AI Agent Optimisation — prepare your business for autonomous agents.
Autonomous software agents are beginning to research vendors, book meetings, and compare proposals on behalf of enterprise buyers. AAO ensures your website exposes machine-readable endpoints that agents can parse and act upon without human assistance.
What is AI Agent Optimisation?
AI Agent Optimisation (AAO) is the technical discipline of configuring your web infrastructure so autonomous AI agents — from personal assistant bots to automated enterprise procurement workflows — can ingest your offerings and take action seamlessly.
Traditional websites are designed exclusively for human eyes and browsers. When an autonomous agent attempts to parse a heavy JavaScript Single Page App with buried contact forms, it often fails and abandons the interaction.
AAO bridges this gap by exposing structured endpoints (/llms.txt, /api/mcp) that provide instant, unambiguous clarity.
How Infinitus approaches AAO
llms.txt & structured text manifests
We implement clean, standardized /llms.txt and /llms-full.txt files that document your services, pricing structures, and contact endpoints for automated agent consumption.
Model Context Protocol integration
We create lightweight WebMCP endpoints so AI agents can query your service availability, catalog parameters, and intake specifications programmatically.
Machine-actionable forms & APIs
We structure lead forms, enquiry fields, and booking funnels with standard JSON schemas and Semantic HTML tags that automated browser agents can fill out with 100% field accuracy.
AI crawler access governance
We configure robots.txt and HTTP headers to allow legitimate autonomous agents while protecting against aggressive unauthorized scraping.
Agent readiness audit inside DIP
We score and track your site's agent comprehension score inside our Discovery Intelligence Platform — verifying that AI agents can parse and understand your full service suite without errors.
Is AAO right for your business?
AAO is high-leverage for B2B companies, SaaS providers, professional service firms, and logistics operators whose customers are adopting autonomous workflows for vendor research.
Early adopters gain a structural first-mover advantage as autonomous agent platforms grow from exploratory tools into enterprise procurement standards.
Deliverables
- Agent-readiness infrastructure audit
- Clean
/llms.txtand/llms-full.txtimplementation - WebMCP discovery manifest & API routes
- Robots.txt AI crawler policy optimization
- Agent Comprehension Score benchmark in DIP
- Ongoing agent-access monitoring & log analytics
Frequently Asked Questions
What is AI Agent Optimisation (AAO)?
AAO is the practice of structuring your business's digital presence so that autonomous AI agents can discover, evaluate, and interact with your services without friction.
What is llms.txt?
llms.txt is an emerging community standard that serves as a plain-text directory of your website for AI agents and LLM crawlers — allowing them to ingest your core business facts without executing complex JavaScript.
What is WebMCP?
WebMCP is an emerging protocol that allows websites to expose structured capabilities, forms, and data directly to AI agents using standard Model Context Protocol patterns.
Is AAO relevant now, or is it too early?
Structuring technical foundations early allows businesses to be ready as autonomous agent workflows and machine-driven research tools become more widespread. Establishing llms.txt, schema, and discovery endpoints early avoids technical debt as agent protocols mature.
How does AAO differ from AEO and GEO?
AEO targets search engine answer surfaces (featured snippets, AI Overviews). GEO targets LLM training data and citation (ChatGPT, Perplexity). AAO targets autonomous AI agents that act on users' behalf — a distinct and newer category. All three work together in the Infinitus framework.
Is your website ready for AI agents?
Audit your agent readiness, llms.txt structure, and machine readability with our assessment or automated checklist.