Ultimate SEO + GEO — LLM-Agnostic SEO Agent

The definitive SEO and Generative Engine Optimization agent for AI coding tools. LLM-agnostic — works on any platform that reads AGENTS.md. Runs full site audits with scored findings, generates ready-to-deploy fixes, and optimizes content for both Google Search and AI search engines (Google AI Overviews, AI Mode, ChatGPT Search, Perplexity). Exports HTML and Excel reports.

Works with any AGENTS.md-compatible tool: Claude Code, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot, Windsurf, Cline, Aider, Devin, and more.

Author: Myk Pono · Lab · LinkedIn

What It Does

Give it a URL and it returns a scored audit, prioritized action plan, and executable fixes — not vague advice.

Three modes, one skill:

Most requests run all three in sequence. Skip to Mode 2 if you already have audit findings; skip to Mode 3 if you know exactly what to fix.

Who it’s for and what the bundled report does

Built for developers, founders, and marketers using AI coding agents who want scripted checks plus guided fixes. python scripts/generate_report.py <url> aggregates many diagnostics in one HTML/Excel export; by default several checks use the seed URL and modest crawl limits (not a full-site Screaming Frog–style crawl). For broader link and canonical coverage, use --crawl-deep (capped depth/pages; slower and more load on the target host). For JS-rendered sites or very large audits, optional extensions (Firecrawl, DataForSEO) are documented in references/optional-extensions-mcp.md. Setup: pip install -r requirements.txt (optional API keys for PageSpeed and extensions).

Coverage

SEO (21 Modules)

• Technical SEO — Core Web Vitals (LCP/INP/CLS), crawlability, indexability, JavaScript rendering, security headers, mobile-first
• On-Page SEO — Title tags, meta descriptions, H1s, URLs, canonicals
• Content & E-E-A-T — Content quality scoring, author credentials, experience signals, readability, thin content detection, content pruning/refresh
• Schema Markup — All active Schema.org types, deprecation-aware (HowTo, SpecialAnnouncement removed), JSON-LD generation and validation
• Keywords & Content Strategy — Keyword research, topic clusters, content gaps, funnel mapping (TOFU/MOFU/BOFU)
• Link Building — Internal link audit, orphan page detection, anchor text analysis, external link quality hierarchy
• Local SEO — Google Business Profile, NAP consistency, review strategy, LocalBusiness schema, citation building
• International SEO — Hreflang audit, language code validation, bidirectional return tags
• Programmatic SEO — Quality gates for pages at scale, thin content safeguards, template optimization
• Site Migrations — Pre/during/post migration checklists, redirect map validation, Change of Address tool
• Analytics & Reporting — GA4/GSC setup, traffic drop diagnostics, CTR benchmarks, monthly maintenance

GEO (AI Search Optimization)

• Platform Coverage — Google AI Overviews, Google AI Mode, ChatGPT Search, Perplexity, Bing Copilot
• Citability Scoring — Passage-level optimization (134–167 word answer blocks), answer placement in first 60 words
• Brand Mention Strategy — YouTube/Reddit/Wikipedia/LinkedIn correlation data, Wikidata entity setup
• AI Crawler Management — robots.txt configuration for GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot
• llms.txt — Template generation for the emerging AI content standard
• RSL 1.0 — Machine-readable AI licensing (December 2025 standard)

Platform Compatibility

AGENTS.md is the cross-tool standard (Linux Foundation, 20+ tools). One file covers all AGENTS.md-compatible platforms.

Installation

Any AGENTS.md-Compatible Tool (Codex, Gemini CLI, Copilot, Windsurf, Cline, Aider, etc.)

Clone the repo into your project or working directory. The tool auto-discovers AGENTS.md:

git clone https://github.com/mykpono/ultimate-seo-geo.git
cd ultimate-seo-geo
pip install -r requirements.txt

That's it. Open the folder in your tool and start asking for SEO audits.

Claude Code — Plugin Marketplace

Use Claude Code (the terminal-based Claude product). The lines below are slash commands you type in the Claude Code chat, not in macOS Terminal or zsh.

