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. Orchestrates the ai-seo and citation-intelligence MCPs. Ships as a Claude skill, Claude plugin, and MCP server. No API keys required.
README
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
- Run it → it crawls your site, audits every page, and generates
plan.json+ a markdown checklist, prioritized by estimated score lift. - 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
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