Geo Fundamentals
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences.
Install SEO Geo
$ npx skills add AgriciDaniel/codex-seo --skill seo-geo -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgriciDaniel/codex-seo seo-geo --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AgriciDaniel/codex-seo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-geo .claude/skills/seo-geo && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "seo-geo" agent skill from https://github.com/AgriciDaniel/codex-seo/tree/main/skills/seo-geo into .claude/skills/seo-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-geo", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AgriciDaniel/codex-seo/tree/main/skills/seo-geoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AgriciDaniel/codex-seo --skill seo-geo -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgriciDaniel/codex-seo seo-geo --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/codex-seo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/seo-geo .agents/skills/seo-geo && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "seo-geo" agent skill from https://github.com/AgriciDaniel/codex-seo/tree/main/skills/seo-geo into .agents/skills/seo-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-geo", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AgriciDaniel/codex-seo --skill seo-geo -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgriciDaniel/codex-seo seo-geo --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/codex-seo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/seo-geo .cursor/skills/seo-geo && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "seo-geo" agent skill from https://github.com/AgriciDaniel/codex-seo/tree/main/skills/seo-geo into .cursor/skills/seo-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-geo", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AgriciDaniel/codex-seo.git --path skills/seo-geo--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AgriciDaniel/codex-seo --skill seo-geo -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgriciDaniel/codex-seo seo-geo --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/codex-seo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/seo-geo .gemini/skills/seo-geo && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "seo-geo" agent skill from https://github.com/AgriciDaniel/codex-seo/tree/main/skills/seo-geo into .gemini/skills/seo-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-geo", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AgriciDaniel/codex-seo seo-geoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AgriciDaniel/codex-seo --skill seo-geo -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgriciDaniel/codex-seo.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/seo-geo .github/skills/seo-geo && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "seo-geo" agent skill from https://github.com/AgriciDaniel/codex-seo/tree/main/skills/seo-geo into .github/skills/seo-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-geo", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AgriciDaniel/codex-seo --skill seo-geo -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgriciDaniel/codex-seo seo-geo --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/codex-seo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/seo-geo .opencode/skills/seo-geo && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "seo-geo" agent skill from https://github.com/AgriciDaniel/codex-seo/tree/main/skills/seo-geo into .opencode/skills/seo-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-geo", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
seo-geo- GitHub stars
- 799
- Used in
- 2 other repos
- Token cost
- ~2.5k tokens
- SKILL.md length
- 1,078 words
- Files
- 2
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- MIT
At a glance
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences.
- Works in 5 steps: Citability Score (25%) → Structural Readability (20%) → Multi-Modal Content (15%) → …
- User says AI Overviews
- SKILL.md covers Shared Data Cache, Key Statistics, Critical Insight: Brand… and GEO Analysis Criteria (Updated), plus 12 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
SEO Geo is an agent skill from AgriciDaniel/codex-seo. Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.
It sits in Marketing & SEO, covering AI search optimization. It works with OpenAI and Perplexity. The repository describes itself as: Codex-first SEO skill suite. 26 workflows, 24 TOML agents, DataForSEO/Gemini/Google/Firecrawl integrations, GEO/AEO, CWV, schema, backlinks, local/maps, and deterministic reports. The licence is MIT.
When your agent uses it
- User says AI Overviews
- LLM optimization
Example prompts
- “AI Overviews”
- “AI search”
- “LLM optimization”
- “/seo-geo”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 9a644f6. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
SEO Geo loads about 2.5k tokens when it runs. Until then it costs about 119 tokens; SKILL.md has 1,078 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from AgriciDaniel/codex-seo at commit 9a644f6, republished under its MIT licence (© AgriciDaniel). 1,078 words, ~2,459 tokens.
Download SKILL.mdSave it as
.claude/skills/seo-geo/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- seo-geo
- description
- Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".
- user-invokable
- true
- argument-hint
- [url]
- license
- MIT
- metadata.author
- AgriciDaniel
- metadata.version
- 1.9.6
- metadata.category
- seo
AI Search / GEO Optimization (February 2026)
Shared Data Cache
Step 0 -- Check shared data cache:
Before gathering, check .seo-cache/ for reusable context from related SEO skills.
Reference: ../seo/references/shared-data-cache.md for schemas and dependency map.
Check these cache files when present:
.seo-cache/site-meta.jsonfor domain, business type, industry, and crawl context.seo-cache/audit-scores.jsonfor prior full-audit priorities.seo-cache/pages/{url-slug}/page-analysis.jsonfor page-level context when a URL is providedIf found: parse and use clearly valid fields (note "Using cached [X] from [date]")
If missing, corrupt, or irrelevant: continue with fresh evidence
If the user says "refresh" or "re-run": ignore cache reads and overwrite on write
Key Statistics
| Metric | Value | Source |
|---|---|---|
| AI Overviews reach | 1.5 billion users/month across 200+ countries | |
| AI Overviews query coverage | 50%+ of all queries | Industry data |
| AI-referred sessions growth | 527% (Jan-May 2025) | SparkToro |
| ChatGPT weekly active users | 900 million | OpenAI |
| Perplexity monthly queries | 500+ million | Perplexity |
Critical Insight: Brand Mentions > Backlinks
Brand mentions correlate 3x more strongly with AI visibility than backlinks. (Ahrefs December 2025 study of 75,000 brands)
| Signal | Correlation with AI Citations |
|---|---|
| YouTube mentions | ~0.737 (strongest) |
| Reddit mentions | High |
| Wikipedia presence | High |
| LinkedIn presence | Moderate |
| Domain Rating (backlinks) | ~0.266 (weak) |
Only 11% of domains are cited by both ChatGPT and Google AI Overviews for the same query, so platform-specific optimization is essential.
