The way an AI-driven search system interprets and presents a brand when it answers a user query.
Digital marketers optimizing websites for AI search results.
01What it is and how it works
When a user asks an AI search system a question, the system looks for entities that match the query. It then pulls data from schema.org markup, site content, and external signals (links, reviews, social mentions). The system builds a short, conversational answer that includes the brand name, a description, and often a link. AXE is the sum of those signals that decide whether the brand appears as a trusted source, a competitor, or is omitted entirely.
AXE is how AI search shows a brand to a user.
02What to do about it
Spend a few hours this week to audit your site’s structured data. Add or update schema.org/Organization and schema.org/Brand markup with accurate name, logo, and description. Refresh high‑performing pages so the most relevant brand language appears near the top of the content. Finally, request a re‑crawl in Google Search Console to let the AI see the changes faster.
03How it is measured or noticed
AXE shows up in two places: the snippet that appears in the AI chat window and the “source” links listed underneath. Look for your brand name in the generated answer, check the URL that the AI points to, and note the presence of your logo or tagline. Tools like Google Search Console’s URL Inspection can confirm whether the structured data is being read.
04Common mistakes
- Leaving schema.org markup incomplete or using generic
Thingtypes instead ofOrganizationorBrand. - Embedding promotional language that differs from the on‑page copy, causing the AI to treat the brand as inconsistent.
- Relying on hidden text or meta tags that are not visible to users; the AI prefers visible, user‑facing content.
05Limits
AXE does not control the AI’s overall ranking algorithm; a strong brand signal cannot outrank a page with higher relevance for the query. It is also distinct from traditional SEO snippets—AXE is about the conversational answer, not just the title and meta description. When a query is very niche or the brand has no public presence, the AI may skip the brand entirely.
06Worked example
"When I asked the AI, 'What are the best running shoes from Brand X?', it answered: 'Brand X offers the TrailPro 2.0, a lightweight shoe with breathable mesh. You can learn more on the official product page.' The answer used the Organization markup on Brand X’s site and linked directly to the product page."Frequently asked questions
How is Agent Experience (AXE) different from traditional SEO?
Usually AXE is not the same as SEO; while SEO optimizes rankings in standard search results, AXE focuses on how AI‑driven chat systems interpret and display a brand in their snippets. It relies heavily on structured data and content signals that feed the AI’s entity model, rather than just keyword relevance.
Should we invest resources in improving our AXE now or wait until AI search matures?
It depends on your audience and how quickly they adopt AI chat tools. If a significant portion of your traffic already comes from AI assistants, early improvements can give you a competitive edge, but you should weigh the effort against other priorities.
Who is responsible for providing the structured data that influences AXE?
Usually the SEO or web development team creates and maintains the schema markup that feeds AXE. They work together with content creators to ensure the data accurately reflects the brand’s entities and attributes.
Does fixing our structured data guarantee a better AXE performance?
No, fixing structured data improves the chances of a strong AXE signal but does not guarantee higher placement. The AI still weighs overall relevance, so you also need high‑quality, relevant content.
What can go wrong if our AXE signals are inaccurate?
Usually inaccurate or missing signals cause the AI to generate misleading snippets or pull the wrong source links, which can confuse users and damage brand trust. You’ll notice higher bounce rates from AI traffic and possibly negative feedback.
How long after updating our structured data will changes appear in AXE?
Typically it takes a few days to a week for the AI system to re‑crawl and incorporate the updated data. During that window you can monitor the snippet in the chat window and check the source links for the new signals.
Asked out loud
spoken, not typedThe same term in the words somebody uses speaking to an assistant rather than typing into a box — written from the situation, which is why each one carries the situation it came from.
Usually it's because the AI hasn't picked up the right structured data signals yet. Check your schema markup for errors and let the system re‑crawl, which can take a few days.
Yes, you can run a quick audit of your site’s structured data with a testing tool and fix any issues right away. The updated snippet may appear within a day, but allow extra time for the AI to re‑index.
No, the problem is likely that the AI is pulling from a source page with stronger relevance signals, not yours. Ensure your content clearly mentions the brand and that the structured data is up‑to‑date.