geo-gap-fixer

Audit brand visibility on LLMs and generate a GEO action plan.

581|60|Updated Apr 13, 2026

Search Tags:#content strategy #brand audit #llm visibility #geo intelligence #geo-gap-fixer

Ready to run

npx skills add https://github.com/Varnan-Tech/opendirectory --skill geo-gap-fixer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: geo-gap-fixer
Source: https://github.com/Varnan-Tech/opendirectory/tree/main/skills/geo-gap-fixer
Command: npx skills add https://github.com/Varnan-Tech/opendirectory --skill geo-gap-fixer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, anthropic, google-genai, perplexity, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill audits a brand's visibility on LLMs and generates a concrete GEO action plan to fix gaps.

Core Features & Use Cases

LLM Visibility Audit: Measures how often LLMs recommend your brand vs. competitors.
Content Action Plan: Outputs a prioritized content backlog to fix the gaps identified.
Use Case: If LLMs consistently recommend competitors instead of your brand, use this Skill to identify the gaps and get a content plan to fix them.

Quick Start

Run the 'geo-gap-fixer' skill to audit your brand's visibility and generate a GEO action plan.

Frequently Asked Questions about geo-gap-fixer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I audit my brand visibility on LLMs and find recommendation gaps?▼

A brand visibility audit on LLMs measures how often language models recommend your brand versus competitors, identifying specific recommendation gaps so you can generate a prioritized content backlog to close them.

What is a GEO action plan for fixing LLM visibility gaps?▼

A GEO action plan is a prioritized content backlog generated from an LLM visibility audit, providing actionable content recommendations to increase your brand's recommendation frequency over competitors.

Do I need API keys for OpenAI and Anthropic to run an LLM visibility audit?▼

Yes, you need API keys for OpenAI, Anthropic, Google, and Perplexity, along with Python and dependencies like openai, anthropic, and google-genai, to execute the LLM visibility audit and generate the GEO action plan.

How do I generate a content strategy when LLMs consistently recommend competitors instead of my brand?▼

To generate a content strategy when LLMs recommend competitors, you run an LLM visibility audit to identify the specific gaps and output a prioritized content backlog with actionable content recommendations to fix them.

What's the best way to measure brand visibility across multiple LLM platforms?▼

The best way to measure brand visibility across multiple LLM platforms is to perform a point-in-time LLM visibility audit using OpenAI, Anthropic, Google, and Perplexity APIs to compare your recommendation frequency against competitors.

What are the limitations of a point-in-time LLM brand visibility audit?▼

The limitation of a point-in-time LLM brand visibility audit is that it captures recommendation frequency and competitor gaps at a single moment, meaning LLM outputs may shift and require repeated audits to track ongoing visibility changes.