AEO Audit
Test Your Agent Experience Optimization
An AEO audit measures how well your website performs for AI agents — not just human visitors. If you have been searching for "AEO audit," you are looking for what the industry now calls an AX Audit. Same concept, sharper framework.
What is an AEO Audit?
An AEO (Agent Experience Optimization) audit evaluates your website from the perspective of an AI agent. Instead of asking "Will a human find this page via Google?" it asks "Can ChatGPT, Claude, or Perplexity understandthis site well enough to take action on behalf of a user?"
The audit checks whether your content is machine-readable, your APIs are discoverable, your structured data is accurate, and your site can actually be used by an autonomous agent to complete real tasks like comparing pricing, starting a trial, or booking a demo.
Traditional website audits focus on page speed, mobile responsiveness, and keyword density. An AEO audit looks at an entirely different layer: whether your site publishes llms.txt, exposes MCP server cards, serves clean Markdown, and returns structured data that agents can parse without hallucinating.
AEO vs AX: Same Mission, Different Labels
The terms AEO and AX (Agent Experience) are used interchangeably in the industry. "AEO" emphasizes the optimization process — the work you do to make your site agent-friendly. "AX" emphasizes the experience — what agents encounter when they interact with your site.
At AINative Studio, we use AX as the umbrella term and AX Auditas the evaluation tool. The reasoning: "experience" is broader than "optimization." AX encompasses how agents perceive your brand, navigate your content, and complete tasks — not just the technical checklist.
Regardless of terminology, the goal is identical: make your website work for the growing population of AI agents that will interact with it on behalf of human users. Whether you call it AEO or AX, the audit methodology is the same.
What an AEO Audit Measures
Our AX Audit scores your site across 6 weighted dimensions. Here is what each one evaluates and why it matters for agent readiness.
Discoverability (20%)
Can agents find your site? This dimension checks for robots.txt AI bot permissions, llms.txt presence, sitemap.xml, AGENTS.md, agent.json, and MCP server card discovery. Without these signals, agents do not know your site exists.
Parsability (20%)
Can agents read your content? Tests whether your pages render server-side (so agents see real content, not empty JavaScript shells), offer Markdown routes, and support content negotiation for text/markdown requests.
Semantic Structure (15%)
Do agents understand your content? Evaluates JSON-LD structured data, heading hierarchy, Schema.org type coverage, and detects anti-patterns like duplicate schema or missing required fields.
API Surface (15%)
Can agents interact with your product? Checks for OpenAPI specifications, ai-plugin.json manifests, MCP server discovery endpoints, and A2A (Agent-to-Agent) protocol cards.
Token Efficiency (10%)
Are you wasting agent token budgets? Measures the ratio of useful content to boilerplate HTML, total page token counts, and whether you offer condensed formats like llms-full.txt.
Agent Task Completion (20%)
Can agents actually accomplish goals? An LLM runs simulated tasks — finding pricing, starting a trial, locating documentation — and we measure whether it can complete them autonomously.
Why Run an AEO Audit Now?
AI agent traffic is growing exponentially. In Q1 2026, GPTBot and ClaudeBot together account for more traffic than Bingbot on many SaaS websites. Perplexity cites sources in its answers — if your site is not parsable, you do not get cited.
The window for competitive advantage is now. Most websites score below 30/100 on their first AX audit. The few that score above 70 are capturing outsized agent referral traffic. Early movers in AEO are building the same kind of compounding advantage that early SEO adopters built a decade ago.
An AEO audit gives you a concrete score, a prioritized list of fixes, and a baseline to measure improvement against. It takes two minutes to run and produces actionable recommendations — not vague advice.
How the AX Audit Works
Enter your URL and the audit engine crawls your site the way an AI agent would. It checks discovery files (robots.txt, llms.txt, sitemap.xml), tests content rendering without JavaScript, parses your structured data, probes for API endpoints, measures token efficiency, and runs a live LLM simulation.
You receive a score from 0 to 100 with a breakdown by dimension, specific findings for each check, and prioritized recommendations. The report is shareable and you can re-run it after making changes to track your progress.
Enter your URL
Engine crawls like an agent
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Run Your Free AX Audit
Whether you call it an AEO audit or an AX audit, the result is the same: a clear score and a concrete plan to make your site agent-ready. It takes less than two minutes.
Run Your Free AX AuditNo signup required. Results in under 60 seconds.