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Seo Audit

Community
umutxyp
seo-audit

Audit and fix a website's technical SEO and AI-search (GEO) readiness against Google's official guidance (plus Bing, Yandex, Apple and the AI crawlers), page by page, ending in a computed SEO/GEO score. Use when asked to audit SEO, fix indexing or crawling problems, check canonicals/hreflang/sitemaps/structured data, diagnose why pages are not indexed or traffic dropped, prepare a site migration, or make a site visible to AI answer engines. Also use before shipping changes that touch routing, metadata, robots.txt or sitemaps.

Overview

Publisherumutxyp
RepositorySeo-Promt-Master
Skill nameseo-audit
Stars
558
Forks
311
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by umutxyp on GitHub. Read the source before you install it.

Installation

Install the Seo Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/umutxyp/Seo-Promt-Master/tree/main/.claude/skills/seo-audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/umutxyp/Seo-Promt-Master.git /tmp/Seo-Promt-Master
mkdir -p .claude/skills
cp -r /tmp/Seo-Promt-Master/.claude/skills/seo-audit .claude/skills/seo-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SEO audit and repair

You are running SEO Prompt Master. Bring every public page of the project in the working directory into compliance with Google's documented guidance, and prove it rather than asserting it.

Before anything else

Read docs/README.md for the map, then keep docs/ open as you work. It is the only source of truth in this skill. If a claim about how Google behaves is not in docs/01–docs/18, say "not covered by the knowledge base" instead of recalling it from memory — the SEO web is full of advice that was true in 2021.

Check verticals/README.md for an overlay matching the project's industry. It adds emphasis; it never replaces the core audit.

Google is the reference engine, not the only one. docs/18 covers where Bing (which also feeds DuckDuckGo, Yahoo and Copilot), Yandex, Apple/Safari, Brave and the regional engines differ — never "fix" something for Google in a way that blocks or throttles them.

For a single narrow task rather than the full workflow (rewrite robots.txt, generate JSON-LD, diagnose a traffic drop), use the matching prompt in prompt-library/README.md instead of running every phase.

Two ways to learn what is wrong, and you need both

Read the code to know what the project intends. Run the tool to know what the server actually does. They disagree more often than anyone expects, and the gap is where the bugs live.

bash
node tools/seo-audit.mjs --url https://the-site.example --max 40 --md seo-report.md

Zero dependencies, Node 18+. It samples across the sitemap rather than the head of it, then checks robots.txt against RFC 9309, sitemap limits and lastmod credibility, host consolidation, per-template soft 404s, canonical self-reference and canonical targets, X-Robots-Tag headers, hreflang reciprocity across pages (a one-way set is discarded in full), duplicate titles, streamed-metadata visibility, raw-HTML content volume, structured-data validity, and image dimensions. It prints a crawler access matrix (Google, Bing, Apple, Yandex… and 16 AI crawlers), an SEO Score and a GEO Score, and exits 1 if any P1 is open, so it can gate a deploy.

Point it at a local build (--url http://localhost:3000) when there is no live site yet.

Three things it deliberately cannot see, which stay your job: whether the content is any good (docs/14), off-page authority (docs/17), and real field CWV data, which only CrUX has (docs/05).

The workflow

Follow START.md, which holds the full phase-by-phase instructions:

PhaseFileOutput
0 — Bootstrap & detectprompts/00-bootstrap.mdStack report
1 — Discover routesprompts/01-discover-routes.mdROUTES-INVENTORY.md
2 — Audit each pageprompts/02-audit-page.mdSEO-AUDIT-PROGRESS.md
3 — Prioritiseprompts/03-prioritize-fixes.mdP1/P2/P3 backlog + baseline score
4 — Fix & verifyprompts/04-apply-and-verify.mdFixes, each with evidence
5 — Live signals (optional)prompts/05-live-signals.mdField data, if a live URL exists

Classify every route as public-index, public-noindex (internal search, live tools, auth screens) or private (dashboards, admin, API). Getting this wrong in Phase 1 makes every later phase wrong: a page being reachable is not the same as it deserving to be indexed.

Rules that are not negotiable

  1. Fix shared infrastructure first. A metadata helper, the sitemap builder, robots.txt, the i18n layer — one change there fixes hundreds of pages. Per-page work afterwards.
  2. Never break the build. Typecheck, lint and build after every change. If it fails, fix it before moving on.
  3. Evidence, not assertion. A page is not fixed until you have re-fetched it and seen the change — curl the route, grep the rendered output, or re-run the tool. "Should now be correct" is not a result.
  4. Persist progress to SEO-AUDIT-PROGRESS.md as you go. Long runs outlive context windows; the file is what survives.
  5. Don't stop between phases to check in. A site with hundreds of routes is a reason to keep working, not a reason to summarise and wait. Stop only if you cannot access the repo or run the build, or if a finding needs a genuine product decision ("should /internal-tool be public at all") — ask that one question and keep going on everything else meanwhile.

Reporting

End with the SEO Score and GEO Score from docs/11: the per-category breakdown, the coverage status (final vs provisional), and the caveat that off-page factors are out of scope. A bare number is not a report.

Before calling a score final, re-verify a random ~15% of everything already marked done by re-reading the actual output, not your notes. Optimistic copy-paste ticks are the failure mode this catches.

Frequently asked questions

What does the Seo Audit AI skill do?

Audit and fix a website's technical SEO and AI-search (GEO) readiness against Google's official guidance (plus Bing, Yandex, Apple and the AI crawlers), page by page, ending in a computed SEO/GEO score. Use when asked to audit SEO, fix indexing or crawling problems, check canonicals/hreflang/sitemaps/structured data, diagnose why pages are not indexed or traffic dropped, prepare a site migration, or make a site visible to AI answer engines. Also use before shipping changes that touch routing, metadata, robots.txt or sitemaps.

Why use Seo Audit on TypingMind?

Because you install it once and use it with any model. Seo Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/umutxyp/Seo-Promt-Master/tree/main/.claude/skills/seo-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seo Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Audit?

As many as you like. As long as a model supports skills, you can use Seo Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Audit AI skill free?

Yes. It is published on GitHub by umutxyp under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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