UNDERSTANDING AI SEARCH
SEO is not dead. But the rules changed overnight.
Your clients are no longer typing keywords into Google and clicking links. They are asking AI a question and trusting the answer. This page explains what that shift means, why most websites are not ready for it, and what the difference is between the three terms you keep seeing: SEO, AEO, and GEO.
JUST CONFIRMED — GOOGLE I/O, 19 MAY 2026
At Google I/O this week, the company announced the biggest redesign of Search in its 25-year history. The traditional results page is being replaced by AI-powered conversational answers, autonomous information agents that search on your behalf, and generative interfaces built on the fly. Links, Google's own product team acknowledged, are becoming an afterthought.
AI Overviews now reach 2.5 billion users every month. Google's conversational AI Mode has topped 1 billion. The transition is not gradual. It is happening now, at scale, and it is coming from the company that built the model your website was optimised for.
Source: TechCrunch, 19 May 2026
How people searched before. How they search now.
Until recently, search worked like a library catalogue. Someone typed a phrase, Google returned a list of ten links, and the user chose where to click. Your job as a business was to appear high in that list. Traffic was the goal.
That model has not disappeared. But a parallel model has emerged alongside it — and it is growing fast.
When someone now asks ChatGPT "who should I see for Botox in Marylebone" or asks Perplexity "what should I look for in a home care provider for my father", they do not get a list of links to browse. They get a single synthesised answer. One recommendation. Sometimes two or three. The AI has already done the comparison, the filtering, and the trust assessment on their behalf.
The user does not click through ten websites. They read the answer and act on it.
This is not a future trend. It is happening now. Gartner predicts traditional search volume will drop 25% by 2026 as users increasingly turn to AI for direct answers. Over half of health-related searches already trigger an AI-generated response rather than a traditional results page.
SEO, AEO and GEO. What they actually mean.
These three terms describe different layers of the same problem: how do you make sure your business gets found, recommended, and trusted by the systems people use to make decisions?
SEO
Search Engine Optimisation
STILL RELEVANT
GOAL
Rank your website on Page 1 of Google
HOW IT WORKS
- Optimise website keywords
- Build backlinks
- Improve page load speed
- Create blog content
- Target search phrases
RESULT
Businesses who want a clear baseline before making content or UX investments. for titles, paragraphs & more.
AEO
Answer Engine Optimisation
ESSENTIAL NOW
GOAL
Be the source an AI cites when someone asks a relevant question
HOW IT WORKS
- Structure content for AI extraction
- Verify your entity and credentials
- Answer questions directly
- Build consensus signals
- Engineer third-party validation
RESULT
When someone asks ChatGPT or Perplexity for a recommendation, your business is the answer they get.
GEO
Generative Engine Optimisation
THE FULL PICTURE
GOAL
Ensure AI can understand, trust, and recommend your business, also visitors convert when they arrive
HOW IT WORKS
- Full content and UX audit across three layers
- Entity clarity and authority signals
- Decision journey readiness
- High-intent landing experience
- Ongoing AI visibility monitoring
RESULT
AI recommends you. The visitor arrives already convinced. Your site confirms their decision and converts.
The distinction that matters in practice: most SEO and GEO tools address the technical layer only — schema markup, crawlability, metadata. The UX layer and the content strategy layer, where most AI visibility gaps actually live, remain largely unaddressed by any tool or platform.
Your website was built for a different kind of visitor.
Most business websites were designed and built for Google-era search behaviour. A visitor arrived, browsed multiple pages across multiple sessions, compared options, and eventually converted. The funnel was long, the journey was exploratory, and there was time to persuade.
The AI-referred visitor is different. They arrive having already been told you are a credible option. They are not browsing — they are validating. They have a high level of intent and a low tolerance for friction. If the page they land on does not immediately confirm what the AI told them, they leave.
This creates two distinct problems.
If your website is not structured in a way that AI can read, extract, and verify, you will not appear in AI-generated answers at all — regardless of how good your service is or how long you have been operating.
Visbility
Even if you do appear, the experience your AI-referred visitor has when they arrive on your site determines whether that visibility translates into an enquiry or a booking. A site built for Google-era browsing often fails this visitor at the point of highest intent.
Conversion
Where the gap actually lives.
AI visibility problems almost always sit across three layers, not one.
LAYER 01
Technical
Schema markup, crawlability, structured data, page speed. This is the layer that SEO and GEO tools address. It matters, but it is the minimum entry condition — not the differentiator.
LAYER 02
Content
Whether your pages answer the questions AI systems are looking for. Whether your authority signals — credentials, outcomes, evidence — are structured in a way AI can verify. Whether your content addresses the concerns your audience actually arrives with, not just the services you want to sell. This is where most businesses have significant gaps, and where almost no tool or platform provides meaningful guidance.
LAYER 03
UX & Conversion
Whether the experience a high-intent, AI-referred visitor has when they land on your site matches the intent they arrived with. Whether friction has been removed from the decision journey. Whether your pages are built for someone who has already done their research and just needs confirmation. This layer is entirely absent from every automated audit tool available today.
Why a technical audit is not enough.
Xyra Foundry's AI Readiness and GEO UX Audit covers all three layers across 31 scored items, grouped into four pillars.
1
Discoverability
Can AI systems find, crawl, and understand your site?
3
Content extractability
Can AI lift your content and use it to answer user questions accurately?
2
Entity clarity
Does AI know who you are, what you do, and why you are credible?
4
Decision journey readiness
When a high-intent visitor arrives from an AI recommendation, does your site convert them?
Most audits — whether automated tools or agency reports — cover the first pillar and part of the second. The third and fourth pillars, where the commercial impact is greatest, are covered by Xyra Foundry and almost no one else.
This is not a problem for the future. It is happening to your pipeline now.
If your business relies on inbound enquiries, and your prospective customers or patients use AI tools to research before deciding which most now do — your AI visibility directly affects your revenue.
The businesses most affected are those in high-consideration, research-heavy categories:
- Healthcare
- Aesthetics and beauty
- Professional services
- Financial and legal
- Home care and support
- Hospitality
- Premium consumer brands
In these categories, the gap between businesses with high AI visibility and those with low visibility is already measurable in enquiry volume. It will widen.
