aeo-graph-engine
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@aeo-graph-enginecrawl https://example.com and audit AEO readiness with schema generation"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AEO Graph Engine (aeo-graph-engine)
Autonomous Answer Engine Optimization (AEO/GEO), Live Site Crawler, Schema.org Linked Data @graph, llms.txt & AEO Studio UI Workbench
🌐 Overview
Traditional SEO was engineered for classic 10-blue-link search result pages. Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) optimize your website for direct conversational retrieval and factual synthesis by ChatGPT Search, Perplexity AI, Claude, Google AI Overviews, Apple Intelligence, and Grok.
aeo-graph-engine is a zero-runtime-dependency Python engine, live multi-page crawler, CLI, and Interactive Web Workbench (design influenced by Material 3) extracted and modularized from the Zoth Studio architecture. It audits live URLs, generates interconnected Schema.org @graph JSON-LD, compiles standard llms.txt manifests, and optimizes AI bot directives.
┌──────────────────────────────────────────────────────────┐
│ YOUR APPLICATION / SITE │
└────────────────────────────┬─────────────────────────────┘
│
aeo scan https://mysite.com
│
┌──────────────────────────────┼───────────────────────────────┐
▼ ▼ ▼
┌─────────────────────────┐ ┌───────────────────────────┐ ┌──────────────────────────┐
│ schema-graph.json │ │ llms.txt & llms-full │ │ ai.txt & robots.txt │
│ • Organization │ │ • llmstxt.org compliant │ │ • Bot Access Policies │
│ • WebSite SearchAction │ │ • Summary blockquotes │ │ • GPTBot / Perplexity │
│ • SoftwareApp / Service │ │ • Deep research ontology │ │ • ClaudeBot / Applebot │
│ • FAQPage (Q&A citations)│ │ • Direct markdown links │ │ • Google-Extended rules │
└─────────────────────────┘ └───────────────────────────┘ └──────────────────────────┘Related MCP server: crawlie-mcp
🎨 AEO Studio Workbench (Design Influenced by Material 3)
aeo-graph-engine includes a built-in interactive Light Mode Web UI (AEO Studio) with design influenced by Material 3: clean #f8f9fa canvas, elevation cards, live entity graph previews, and a real-time 0–100 AEO readiness meter.
Launch the Local Studio:
# Launch interactive local studio (runs on http://127.0.0.1:8080 or specified port)
aeo serve --port 8080
# Or open public/index.html directly in any browser (100% offline static app)
open public/index.htmlStudio Workbench Capabilities:
🌐 Live Website Scanner & Multi-Page Crawler: Enter any live URL (or localhost) to audit real sitemaps, robots.txt, subpages, and calculate live AEO scores.
⚡ AI Keys & Local Ports Gateway: Configure API keys for OpenAI, Claude, Groq, Perplexity or connect free local models (Ollama, LM Studio, vLLM) on custom ports.
🪄 AI Prompt Synthesizer: Type a 1-sentence prompt (e.g. "DeFi lending on Solana called SolarYield") to auto-generate full Schema,
llms.txt, and metadata.🤖 AI Agent & MCP Hub: Direct copy-paste configs for Claude Desktop, Cursor, Cline, Zed, and agent system prompt templates.
📦 Framework Exporter: One-click production code for Next.js App Router, Astro, Vite + React, SvelteKit, Remix, Nuxt, and Hugo/Jekyll.
📊 Real-time 0–100 AEO Readiness Meter: Real weighted scores across 5 core dimensions (Schema, llms.txt, AI bots, content, technical SEO).
🕸️ Visual Entity Graph & Schema Preview: Live syntax-highlighted
@graphJSON-LD generator with canonical@idlinking.📄
llms.txt&llms-full.txtCompiler: llmstxt.org-compliant machine index with structured markdown links.🤖 AI Bot Access Matrix: Live compatibility breakdown for GPTBot, PerplexityBot, ClaudeBot, Applebot, and Google-Extended.
💉 Live HTML Schema Injector: Paste raw HTML to test idempotent script embedding.