In Claude Code, run:

/plugin marketplace add mykpono/ultimate-seo-geo
/plugin install ultimate-seo-geo@ultimate-seo-geo

Or install directly without adding the marketplace first:

/plugin install https://github.com/mykpono/ultimate-seo-geo.git

Updating the plugin after a GitHub release

Claude Code caches the marketplace clone locally — it does not auto-pull new commits. Pick one approach:

Option A — Update the cache (fastest):

cd ~/.claude/plugins/marketplaces/ultimate-seo-geo && git pull

Then restart your Claude session (or run /reload-plugins in Claude Code).

Option B — Full reinstall:

/plugin uninstall ultimate-seo-geo
/plugin marketplace add mykpono/ultimate-seo-geo
/plugin install ultimate-seo-geo@ultimate-seo-geo

For maintainers — before pushing a release, verify plugin sync:

python3 scripts/check-plugin-sync.py

Claude Code — Manual skill install (global)

cp -r ultimate-seo-geo ~/.claude/skills/

Cursor IDE

Cursor reads AGENTS.md automatically from the repo root. For the full skill experience with progressive disclosure, install to the skills directory:

rsync -a --delete --exclude='.git/' --exclude='__pycache__/' --exclude='*.pyc' --exclude='.venv/' \
  /path/to/ultimate-seo-geo/ ~/.claude/skills/seo/

ChatGPT Custom GPT

ChatGPT Custom GPTs cannot read repo files — they need uploaded knowledge files. See chatgpt/README.md for step-by-step setup.

Claude Desktop App (claude.ai)

The Claude desktop app does not load skills from ~/.claude/skills/. Instead:

1. Open a Project in claude.ai
2. Go to Project Knowledge
3. Upload SKILL.md as a file, or paste its contents into custom instructions

Usage Examples

Full site audit:

"Audit mysite.com — we've seen a traffic drop over the past 3 months"

Schema generation:

"Generate the complete schema markup for my SaaS product page at app.example.com"

Local SEO:

"I run a plumbing company in Austin, TX. We're not showing up for 'plumber near me'. What's wrong?"

GEO optimization:

"How do I get cited by ChatGPT and Perplexity for our core product keywords?"

Site migration:

"We're moving from Magento to Shopify — 3,000 product pages. What do we need for SEO?"

Architecture

ultimate-seo-geo/
├── AGENTS.md             ← Universal entrypoint (24KB, under 32KB Codex limit)
│                           Auto-loaded by Codex, Gemini, Copilot, Windsurf, Cline, etc.
├── GEMINI.md             ← Gemini CLI entrypoint (imports AGENTS.md)
├── SKILL.md              ← Routing shell (~230 lines): §0, guardrails, procedure index
│
├── .github/
│   └── copilot-instructions.md  ← GitHub Copilot supplementary context
│
├── chatgpt/              ← ChatGPT Custom GPT bundle
│   ├── instructions.txt     Condensed instructions (under 8K chars)
│   ├── README.md            Setup guide
│   └── copy-knowledge-files.sh  Copies SKILL + references/ + references/procedures/
│
├── references/            ← Domain knowledge + procedures (load on demand)
│   ├── procedures/        ← Step-by-step §1–§21 (split from former monolithic SKILL.md)
│   ├── ai-search-geo.md     GEO signals, platform data, brand strategy
│   ├── technical-checklist.md  CWV fixes, JS SEO, IndexNow
│   ├── schema-types.md       All Schema.org types + templates
│   ├── eeat-framework.md     E-E-A-T scoring, spam categories
│   ├── core-eeat-framework.md  80-item CORE-EEAT content benchmark
│   ├── cite-domain-rating.md   40-item CITE domain authority
│   ├── entity-optimization.md  Entity / Knowledge Graph checklist
│   ├── ...and 14 more topical files
│
├── scripts/               ← 35 bundled Python scripts
│   ├── generate_report.py    Full-site HTML dashboard (runs all scripts)
│   ├── validate_schema.py    JSON-LD validation
│   ├── robots_checker.py     AI crawler access check
│   ├── ...and 28 more
│
└── evals/                 ← 15 scenarios, 63 assertions + golden fixtures
    ├── evals.json
    └── fixtures/

Progressive disclosure for cross-platform support:

• Layer 1 — AGENTS.md (~27KB): auto-loaded by AGENTS.md-compatible tools. Routing, condensed procedures, script reference, quality gates.
• Layer 2 — SKILL.md (routing shell) + references/procedures/*.md (detailed steps per §) + topical references/*.md + scripts/: load only what the task needs.

