CRO audit with practical ideas. The same method I use to run conversion analysis in a large, regulated organisation, applied to your site.
How it works:
- Funnel data first: conversion and drop-off for each step of your key journeys in GA4, by device and channel
- Screen-by-screen review of each journey on desktop and mobile, with annotated screenshots
- Every finding backed by evidence (data plus screenshot), never opinion alone
- Findings split into quick wins you can ship now and hypotheses worth an A/B test
- Ideas ranked by impact and effort, so you know what to do first
- A test roadmap: hypothesis, change, primary metric and guardrail for each test
- You get a clear report your team can act on, with the first 3 tests ready to run.
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8
Brand and UI system for a Lisbon online art shop. One token set (colour, shadow, type) drives 12 components across the site, from the hero and trust strip to the catalogue card, filters, gallery, spec sheet, buy box and contact modal. The design system stays synced with the live site, so every page speaks the same visual language.
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14
My own multi-agent system, built with Claude and running daily in production. Schedules, inbox messages and analytics APIs feed agents that route, summarise and analyse, using tools through MCP servers and APIs, with local models for private data. Output: daily briefings and reports, alerts when something breaks, and human approval for anything risky. The same patterns power client work in reporting, triage and monitoring.
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can AI search find and quote this online shop? Sample audit of a pre-launch art shop in Lisbon, using public data only. I checked AI crawler access, llms.txt, structured data and answer-ready content, then ran 10 real buyer queries to see who gets cited instead. Result: 11 findings ranked by severity with fixes, 0 of 10 queries citing the shop yet, one open niche nobody answers, and a 30-day plan.
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