geo-seo-optimizer

Optimize content for Generative AI search engines (Perplexity, ChatGPT, Gemini). Use when drafting articles, marketing copy, or technical docs to ensure AI models prioritize your information as a top reference.

3,891 stars

Best use case

geo-seo-optimizer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Optimize content for Generative AI search engines (Perplexity, ChatGPT, Gemini). Use when drafting articles, marketing copy, or technical docs to ensure AI models prioritize your information as a top reference.

Teams using geo-seo-optimizer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/geo-seo-optimizer/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/balkanblbn/geo-seo-optimizer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/geo-seo-optimizer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How geo-seo-optimizer Compares

Feature / Agentgeo-seo-optimizerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Optimize content for Generative AI search engines (Perplexity, ChatGPT, Gemini). Use when drafting articles, marketing copy, or technical docs to ensure AI models prioritize your information as a top reference.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# GEO SEO Optimizer

Ranking in AI search engines (GEO) is the new SEO. This skill focuses on making content highly relevant to LLMs.

## Core Techniques

### 1. Citation Optimization
AI models love sources. Include verifiable facts, stats, and explicit citations to established entities.
- **Rule**: Use "According to [Entity]..." or "[Data Point] as per [Source]".

### 2. Conceptual Density
Ensure the core concept is explained using varied but related keywords. Use synonyms and adjacent terminology to build a semantic "cloud" around the topic.

### 3. Structural Clarity
Use clear H1-H3 hierarchies. Use bulleted lists for technical specs. LLMs parse markdown structures to weigh importance.

### 4. Direct Answer Extraction
Include a "TL;DR" or "Executive Summary" that directly answers the most likely user query in one or two concise sentences.

## When to Use
- Writing blog posts.
- Updating documentation.
- Building a knowledge base.

## Installation
```bash
clawhub install geo-seo-optimizer
```

Related Skills

Pricing Optimizer

3891
from openclaw/skills

Analyzes and optimizes pricing strategy using proven frameworks

Business Strategy & Growth

Logistics Operations Optimizer

3891
from openclaw/skills

You are a logistics operations analyst. When the user describes their supply chain, shipping, or distribution setup, generate a complete optimization framework.

Logistics & Supply Chain Optimization

Fleet Management Optimizer

3891
from openclaw/skills

You are a fleet management analyst. Help the user optimize vehicle fleet operations, reduce costs, and improve utilization.

Workflow & Productivity

Customer Acquisition Cost (CAC) Optimizer

3891
from openclaw/skills

Analyze, benchmark, and reduce your customer acquisition cost across every channel.

Business Analytics & Strategy

calendar-optimizer

3891
from openclaw/skills

Analyzes and rewrites calendar events into clear, actionable tasks. Removes meeting fluff and converts vague descriptions into specific deliverables with deadlines.

hinge-profile-optimizer

3891
from openclaw/skills

Comprehensive, research-backed Hinge dating profile optimization. Use when someone wants to improve their Hinge profile, audit an existing profile, write better prompts/captions, select and order photos strategically, or understand why they're not getting quality matches. This is the thorough process (~45 mins) - discovery interview, honest market math, photo strategy, copy creation, settings cleanup, and implementation support. Grounded in peer-reviewed behavioral research, platform data, and signaling theory.

Amazon Listing Optimizer — Free Listing Analysis & Keyword Research

3891
from openclaw/skills

**Free alternative to Helium 10 ($97/mo) and Jungle Scout ($49/mo).**

SKILL: Read Optimizer (read-optimizer)

3891
from openclaw/skills

## Description

token-optimizer

3891
from openclaw/skills

Reduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.

geo-optimizer

3891
from openclaw/skills

Optimize content for AI citation (GEO). Use when user says "GEO", "generative engine optimization", "AI citation", "get cited by AI", "AI-friendly content", or creating content for ChatGPT/Claude/Perplexity visibility.

gcp-networking-optimizer

3891
from openclaw/skills

Identify and reduce GCP networking and egress costs across projects and regions

azure-devtest-optimizer

3891
from openclaw/skills

Optimize Azure dev/test environment costs with auto-shutdown schedules and Dev/Test pricing enrollment