For Claude Code and Cursor, SKILL.md is loaded natively as a skill (small shell); hosts pull references/procedures/ when a section’s detail is required. Other platforms use AGENTS.md plus explicit reads of procedure files as needed.

Claude Code plugin install: bash setup-plugin.sh mirrors SKILL.md, AGENTS.md, GEMINI.md, references/, scripts/ (audit scripts only), and evals/ into plugins/.../skills/ultimate-seo-geo/ so python scripts/... paths work after marketplace install.

Claude Code: why two .claude-plugin/ folders?

Do not merge them into one directory. This repo follows the layout Claude Code expects for a GitHub marketplace plus an installable plugin:

When someone runs /plugin marketplace add mykpono/ultimate-seo-geo, the tool reads the root catalog, then resolves source and loads that folder’s plugin.json. Putting both JSON files in a single .claude-plugin/ would break that resolution. A repo that is only a plugin (no marketplace) can use a single plugin manifest at the root, but then you typically would not use the marketplace flow for that repo.

Scripts

Bundled in the plugin: 35 diagnostic scripts. check-plugin-sync.py, check_github_release.py, and check_version_sync.py are repo-only for CI and are not included in the bundle. Python 3.8+; install dependencies with:

pip install -r requirements.txt

On PEP 668–managed Python (e.g. Homebrew), use a venv first: python3 -m venv .venv && .venv/bin/pip install -r requirements.txt, then run scripts with .venv/bin/python.

Preflight (optional): python scripts/requirements-check.py or python scripts/requirements-check.py --json — exits non-zero if requests / beautifulsoup4 are missing.

Eval regression (optional): save a model reply to transcript.txt, then python scripts/score_eval_transcript.py --eval-id 1 --text-file transcript.txt. CI runs python scripts/score_eval_transcript.py --all-fixtures against evals/fixtures/.

Run the full-site report to start any audit:

python scripts/generate_report.py https://example.com --output seo-report.html

Eval Results

Benchmarked against baseline (no skill) across multiple scenarios (see evals/evals.json; 15 prompts, 63 assertions):

The skill adds ~50 seconds and ~19K tokens per task, but achieves 100% on structured output requirements (finding format, correct schema types, health scoring) where the baseline misses.

Test scenarios include: YMYL publisher audit, local HVAC + schema, SaaS schema, migration plan, recipe content (no URL), negative PPC, news/paywall, scoped robots+sitemap-only, international hreflang, pre-launch strategy (no live site), traffic drop routing, GEO platform routing, execute mode risk gate (robots.txt), evaluator-optimizer fabrication check. Automated check: python scripts/score_eval_transcript.py --all-fixtures.

Troubleshooting

What It Doesn't Do

This skill focuses on organic search and AI search visibility. It does not cover:

• PPC / Google Ads / paid advertising
• Social media management or posting
• General marketing strategy
• Web design or UX (beyond SEO-relevant elements)
• Content writing (it generates briefs and meta tags, not full articles)

Credits

Built on research, patterns, and prior work from:

• Bhanunamikaze/Agentic-SEO-Skill — SEO analysis toolkit architecture, specialist agent patterns, technical SEO audit framework
• AgriciDaniel/claude-seo — GEO platform citation data, DataForSEO integration patterns, AI crawler detection tables, subagent delegation architecture

Maintainers

Releases, version alignment, and syncing the plugin skill tree: RELEASE.md.

License

MIT — use it, modify it, ship it.