prioritization happen in one place.

Current Stage

Perennio is currently in active development, with the core agent and recommendation workflows being iterated before a broader public launch.

Repository

• Source code: github.com/omaroubari/perennio