GEO Analysis Criteria (Updated)
1. Citability Score (25%)
Optimal passage length: 134-167 words for AI citation.
Strong signals:
- Clear, quotable sentences with specific facts/statistics
- Self-contained answer blocks (can be extracted without context)
- Direct answer in first 40-60 words of section
- Claims attributed with specific sources
- Definitions following "X is..." or "X refers to..." patterns
- Unique data points not found elsewhere
Weak signals:
- Vague, general statements
- Opinion without evidence
- Buried conclusions
- No specific data points
2. Structural Readability (20%)
92% of AI Overview citations come from top-10 ranking pages, but 47% come from pages ranking below position 5, demonstrating different selection logic.
Strong signals:
- Clean H1->H2->H3 heading hierarchy
- Question-based headings (matches query patterns)
- Short paragraphs (2-4 sentences)
- Tables for comparative data
- Ordered/unordered lists for step-by-step or multi-item content
- FAQ sections with clear Q&A format
Weak signals:
- Wall of text with no structure
- Inconsistent heading hierarchy
- No lists or tables
- Information buried in paragraphs
3. Multi-Modal Content (15%)
Content with multi-modal elements sees 156% higher selection rates.
Check for:
- Text + relevant images
- Video content (embedded or linked)
- Infographics and charts
- Interactive elements (calculators, tools)
- Structured data supporting media
4. Authority & Brand Signals (20%)
Strong signals:
- Author byline with credentials
- Publication date and last-updated date
- Citations to primary sources (studies, official docs, data)
- Organization credentials and affiliations
- Expert quotes with attribution
- Entity presence in Wikipedia, Wikidata
- Mentions on Reddit, YouTube, LinkedIn
Weak signals:
- Anonymous authorship
- No dates
- No sources cited
- No brand presence across platforms
5. Technical Accessibility (20%)
AI crawlers do NOT execute JavaScript. Server-side rendering is critical.
Check for:
- Server-side rendering (SSR) vs client-only content
- AI crawler access in robots.txt
- llms.txt file presence and configuration
- RSL 1.0 licensing terms
AI Crawler Detection
Check robots.txt for these AI crawlers:
| Crawler | Owner | Purpose |
|---|---|---|
| GPTBot | OpenAI | ChatGPT web search |
| OAI-SearchBot | OpenAI | OpenAI search features |
| ChatGPT-User | OpenAI | ChatGPT browsing |
| ClaudeBot | Anthropic | Claude web features |
| PerplexityBot | Perplexity | Perplexity AI search |
| CCBot | Common Crawl | Training data (often blocked) |
| anthropic-ai | Anthropic | Claude training |
| Bytespider | ByteDance | TikTok/Douyin AI |
| cohere-ai | Cohere | Cohere models |
Recommendation: Allow GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot for AI search visibility. Block CCBot and training crawlers if desired.
llms.txt Standard
The emerging llms.txt standard provides AI crawlers with structured content guidance.
Location: /llms.txt (root of domain)
Format:
# Title of site
> Brief description
## Main sections
- [Page title](url): Description
- [Another page](url): Description
## Optional: Key facts
- Fact 1
- Fact 2Check for:
- Presence of
/llms.txt - Structured content guidance
- Key page highlights
- Contact/authority information
RSL 1.0 (Really Simple Licensing)
New standard (December 2025) for machine-readable AI licensing terms.
Backed by: Reddit, Yahoo, Medium, Quora, Cloudflare, Akamai, Creative Commons
Check for: RSL implementation and appropriate licensing terms.
