seosiri-aeo-geo-mcp v1.0.0: The Local-First MCP Server for AEO & GEO Compliance

⚙ Executive Strategy Summary

9 min read · Open Source · Model Context Protocol · AEO / GEO Engineering

✅ Verified live: PyPI release confirmed, ActiveState builds passing on Linux, macOS, and Windows, 0 CVEs.

seosiri-aeo-geo-mcp v1.0.0 is now live: a sovereign, local-first Model Context Protocol (MCP) server purpose-built for AI Engine Optimization (AEO), Generative Engine Optimization (GEO), /llm.txt auditing, and content stickiness analytics. This release note doubles as the developer setup guide, the enterprise business case, and the technical foundation behind two of our other recent pieces: the Traditional SEO vs. Modern Wave AEO/GEO guide and the Security Headers & GEO Ranking case study.

• 10 production-tested MCP tools covering AI-readiness scoring, /llm.txt and RFC 9116 security.txt compliance auditing, schema density validation, and AEO answer-card extraction.
• 100% local-first execution — no proprietary content, metrics, or schema data leaves your machine.
• Live on PyPI (pip install seosiri-aeo-geo-mcp) and independently packaged builds verified on Linux, macOS (Intel & Apple Silicon), and Windows.
• Zero reported CVEs at time of publication, with a SOC 2 Type II-attested distribution channel.

What Does seosiri-aeo-geo-mcp Do?

seosiri-aeo-geo-mcp is an MCP server that gives AI clients and agents — including Claude Desktop — direct tool access to audit whether a website is technically ready to be cited by generative search engines. It checks machine-readable compliance files (/llm.txt, security.txt), scores JSON-LD schema density, extracts AEO-ready direct-answer snippets, and calculates content stickiness from GA4-style engagement data — all without sending any of that data to a third-party server.

Why AEO/GEO Needed a Dedicated MCP Layer

As retrieval systems like Perplexity, SearchGPT, Google AI Overviews, and Claude shift search from keyword ranking to generative citation, the technical validation layer behind a site can no longer be a manual checklist. It has to be queryable by the same AI agents deciding whether to cite the site in the first place. That's the architectural gap this server closes, and it's the same shift we mapped out at the strategy level in our Traditional SEO vs. Modern Wave: AEO & GEO Mastery guide.

The Live Release: v1.0.0 Verified

This isn't a paper release. seosiri-aeo-geo-mcp v1.0.0 is confirmed live on PyPI, with independently packaged builds verified ready across Linux (Glibc 2.28), macOS 11+, and Windows 10 — each build showing zero critical, high, medium, low, or unrated CVEs at time of publication. The distribution channel itself carries SOC 2 Type II attestation, which matters for the same reason we cover in our security case study: generative engines increasingly score the trust profile of the infrastructure behind a tool, not just its feature list.

Verified Against the Live Repository

Every claim in this post was cross-checked directly against the public SEOSiri-Official/aeo-geo-mcp repository rather than restated from internal notes. The repo ships a src/ tool implementation directory, a tests/ suite, and — backing the edge-deployment claim above — an actual worker.js and wrangler.toml for Cloudflare Workers, not just a marketing mention. It's tagged under the topics aeo, ai-search, geo, llm-txt, mcp-server, model-context-protocol, perplexity, python, searchgpt, and security-txt.

The 10-Tool Inventory

Every tool below is production-tested and ships in v1.0.0:

1. audit_llm_txt_compliance — Audits presence and Markdown syntax validity of /llm.txt and /.well-known/llm.txt.
2. audit_security_txt_compliance — Verifies RFC 9116 /.well-known/security.txt headers, contact fields, and expiration dates.
3. calculate_geo_ai_readiness_score — Scores webpage AI-readiness (0–100) based on JSON-LD schema density and semantic HTML5 tags.
4. analyze_content_stickiness — Calculates a "Retention Gold" score comparing GA4 session duration against bounce rate.
5. extract_aeo_answer_cards — Extracts direct-answer snippets optimized for Perplexity, SearchGPT, and Google AI Overviews.
6. fetch_tranco_authority_rank — Queries domain trust rankings and authority metrics.
7. validate_schema_markup_density — Validates JSON-LD microdata density and flags missing fields for AI crawlers.
8. sanitize_geo_payload — Strips script injections, XSS tags, and unverified metadata from incoming payloads.
9. get_live_aeo_throughput_metrics — Monitors system health, memory utilization, and processing latency.
10. get_aeo_server_specifications — Returns protocol specs, capability matrices, and supported AI platforms.

