Agent Experience Optimisation vs Answer Engine Optimisation: Two Different AEOs, Explained
In 2026, "AEO" is starting to mean two different things, and depending on who you read it might be either. Answer Engine Optimisation is the established meaning: how a business gets cited inside AI-generated answers like ChatGPT, Perplexity, and Google AI Overviews. Agent Experience Optimisation, sometimes shortened to AXO, is the newer one: how a website talks to autonomous AI agents that visit it directly. They are related but different layers, and a business can be excellent at one and absent from the other.
This article explains the distinction, who uses each meaning, and how to decide which one your business needs more of right now.
The two AEOs at a glance
| Answer Engine Optimisation (AEO) | Agent Experience Optimisation (AXO)
Established? | Yes, since 2023 to 2024 | New, gaining traction in 2026
What it means | Getting your business cited in AI-generated answers | Making your website usable by AI agents that visit it
Discipline type | Content + authority + structured data | Infrastructure + protocols + machine-legibility
What you optimise | Content structure, schema markup, entity signals, authority | Markdown content negotiation, agent skills indexes, MCP server cards, OAuth discovery
Engines and clients | ChatGPT, Perplexity, Google AI Overviews, Gemini | Claude with computer use, Comet browser, agentic ChatGPT, autonomous task agents
Measured by | Citation rate in AI answers | Cloudflare Agent Readiness Score
Required today | Yes for most businesses | Forward-leaning for most, important now for dev tools and ecommerce
TSM uses this meaning | Yes (canonical) | Acknowledges it as a separate layer
If you only had time to read this much: most UK businesses in 2026 should focus on Answer Engine Optimisation first because it has direct revenue impact today. Agent Experience Optimisation is the next layer, and it matters more in some industries than others.
What is Answer Engine Optimisation?
Answer Engine Optimisation is the practice of structuring your website content, technical setup, and online presence so that AI answer engines can understand, trust, and cite your business when they generate answers for users.
The audience is human users asking questions through ChatGPT, Perplexity, Google's AI Overviews, Microsoft Copilot, and Gemini. The job is to be the source those engines pull from.
Concretely, AEO work covers:
- Schema markup (FAQPage, Article, Service, LocalBusiness)
- Direct-answer content architecture (questions in headings, answers in the first sentence)
- Entity clarity (consistent business information across the web)
- Authority signals (citations from credible third-party sources)
- Citation tracking (DataForSEO LLM Mentions, Perplexity logs, manual prompts)
This is the meaning of AEO that almost every UK marketing agency uses, and it is the one we use throughout our content. Our Plain English Guide to Answer Engine Optimisation covers it in full.
What is Agent Experience Optimisation?
Agent Experience Optimisation, sometimes written AXO, is a newer term for a different problem. The audience is not humans asking questions. The audience is autonomous AI agents (software like Claude with computer use, or the agentic mode in ChatGPT) that visit your website on behalf of a user, read it, and try to take actions.
If a customer says to their AI agent "find me a marketing agency in Newcastle and book a discovery call," that agent needs to:
- Find your website
- Read your content efficiently
- Understand what services you offer
- Identify how to book a call (a form, a Cal.com link, a phone number)
- Authenticate if needed
- Take the action
Most websites today fail at steps 2 to 6. The HTML is heavy and full of layout code that wastes the agent's context window. There is no Markdown alternative. There is no Agent Skills index telling the agent what booking, pricing, or contact tools the site exposes. There is no MCP server. There is no OAuth flow the agent can use.
Agent Experience Optimisation is the discipline of fixing that. The reference framework is Cloudflare's Agent Readiness Score, which measures 13 standards across four categories.
In contrast to AEO, AXO is an infrastructure discipline. It is about HTTP headers, well-known endpoints, and protocol support. The work is done in code and configuration, not content.
Where the two overlap
The two disciplines overlap in two places.
First, Markdown content negotiation. AI search engines like ChatGPT and Perplexity that build citations from your site (an AEO concern) prefer markdown when they can get it. AXO ships markdown content negotiation; AEO benefits from it.
Second, schema markup. Structured data is an AEO signal because it helps AI engines understand your content. It also helps autonomous agents because it gives them a clean way to extract entities, prices, and capabilities.
Beyond those two, the disciplines are largely separate. A site can have perfect Markdown content negotiation and Agent Skills index (high AXO) but thin generic content with no authority signals (low AEO). It can also have rich content cited daily by ChatGPT (high AEO) and zero protocol support for autonomous agents (low AXO).
Which one matters more for your business?
For most UK businesses in 2026, Answer Engine Optimisation is the higher-impact discipline. AI Overviews and ChatGPT recommendations drive measurable traffic and enquiries today. The behaviour change is happening now: customers are asking AI assistants where to buy, who to hire, and what to read. If your business is not in the answers they get back, you have already lost the click before they even see a website.
