GEO-First SEO Audit Tool
zubair-trabzada/geo-seo-claude
Audits a website for AI search visibility across ChatGPT, Claude, Perplexity and Google AI Overviews while checking traditional SEO, schema and E-E-A-T content quality.
Audits whether a site is usable by AI browsing agents, covering Google's Lighthouse Agentic Browsing score, robots.txt and Content-Signal rules, llms.txt, Markdown delivery and WebMCP.
$ npx skills add AgriciDaniel/claude-seo --skill seo-agentic -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-agentic --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/claude-seo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-agentic .claude/skills/seo-agentic && 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-agentic" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-agentic into .claude/skills/seo-agentic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-agentic", 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/claude-seo/tree/main/skills/seo-agenticType 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/claude-seo --skill seo-agentic -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-agentic --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/seo-agentic .agents/skills/seo-agentic && 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-agentic" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-agentic into .agents/skills/seo-agentic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-agentic", 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/claude-seo --skill seo-agentic -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-agentic --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/seo-agentic .cursor/skills/seo-agentic && 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-agentic" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-agentic into .cursor/skills/seo-agentic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-agentic", 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/claude-seo.git --path skills/seo-agentic--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/claude-seo --skill seo-agentic -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-agentic --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/seo-agentic .gemini/skills/seo-agentic && 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-agentic" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-agentic into .gemini/skills/seo-agentic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-agentic", 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/claude-seo seo-agenticInstalls 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/claude-seo --skill seo-agentic -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/seo-agentic .github/skills/seo-agentic && 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-agentic" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-agentic into .github/skills/seo-agentic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-agentic", 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/claude-seo --skill seo-agentic -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/claude-seo seo-agentic --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/seo-agentic .opencode/skills/seo-agentic && 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-agentic" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-agentic into .opencode/skills/seo-agentic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-agentic", 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.
seo-agenticAudits whether a site is usable by AI browsing agents, covering Google's Lighthouse Agentic Browsing score, robots.txt and Content-Signal rules, llms.txt, Markdown delivery and WebMCP.
This skill frames agent readiness as accessibility plus performance plus access policy, with a Markdown and discovery layer on top, and treats WebMCP as an optional enhancement for sites with forms or transactions rather than a foundation, noting that WebKit opposes it, Mozilla is neutral, and only ChatGPT desktop calls its tools by default.
A full audit runs in order: a Lighthouse fraction check through the PSI API with the AGENTIC_BROWSING category, reported as X/N exactly as computed and never converted to a percentage since N is at most 6 and some audits drop out; an HTTP and markup check covering server-rendered content, per-agent robots.txt groups, Content-Signal, llms.txt, ai-catalog.json and /.well-known documents; and a local accessibility-tree heuristic scored 0 to 100, presented separately from the Lighthouse fraction.
A fourth, optional step adds a WAF behavior check that sends requests carrying AI agents' user-agent tokens, run only with site authorization, with its result treated as behavior toward unverified traffic only. Other commands explain an existing Lighthouse result, draft fixes to robots.txt, llms.txt and ai-catalog.json, and refresh the dated vendor-matrix reference. The skill excludes AI citability and brand-signal work, covered by a separate seo-geo skill, and commerce protocol depth, covered by seo-ecommerce.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4b99de2. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agentic Browsing Readiness Audit loads about 2.9k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 1,344 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.
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.
The full file from AgriciDaniel/claude-seo at commit 4b99de2, republished under its MIT licence (© AgriciDaniel). 1,344 words, ~2,868 tokens.
.claude/skills/seo-agentic/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Makes a site usable by AI agents that browse, fill forms and act for people (ChatGPT's browser, Gemini in Chrome, Claude in Chrome, Comet, Edge), and explains Google's Lighthouse Agentic Browsing result.
