MyWebAudit

Audit teams were juggling six disconnected SEO tools (GA4, GSC, GBP, LSG, PageSpeed, manual scrapes) to produce a single client report — burning hours per audit and surfacing inconsistent recommendations.

1. 01

   Mapped the existing audit workflow with the SEO leads to identify which signals actually moved client decisions, and cut 40% of low-signal metrics from the dashboard.

2. 02

   Designed a role-based information architecture: SEO analysts get the deep-dive view, account managers get a client-ready summary, and clients get a single AI Visibility score.

3. 03

   Built a live data layer that ingests GA4, GSC, GBP, LSG, and PageSpeed in one normalised schema, then surfaces them through reusable card components.

4. 04

   Prototyped the AI Visibility scoring UI in Figma with variables and modes so engineering could match the spec to the pixel.

5. 05

   Shipped a design system (tokens, components, motion specs) so the audit, dashboard, and client-report surfaces stay visually consistent as new data sources land.