AI SEO

Name: AI SEO
Author: AutomateLab-tech

by AutomateLab-techversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.AutomateLab-tech/ai-seo

Install

Overview

Description from the maker (original English)

MCP server for AI-SEO auditing: schema, robots.txt, llms.txt, citation scoring, and AEO/GEO rewrites

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ai-seo": {
      "command": "npx",
      "args": [
        "-y",
        "@automatelab/ai-seo-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add ai-seo -- npx -y @automatelab/ai-seo-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ai-seo": {
      "command": "npx",
      "args": [
        "-y",
        "@automatelab/ai-seo-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ai-seo": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@automatelab/ai-seo-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account AutomateLab-tech, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

More stars than 0% of the other 3560 servers in this category
Published to the registry more recently than 9% of the other 3560 servers in this category
Basic checks equal to or better than 100% of the other 3560 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AI SEO safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@automatelab/ai-seo-mcp

AI Citation Toolkit for the Model Context Protocol

Audit why AI systems do or do not cite your pages. MCP server. No API keys.

Works inside Claude, Cursor, Windsurf, Codex, and any MCP client that speaks stdio.

What it checks

AI crawler access - GPTBot, OAI-SearchBot, ClaudeBot, and PerplexityBot allowed or blocked in robots.txt
`llms.txt` - present, spec-compliant, links alive
Structured answer extraction - FAQ headings, BLUF paragraphs, answer-ready blocks
[[schema]] completeness - FAQPage, Article, Organization, Person; flags deprecated patterns
Entity clarity - named entity density and sameAs coverage that help AI systems identify the subject
Citation formatting - canonical URL hygiene, og:url, hreflang, noindex traps
Sitemap freshness - lastmod signals that tell crawlers the page is current

Run an audit. Get a list of citation-blockers, ranked.

You: Run an AI-SEO audit on https://automatelab.tech/launching-the-ai-seo-mcp/.

Result (truncated):

"url": "https://automatelab.tech/launching-the-ai-seo-mcp/", "score": 61, "grade": "C", "dimension_scores": { "schema": 45, "technical": 80, "structure": 40, "robots": 90, "freshness": 85, "authority": 40, "entity_density": 21, "sitemap": 100 }, "findings": [ { "severity": "critical", "category": "structure", "message": "No FAQ structure found (no FAQPage schema or H3 question headings).", "fix": "Add FAQ H3 headings ending in '?' with answer paragraphs, and a FAQPage JSON-LD block.", "estimated_impact": "high" }, { "severity": "warning", "category": "authority", "message": "Low authority signals - missing Organization or author Person schema.", "fix": "Add Organization JSON-LD and Article.author as a Person node with sameAs links.", "estimated_impact": "high" } ] }

Each finding names the exact fix. No opaque scores, no guesswork.

Install

npx -y @automatelab/ai-seo-mcp

Requires Node 20 or later.

Claude Desktop

Add to %APPDATA%\Claude\claude_desktop_config.json (Windows) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

"mcpServers": { "ai-seo": { "command": "npx", "args": ["-y", "@automatelab/ai-seo-mcp"] } } }

Restart Claude Desktop. Any MCP client that supports stdio transport works - same command / args pattern.

Optional: headless rendering for SPAs

By default audit_page reads raw HTML — fast, but misses content on React/Vue/Angular SPAs. Pass render: "headless" to spin up Chromium and audit the rendered DOM (adds 3-10s per audit).

One-time install:

npm install playwright-core

npx playwright install chromium

Then call audit_page with render: "headless". Use static for everything else — most marketing sites and docs render fine without it.

Run it in CI (GitHub Action)

This repo doubles as a GitHub Action. Drop it in a workflow to fail a PR when any page regresses below an AI-citation score - the same audit engine, gated on every change.

