gbessoni

gbessoni / seo-agi

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SEO AGI -- The first AI agent that writes pages Google ranks AND LLMs cite. One command in, ranking page out. Built on DeerFlow, powered by 2026 SEO + GEO strategies tested / working. Forensic competitive analysis, 500-token chunk architecture, entity consensus, verification tags. BYOK for GSC, Ahrefs, SEMRush. Works w/ OpenClaw, Claude Code, Codex

aeo agent-skills ahrefs ai-agent claude-code
29
2
100% credibility
Found Mar 19, 2026 at 29 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

SEO-AGI is an automation tool that researches top-ranking search pages for a keyword and generates optimized content pages complete with structure, FAQs, and markup to compete effectively.

How It Works

1
🔍 Discover SEO-AGI

You hear about this handy helper that turns simple keyword ideas into full web pages that rank high in search results.

2
📥 Add it to your AI assistant

You easily add this tool to your favorite AI chat helper, like placing a new skill in its toolbox.

3
🔗 Link your search info accounts

You connect a couple of search data services so the tool can peek at what's really ranking online.

4
🧪 Test with a sample idea

You try it out with a quick example phrase to see sample research and make sure everything feels right.

5
✨ Give it a keyword

You simply tell it a phrase like 'airport parking JFK' and it gathers info on top pages, spots gaps, and plans your better version.

6
📄 Get your ready page

It creates a complete web page with perfect headings, questions people ask, and special tags to help search engines love it.

🚀 Publish and rank

You put the page live on your site and watch it climb to the top of search results, bringing more visitors effortlessly.

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Star Growth

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AI-Generated Review

What is seo-agi?

SEO-AGI is a Python-based AI agent skill for platforms like Claude Code, OpenClaw, and Codex that generates full, ranking-ready web pages from a single keyword command, like `/seoagi "airport parking JFK"`. It pulls live SERP data via DataForSEO, runs forensic competitive analysis with Ahrefs or SEMRush integration (BYOK), detects intent, and outputs Markdown pages with YAML frontmatter, FAQ sections from People Also Ask, JSON-LD schema, and a quality checklist score. Built for 2026 SEO and GEO strategies, it bridges the gap between audits from tools like github seo analyzer or yoast seo github and publishable content.

Why is it gaining traction?

Unlike basic github seo checker tools or nuxt seo github kits that just flag issues, this agent delivers complete pages with 500-token chunk architecture for depth, entity consensus for LLM citations, and verification tags—handling everything from SERP parsing to topical authority enforcement. Developers dig the one-command workflow that automates research.py-style analysis into agent-driven output, falling back gracefully without keys via web search. It's seo agile, turning seo github repo optimization into a repeatable skill with GSC cannibalization detection.

Who should use this?

SEO specialists at agile seo ltd scaling location pages for "plumber in [city]" or refreshing underperformers with GSC data. Indie hackers flipping exact-match domains via competitive intelligence briefs. Content teams needing seo github pages that rank and get cited by Perplexity or Google AI Overviews, without manual SERP scraping.

Verdict

Worth a test install for Python devs in SEO—solid docs, CLI scripts like research.py for verification, and mock mode make it low-risk despite 29 stars and 1.0% credibility score signaling early maturity. Fork and contribute if you want a github seo tool that actually writes the winner.

(198 words)

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