Agentic-SEO: An Intelligent SEO Analysis Toolkit for the AI Era

Agentic-SEO is an LLM-first open-source SEO analysis toolkit designed for Agent IDE, aiming to address the transformation of search reshaped by AI. It includes 15 professional sub-skills, 7 expert agents, and 25 automation scripts, covering comprehensive analysis from traditional SEO to Generative Engine Optimization (GEO). Core features include reasoning-first evidence-driven analysis, cross-platform compatibility, and forward-looking support for GEO in the AI search era.

Search Engine Optimization (SEO) is undergoing profound changes: traditional keyword ranking and backlink strategies remain important, but generative AI (such as Google AI Overviews, ChatGPT, etc.) has redefined how users discover content. Content needs to be understood and cited by both humans and AI, giving birth to Generative Engine Optimization (GEO) — which focuses on how to make AI systems cite content when generating answers. This is a paradigm shift that requires rethinking content structure, technical implementation, and authority signals.

Agentic-SEO adopts a modular architecture: 15 sub-skills cover key areas of modern SEO, 7 professional agents handle different analysis tasks, and 25 scripts support evidence collection and automation. Sub-skills are layered:

• Technical Foundation Layer: seo audit, technical, etc., adapted to the September 2024 Core Web Vitals update (INP replaces FID);
• Content Quality Layer: E-E-A-T assessment (based on 2025 Google guidelines);
• Structured Data Layer: Schema.org detection (JSON-LD priority), GEO skills;
• Search Presentation Layer: AEO (Answer Engine Optimization), etc.;
• Strategic Competition Layer: Competitor analysis, strategic planning, etc.

Agentic-SEO follows the reasoning-first principle. Unlike traditional tools that only list results, it requires LLMs to conduct in-depth analysis based on evidence. Standard workflow:

1. Collect page evidence;
2. LLM analyzes and provides evidence support;
3. Label confidence level (Confirmed/Likely/Hypothesis);
4. Generate action plan sorted by impact and difficulty. The report format, severity levels, etc., are standardized through the llm-audit-rubric.md to ensure audit consistency.

Agentic-SEO supports cross-platform deployment: local installation on Antigravity IDE, installation in Claude Code/Codex user directories, or global installation. After installation, it is triggered via natural language commands (e.g., "perform an SEO audit on example.com"), and the LLM orchestration layer routes to the corresponding sub-skill. The scope of analysis can be controlled through precise wording (e.g., "check hreflang" only triggers the internationalization agent), balancing quick diagnosis and in-depth analysis needs.

Agentic-SEO's GEO skills analyze the visibility of websites in AI search environments: checking AI crawler permissions (robots.txt), llms.txt configuration, and content citation friendliness. It supports two types of output:

• LLM-first report within IDE (priority action plan with evidence);
• Interactive HTML dashboard (suitable for sharing); All scripts support JSON output and can be integrated into CI/CD processes, meeting needs from individual to enterprise levels.

The tech stack is lightweight: Python3.8+, requests, beautifulsoup4, with optional Playwright support for visual analysis. 25 scripts cover functions such as HTML parsing, robots.txt checking, security header analysis, etc., which can be used independently or orchestrated. It follows the latest standards (e.g., mobile-first indexing fully adopted in July 2024). Open-sourced under the MIT license, derived from the claude-seo project, with standardized structure (SKILL.md, scripts/, resources/) for easy expansion.

Agentic-SEO represents a new paradigm for SEO tools: enhancing the depth and efficiency of human expert analysis rather than replacing judgment. It provides an end-to-end solution from current status diagnosis to strategic planning, focusing on long-term search visibility (traditional engines and AI chat interfaces). As generative AI reshapes information discovery, such tools combining technical rigor and AI reasoning will become essential infrastructure for digital presence management.