🏛️ AEO Backlink & Citation Playbook: Actionable high-authority citation targets and niche distribution strategy.
📥 One-Click
.zipExport: Download all generated files in a single clean archive.
⚡ AI Agent API Keys & Local Endpoints / Port Gateway
AEO Studio includes a built-in AI Provider & Custom Port Management Gateway accessible directly from the UI or via REST API:
🔑 Cloud AI Provider API Keys:
OpenAI (
OPENAI_API_KEY): GPT-4o, GPT-4o-mini, o1, o3-miniAnthropic (
ANTHROPIC_API_KEY): Claude 3.7 Sonnet, Claude 3.5 Sonnet, Claude 3.5 HaikuPerplexity AI (
PERPLEXITY_API_KEY): Sonar Pro, Sonar ReasoningGroq (
GROQ_API_KEY): Llama-3.3 70B, DeepSeek R1 Distill (ultra low-latency)OpenRouter (
OPENROUTER_API_KEY): Access 200+ frontier models with one keyDeepSeek (
DEEPSEEK_API_KEY): DeepSeek V3 & R1
🔌 Local LLM Endpoints & Ports (100% Free & Private):
Ollama: Default
http://127.0.0.1:11434(Port 11434)LM Studio: Default
http://127.0.0.1:1234/v1(Port 1234)vLLM / llama.cpp: Default
http://127.0.0.1:8000/v1(Port 8000)Hermes Agent / Zoth Memory Daemon: Default
http://127.0.0.1:8788/v1(Port 8788)AEO MCP Gateway Port: Port 8091
⚡ Live Endpoint Latency & Connection Tester: Ping any endpoint with 1 click to verify available models and response times.
🔮 Live Answer Engine Perception Simulator: Query simulated ChatGPT Search & Perplexity engines to verify how AI answer engines perceive and cite your domain.
🤖 Model Context Protocol (MCP) Server & AI Agent Hub
aeo-graph-engine exposes a zero-dependency JSON-RPC 2.0 Model Context Protocol (MCP) server over stdio. Connect any AI coding agent (Claude Desktop, Cursor, Cline, Zed, Hermes, OpenCode, AutoGen, CrewAI) so they can autonomously crawl URLs, generate Schema @graphs, and optimize your codebase.
👉 Full MCP Setup Guide & Documentation: docs/MCP_GUIDE.md
👉 Agent Workflow & Autonomous Optimization: docs/AI_AGENT_INTEGRATION.md
Connect with Claude Desktop / Cursor in 30 Seconds:
Run the config generator to get your exact configuration block:
aeo mcp --config claude_desktop
# or
aeo mcp --config cursorAdd to Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"aeo-graph-engine": {
"command": "python3",
"args": ["-m", "aeo_graph_engine.mcp_server"]
}
}
}6 Native MCP Tools Available to AI Agents:
aeo_scan_site: Live URL crawler, multi-page audit, 0-100 AEO score, bot permissions.aeo_synthesize_prompt: Turn natural language descriptions into complete structured AEO configs.aeo_generate_bundle: Generateschema-graph.json,llms.txt,ai.txt, androbots.txt.aeo_inject_html: Embed Schema.org JSON-LD directly into HTML files.aeo_validate: Diagnostic audit and 0-100 readiness verification.aeo_get_framework_snippets: Retrieve tailored code for Next.js, Astro, Vite, SvelteKit, etc.