The framing that survives every standards outcome: agent readiness is accessibility plus performance plus access policy, with a Markdown and discovery layer on top. WebMCP is an optional enhancement for sites with forms or transactions, not a foundation (WebKit opposes it, Mozilla is neutral, and only ChatGPT desktop calls tools by default).
| Command | What it does |
|---|---|
/seo agentic <url> | Full agent-readiness audit (default mode) |
/seo agentic lighthouse <url or file.json> | Explain the Lighthouse Agentic Browsing X/N result |
/seo agentic fix <url> | Draft fixes: robots.txt Content-Signal, llms.txt, ai-catalog.json, WebMCP |
/seo agentic refresh | Re-verify the dated facts in references/vendor-matrix.md |
Run the steps in this order and keep every tool's JSON for the report.
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run lighthouse_agentic.py <url> --strategy both --json.
Uses PSI v5 (category=AGENTIC_BROWSING); a Google API key avoids the
shared anonymous quota. With a saved report use --from-json <file>.
Report the fraction as X/N exactly as computed. Never convert it to a
percentage and never assume N: it is at most 6, and N/A and informative
audits drop out. Read references/lighthouse-agentic-category.md before explaining it."${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run agentic_check.py <url> --json.
Covers server-rendered content, robots.txt groups per AI agent and
Content-Signal, llms.txt, Markdown delivery, ai-catalog.json, /.well-known
documents, and WebMCP markup."${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run agent_ux_check.py <url> --json.
A local 0-100 heuristic; present it separately from the Lighthouse fraction.
Page-level criteria: references/agent-friendly-pages.md.--ua-matrix to step 2
only when the user controls the site or confirms they are authorized to
test it: it sends requests carrying AI agents' user-agent tokens. Treat the
result as behaviour toward unverified traffic, never as proof that the
real agent is blocked. Access rules: references/access-policy.md.well-known:ucp) and
hand depth to seo-ecommerce (ucp_check.py).| Priority | Item | Tool check id |
|---|---|---|
| P0 | Accessible names, valid roles, nothing interactive hidden from the tree | Lighthouse agent-accessibility-tree, agent_ux_check.py |
| P0 | CLS at or under 0.1 | Lighthouse cumulative-layout-shift |
| P0 | Primary content present without JavaScript | server-rendered |
| P0 | robots.txt reachable, with deliberate groups per AI purpose | robots-reachable, robots-ai-groups |
| P0 | WAF lets verified bots and signed agents through; no CAPTCHA on content | waf-ua-matrix plus WAF logs |
| P1 | Private paths protected by authentication, not robots.txt (user-triggered agents may ignore it) | robots-user-agents |
| P1 | Content-Signal inside every relevant group (absence is info, a gap is warn) | content-signal |
| P1 | llms.txt passing the Lighthouse rules (absence is info) | llms-txt |
| P1 | Markdown via .md URLs or Accept: text/markdown with Vary: Accept | markdown-delivery |
| P1 | Stable, visible confirmation states; no hover-only menus or focus traps | manual review (no script evidence; say so if not checked) |
| P1 (transactional) / P2 | Imperative WebMCP tools bound to existing handlers | webmcp-tools, Lighthouse webmcp-registered-tools |
| P1 if tools exist | Tool safety: annotations, confirmation, logging, and no tool description that tells agents to skip confirmation | review the tool list and descriptions from Lighthouse webmcp-registered-tools (it sees tools registered by third-party scripts that the page source does not show) against references/webmcp.md |
| P2 | WebMCP registered on document.modelContext, not only the legacy navigator entry point | webmcp-entry-point |
| P2 | API Catalog, OAuth metadata (only if you run APIs) | well-known:api-catalog, well-known:oauth-* |
| P3 | A2A agent card, UCP profile (only if you run them) | well-known:agent-card.json, well-known:ucp |
| P3 | Declarative WebMCP form attributes (Chrome only) | webmcp-form-annotations (static); Lighthouse webmcp-form-coverage |
| P3 (P1 when a catalog URL fails, including a catch-all 200 at the well-known path) | ai-catalog.json (only if you have agent resources) | ard-catalog |
| P1 | Unknown URLs return a real 404 (a catch-all 200 fails llms-txt and ard-schema in Lighthouse) | http-404 |
Fix in order P0, then P1. Do not recommend lower priorities while a measured P0 fails. A P0 you could not test (for example the WAF check on a third-party site) is reported as "not tested" and does not block the rest; the Lighthouse "paths" are listed as options either way.
