What Is AI Visibility? How to Optimise Your Website for AI Search.

The Future of Search is Here

AI visibility is the ability of a brand, business or website to be understood, surfaced, cited or recommended by AI-powered search engines and assistants when users ask relevant questions.

As tools such as ChatGPT, Google Gemini and other AI-powered search experiences become part of how people research businesses, products and services, being discoverable online is no longer only about ranking in traditional search results.

Businesses increasingly need to consider a second question:

Can AI understand enough about our business to recognise when we’re relevant?

That’s where AI visibility comes in.

What is AI visibility?

AI visibility describes how effectively AI systems can understand a business and connect it with relevant topics, questions, products, services and user needs.

For example, an accountancy firm may want to be associated with questions such as:

“What type of accountant does a UK ecommerce business need?”

A software company might want to be relevant when someone asks:

“What software can help a small agency manage client projects?”

And a local business might want to be considered when a user asks an AI assistant for recommendations in its area.

Being visible doesn’t mean appearing for every possible AI prompt.

It means making your business sufficiently clear, relevant and authoritative that AI systems have better information from which to understand who you are, what you offer, who you serve and where your expertise lies.

Why is AI visibility becoming important?

The way people find information online is evolving.

Google announced in 2025 that AI Overviews had reached more than 1.5 billion monthly users across 200 countries and territories.

The shift isn’t limited to Google.

Adobe’s research found that among people already using generative AI, 72% relied on AI as their primary tool for researching products and brands, while 47% used it for product recommendations.

More recent Adobe research found that among customers who already use AI-powered platforms for research, 42% frequently or always rely on AI assistants, conversational platforms or AI-powered search as their primary source for advice, shopping or troubleshooting.

Meanwhile, Semrush’s analysis of more than 50,000 websites across 17 industries found that AI traffic grew 66% during 2025, although it still represented less than 0.15% of overall web visits.

That last point is important.

AI isn’t replacing traditional search overnight.

But it is creating an additional discovery channel businesses increasingly need to understand.

How is AI search different from traditional search?

Traditional search usually asks users to choose between results.

A search engine might display ten websites, ads, maps, products and other features.

The user then decides what to open.

Generative AI can change that interaction.

A user can ask:

“What’s the best project management software for a five-person creative agency that needs client approvals and doesn’t want an overly complicated system?”

Rather than simply displaying pages containing those keywords, an AI assistant can attempt to understand the entire request and construct an answer around it.

That creates a different journey:

Traditional search:

Query → search results → websites → comparison → decision

AI-assisted discovery:

Detailed question → generated answer → cited/recommended options → website → decision

This makes context particularly important.

The goal isn’t simply to associate a webpage with a keyword.

AI systems need enough information to establish why a business might be relevant to a particular request.

How does AI understand your website?

AI systems can process the information available about your organisation to identify relationships between entities, topics and concepts.

For a business website, that can include relationships such as:

Brand → Product → Problem → Customer → Industry → Location → Expertise

Imagine two websites.

One says:

“We deliver innovative solutions that help businesses reach their potential.”

The other says:

“We provide inventory management software for independent UK retailers, helping shops monitor stock levels, manage suppliers and reduce out-of-stock products.”

The second description provides considerably more context.

It establishes:

What: inventory management software

Who: independent retailers

Where: UK

Problems addressed: stock monitoring, supplier management and availability

Clear language isn’t only useful for AI.

It’s better communication for potential customers too.

What affects a website’s AI visibility?

There is no single “AI ranking factor” that guarantees inclusion in an AI-generated answer.

Different systems retrieve, interpret and generate information differently.

However, businesses can strengthen the information available about themselves.

Clear business information

Your website should explicitly communicate:

* what your business does

* what you sell or provide

* who your customers are

* which problems you solve

* where you operate

* what makes your offering relevant

Avoid forcing visitors — or machines — to infer basic facts from vague marketing language.

Strong topical coverage

A website consisting almost entirely of sales pages provides limited context about the organisation’s expertise.

Useful supporting content can demonstrate knowledge around the problems your audience is trying to solve.

This can include:

* explanatory articles

* FAQs

* comparison content

* guides

* research

* case studies

* product documentation

* industry insights

The objective isn’t to publish hundreds of shallow articles.

It’s to provide useful, specific information around the topics your organisation genuinely understands.

Answer-focused content

Many AI interactions begin with questions.

Content should therefore provide clear answers.

Instead of burying an explanation halfway through 1,500 words, answer important questions directly and then expand upon them.

For example:

What is generative engine optimisation?

Generative Engine Optimisation (GEO) is the practice of improving digital content so that generative AI systems can more easily understand its meaning, relevance and authority when producing responses.

That structure is useful to humans, search engines and answer-generating systems.

Consistent entity information

Your organisation should be described consistently across your website and other credible places where it appears online.

Company name, services, expertise and other important facts shouldn’t contradict each other.

Clear entity relationships make it easier to establish what an organisation represents.

Structured website architecture

Logical headings, descriptive page titles, internal links and well-organised content make information easier to navigate and interpret.

Structured data can provide additional machine-readable context about certain types of information, although adding schema markup alone won’t make a website appear in AI recommendations.

