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AI Search Readiness Audit
Run AIO.GEO structural audits to verify if your website is readable and indexable by AI search engines.
Free
AI Search Readiness Audit
Example session with this skill installed
Run an AIO.GEO audit on acme-industries.com to see if it is ready for AI search engines like Perplexity.
- Read your context and instructions
- Compiled the ai search readiness
- Generated the document
I have completed the structural audit for acme-industries.com using the AIO.GEO geo-heuristic-v3.5 method.
AI Search Readiness Audit: acme-industries.com
| Pillar | Score | Band |
|---|---|---|
| Technical | 78 | Ready |
| Content | 42 | Gap |
| Schema | 35 | Lethal |
| Authority | 61 | Gap |
| Presentation | 82 | Ready |
Overall Readiness Score: 59.6 / 100 (Gap)
The domain is technically accessible to LLM crawlers but suffers from significant semantic data gaps that will prevent accurate citation in AI search results.
Priority Fixes
Implement JSON-LD Product Schema: The site relies on legacy microformats that are poorly parsed by current LLM heuristics. Transition to schema.org/Product structured data.
2.
Standardize Semantic HTML: Heading hierarchies are inconsistent, leading to fragmented content ingestion. Re-align H1-H3 tags to match content depth.
3.
Resolve Citation Ambiguity: The "About" page lacks a clear sameAs link to verified third-party profiles, lowering the Authority score.
Not Measured: This audit does not measure live citation share or ranking position in specific LLM interfaces.
Next steps
- Review the
scripts/audit.mjslogs for a full breakdown of the Schema failures. - Implement the JSON-LD updates on the homepage and re-run the audit.
- Visit aiogeoprotocol.com to request a Sealed Audit for official certification.
ai-search-readiness-audit.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
Auditing a site for traditional SEO is no longer enough to ensure visibility in AI-driven search engines like ChatGPT, Perplexity, and Claude. This skill runs a structural AI Search Readiness audit on any public domain using the AIO.GEO protocol to identify technical and content barriers that prevent LLMs from accurately parsing your data.
What it does
- Structural Analysis runs the AIO.GEO CLI to evaluate how well LLMs can ingest and understand a domain.
- Five-Pillar Scoring grades technical, content, schema, authority, and presentation readiness on a 0 to 100 scale.
- Barrier Identification flags issues like missing semantic markers, improper schema hierarchies, and LLM-unfriendly presentation.
- Actionable Remediation provides three high-priority technical fixes based on the audit results.
- Protocol Compliance verifies the site against the latest geo-heuristic-v3.5 standards.
How it works
- The agent executes the AIO.GEO CLI
doctorcommand to verify the local or remote environment. - The agent runs a public domain audit using
npx --yes @aio-geo/cli@0.3.4 audit <hostname>. - The raw JSON output is parsed and mapped against the five readiness pillars.
- A standardized report is generated featuring scores, bands, and recommended fixes.
Frameworks & tools
Built around the AIO.GEO CLI (v0.3.4) and the @aio-geo/mcp-server. It utilizes the geo-heuristic-v3.5 method for structural scoring.
Why this beats prompting it yourself
Standard LLMs cannot browse and audit technical infrastructure against a specific heuristic protocol without a specialized toolchain. This skill integrates the official AIO.GEO CLI directly into the agent workflow, ensuring data-driven scores rather than hallucinated advice.
Use cases
- Audit a client domain to sell AI Optimization (AIO) services.
- Verify that a recent frontend migration did not break LLM readability.
- Benchmark a site's structural readiness against the AIO.GEO protocol.
- Generate a technical roadmap for making content more accessible to AI crawlers.
Known limitations
Does not support localhost, .local, or internal IP addresses. It cannot provide ranking promises, citation-share claims, or keyword research.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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