GEO Scanner

Description

The GEO Scanner helps content teams and developers understand how well a page is structured to be discovered, cited, and trusted by AI answer engines like ChatGPT, Perplexity, and Google's AI Overviews — before it is published.

Accessible from the Page Health panel inside the Visual Editor, the scanner fetches the fully rendered HTML of any page and evaluates it across four categories: Citability, Structured Knowledge, Content Authority, and Discoverability. It runs twenty deterministic signal checks and returns a 0–100 GEO readiness score, category-level breakdowns, and a prioritized list of issues ranked by severity — each with a specific, plain-English recommendation for remediation.

The scanner is also available as a REST endpoint (POST /api/geo-score) for developers who want to integrate GEO checks into CI/CD pipelines, automated quality workflows, or custom dashboards.

Benefits

For Content & Marketing Teams

• See a clear GEO readiness score before publishing, with specific actions ranked by impact — not generic advice.

• Understand exactly which signals are hurting AI visibility: missing author attribution, insufficient external citations, weak heading structure, incomplete schema markup.

• Watch the score improve in real time as issues are resolved, giving a concrete sense of progress.

• Reduce dependence on external SEO tools for pre-publish content validation.

For Developers & Platform Teams

• Access GEO scoring programmatically via REST API for CI/CD integration and automated quality gates.

• Validate pages against GEO signals as part of headless rendering pipelines, without requiring editor intervention.

• Use category and signal-level scores to build custom reporting or dashboards for site-wide content health visibility.

For Digital Leaders & Content Strategists

• Establish a measurable, page-level baseline for AI discoverability across your content library.

• Make content quality decisions grounded in specific, research-backed signals rather than general best-practice guidance.

• Align editorial standards with the signals that academic research — including the 2024 Princeton GEO study — identifies as driving citation frequency in AI-generated responses.

Use Cases

Pre-Publish AI Readiness Review A content editor finishes a new thought leadership article and runs the GEO Scanner before publishing. The panel surfaces a high-severity issue — no external source citations — and two medium issues around heading hierarchy and missing schema markup. The editor adds citations and fixes the heading structure; the score climbs from 54 to 78 before the page goes live.

Campaign Content Optimization A marketing team preparing a product launch page uses the GEO Scanner to evaluate citability and authority signals. The scanner identifies that the page lacks an author byline, publish date, and quantitative data — the exact signals that research shows drive AI citation. The team updates the page structure before launch without waiting for an external audit.

Developer Quality Gate in CI/CD A developer integrates the GEO Scanner REST endpoint into a deployment pipeline. Pages with a GEO score below a defined threshold trigger a review flag before going to production, ensuring that newly published content meets a baseline standard for AI discoverability without requiring manual checks.

Ongoing Content Audit A digital team uses the REST API to programmatically scan a library of existing pages and identify the most common signal failures across the site — for example, that 70% of blog posts are missing author attribution or that product pages lack schema markup — and prioritizes remediation accordingly.

Resources

• Feature Blog Post

• Feature Intro Video