Evidence and authority

Claims become more useful when they’re supported.

Original research, expert knowledge, reputable external sources, case studies, statistics and first-hand experience can all strengthen content.

That’s also why this article links directly to the research behind its statistics rather than presenting numbers without context.

What are SEO, AEO and GEO?

SEO, AEO and GEO are related approaches to digital visibility, but they focus on different aspects of discovery.

SEO (Search Engine Optimisation) is the practice of improving a website’s visibility in organic search engine results.

AEO (Answer Engine Optimisation) focuses on making information clear and accessible so answer-based systems can identify useful responses to users’ questions.

GEO (Generative Engine Optimisation) focuses on improving how content and brands are understood and represented within generative AI experiences.

They overlap considerably.

Good technical SEO, clear information architecture, authoritative content and genuinely useful answers can benefit all three.

Is GEO replacing SEO?

No. GEO is not replacing SEO.

Traditional search remains enormously important. Semrush’s 2026 traffic study found organic search generated more than one trillion visits during 2025, vastly exceeding traffic directly attributed to AI systems.

The more useful way to think about the change is:

SEO + AEO + GEO = a broader search visibility strategy.

Businesses should continue making their websites discoverable through traditional search while also considering how their information is interpreted by AI-powered discovery systems.

Is traffic from AI valuable?

Early evidence suggests AI-referred visitors can behave differently from other website visitors.

Adobe found that UK retail traffic from AI-powered platforms increased by more than 1,200% between August 2024 and June 2025. Visitors arriving through LLM-powered assistants also spent 23% longer on-site than visitors arriving from social media.

Adobe’s US research similarly found that, in February 2025, AI-referred retail visitors had a 23% lower bounce rate, viewed 12% more pages and spent 41% longer on websites than non-AI traffic.

By later in 2025, Adobe reported AI-referred retail traffic converting 31% higher than other traffic sources during the holiday season, alongside longer sessions and lower bounce rates.

These figures shouldn’t be interpreted as a guarantee that AI traffic will perform better for every business or industry.

But they demonstrate why AI visibility is increasingly commercially relevant.

A person asking an AI assistant for a specific recommendation may provide considerably more context about what they need than someone typing a broad two-word search query.

That can create a highly targeted discovery opportunity.

How can you improve your AI visibility?

Start with clarity.

Ask yourself:

If an AI system analysed our website today, could it confidently determine what we do, who we serve and when our business might be relevant?

Then review the following:

1. Define your business clearly.

Make your products, services, audiences and expertise explicit.

2. Answer genuine customer questions.

Create content around questions people actually ask before making a decision.

3. Build topical depth.

Cover important subjects comprehensively rather than creating isolated keyword pages.

4. Strengthen your entity signals.

Keep important information about your organisation clear and consistent.

5. Use meaningful internal links.

Connect related pages so both visitors and machines can understand relationships between topics.

6. Support important claims.

Use credible sources, evidence and first-hand expertise wherever appropriate.

7. Maintain strong SEO foundations.

AI optimisation isn’t an excuse to neglect crawlability, performance, metadata, accessibility or conventional search optimisation.

8. Measure changes over time.

AI systems and websites both change. Visibility should therefore be monitored rather than treated as a one-time exercise.

Can you guarantee that ChatGPT or another AI will recommend your business?

No.

No legitimate optimisation strategy can guarantee that a specific AI model will recommend a particular business for a particular prompt.

Generative responses can vary depending on the model, user question, context, retrieval mechanisms, available sources and other factors.

Businesses can instead focus on something they can influence:

Making their digital presence clearer, more informative, more authoritative and easier for machines and humans to understand.

Why we created ORBA?

Most businesses already have tools for understanding traditional website performance.

They can measure traffic, rankings, conversions, engagement and advertising.

But a new question is emerging:

How does AI understand our website?

That’s the gap ORBA is being built to address.

ORBA analyses a website to help businesses understand how clearly their content communicates with AI systems and where their AI visibility could potentially be improved.

The aim isn’t to replace SEO.

And it isn’t to promise businesses they’ll suddenly appear in every AI answer.

It’s to make a rapidly developing area of digital discovery more understandable and actionable.

Because as search evolves, visibility won’t only depend on whether your website can be found.

It will increasingly matter whether your business can be understood.

Frequently Asked Questions

What does AI visibility mean?

AI visibility describes how effectively a business, brand or website can be understood, surfaced, cited or recommended within AI-powered search and generative AI experiences for relevant questions.

What is AI search optimisation?

AI search optimisation involves improving website content, structure, entity information and authority so AI-powered systems have clearer information with which to understand a business and its relevance.

Does schema markup improve AI visibility?

How do I make my website easier for AI to understand?Structured data can provide machines with additional context about information on a webpage, but schema markup alone does not guarantee inclusion or recommendation within an AI-generated answer.

How do I make my website easier for AI to understand?

Use clear descriptions of your organisation, products and services; answer relevant questions directly; create authoritative topical content; organise pages logically; maintain consistent business information; and support claims with credible evidence.

Can ORBA tell me how AI understands my website?

ORBA is designed to analyse a website’s AI visibility and identify areas where its content and signals could be made clearer for AI interpretation.