Agent Engine Optimization (AEO): The Successor to SEO
Why optimizing your SaaS or API for LLMs and autonomous agents using machine-readable manifests is the next frontier of web growth.
The Shift from Human Search to Agentic Discovery
For three decades, businesses optimized their web presence for human eyes scrolling through search results. However, we are entering the era of the Agentic Web. Autonomous software systems (such as Claude Code, GitHub Copilot's Agent Finder, and enterprise multi-agent loops) are navigating the web on behalf of humans. Instead of clicking links, they parse APIs.
What is Agent Engine Optimization (AEO)?
AEO is the practice of structuring your digital services, schemas, and catalogs to make them easily discoverable, indexable, and executable by AI agents. Traditional SEO relies on keyword density, backlinks, and visual layout. AEO relies on schema correctness, clear parameter descriptions, verifiable did:web certificates, and structured metadata like ai-catalog.json and llms.txt.
Why Registries are the Gatekeepers of AEO
Unlike humans, an AI agent cannot click through Google pages. It uses semantic directory APIs to answer questions like: "I need a tool that can convert a PDF invoice to a structured ledger. Which service is authorized and verified?". Registries like ARD Registry and GitHub's curated public index crawl the open web to supply these answers, matching user intent to your indexed capabilities.
Constructing an Agent-Friendly Manifest
To maximize your AEO index score, include rich, descriptive keywords in your catalog manifest's representativeQueries array. These queries serve as vector inputs that map user searches directly to your tools.