market-audit

Use the analyze_page.py script to fetch and extract page data as JSON, then run the marketing audit command with your target URL to generate a decision-grade MARKETING-AUDIT.md file containing a 0–100 score, evidence-quoted findings, and a prioritized 30/60/90 action plan.

A decision-grade marketing audit scores a website 0–100 across six dimensions: Content & Messaging, Conversion Optimization, SEO & Discoverability, Competitive Positioning, Brand & Trust, and Growth & Strategy. It applies weighted normalization and ranks findings by estimated revenue impact.

Yes, the marketing audit applies to SaaS, e-commerce, agencies, local businesses, creators, and marketplaces. It extracts a single page and coordinates parallel specialists to deliver a tailored 0–100 score with a revenue-impact action plan.

The audit ranks next actions by estimated revenue impact using traffic, expected conversion rate lift, and ARPU. It outputs a 30/60/90 action plan categorized into quick wins, high-leverage improvements, and longer-term strategic initiatives.

You need to perform a one-time page extraction using the analyze_page.py script, which generates a reusable JSON artifact. This data feeds the weighted normalization and parallel specialist analysis to produce the final audit report.

Single-page extraction via analyze_page.py is required to generate the JSON data artifact that feeds the audit. This ensures all findings are evidence-quoted and the 0–100 scoring is based on actual page content rather than assumptions.