What problem does it solve?
Validate and surface GEO and AEO discoverability gaps in public docs and codebases by auditing artefacts such as llms.txt, AGENTS.md, AI-crawler directives, and JSON-LD citations to ensure accurate AI surface-up and citation grounding.
Core Features & Use Cases
- Discovery validation: checks for essential artefacts like llms.txt, AGENTS.md, robots.txt directives, and JSON-LD metadata.
- Capability signaling: ensures upstream manifest references and GEO/AEO scope are clearly defined.
- Content-format hygiene: enforces structured metadata, snippet-friendly formatting, and safe prompt boundaries.
- Token economics awareness: surfaces per-page token estimates and guidance for efficient prompts.
- UX and adoption: provides guidance for AI-friendly copy and interaction points to improve discoverability.
- Use Case: a documentation site can run the audit at milestone boundaries to verify readiness for LLM-based indexing and agent-based tooling.
Quick Start
Run the geo-audit against your web project to surface GEO/AEO readiness gaps and guide remediation.