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ivangdavila

GEO

by Iván · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
821
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2
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2
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1
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Install in OpenClaw
/install geo
Description
Optimize for AI recommendations so ChatGPT, Claude, and Perplexity suggest your brand first.
README (SKILL.md)

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
Usage Guidance
This is a coherent marketing/playbook skill (not code) explaining how to increase the chance AIs recommend your brand. It doesn't request secrets or install anything. Two practical cautions before you act: (1) If you want the agent to automate multi-model audits, you'll need to provide API credentials for each service — avoid granting account keys or posting on your behalf unless you trust the agent and have reviewed limits and policies. (2) Some recommended tactics (Wikipedia edits, forum activity, mass posting) can violate site rules or be seen as astroturfing; follow platform policies and prioritize authentic, high-quality contributions to avoid reputational or policy risk.
Capability Analysis
Type: OpenClaw Skill Name: geo Version: 1.0.0 The skill bundle describes a Generative Engine Optimization (GEO) process. While the overall intent appears benign, the `audit.md` file contains explicit 'Automation Tips' instructing the OpenClaw agent to 'Run the following queries on [model]' across multiple external AI services (ChatGPT, Claude, Perplexity, Gemini, Copilot) and 'Output as JSON'. This grants the agent direct network communication capabilities to external endpoints. Although this is plausibly needed for the stated purpose of auditing AI recommendations, it represents a high-risk capability that could be exploited via prompt injection or other means to perform unintended external communication or resource consumption, classifying it as suspicious due to the inherent vulnerability risk rather than clear malicious intent.
Capability Assessment
Purpose & Capability
The name/description (GEO: generative engine optimization) match the SKILL.md, audit.md, and strategies.md content. All recommended actions (audits, content, PR, forum participation) are coherent with the stated goal and no unrelated credentials, binaries, or system paths are requested.
Instruction Scope
Instructions stay within marketing/AIOps scope: designing queries, testing multiple models, documenting results, and producing content. The docs mention automating audits (sub-agents, running queries across models) which would in practice require access to external AI services/accounts, but the skill does not itself request credentials or direct reading of unrelated local files. This is a scope note (automation implies additional credentials/privileges if you choose to implement it).
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing is written to disk or downloaded, which is the lowest-risk install surface.
Credentials
The skill declares no environment variables, secrets, or config paths and its guidance doesn't require access to system credentials to be useful. Be aware that if you follow the automation tips (running queries against paid AI models), you'll need API keys/accounts — those are not requested by the skill itself.
Persistence & Privilege
always is false and the skill does not request persistent system presence or attempt to modify other skills or agent-wide settings. Autonomous invocation is allowed by default but the content does not require permanent privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install geo
  3. After installation, invoke the skill by name or use /geo
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug geo
Version 1.0.0
License
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is GEO?

Optimize for AI recommendations so ChatGPT, Claude, and Perplexity suggest your brand first. It is an AI Agent Skill for Claude Code / OpenClaw, with 821 downloads so far.

How do I install GEO?

Run "/install geo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is GEO free?

Yes, GEO is completely free (open-source). You can download, install and use it at no cost.

Which platforms does GEO support?

GEO is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created GEO?

It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.

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