SEO + GEO Audit Tool

Audit workflow that checks technical SEO, on-page SEO, schema markup, and AI readiness, then exports scored JSON and HTML reports teams can act on.

Most SEO audits are either too shallow or too manual. Teams run a crawler, get a list of issues, and then spend hours figuring out what actually matters. AI readiness and GEO (Generative Engine Optimization) are rarely covered at all.

This tool was built to run a structured audit across four categories in one pass and produce a report that non-technical team members can read and act on.

Technical SEO checks (response codes, canonical tags, crawl depth) and content-level checks (heading structure, keyword usage, readability) usually live in separate tools. This audit needed to score both in one workflow.

Most schema checkers only confirm valid JSON-LD. This tool goes further: it checks whether the markup matches the actual page content and whether the structured data covers the types that matter for the site's vertical.

GEO scoring had to evaluate how well pages are structured for AI citation and retrieval. That means checking for clear definitions, direct answers, structured lists, and source-friendly formatting.

Point the tool at a URL or a list of URLs. It crawls each page and runs checks across four scoring categories: technical SEO, on-page SEO, schema markup, and AI readiness.

Each category gets a numeric score. Issues are ranked by impact so the team knows what to fix first.

The tool outputs both JSON (for integration into other systems) and a styled HTML report that can be shared with clients or stakeholders directly.

4 audit categories — Technical SEO, on-page SEO, schema markup, and AI readiness scored in one pass

JSON + HTML output — Machine-readable data and a human-readable report from every audit run

Minutes, not hours — Full audit completes in a fraction of the time a manual review would take