X/N (mobile and desktop), the Agent-UX heuristic,
and the count of P0 failures. One sentence on what most limits agents today.lighthouse_agentic.py that add a
counted audit, stated as options, not goals.Drafts go to stdout for review; nothing is deployed and no file is overwritten.
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run agentic_fix.py robots <url> --signal "search=yes, ai-input=yes, ai-train=no"
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run agentic_fix.py llms <url>
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run agentic_fix.py ai-catalog --publisher example.com --entry "Name|media type|url"
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run agentic_fix.py webmcp <url> --jsonrobots adds Content-Signal to each group and never changes Allow or
Disallow. Ask the user for their training policy before choosing
ai-train=yes or no; do not decide it for them.webmcp drafts one tool per real form, submitting through the form so the
UI's own handler runs. Mark sends, purchases and deletes consequential and
keep a human confirmation step. Read references/webmcp.md first.references/discovery-and-markdown.md.references/vendor-matrix.md and keep its source
grade. If a row is older than 60 days, say so or run /seo agentic refresh.Follow the "Refresh procedure" in references/vendor-matrix.md. Update the
matrix dates, references/lighthouse-agentic-category.md when the Lighthouse
version changes, and the CHECKED_ON constant in agentic_check.py together.
url_safety (SSRF and DNS-rebinding guards). For
a local or staging host, the operator names it in
CLAUDE_SEO_LOCAL_TARGETS (see seo-technical).lighthouse_agentic.py reads the key from the shared
Google config and redacts it from errors.references/lighthouse-agentic-category.md: the seven audits, the fraction
math, maximum N, the axe rule list, ARD discovery orderreferences/agent-friendly-pages.md: page-level accessibility and layout
criteria for agentsreferences/access-policy.md: tokens by purpose, RFC 9309 group selection,
Content-Signal, WAF, Web Bot Authreferences/discovery-and-markdown.md: llms.txt, Markdown delivery (tested
nginx), ai-catalog.json, /.well-known documents, commerce pointersreferences/webmcp.md: status, consumers, API, safe patternsreferences/vendor-matrix.md: dated, source-graded vendor facts and the
refresh procedure| Scenario | Action |
|---|---|
| PSI quota exceeded or no key | Say so, suggest configuring a Google API key (/seo google setup), and continue with steps 2 and 3. Offer a local run: npx lighthouse@latest <url> --only-categories=agentic-browsing --output=json, then --from-json. |
Agent-UX score_status: unavailable (no Chromium) | Report the heuristic as unavailable and rely on Lighthouse agent-accessibility-tree for the tree. Use html_findings (when html_only_fallback is true) only if server-rendered passed; on a client-rendered page they describe the empty app shell. Suggest /seo setup for Chromium. |
| Static WebMCP count differs from Lighthouse | registerTool_call_sites counts call sites, not tools. Report the Lighthouse webmcp-registered-tools list as the tool count. |
| No agentic-browsing category in a saved report | The report predates Lighthouse 13.2; rerun with a current version. |
| WebMCP audits N/A | The testing browser lacked WebMCP support, or the page registers nothing. Not a defect. |
| Site blocks the audit fetcher | Report the status and headers; do not retry with spoofed agent user agents unless step 4's authorization applies. |
| URL blocked by url_safety | Explain the SSRF guard; for a host the user controls, see CLAUDE_SEO_LOCAL_TARGETS. |
© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (references) in skills/seo-agentic of AgriciDaniel/claude-seo.
