Website conversion evidence and fix workbench

Reduce the time from page review to an agreed, implemented fix list. For marketing teams and site owners running paid traffic to landing pages, convert a submitted URL, analytics exports, session recordings and brand constraints into reviewer-approved conversion fixes linked to page elements. The benefit is a testable hypothesis, measured through accepted fixes per review hour and conversion rate change after release; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect a submitted URL, analytics exports, session recordings and brand constraints, then follow this sequence: 1. Accept a URL and crawl the page. 2. Analyze design, copy and performance with AI. 3. Score conversion blockers against the stated goal. Resolve uncertain cases with qualified reviewers, approve reviewer-approved conversion fixes linked to page elements, and measure accepted fixes per review hour and conversion rate change after release against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One site per pilot and one analytics source; final conversion judgments and brand decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve brand voice, source attribution, claim accuracy and usage permissions. Site owners approve substantive changes and publication scope. One site per pilot and one analytics source; final conversion judgments and brand decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One site per pilot and one analytics source; final conversion judgments and brand decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: accept a URL and crawl the page; analyze design, copy and performance with AI. Support the third module with operator review: score conversion blockers against the stated goal. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Site owner analytics, session recording tools and permitted page sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Audit brief and URL intake, Editable findings workspace, Client report and delivery. Use a thumbnail gallery for audited pages, a large central findings canvas, and a right-hand panel for evidence, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant page element. Make the task-specific outcome reviewer-approved conversion fixes linked to page elements visible beside its evidence, review state and value baseline.