GEO Optimizer

Run a GEO audit to evaluate AI answer engine crawlability and citation readiness, generating a 0–100 scoring breakdown across robots.txt, llms.txt, schema, and content signals. It identifies technical blocks preventing AI visibility and provides prioritized remediation steps.

An llms.txt file explains your site's purpose and key pages to AI crawlers. You can generate and optimize llms.txt from your sitemap using the GEO workflow, ensuring AI answer engines correctly interpret and extract your most important content.

Inject JSON-LD schema for page types like website, FAQ, article, and organization to improve AI content extraction. The audit identifies missing schema and provides recommendations or auto-fixes to ensure AI crawlers understand your page structure reliably.

Yes, you can apply auto-fixes to create missing robots.txt entries, llms.txt files, schema recommendations, and AI discovery endpoints. This executes the full GEO workflow in a single pass to resolve technical blocks for AI answer engine access.

Structured data and llms.txt significantly improve visibility in ChatGPT Search and Perplexity by helping AI crawlers understand and cite your content. The GEO audit checks these signals, scoring your site's readiness for AI discovery and citation.

Traditional SEO does not guarantee AI citation; AI engines require specific signals like llms.txt, JSON-LD schema, and accessible AI discovery endpoints. A GEO audit identifies which technical and structural signals block AI interpretability and citation.