📦 Framework Code Exporters & Auto-Remediation
Generate framework-native TypeScript/JavaScript code for all major stacks:
# Export Next.js App Router integration code
aeo framework nextjs_app --output-dir ./my-next-app
# Or auto-generate concrete code fixes from a live website scan
aeo fix https://mysite.com --framework astro --output-dir ./src/Supported frameworks:
Next.js (App Router):
app/layout.tsx(with<script type="application/ld+json">),app/robots.ts,app/sitemap.ts,app/llms.txt/route.tsNext.js (Pages Router):
pages/_document.tsxAstro:
src/components/AeoHead.astroandastro.config.mjsVite + React / SPA:
index.htmlinjection andvite-plugin-aeo.tsSvelteKit:
src/routes/+layout.svelteandsrc/routes/robots.txt/+server.tsRemix:
app/root.tsxmeta exportNuxt 3:
nuxt.config.tsandapp.vueuseHead()Static HTML / Hugo / Jekyll: Clean HTML partials
🚀 Quick Start
1. Installation
# Clone the repository
git clone https://github.com/1nc0gn30/aeo-graph-engine.git
cd aeo-graph-engine
# Editable pip install (zero external runtime dependencies!)
pip install -e .2. Live Crawl & Audit Any Website
# Crawl live site up to 5 internal pages and compute real AEO scores
aeo scan https://example.com --max-pages 5Output:
================================================================================
AEO GRAPH ENGINE — LIVE WEBSITE AUDIT & AI READINESS REPORT
================================================================================
Target URL: https://example.com
Base Origin: https://example.com
Overall Score: 78.5 / 100 [GOOD]
Pages Audited: 5
CATEGORY SCORE BREAKDOWN:
• Schema Linked Data: 18.0 / 25.0 pts (72%)
• Llms Txt Machine Index: 0.0 / 25.0 pts (0%)
• Ai Crawler Governance: 20.0 / 20.0 pts (100%)
• Semantic Content: 14.0 / 15.0 pts (93%)
• Technical Seo: 15.0 / 15.0 pts (100%)
ROOT ASSET DISCOVERY:
[✔ FOUND] robots.txt (HTTP 200)
[✖ MISSING] llms.txt (HTTP 404)
[✖ MISSING] llms-full.txt (HTTP 404)
[✔ FOUND] sitemap.xml (HTTP 200)
AI SEARCH ENGINE BOT ACCESS:
• OpenAI / ChatGPT (GPTBot): Allowed [✔ FAQ Schema]
• Perplexity AI (PerplexityBot): Allowed [✔ Connected @graph]
• Anthropic Claude (ClaudeBot): Allowed
• Apple Intelligence (Applebot-Extended): Allowed [✔ Software Schema]
• Google AI Overviews (Google-Extended): Allowed [✔ Linked Data]
ACTIONABLE OPTIMIZATION PRIORITIES:
[HIGH] Missing llms.txt standard manifest
-> Fix: Generate and place a standardized llms.txt at root (llmstxt.org spec) to allow ChatGPT & Perplexity to ingest docs in <50 tokens.3. Synthesize from Natural Language Prompt
# Auto-configure and write AEO bundle from a natural language prompt
aeo prompt "An AI resume builder called CVForge on cvforge.app" --output-dir dist/4. Inject Schema into HTML
# Idempotently embed or update Schema.org JSON-LD in your index.html
aeo --inject dist/index.html --niche saas5. Audit Local Directory
# Audit built directory or single file with full diagnostics
aeo --validate dist/ --format json💡 Why AEO / GEO Matters in 2026
Dimension | Classic SEO | Modern AEO / GEO |
Primary Audience | Web search crawlers (Googlebot, Bingbot) | LLM Answer Engines (ChatGPT, Perplexity, Claude, Applebot) |
Output Form | 10 blue links on SERP | Synthesized conversational answers with grounding citations |
Key Metadata | Meta keywords, basic title tags | Connected Schema.org |
Crawler Policy | Blanket allow / disallow | Explicit per-model crawler permissions in |
Knowledge Depth | Shallow keyword density | Deep structured research manifests ( |
🛠️ CLI Reference
usage: aeo [-h] [--generate-all] [--output-dir OUTPUT_DIR]
[--niche {developer_tools,ai_swarm,saas,cybersecurity,spatial_3d,creator,ecommerce,local_business}]
[--config CONFIG] [--site-name SITE_NAME] [--domain DOMAIN] [--version VERSION]
