Verified project record

zubair-trabzada/geo-seo-claude

A Claude Code skill that audits websites for AI-powered search readiness (GEO) alongside traditional SEO, producing scored reports, crawler-access recommendations, llms.txt files, and prioritized action plans. It runs as an installed skill with slash commands and requires the Claude Code CLI as an external runtime dependency.

Project overview

It combines a full GEO/SEO audit that launches five specialized subagents simultaneously with citability scoring, robots.txt checks for more than 14 AI crawlers, and PDF report visualizations into a single Claude Code workflow.

Project type: AI Agent · Workflow · AI Search
Use cases: Search & Research
Deployment: Refer to project documentation
License: MIT

Best for

Teams and individual users who already work in the Claude Code CLI and need website audits and optimization deliverables for AI-powered search, including scoring, crawler recommendations, llms.txt generation, and client-ready reports.

Key capabilities

Runs a full GEO and SEO audit of a URL, including discovery, parallel analysis, score synthesis, and a prioritized action plan.
Analyzes website content blocks for readiness to be cited by AI systems.
Checks robots.txt for more than 14 AI crawlers and provides specific allow or block recommendations.
Scans named third-party platforms and other sources for brand mentions relevant to AI visibility.
Provides tailored optimization recommendations for individual AI search platforms.
Generates an llms.txt file intended to help AI crawlers understand a website's structure.
Detects, validates, and generates schema markup as part of website analysis.
Generates GEO reports in Markdown or PDF, with PDF visualizations and prioritized action plans.

Limitations and risks

The skill requires Claude Code CLI and is not documented as an independent runtime.
The uninstaller does not remove the ~/.geo-prospects runtime-data directory; users must delete it manually if no longer needed.
The data boundary, telemetry, cost dependency, GPU, and model requirements are not documented, so no local-only or cost-free operation can be concluded from the available information; inference occurs through the required Claude Code CLI.

Getting started

Ensure Python 3.8 or newer, Claude Code CLI, and Git are available. Install the skill using the documented installer or the manual clone procedure; on Windows, run installation from Git Bash rather than PowerShell or Command Prompt. Then open Claude Code and run a documented /geo command with a website URL to produce a first audit.

Alternatives and comparisons

Addresses a different need: multi-platform AI search aggregation and web content extraction for agents, rather than auditing a website's GEO readiness. Evaluate it against its own documentation before use.
Covers multi-agent research report generation rather than website GEO optimization. Evaluate it against its own documentation before use.
Covers agent-oriented web search and verification workflows rather than website GEO audits. Evaluate it against its own documentation before use.

Project comparisons

Evidence and sources

GitHub project description: GEO-first SEO skill for Claude Code.
README: <strong>GEO-first, SEO-supported.</strong> Optimize websites for AI-powered search engines<br/> (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining tradit…
README: curl -fsSL https://raw.githubusercontent.com/zubair-trabzada/geo-seo-claude/main/install.sh | bash
README: git clone https://github.com/zubair-trabzada/geo-seo-claude.git cd geo-seo-claude ./install.sh
README: ├── geo/ # Main skill orchestrator │ └── SKILL.md # Primary skill file with commands & routing ├── skills/ # 13 specialized sub-skills

Source updated at: 2026-09-22T18:35:29Z

Open original GitHub project