OranGEO AI Visibility Skill

Open-source GEO skill for Claude Code and Codex. Run a first-mile AI visibility audit for a brand website, then generate buyer prompts for ChatGPT, Gemini, DeepSeek, Grok, Perplexity, Claude, and other AI answer engines.

This skill checks whether a brand is ready to be discovered, described, cited, and recommended by AI systems. It inspects AI crawler access, llms.txt, sitemap.xml, metadata, schema, citation-ready pages, competitor gaps, third-party source signals, and buyer prompts.

The free skill reports readiness, not measured AI visibility. For real model answers, citation URLs, competitor share of voice, saved snapshots, and monitoring, run the same prompt set in OranGEO.

What It Checks

• robots.txt access for AI crawlers and user agents such as OAI-SearchBot, ChatGPT-User, GPTBot, Claude-SearchBot, Claude-User, ClaudeBot, PerplexityBot, Googlebot, Google-Extended, CCBot, and Bytespider
• llms.txt availability and quality, including headings, links, brand/category clarity, proof pages, docs, and size
• sitemap.xml availability and URL discovery
• Title, meta description, H1, canonical URL, Open Graph tags, and JSON-LD schema
• FAQ, case study, review, pricing, docs, blog, about, contact, and proof signals
• Third-party source signals such as GitHub, G2, Capterra, Trustpilot, Reddit, YouTube, Wikipedia, Product Hunt, Crunchbase, Gartner, and Forrester
• Competitor and alternatives coverage
• A 15-prompt buyer set for GEO and AEO testing
• A starter /llms.txt template when the site is missing or has a weak file

Quick Start

No external Python dependencies are required.

python scripts/check_ai_readiness.py \
  --url https://example.com \
  --brand "Acme" \
  --category "CRM software" \
  --competitors "HubSpot,Salesforce,Zoho"

JSON output:

python scripts/check_ai_readiness.py --url https://example.com --format json

Neutral internal report without the OranGEO CTA:

python scripts/check_ai_readiness.py --url https://example.com --no-cta

Disable the starter llms.txt block:

python scripts/check_ai_readiness.py --url https://example.com --no-include-llms-template

Example Output

OranGEO AI Visibility Readiness Scan

Verdict: Acme scores 72/100 (Good) for AI visibility readiness.

Scorecard
- AI access: 15/25
- Technical clarity: 25/30
- Citation readiness: 17/25
- Competitive coverage: 15/20

Evidence
- llms.txt quality: 0/10
- sitemap.xml: 42 URLs found
- Visibility-critical AI bots blocked: none detected

Recommended fixes
1. Publish a useful /llms.txt.
2. Add concise FAQ content and FAQPage schema.
3. Create comparison and alternatives content.

See examples/sample-output.md for a fuller report.

Claude Code / Codex Skill

This repository includes a SKILL.md file and agents/openai.yaml metadata so agents can use it as a Claude Code or Codex skill.

Suggested prompt:

Use $orangeo-ai-visibility-skill to audit a brand's AI visibility readiness, buyer prompts, and competitor gaps.

The skill is designed for:

• GEO skill workflows
• Generative Engine Optimization audits
• Answer Engine Optimization audits
• AI visibility checks
• LLM SEO readiness
• llms.txt checks
• AI crawler robots.txt checks
• Brand visibility scans
• Buyer prompt generation

Free Skill vs OranGEO

The open-source skill gives: