diff --git a/README.md b/README.md
index 07480fe..519e482 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@
   <a href="#agent-sdks">SDKs</a>&ensp;&middot;&ensp;
   <a href="#n8n-community-node">n8n Node</a>&ensp;&middot;&ensp;
   <a href="#cicd-integration">CI/CD</a>&ensp;&middot;&ensp;
-  <a href="#comparison">Compare</a>&ensp;&middot;&ensp;
+  <a href="docs/comparison.md">Compare</a>&ensp;&middot;&ensp;
   <a href="#architecture">Docs</a>
 </div>
 
@@ -306,6 +306,7 @@ That's it. The node fetches all workflows, scans them, and serves an interactive
 - Optional password protection (AES-256-GCM encrypted, client-side decryption)
 
 ---
+> Looking for AI-BOM ecosystem comparisons? See [AI-BOM Tool Comparison](docs/comparison.md).
 
 ## Comparison
 
diff --git a/docs/comparison.md b/docs/comparison.md
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+++ b/docs/comparison.md
@@ -0,0 +1,51 @@
+# AI-BOM Tool Comparison
+
+This document compares **ai-bom** with other AI Bill of Materials tools currently available in the ecosystem.
+
+The goal is to help users understand feature differences and choose the right tool for their workflow.
+
+---
+
+## Feature Comparison
+
+| Feature | ai-bom | Cisco AIBOM | Snyk AIBOM |
+|--------|--------|-------------|-----------|
+| License | Apache 2.0 | Apache 2.0 | Proprietary |
+| Open Source | Yes | Yes | No |
+| Scanners | 13+ (code, cloud, Docker, GitHub Actions, Jupyter, MCP, n8n, etc.) | 1 (Python-focused) | Unknown |
+| Output Formats | 9 (Table, JSON, SARIF, SPDX, CycloneDX, CSV, HTML, Markdown, JUnit) | JSON, CSV | Unknown |
+| CI/CD Integration | GitHub Action, GitLab CI | No | Yes |
+| LLM Enrichment | No | Yes | Early access / limited preview |
+| n8n Scanning | Yes | No | No |
+| MCP / A2A Detection | Yes | No | No |
+| Agent Framework Detection | LangChain, CrewAI, AutoGen, LlamaIndex, Semantic Kernel | Limited | Unknown |
+| Binary Model Detection | Yes (.onnx, .pt, .safetensors, etc.) | No | Unknown |
+| Policy Enforcement | Cedar policy gate | No | Yes |
+| Best For | Multi-framework projects needing multiple formats | Python projects needing LLM enrichment | Existing Snyk customers |
+
+---
+
+## Notes
+
+### ai-bom
+
+- Open-source AI Bill of Materials scanner focused on discovering AI/LLM usage across codebases and infrastructure.
+- Supports multiple scanners, formats, and compliance mappings (OWASP Agentic Top 10, EU AI Act).
+- Designed for developer workflows with CLI, CI/CD, and dashboard support.
+
+### Cisco AIBOM
+
+- Open-source tool focused primarily on Python projects.
+- Uses LLM-based enrichment to extract model usage.
+- Limited scanner coverage and output formats compared to ai-bom.
+
+### Snyk AIBOM
+
+- Proprietary feature integrated into the Snyk platform.
+- Currently in early access / limited preview.
+- Provides CI/CD integration.
+- Public documentation on supported scanners and formats is limited.
+
+---
+
+_Last updated: 2026_
\ No newline at end of file