llm-optimized-content — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited llm-optimized-content (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Create content optimized for AI-powered search using Generative Engine Optimization (GEO) principles.
Create content optimized for both traditional search engines AND AI/LLM-powered search (ChatGPT, Perplexity, Google AI Overviews, Claude) using Generative Engine Optimization (GEO) principles.
Generative Engine Optimization = Practices to ensure AI models:
Strategic Importance: Gartner predicts 25% drop in traditional search volume by 2026. Queries now average 23 words (vs. 4 before).
| Criteria | SEO (Traditional) | GEO (New Frontier) |
|---|---|---|
| Objective | Rank page on Google SERP | Become the SOURCE in AI response |
| Metric | Position on results page | Mention/citation in generated response |
| Mechanic | Links, backlinks, domain authority | Language, semantics, contextual relevance |
| User Result | Click to your site | Info consumed without click |
| Optimization | Keywords, tags, structure | Semantic clarity, E-E-A-T, direct answers |
Principle: AI must understand CONTEXT, not just keywords.
Actions:
❌ "Our SEO GEO optimization ranking solution"
✅ "GEO (Generative Engine Optimization) optimizes content so AI like
ChatGPT cites your brand in their responses."Principle: Provide key answer at the BEGINNING, not the end.
Actions:
Optimal Structure:
## [Question]
[Direct answer in 1-2 sentences]
[Detailed development]
[Concrete examples]
[Conclusion/Action]Example:
## What is ethical copywriting?
Ethical copywriting is a persuasive writing approach that excludes
manipulation and is founded on transparency, honesty, and respect
for the prospect.
[Details follow...]Principle: AI favors content that's easy to analyze ("parse").
#### Headers (H1-H6)
✅ "## How to create a landing page that converts?"
❌ "## The secret marketers don't want you to know"#### Bullet Lists
#### Tables
#### Question-Answer Format (FAQ)
E-E-A-T = Expertise + Experience + Authority + Trustworthiness
#### Expertise
#### Experience
#### Authority
#### Trustworthiness
Concrete Signals to Integrate:
"According to a [University X] study published in [year]..."
"Based on our analysis of [X] clients over [period]..."
"Source: [URL of official document]"
"Last updated: [date]"Data:
Ideal GEO Article Structure:
1. Intro with direct answer (100-150 words)
2. Definition/Context (200-300 words)
3. In-depth development (1500-2000 words)
- Subsections with H2/H3
- Concrete examples
- Tables/lists
4. Case studies/Proof (300-500 words)
5. Actionable conclusion (100-150 words)Principle: AI favors RECENT information.
Actions:
Principle: Facilitate extraction and citation by AI.
Techniques:
❌ "That's 37% more."
✅ "Ethical copywriting increases conversion rates by 37% on average
compared to manipulative approaches."# [H1: Clear Title with Primary Topic]
[Opening paragraph with direct answer to main query]
## Quick Summary
- **What:** [One-line definition]
- **Why it matters:** [Key benefit/importance]
- **Key takeaway:** [Main action or insight]
## Table of Contents
[For posts >1500 words]
## [H2: First Major Section]
[Direct answer/definition first, then elaboration]
### [H3: Supporting Detail]
[Expand with examples, data, explanations]
## [H2: How to [Action]]
1. **Step 1:** [Clear instruction]
- [Supporting detail]
2. **Step 2:** [Clear instruction]
- [Supporting detail]
## [H2: Comparison Section] (if applicable)
| Aspect | Option A | Option B |
|--------|----------|----------|
| [Criteria] | [Value] | [Value] |
## Key Takeaways
- [Bullet summary 1]
- [Bullet summary 2]
- [Bullet summary 3]
## Frequently Asked Questions
### [Natural language question]?
[2-3 sentence direct answer]
### [Natural language question]?
[2-3 sentence direct answer]
## Conclusion
[Summary + clear call to action]
---
*Last updated: [Date]*
*Sources: [Citations]*For any topic, consider addressing:
Simultaneously optimize for:
❌ Keyword stuffing → AI detects and devalues ❌ Clickbait headlines → AI seeks descriptive info ❌ Superficial content → AI prefers depth ❌ Absence of sources → Trustworthiness questioned ❌ Unexplained jargon → Missing context ❌ Buried answers → AI scans the beginning
| Claude handles | You provide |
|---|---|
| Applying GEO structure and formatting | Topic expertise and unique insights |
| Creating FAQ sections from content | Validation of accuracy |
| Optimizing for semantic clarity | E-E-A-T signals (credentials, experience) |
| Suggesting citable sentence structures | Source verification and dates |
| Generating comparison tables | Strategic decisions on positioning |
| Pass | Focus | Action |
|---|---|---|
| 1st | Structure | Apply GEO template, answer-first format |
| 2nd | E-E-A-T | Add citations, credentials, dates |
| 3rd | Citability | Make sentences autonomous and extractable |
| 4th | Checklist | Run GEO checklist to verify all elements |
name: llm-optimized-content
category: seo-tools
subcategory: geo
version: 2.0
author: GUIA
source_expert: GEO Framework (Gartner, industry research)
difficulty: intermediate
mode: cyborg
tags: [geo, seo, llm, ai-search, content, perplexity, chatgpt]
created: 2026-01-28
updated: 2026-02-03~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.