Agent Experience Optimisation is the next layer. It matters more if:
- You sell to developers or technical buyers (they are more likely to use agent-driven tooling)
- You run ecommerce and want to support agentic checkout (x402, Universal Commerce Protocol)
- You operate at a scale where autonomous agents browsing your catalogue creates real opportunity
- You have positioned yourself as an "AI-forward" business and want the credibility signal
For everyone else, AXO is forward-leaning. The infrastructure standards (Markdown content negotiation, Content Signals, Link headers) are cheap to ship and have small but real benefits today. The capability standards (Agent Skills, MCP Server Card, OAuth, WebMCP) only earn their keep when your customers' agents are actually trying to call them, which for most businesses is not yet.
How to do both
If you want to do both, the order is:
- Start with AEO. Schema markup, direct-answer content, entity clarity, authority. This is what we build into every SEO retainer at Tyneside Marketing.
- Add the easy AXO wins. Markdown content negotiation, Link response headers, Content Signals, AI bot rules in robots.txt. A few hours of work, immediately measurable improvement on the Cloudflare Agent Readiness Score.
- Decide on Capabilities. Skip the API/MCP/OAuth standards unless your business has a real reason to expose them. Most marketing and service businesses do not.
- Track both. Run LLM citation tests monthly for AEO. Run the Cloudflare scan quarterly for AXO.
If your business is currently invisible to AI answers, fix the AEO side first. AXO without AEO is a website that AI agents can read efficiently but never get told to visit.
Common questions
Does AEO mean Answer Engine Optimisation or Agent Experience Optimisation?
In UK marketing in 2026, AEO almost always means Answer Engine Optimisation. The Agent Experience meaning is gaining traction in technical writing, particularly around the Cloudflare Agent Readiness Score, but it has not displaced the established usage. When you see AEO in a marketing agency's service pages or content, default to Answer Engine Optimisation.
What is AXO?
AXO is an abbreviation of Agent Experience Optimisation. It is used as a disambiguation term for the new meaning of AEO, particularly by primary sources like agentexperiences.com. AXO covers the technical infrastructure that makes a website usable by autonomous AI agents: markdown content negotiation, agent skills indexes, MCP server cards, and similar protocol-level standards.
Do I need both Answer Engine Optimisation and Agent Experience Optimisation?
If you have customers, you need Answer Engine Optimisation. If you also want to be ready for the agentic shift over the next 18 to 24 months, you need at least the easy parts of Agent Experience Optimisation. The full AXO stack (MCP server, OAuth, API catalog) is a developer-tools and ecommerce concern, not a marketing-business concern, in 2026.
Which one matters more for my business in 2026?
For most UK SMBs, Answer Engine Optimisation. It has direct revenue impact today through AI search visibility. Agent Experience Optimisation is the technical foundation underneath, and the easy parts of it (Link headers, Markdown content negotiation, Content Signals) are worth shipping alongside, but the heavy parts (MCP, OAuth) earn their keep only when your customers' AI agents are calling them, which is rare today.
Is GEO the same as AEO?
Generative Engine Optimisation (GEO) is functionally identical to Answer Engine Optimisation. Different agencies and tools use different terminology, but the work is the same: structure your content and online presence so AI engines can cite you. GEO and AEO are interchangeable in most usage. AXO, on the other hand, is a different discipline entirely.
Can a website be good at AEO and bad at agent readiness?
Yes, easily. We just demonstrated this on our own website. Tyneside Marketing has strong Answer Engine Optimisation foundations (cited regularly in ChatGPT and Perplexity, structured content, entity clarity), but scored 33 out of 100 on the Cloudflare Agent Readiness Score before we shipped any AXO fixes. The two disciplines do not substitute for each other.
Will the two AEO meanings merge eventually?
Probably not. The disciplines are distinct enough that mature usage will likely keep them separate, with AEO settling on Answer Engine Optimisation and AXO emerging as the standard term for the agent-experience layer. We expect this to crystallise over the next 6 to 12 months.
Related reading
- What Is Answer Engine Optimisation? A Plain English Guide
- Cloudflare's Agent Readiness Score
- What Is Generative Engine Optimisation (GEO)?
- AEO vs SEO: What's the Difference and Do You Need Both?
External references
More on AEO
The Six Things Stopping Your Website From Being Fully Agent-Ready (and Why Most Businesses Should Stop at Four)
The Cloudflare Agent Readiness Score has six advanced Capabilities checks that nearly every site fails. We break down which two are worth shipping and why most businesses should skip the other four.
Cloudflare's Agent Readiness Score: What It Means, and What Happened When We Scored Our Own Site
Cloudflare's new Agent Readiness Score grades how AI-friendly your site is. We took our own site from 33 to a perfect score in an hour. Find out how we did it here.
Blog, Article, or Listicle? A Small Business Guide to Content Types, Intent, and AI Search
What's the difference between a blog and an article? What is a listicle? Why do AI Overviews appear on some searches and not others? A plain-English guide for small business owners.