[--format {text,json,github}] [--jsonld] [--llms] [--llms-full] [--ai-txt] [--robots]
[--inject INJECT] [--validate VALIDATE] [--platform] [--test] [--dry-run]
{init,wizard,scan,bot-audit,compare,report,check,framework,fix,mcp,prompt,serve,ui,extract,platform} ...Commands & Subcommands
Command / Subcommand | Description |
| Interactive & Scriptable Setup Wizard: auto-detects frontend framework, profiles repo, generates bundle & framework code |
| Live Multi-Page Crawler: audits sitemaps, robots.txt, schema, word counts, and scores site across 5 AEO dimensions |
| AI Bot WAF Inspector: probes target with authentic User-Agents for 10 AI crawlers to detect Cloudflare/AWS WAF blocks |
| Head-to-Head Competitor Benchmark: compares two sites side-by-side on AEO scores, entity depth, and citation advantages |
| Audit Report Exporter: generates professional GitHub Markdown ( |
| CI/CD Quality Gate: enforces minimum AEO score on PRs and builds with GitHub Action annotations |
| Export typed integration code for Next.js (App/Pages), Astro, Vite, SvelteKit, Remix, Nuxt, Hugo/Jekyll |
| Automatically generate concrete code fixes and remediation plan for missing AEO assets |
| Start stdio Model Context Protocol (MCP) server or generate JSON config for Claude/Cursor/Cline/Zed |
| Synthesize full AEO configuration and linked data from a natural language description |
| Start interactive AEO Studio UI Workbench (design influenced by Material 3) |
| Inspect multi-platform environment details (Linux, Termux Android, macOS, Windows) |
| Extract metadata from an existing HTML file into JSON |
| Generate complete AEO bundle ( |
| Audit bundle or schema and compute 0–100 AEO Readiness Score |
| Inject or update Schema.org JSON-LD in target HTML document |
| Run built-in unit test suite (208 tests) with zero-drift verification |
🐍 Python Library API
Import aeo_graph_engine directly into your Python backend, static site generator, or CI script:
from aeo_graph_engine import (
LiveAEOScanner,
synthesize_config_from_prompt,
generate_schema_graph,
generate_llms_txt,
generate_robots_txt,
write_aeo_bundle,
validate_aeo_bundle
)
# 1. Live crawl and audit any URL
scanner = LiveAEOScanner("https://example.com", max_pages=5)
audit = scanner.compute_audit_scores()
print(f"AEO Score: {audit['overall_aeo_score']}/100")
print(f"Action Items: {len(audit['action_items'])}")
# 2. Synthesize config from natural language
config = synthesize_config_from_prompt("DeFi protocol on Solana called SolarYield")
# 3. Generate Schema.org JSON-LD Graph dictionary
graph = generate_schema_graph(config, niche="saas")
# 4. Write complete bundle and inject into built HTML files
artifacts = write_aeo_bundle(
output_dir="./dist",
config=config,
niche="saas",
inject_html_files=["./dist/index.html"]
)
# 5. Validate AEO Readiness Score (0-100)
report = validate_aeo_bundle("./dist")
print(f"Readiness Score: {report.score}/100 - Status: {report.to_dict()['status']}")🤖 AI Crawler Compatibility & Backlink Intelligence
How AI Search Engines Ingest Your Content:
OpenAI / ChatGPT Search: Combines Bing index with direct queries to
llms.txt,robots.txt, andFAQPageJSON-LD schemas.Perplexity AI: Discovers URLs via sitemaps, indexes full-text deep research pages (
llms-full.txt), and cross-references Wikidata and GitHub entities.Anthropic Claude: Extracts knowledge from clean structured markdown representations without visual layout boilerplate, respecting
ai.txtattribution policies.Google Gemini & AI Overviews: Leverages Knowledge Graph nodes, requiring connected Schema.org
@graphlinkingOrganizationtoWebSitetoSoftwareApplication.
High-Authority Knowledge Graph Anchors:
llmstxt.org Directory & Awesome-LLMS-Txt: Direct crawler registry for AI documentation indexing.
