Automated summary
A reference guide to Generative Engine Optimization: how to structure content, entities, and crawler access so AI search engines such as ChatGPT, Perplexity, and Claude cite a site.
Strengths
- Compares AI engines (Perplexity, ChatGPT, Claude, Gemini) by citation style, helping prioritize effort
- Provides a concrete checklist of content and technical elements (schema markup, timestamps, author, FAQ)
- Includes a RAG retrieval weighting table and a list of AI crawler user-agents with access strategies
- Closes with clear anti-patterns (undated content, vague attributions, missing author info)
Limitations
- The RAG weightings (e.g. ~40% semantic relevance) are indicative and not backed by cited measurement
- Citation tracking is described as manual, with no automated tooling or method
- No code samples for schema markup or robots.txt configuration
Use it when planning or auditing content so that AI answer engines are more likely to cite it.
Avoid it for classic Google ranking work or technical SEO audits; it does not replace keyword and backlink strategy.
Security analysis
SafeThe skill is a static editorial guide about Generative Engine Optimization. It declares only read-only tools (Read, Glob, Grep) and contains no shell execution, network calls, credential handling, file mutation, or obfuscated payloads. The only executable reference is a named helper script invoked manually by the user, which is not bundled or auto-run here, so there is no meaningful execution risk in listing it.
No concerns found
How this analysis is madeExamples
Read my article at content/blog/rag-guide.md and audit it against the GEO content and technical checklist. List every missing element and what to add first.Rewrite the title and intro of this article to be question-based with a TL;DR at the top, then add a 4-question FAQ section written for Perplexity-style numbered citations.Check my robots.txt and explain the trade-offs of allowing GPTBot, Claude-Web, and PerplexityBot versus blocking them, then recommend a selective access strategy.name: geo-fundamentals description: Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity). allowed-tools: Read, Glob, Grep
GEO Fundamentals
Optimization for AI-powered search engines.
1. What is GEO?
GEO = Generative Engine Optimization
| Goal | Platform | | ------------------------ | ----------------------------------- | | Be cited in AI responses | ChatGPT, Claude, Perplexity, Gemini |
SEO vs GEO
| Aspect | SEO | GEO | | -------- | ------------- | -------------- | | Goal | #1 ranking | AI citations | | Platform | Google | AI engines | | Metrics | Rankings, CTR | Citation rate | | Focus | Keywords | Entities, data |
2. AI Engine Landscape
| Engine | Citation Style | Opportunity | | -------------- | ---------------- | --------------------- | | Perplexity | Numbered [1][2] | Highest citation rate | | ChatGPT | Inline/footnotes | Custom GPTs | | Claude | Contextual | Long-form content | | Gemini | Sources section | SEO crossover |
3. RAG Retrieval Factors
How AI engines select content to cite:
| Factor | Weight | | ------------------ | ------ | | Semantic relevance | ~40% | | Keyword match | ~20% | | Authority signals | ~15% | | Freshness | ~10% | | Source diversity | ~15% |
4. Content That Gets Cited
| Element | Why It Works | | ----------------------- | -------------------- | | Original statistics | Unique, citable data | | Expert quotes | Authority transfer | | Clear definitions | Easy to extract | | Step-by-step guides | Actionable value | | Comparison tables | Structured info | | FAQ sections | Direct answers |
5. GEO Content Checklist
Content Elements
- [ ] Question-based titles
- [ ] Summary/TL;DR at top
- [ ] Original data with sources
- [ ] Expert quotes (name, title)
- [ ] FAQ section (3-5 Q&A)
- [ ] Clear definitions
- [ ] "Last updated" timestamp
- [ ] Author with credentials
Technical Elements
- [ ] Article schema with dates
- [ ] Person schema for author
- [ ] FAQPage schema
- [ ] Fast loading (< 2.5s)
- [ ] Clean HTML structure
6. Entity Building
| Action | Purpose | | -------------------------- | -------------------- | | Google Knowledge Panel | Entity recognition | | Wikipedia (if notable) | Authority source | | Consistent info across web | Entity consolidation | | Industry mentions | Authority signals |
7. AI Crawler Access
Key AI User-Agents
| Crawler | Engine | | ------------- | --------------- | | GPTBot | ChatGPT/OpenAI | | Claude-Web | Claude | | PerplexityBot | Perplexity | | Googlebot | Gemini (shared) |
Access Decision
| Strategy | When | | ------------ | -------------------------- | | Allow all | Want AI citations | | Block GPTBot | Don't want OpenAI training | | Selective | Allow some, block others |
8. Measurement
| Metric | How to Track | | ------------------------------- | ----------------- | | AI citations | Manual monitoring | | "According to [Brand]" mentions | Search in AI | | Competitor citations | Compare share | | AI-referred traffic | UTM parameters |
9. Anti-Patterns
| ❌ Don't | ✅ Do | | --------------------- | ---------------------- | | Publish without dates | Add timestamps | | Vague attributions | Name sources | | Skip author info | Show credentials | | Thin content | Comprehensive coverage |
Remember: AI cites content that's clear, authoritative, and easy to extract. Be the best answer.
Script
| Script | Purpose | Command |
| ------------------------ | --------------------------------- | ---------------------------------------------- |
| scripts/geo_checker.py | GEO audit (AI citation readiness) | python scripts/geo_checker.py <project_path> |
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/geo-fundamentals-mrzxupl4/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/geo-fundamentals-mrzxupl4' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/geo-fundamentals-mrzxupl4/download' --output '.skill-downloads/geo-fundamentals-mrzxupl4/SKILL.md.part' && mv '.skill-downloads/geo-fundamentals-mrzxupl4/SKILL.md.part' '.skill-downloads/geo-fundamentals-mrzxupl4/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
Tools declared by the author (check availability in your agent): Read, Glob, Grep
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/geo-fundamentals-mrzxupl4/SKILL.md' && test -s '.skill-downloads/geo-fundamentals-mrzxupl4/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/geo-fundamentals' && cp -R '.skill-downloads/geo-fundamentals-mrzxupl4' '.claude/skills/geo-fundamentals'Cursor
test -f '.skill-downloads/geo-fundamentals-mrzxupl4/SKILL.md' && test -s '.skill-downloads/geo-fundamentals-mrzxupl4/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/geo-fundamentals' && cp -R '.skill-downloads/geo-fundamentals-mrzxupl4' '.cursor/skills/geo-fundamentals'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/geo-fundamentals-mrzxupl4'openskills read 'geo-fundamentals-mrzxupl4'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/geo-fundamentals-mrzxupl4/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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