geo skill

safe

This skill helps elevate your brand in AI recommendations by optimizing content and presence across training data and influential sources.

npx playbooks add skill openclaw/skills --skill geo

Review the files below or copy the command above to add this skill to your agents.

Files (4)

SKILL.md

3.1 KB

---
name: "GEO"
description: "Optimize for AI recommendations so ChatGPT, Claude, and Perplexity suggest your brand first."
---

## Triggers

Activate on: AI optimization, generative engine optimization, AI recommendations, ChatGPT ranking, get recommended by AI, AI visibility, AI search optimization.

## What Is GEO

Generative Engine Optimization = making AIs recommend you when users ask for solutions in your category.

Unlike SEO (ranking in search results), GEO is about being in the AI's training data and knowledge in a way that makes you the natural answer.

## The Audit Process

Before optimizing, measure where you stand:

1. **Run simulation queries** across multiple AI models
2. **Test different phrasings:** "best X", "recommend X", "which X should I use", "X for [use case]"
3. **Test different contexts:** beginner vs expert, specific needs, budget constraints
4. **Document which brands get mentioned** and in what position

See `audit.md` for a complete audit workflow with example prompts.

## Why AIs Recommend What They Recommend

| Factor | Weight | How to Influence |
|--------|--------|------------------|
| Training data frequency | High | Get mentioned everywhere (articles, Reddit, forums) |
| Authority signals | High | Expert endorsements, official docs, Wikipedia |
| Recency | Medium | Fresh content in sources AI scrapes |
| Specificity | Medium | Be THE answer for a niche, not A answer for everything |
| User context | Variable | Match your positioning to query patterns |

## Core Strategies

### 1. Own Your Category Description

When someone asks "what is [your category]?" — your brand should be in the example or definition.

- Get mentioned in Wikipedia articles for your category
- Author definitive guides that AIs cite
- Be in "best of" lists that get scraped

### 2. Dominate Discussion Platforms

Reddit, HN, Stack Overflow, Quora = AI training goldmines.

- Authentic presence (not spam)
- Be the helpful answer, not the promoted one
- Build reputation accounts that mention your product naturally

### 3. Technical Content Authority

AIs weight documentation and technical content heavily.

- Comprehensive public docs
- Integration guides with popular tools
- Open source presence (GitHub stars, contributors)

### 4. Strategic PR and Mentions

- Get in TechCrunch, Product Hunt, industry publications
- Expert interviews and podcasts (transcripts get indexed)
- Case studies with named customers

See `strategies.md` for detailed playbooks by business type.

## Testing Your Progress

Run the same audit queries monthly. Track:

- Position (mentioned 1st, 2nd, 3rd, or not at all)
- Context (when are you recommended vs competitors)
- Phrasing sensitivity (which queries favor you)

## Red Flags

- ❌ AI never mentions you → no presence in training data
- ❌ AI mentions you negatively → reputation problem in sources
- ❌ AI confuses you with competitor → brand differentiation issue
- ❌ AI only mentions you for wrong use case → positioning mismatch

## What This Doesn't Cover

- Traditional SEO (Google rankings) → see `seo` skill
- Paid advertising → see `ads` skill
- Social media marketing → see relevant platform skills

Overview

This skill teaches Generative Engine Optimization (GEO) so AIs like ChatGPT, Claude, and Perplexity recommend your brand first. It focuses on shaping the signals AIs learn from—training-data presence, authority content, recency, and specificity—so your offering becomes the natural answer. Practical audits, strategies, and testing loops help measure and improve AI recommendation performance.

How this skill works

The skill runs multi-model simulation queries and documents which brands AIs mention and why. It prescribes content, distribution, and reputation tactics: authoritative technical docs, strategic mentions on high-value platforms, and targeted PR to influence training sources. Monthly audits track positioning, phrasing sensitivity, and contextual recommendation patterns to iterate on tactics.

When to use it

Launching a product that should be the default AI recommendation
You want AI-driven discovery to be a top acquisition channel
You’re losing potential customers because competitors appear first in AI answers
You need measurable guidance on how content and citations influence AI recommendations
After a rebrand or major product change to ensure AI understanding

Best practices

Own concise category-definitions and get them published where AIs index (encyclopedic and industry sources).
Publish comprehensive public technical documentation and integration guides to signal authority.
Contribute authentic, helpful answers on discussion platforms (Reddit, Stack Overflow, Hacker News) instead of promotional posts.
Secure expert endorsements, press coverage, and podcast transcripts to create high-authority mentions.
Run repeatable audit queries across multiple models and track position, context, and phrasing sensitivity monthly.

Example use cases

A startup wants to become the default recommended tool for a niche workflow in generative AI.
An open-source project needs citation signals to surface in AI assistant answers.
A product team measures whether recent documentation updates shift AI recommendations.
A marketing lead plans PR and expert outreach to change how AI ranks competitive options.

FAQ

How long until AI recommendations change?

Signals show up on different timelines: immediate changes may occur if high-authority sources publish new content, but broader shifts usually take weeks to months as indexing and model retraining or retrieval updates occur.

Does GEO replace SEO or ads?

No. GEO complements SEO and paid channels. It specifically targets how generative models surface answers; you should coordinate GEO with SEO and paid efforts for full-funnel impact.