AI SEO Magic Button

Point it at your site, get a whole-site AEO/GEO audit plus a ready-to-run plan your agent can execute. One magic button for AI-SEO - runs as a Claude skill, a Claude plugin, and an MCP server, so it works in any MCP host (Cursor, Cline, Windsurf, Claude Desktop).

It produces an actionable plan, not direct edits: a portable plan.json plus a markdown checklist, where every item is self-contained and agent-executable. You then run your agent against the plan to execute it.

Under the hood it is a thin orchestration layer over two engines: @automatelab/ai-seo-mcp (audit + score + rewrite) and @automatelab/citation-intelligence (what AI engines cite). No API keys are needed for the core audit→plan flow.

The two-step flow

1. Run it → it crawls your site, audits every page, and generates plan.json + a markdown checklist, prioritized by estimated score lift.
2. Run your agent against the generated plan to execute it (rewrites, schema, llms.txt, robots) - then verify the score actually lifted.

Install

As an MCP server (any host)

// e.g. claude_desktop_config.json / Cursor / Cline
{
  "mcpServers": {
    "ai-seo-magic-button": {
      "command": "npx",
      "args": ["-y", "ai-seo-magic-button", "mcp"]
    }
  }
}

Exposes one tool: generate_seo_plan { domain, pages? } → returns the full plan.json (as structured content) plus the markdown checklist.

As a Claude Code plugin

/plugin install AutomateLab-tech/ai-seo-magic-button

As a Claude skill

Copy skill/ into your .claude/skills/ (or install via the plugin above). The skill is the conversational magic-button UX - see skill/SKILL.md.

CLI

npm install && npm run build

# audit -> plan.json + plan.md
node dist/cli.js audit example.com --pages 10

# execute the plan's tool-driven items (writes to ./magic-button-out)
node dist/cli.js apply plan.json

# re-audit and diff the score (proof the plan worked)
node dist/cli.js verify plan.json

# optional: push items into an agency-os Notion board (else local checklist)
node dist/cli.js sink plan.json

The child engines resolve via npx by default. To use local builds:

export AISEO_MCP_PATH=/abs/path/ai-seo-mcp/dist/index.js
export CITATION_MCP_PATH=/abs/path/citation-intelligence-mcp/dist/index.js

Worked example

$ node dist/cli.js audit example.com --pages 2

https://example.com
  pages audited: 1 · avg score: 48 (D)
  fixes: 8 · est. lift: +78 points
   1. [critical] +12 No JSON-LD structured data found on this page.
   2. [critical] +12 No FAQ structure found (no FAQPage schema or H3 question headings).
   3. [critical] +12 No sitemap found at standard locations.
   6. [high]     +10 Rewrite for AEO: this page
   7. [medium]   +4  Low authority signals - missing Organization/author schema.
   8. [medium]   +4  No canonical link element found.

A full sample plan.json is in examples/plan.example.json. Each item carries a self-contained action (the tool + baked params) and an acceptance check - see docs/plan-format.md.

How it is built

One shared core lib, four thin surfaces. See docs/scope.md for positioning and docs/plan-format.md for the schema + core-lib boundary.

src/core/   audit + plan + apply + verify + sink  (the only place with logic)
src/cli.ts        CLI surface
src/mcp-server.ts MCP server surface (generate_seo_plan)
skill/            Claude skill surface
plugin/           Claude plugin surface

License

MIT