Open the folder on GitHubat commit 4b99de2
Agentic Browsing Readiness Audit 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 |
|---|---|---|---|---|---|---|
| Agentic Browsing Readiness Audit this skillAgriciDaniel/claude-seo | 19k | — | ~2.9k | Automated safety check: Pass | MIT | |
| GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude | 11k | — | ~2.8k | Automated safety check: Notes | MIT | |
| SEO Ops Structural Checklisttigerless-labs/seo-ops | 700 | — | ~3.3k | Automated safety check: Notes | None | |
| SEOBhanunamikaze/Agentic-SEO-Skill | 955 | — | ~4.9k | Automated safety check: Notes | MIT | |
| Qiaomu SEOjoeseesun/qiaomu-seo | 441 | — | ~2.6k | Automated safety check: Pass | MIT | |
| SEOAgriciDaniel/seo-os | 135 | 2 repos | ~3.5k | Automated safety check: Pass | MIT |
zubair-trabzada/geo-seo-claude
Audits a website for AI search visibility across ChatGPT, Claude, Perplexity and Google AI Overviews while checking traditional SEO, schema and E-E-A-T content quality.
tigerless-labs/seo-ops
Checks a site against a deterministic set of structural SEO and GEO checks, either running a crawler-eye report against a URL or reviewing code against the same checklist.
Bhanunamikaze/Agentic-SEO-Skill
Deterministic LLM-first SEO audits for websites, blog posts, and GitHub repositories.
joeseesun/qiaomu-seo
Audit, diagnose, research, plan, implement, experiment on, and verify website SEO across Google, Bing, and AI-search surfaces.
AgriciDaniel/seo-os
Comprehensive SEO analysis for any website or business type.
zubair-trabzada/geo-seo-claude
Validates an existing llms.txt file or crawls a site to generate a new one, following the format rules for a root-level Markdown file aimed at AI systems.
AgriciDaniel/claude-seo
Audits, validates and generates hreflang tags for multi-language and multi-region sites in HTML, HTTP headers or XML sitemaps, flagging common code and return-tag mistakes.
AgriciDaniel/claude-seo
Pulls real Google data for SEO work: Search Console, PageSpeed Insights, CrUX field data, the Indexing API and GA4 organic traffic, through /seo google commands.
AgriciDaniel/claude-seo
Clusters keywords by how much their search results overlap and designs a hub-and-spoke content plan with an internal link matrix and an interactive cluster map.
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
AgriciDaniel/claude-seo
Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.
AgriciDaniel/claude-seo
Generates Open Graph previews, blog hero images, product photos and infographics for SEO use through Gemini image tools and the banana extension.
Categories
Audits whether a site is usable by AI browsing agents, covering Google's Lighthouse Agentic Browsing score, robots.txt and Content-Signal rules, llms.txt, Markdown delivery and WebMCP. This skill frames agent readiness as accessibility plus performance plus access policy, with a Markdown and discovery layer on top, and treats WebMCP as an optional enhancement for sites with forms or transactions rather than a foundation, noting that WebKit opposes it, Mozilla is neutral, and only ChatGPT desktop calls its tools by default.
Agentic Browsing Readiness Audit fits situations like: explaining or improving a site's Google Lighthouse Agentic Browsing score; checking whether robots.txt and llms.txt are set up for AI browsing agents; auditing a site's accessibility tree for how well an agent can navigate it; testing, with authorization, how a WAF treats AI agent traffic.
Run `npx skills add AgriciDaniel/claude-seo --skill seo-agentic -a claude-code`. Or copy the skill folder (skills/seo-agentic in AgriciDaniel/claude-seo) into .claude/skills/seo-agentic in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgriciDaniel/claude-seo --skill seo-agentic -a codex`. Or copy the skill folder (skills/seo-agentic in AgriciDaniel/claude-seo) into .agents/skills/seo-agentic in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/claude-seo --skill seo-agentic -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-agentic, .gemini/skills/seo-agentic, .github/skills/seo-agentic and .opencode/skills/seo-agentic in your project.
Going by SKILL.md and its folder, Agentic Browsing Readiness Audit needs the command-line tools its instructions call (npx). Our summary lists: The bundled claude-seo CLI scripts; Optionally a Google API key for the Lighthouse Agentic Browsing check.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Agentic Browsing Readiness Audit is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Agentic Browsing Readiness Audit: GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars), SEO Ops Structural Checklist (tigerless-labs/seo-ops, 700 stars), SEO (Bhanunamikaze/Agentic-SEO-Skill, 955 stars) and Qiaomu SEO (joeseesun/qiaomu-seo, 441 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/claude-seo, which has 18,574 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 4, 2026.
Source: AgriciDaniel/claude-seo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.