- uses: actions/checkout@v4

name: AI-SEO audit uses: AutomateLab-tech/ai-seo-mcp@v0.5.0 with: urls: "https://example.com,https://example.com/pricing" min-score: "70" # fail if any URL scores below this respect-robots: "true" # set false for staging / sites you own report-path: "ai-seo-report.md" # optional Markdown report artifact fail-on-regression: "true"

The Action builds the auditor from the pinned ref, runs audit_page on each URL, writes a scorecard to the job summary, and exits non-zero if any URL falls below min-score (when fail-on-regression is true). Outputs: min_score_observed, urls_audited, report_path. Full example: examples/github-action-usage.yml.

Tool	Purpose
`audit_page`	Composite AI-SEO audit with 8-dimension scoring (schema, technical, structure, robots, freshness, authority, entity density, sitemap).
`audit_schema`	Validate JSON-LD against Schema.org rules and AI-citation best practice. Flags deprecated patterns.
`audit_canonical`	Canonical link integrity, trailing-slash hygiene, `og:url` consistency.
`audit_site`	Single-call site sweep: `audit_page` + `check_robots` + `check_sitemap` + `audit_schema` with overall grade and top-5 fixes.
`audit_sitemap`	Site-wide content audit: stride-sample N URLs from the sitemap, run `audit_page` on each, return distribution + worst pages + top findings.
`check_robots`	Parse `robots.txt` and report per-crawler allow/disallow for all known AI crawlers. Surfaces the GPTBot-blocked-but-OAI-SearchBot-allowed trap.
`check_sitemap`	Validate XML sitemaps: presence, URL count, `lastmod` freshness, image/video extensions.
`check_technical`	HEAD tag audit: canonical, OpenGraph, Twitter Card, hreflang, HTTPS, noindex, title hygiene.
`score_ai_overview_eligibility`	Score a page's probability of appearing in Google AI Overviews using current correlation factors.
`score_citation_worthiness`	Score how citable a page or text block is for Perplexity, ChatGPT, Google AI Overviews, and Claude. Includes per-section `chunk_analysis` / `extractability_score`: how cleanly an LLM can lift a standalone answer from each heading.
`score_agentic_browsing`	Score a page against the Lighthouse "Agentic Browsing" category (May 2026): llms.txt, WebMCP, accessibility-tree integrity, and layout stability.
`score_test_citation`	Simulate "would an AI engine cite this for this query?" via MCP sampling, with deterministic heuristic fallback.
`llms_txt_generate`	Generate `llms.txt` and optionally `llms-full.txt` from a domain's sitemap.
`llms_txt_validate`	Lint an existing `llms.txt` for spec compliance and broken links.
`rewrite_aeo`	Rewrite content for Answer Engine Optimization (BLUF structure, FAQ format, schema additions).
`rewrite_geo`	Rewrite content for Generative Engine Optimization (entity definitions, comparison tables, synthesis-ready structure).
`extract_entities`	Extract named entities, `sameAs` links, and citation-density score from a page's content and structured data.
`diff_pages`	Compare two URLs for AI citation-worthiness: side-by-side dimension scores, gap analysis, and prioritized fix recommendations for url_a.
`report_save`	Render an `audit_page` / `audit_site` result as a Markdown report and write it to disk under `MCP_WORKSPACE_ROOT`.

v0.4.0 renamed tools from flat snake_case to dot-notation (audit_page, check_robots, …) for a navigable hierarchy. Update any saved invocations.

Environment variables: see ENV.md.

Contributing

Bug reports, feature ideas, and PRs welcome. See CONTRIBUTING.md.

Security

To report a vulnerability, see SECURITY.md.

License

MIT - see LICENSE.

Built by automatelab.tech

Maintenance and verification

See the maintenance guide for interpretation limits, current tool names where applicable, and reproducible verification.

AI SEO

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

@automatelab/ai-seo-mcp

What it checks

Run an audit. Get a list of citation-blockers, ranked.

Install

Claude Desktop

Optional: headless rendering for SPAs

Run it in CI (GitHub Action)

Further reading

Contributing

Security

License

Maintenance and verification