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Audit, optimize, and verify domain visibility for LLMs and RAG engines using the AIO.GEO protocol.
$19
AIO.GEO Operator
Example session with this skill installed
Run a full AIO.GEO loop on acme-industrial.com and generate a dry-run fix pack with a rescore.
- Read your context and instructions
- Compiled the aio geo operator
- Generated the UI component
I have completed the AIO.GEO closed-loop audit and rescore for acme-industrial.com. The audit identified significant blockers in the 'Presentation' and 'Schema' pillars. A dry-run fix pack has been staged, and the projected rescore shows a 34% improvement in LLM accessibility.
AIO.GEO Audit & Rescore Report: acme-industrial.com
| Pillar | Initial Score | Projected Score | Key Blocker |
|---|---|---|---|
| Technical | 65/100 | 88/100 | Missing robots.txt allow-rules for AI crawlers |
| Content | 42/100 | 75/100 | Low information density in product descriptions |
| Schema | 12/100 | 92/100 | Non-compliant JSON-LD syntax in breadcrumbs |
| Authority | 55/100 | 55/100 | No change (requires external citations) |
| Presentation | 30/100 | 80/100 | Heavy JS-rendered content invisible to basic RAG |
| Total | 40.8 | 78.0 | Status: Optimization Recommended |
Dry-run Fix Pack (v3.5)
{
"domain": "acme-industrial.com",
"action": "dry-run",
"patches": [
{
"target": "/head/script[type='application/ld+json']",
"fix": "Replace legacy schema with AIO-optimized Product and Organization objects.",
"code": "{\"@context\": \"https://schema.org\", \"@type\": \"Product\", \"name\": \"Industrial Widget X1\"}"
},
{
"target": "robots.txt",
"fix": "Add explicit User-agent permissions for GPTBot and ClaudeBot.",
"code": "User-agent: GPTBot\nAllow: /"
}
],
"engine": "aether-v3.5",
"timestamp": "2023-10-27T10:00:00Z"
}
Next steps
- Review the JSON-LD patches in the fix pack above for accuracy.
- Provide explicit approval to move from
--dry-runto--writemode for production deployment. - Run the
sealcommand using the projected values to generate a verified HMAC receipt.
aio-geo-operator.tsx
TSX · React component
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Most websites are invisible to LLM scrapers and RAG engines due to poor semantic structure. This skill executes the AIO.GEO protocol to audit, fix, and verify how AI models perceive and extract data from a specific domain.
What it does
- Technical Audit identifies blockers preventing LLM crawlers from indexing site content accurately.
- Dry-run Fix Packs generates non-destructive code and content patches to improve machine readability.
- Closed-loop Rescoring measures the effectiveness of optimizations using the geo-heuristic-v3.5 method.
- HMAC Receipt Sealing produces verifiable audit logs using domain, experience, authority, and trust metrics.
- Protocol Compliance ensures optimizations align with technical, content, schema, and authority pillars.
How it works
- Run
auditon a public domain to identify visibility gaps across the five AIO.GEO pillars. - Generate a
dry-runfix pack to stage improvements without modifying production code. - Execute the
loopcommand to rescore the domain after simulated fixes are applied. - Use the
sealcommand with specific metric flags to generate a formal HMAC receipt checklist.
Frameworks & tools
This skill utilizes the AIO.GEO CLI (aether engine), geo-heuristic-v3.5 modeling, and integrates via remote MCP. It focuses on schema.org, semantic HTML, and RAG-friendly content structures.
Why this beats prompting it yourself
Standard SEO prompts focus on human search engines, often ignoring the specific parsing logic of LLMs. This skill enforces a closed-loop protocol that requires technical verification and cryptographic receipts, preventing vague or unmeasurable "optimization" claims.
Use cases
- Auditing a client site for AI-readiness before a major RAG integration.
- Staging schema and content fixes in a safe dry-run environment.
- Generating verifiable compliance receipts for high-ticket AIO consulting.
- Rescoring domains to prove ROI on technical semantic optimizations.
Known limitations
Does not perform keyword research or provide ranking guarantees. Requires explicit user approval for any live production writes. Supports only one public domain per report.
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
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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