Wikidata & Wikipedia Entity Linking: Primary disambiguation anchor for Google AI Overviews and ChatGPT.
GitHub Official Organization & Clean README: Heavily weighted by Claude, Cursor, and Perplexity for technical domain authority.
Hugging Face Hub Cards: Indexed continuously by frontier AI web scrapers.
🧩 Built-in Domain Presets
aeo-graph-engine comes with 8 production-tested niche presets:
Niche Preset | Primary Entity | Target Use Case |
|
| CLI tools, libraries, developer SDKs, compilers |
|
| Multi-agent platforms, autonomous swarms, LLM routers |
|
| Cloud platforms, edge compute, B2B enterprise software |
|
| Zero-trust suites, OSINT scanners, cryptography tools |
|
| WebGL, Three.js, spatial computing, computer vision |
|
| Digital products, blueprints, creator studios |
|
| D2C storefronts, digital goods, retail catalogs |
|
| Contracting, healthcare, professional services |
⚙️ CI / Post-Build Automation
Add an automated AEO step to your build pipeline (Vite, Next.js, Astro, Nuxt, Netlify, GitHub Actions):
package.json Build Hook:
{
"scripts": {
"build": "vite build && aeo --generate-all --output-dir dist/ --inject dist/index.html && aeo --validate dist/"
}
}GitHub Actions Workflow (.github/workflows/ci.yml):
name: CI & AEO Audit
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Run Tests
run: |
pip install -e ".[dev]"
pytest tests/ -v
python3 -m aeo_graph_engine.cli --test📂 Real-World Reference Examples
Explore production-ready starter implementations in the examples/ directory:
⚛️
examples/nextjs-app-router/: Complete Next.js 14/15 App Router project withlayout.tsxSchema.org injection, dynamicapp/robots.ts,app/sitemap.ts, andapp/llms.txt/route.ts.🚀
examples/astro-site/: Astro 4/5 integration with reusable<AeoHead />component, robots.txt, and llms.txt.⚡
examples/vite-react-spa/: Vite React single-page app with customvite-plugin-aeothat automatically emits machine manifests duringvite build.☁️
examples/saas-landing/: Production B2B SaaS configuration preset for multi-agent cloud orchestration.🤖
examples/mcp-clients/: Pre-built MCP integration configs for Claude Desktop, Cursor IDE, Cline, and Zed editor.
See the complete guide in examples/README.md.
🚦 CI/CD Quality Gate & GitHub Actions
Enforce minimum AEO Readiness scores on pull requests and deployments to prevent SEO/AEO regressions:
# Check local bundle or live URL (fails with exit code 1 if score < 85 or llms.txt missing)
aeo check . --min-score 85 --fail-on-missing-llms
# Output GitHub Actions formatted annotations (::error::, ::warning::)
aeo check https://mysite.com --format githubAdd to .github/workflows/aeo-audit.yml:
name: AEO Quality Gate
on: [push, pull_request]
jobs:
audit:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install & Audit AEO
run: |
pip install -e .
python3 -m aeo_graph_engine.cli check . --min-score 80 --fail-on-missing-llms --format github🧪 Testing & Multi-Platform Verification
Run the full automated test suite:
# Run 168 unit tests across engine, crawler, WAF probe, benchmark, reporter, wizard, MCP server, framework exporter, and compat
pytest tests/ -v
# Or run the built-in zero-drift engine test
aeo --test
# Verify your current platform compatibility & environment info
aeo platform🚀 Automated Release Pipeline
Every push to the main branch or tag creation (v*) triggers the automated release pipeline in .github/workflows/release.yml:
Runs full test matrix verification across Linux, macOS, and Windows across Python 3.9–3.13.
Builds distribution wheel (
.whl) and source archive (.tar.gz).Computes cryptographic SHA-256 checksums (
dist/SHA256SUMS.txt).Generates changelog and creates a published GitHub Release with attached assets.
📄 License
Licensed under the MIT License. Extracted and modularized from the Zoth Studio open architecture.
This server cannot be deployed
Maintenance
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