AX complements search and answer visibility by examining the experience an agent has with your content and interactions.
| Approach | Meaning | Main question |
|---|---|---|
| SEO | Search engine optimisation | Can the right pages be discovered, crawled, indexed and shown in relevant search results? |
| AEO | Answer engine optimisation | Can the content support a clear and useful answer to a user’s question? |
| GEO | Generative engine optimisation | How is the content represented or referenced in generated responses? |
| AX | Agent Experience | Can an AI agent access, understand and use the content to help someone complete a task? |
Use the terms with their context
SEO is an established practice around search discovery and performance. AEO and GEO are commonly used labels for work around answers and generative systems; their boundaries vary between teams. They are not four exclusive technical standards or four guaranteed routes to visibility.
Agent Experience shifts attention to the agent’s actual path through a product or website. That includes the content it receives, the context it can interpret, and, where the product supports actions, the permissions and interfaces needed to act. On an information website, readable and trustworthy public content may be the main requirement.
The foundations often overlap
Useful public content, sensible links, semantic HTML and accurate metadata support more than one goal. If a public page returns an error or hides its essential answer in an unavailable rendering path, fixing that problem can improve several experiences at once.
That overlap does not make the practices interchangeable. A page can appear in a search result while an agent struggles to extract a particular condition from a comparison table. Conversely, a page may be easy to retrieve and understand without being selected or cited by an answer system.
Ask a different test question
For visibility, you might ask whether the intended page is discoverable and represented for relevant searches. For AX, ask what happens when the agent follows that page and attempts the user’s task. Can it retrieve the answer? Are facts tied to the right product, date or source? Does an action require a person’s approval?
A structured-data file or a high readiness score cannot guarantee that a model will select your content. Keep claims about access and interpretation separate from claims about rankings, recommendations or citations. Check the real user journey rather than assuming one metric represents all of it.
Use AX alongside your existing work
Keep the search, content, accessibility and engineering teams involved. Reuse evidence where the problem is shared, and state which outcome each change is intended to improve. A content delivery fix should be verified as a delivery fix, even if it also has benefits for search.
Tityra’s AX Audit provides findings and practical recommendations within an agreed website sample. It does not replace an SEO strategy, a complete accessibility evaluation or a security assessment. It helps identify barriers between the information you publish and the agents trying to use it.
Sources and further reading
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