Show full SKILL.md (452 more words)Show less
Platform-Specific Optimization
| Platform | Key Citation Sources | Optimization Focus |
|---|---|---|
| Google AI Overviews | Top-10 ranking pages (92%) | Traditional SEO + passage optimization |
| ChatGPT | Wikipedia (47.9%), Reddit (11.3%) | Entity presence, authoritative sources |
| Perplexity | Reddit (46.7%), Wikipedia | Community validation, discussions |
| Bing Copilot | Bing index, authoritative sites | Bing SEO, IndexNow |
Output
Generate GEO-ANALYSIS.md with:
- GEO Readiness Score: XX/100
- Platform breakdown (Google AIO, ChatGPT, Perplexity scores)
- AI Crawler Access Status (which crawlers allowed/blocked)
- llms.txt Status (present, missing, recommendations)
- Brand Mention Analysis (presence on Wikipedia, Reddit, YouTube, LinkedIn)
- Passage-Level Citability (optimal 134-167 word blocks identified)
- Server-Side Rendering Check (JavaScript dependency analysis)
- Top 5 Highest-Impact Changes
- Schema Recommendations (for AI discoverability)
- Content Reformatting Suggestions (specific passages to rewrite)
Quick Wins
- Add "What is [topic]?" definition in first 60 words
- Create 134-167 word self-contained answer blocks
- Add question-based H2/H3 headings
- Include specific statistics with sources
- Add publication/update dates
- Implement Person schema for authors
- Allow key AI crawlers in robots.txt
Medium Effort
- Create
/llms.txtfile - Add author bio with credentials + Wikipedia/LinkedIn links
- Ensure server-side rendering for key content
- Build entity presence on Reddit, YouTube
- Add comparison tables with data
- Implement FAQ sections (structured, not schema for commercial sites)
High Impact
- Create original research/surveys (unique citability)
- Build Wikipedia presence for brand/key people
- Establish YouTube channel with content mentions
- Implement comprehensive entity linking (sameAs across platforms)
- Develop unique tools or calculators
DataForSEO Integration (Optional)
If DataForSEO MCP tools are available, use ai_optimization_chat_gpt_scraper to check what ChatGPT web search returns for target queries (real GEO visibility check) and ai_opt_llm_ment_search with ai_opt_llm_ment_top_domains for LLM mention tracking across AI platforms.
Error Handling
| Scenario | Action |
|---|---|
| URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again. |
| AI crawlers blocked by robots.txt | Report exactly which crawlers are blocked and which are allowed. Provide specific robots.txt directives to add for enabling AI search visibility. |
| No llms.txt found | Note the absence and provide a ready-to-use llms.txt template based on the site's content structure. |
| No structured data detected | Report the gap and provide specific schema recommendations (Article, Organization, Person) for improving AI discoverability. |
FLOW Framework Integration
For prompt-guided AI content optimization, use /seo flow optimize <url> — FLOW's 21 optimize-stage prompts complement GEO's citability and structure analysis with evidence-led AI prompts.
Write to shared data cache
After completing all work, write a concise JSON summary to .seo-cache/ when the workflow produced durable findings.
Use the schemas and naming rules in ../seo/references/shared-data-cache.md; include at least cache_type, analyzed_at, source URL/domain, key findings, issues, recommendations, and tool limitations. Add .seo-cache/ to .gitignore if it is missing.
© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/seo-geo of AgriciDaniel/codex-seo.
- SKILL.md
- LICENSE.txt
Open the folder on GitHubat commit 9a644f6
Used in 3 other repositories
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in AgriciDaniel/codex-seo, which our catalogue first saw on October 7, 2026.
Compare with similar skills
SEO Geo next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| SEO Geo this skillAgriciDaniel/codex-seo | 799 | 2 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Geo Fundamentalswasp-lang/wasp | 19k | 9 repos | ~861 | Automated safety check: Pass | MIT | |
| SEO GeoReScienceLab/opc-skills | 1.8k | 4 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude | 11k | — | ~2.8k | Automated safety check: Notes | MIT | |
| Fire Your SEO Agencyleopard627/fire-your-seo-agency | 711 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Marketing OsYuzzyuk/marketing-os | 540 | — | ~2.5k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about SEO Geo
What does SEO Geo do?
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. SEO Geo is an agent skill from AgriciDaniel/codex-seo. Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences.
When should I use SEO Geo?
SEO Geo fits situations like: user says AI Overviews; LLM optimization.
How do I install SEO Geo in Claude Code?
Run `npx skills add AgriciDaniel/codex-seo --skill seo-geo -a claude-code`. Or copy the skill folder (skills/seo-geo in AgriciDaniel/codex-seo) into .claude/skills/seo-geo in your project. Claude Code loads it when a task matches its description.
How do I install SEO Geo in Codex?
Run `npx skills add AgriciDaniel/codex-seo --skill seo-geo -a codex`. Or copy the skill folder (skills/seo-geo in AgriciDaniel/codex-seo) into .agents/skills/seo-geo in your project. Codex loads it when a task matches its description.
Can I use SEO Geo in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/codex-seo --skill seo-geo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-geo, .gemini/skills/seo-geo, .github/skills/seo-geo and .opencode/skills/seo-geo in your project.
What does SEO Geo need to run?
SKILL.md names no scripts, command-line tools or credentials: SEO Geo is instructions for the agent only.
Does SEO Geo access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is SEO Geo safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does SEO Geo use?
SEO Geo is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does SEO Geo use?
About 2.5k tokens (SKILL.md is roughly 9.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to SEO Geo?
Skills that share tags, products or a category with SEO Geo: Geo Fundamentals (wasp-lang/wasp, 19k stars), SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars) and Fire Your SEO Agency (leopard627/fire-your-seo-agency, 711 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains SEO Geo?
AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/codex-seo, which has 799 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on September 11, 2026.
Source: AgriciDaniel/codex-seo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.