Enterprise Advantages & Business Benefits

• 100% local-first, zero data leaks: all schema parsing, scoring, and analytics run locally in memory — proprietary content strategies and internal metrics are never transmitted to a third-party server.
• Enhanced generative search visibility: ensures pages contain extractable, well-structured answer blocks that AI engines prioritize for citations and direct-answer placements.
• Automated compliance verification: instantly checks conformance with emerging web standards — /llm.txt for AI crawlers and RFC 9116 security.txt for vulnerability disclosure.
• Cross-platform: runs natively across macOS (Intel & Apple Silicon M1–M4), Linux, and Windows CLI environments.
• Edge-gateway ready: deployable to Cloudflare Workers (aeo.seosiri.com) for sub-millisecond edge inspection.

Developer Setup & Integration

Method A: Install via PyPI

pip install seosiri-aeo-geo-mcp

Method B: Zero-Setup Execution via uv

Run the server directly from GitHub with no global dependency install. Add this block to your claude_desktop_config.json — on macOS: ~/Library/Application Support/Claude/claude_desktop_config.json; on Windows: %APPDATA%\Claude\claude_desktop_config.json.

{
  "mcpServers": {
    "seosiri-aeo-geo": {
      "command": "uv",
      "args": [
        "run",
        "--github",
        "SEOSiri-Official/aeo-geo-mcp",
        "src/main_server.py"
      ]
    }
  }
}

Method C: Local CLI Execution & Unit Testing

# 1. Clone the repository
git clone https://github.com/SEOSiri-Official/aeo-geo-mcp.git
cd aeo-geo-mcp

# 2. Install in editable mode
pip install -e .

# 3. Run the 10-part unit test suite
pytest tests/test_aeo_geo.py

Commercial B2B Offer: Custom MCP Server Engineering

The core tools are open-source, but SEOSiri also provides technical consulting, custom architecture design, and dedicated deployment for enterprise organizations, marketing agencies, and technology platforms:

• Custom enterprise MCP servers — bespoke MCP connectors for proprietary databases, internal APIs, and specialized business tools.
• AEO/GEO infrastructure auditing — a complete overhaul of your digital infrastructure for AI search visibility, schema density, and /llm.txt standards.
• Zero Trust security gateways — custom edge gateways (Cloudflare Workers / Vercel) with OAuth 2.1, rate-limiting, and HIPAA/GDPR PII scrubbing.

Get in touch for custom engineering: seosiri.com · Central MCP Directory · info@seosiri.com

FAQ: seosiri-aeo-geo-mcp

What is seosiri-aeo-geo-mcp used for?

It's an MCP server that lets AI clients audit a website's AEO/GEO readiness — checking /llm.txt and security.txt compliance, scoring schema density, extracting AI-ready answer snippets, and measuring content stickiness, all from a local, non-transmitting server.

Does seosiri-aeo-geo-mcp send my data to a third party?

No. All 10 tools run 100% local-first — schema parsing, scoring, and analytics execute in memory on your own machine or infrastructure, with nothing sent to an external server.

Which platforms does seosiri-aeo-geo-mcp support?

It runs natively on macOS (Intel and Apple Silicon M1 through M4), Linux, and Windows, and is also deployable to Cloudflare Workers for edge-level inspection.

Is seosiri-aeo-geo-mcp free to use?

Yes, the core 10-tool server is open-source under the MIT License. SEOSiri separately offers paid custom MCP engineering and infrastructure auditing for enterprise needs.

License & Attribution

• Lead Architect: Momenul Ahmad
• Organization: SEOSiri-Official
• License: MIT License

Related SEOSiri Strategy

• Traditional SEO vs. Modern Wave: AEO & GEO Mastery
• Security Headers & Technical Correctness: A GEO Case Study
• SEOSiri Centralized MCP Directory

Get a Custom AEO/GEO MCP Build

If you need a bespoke MCP connector for internal tools, or a full AEO/GEO infrastructure audit, talk to SEOSiri about enterprise MCP engineering.

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