AI Search Optimisation Services: AEO and GEO

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Search is changing. People still use conventional search results, but they are also asking longer, more detailed questions and receiving answers generated from information gathered across multiple sources.

AI-generated search experiences can influence which organisations, services, and sources people encounter. Visibility is no longer limited to appearing within a list of search results. It can also mean being referenced, cited, recommended, or used as a source within an AI-generated answer.

AI search optimisation helps organisations improve how clearly their expertise, services, evidence, and subject knowledge can be discovered and understood across these changing search environments.

What is AI search optimisation?

AI search optimisation is the process of improving the content, technical foundations, authority signals, and information structure that can influence visibility within AI-generated and answer-led search experiences.

It is sometimes described as Answer Engine Optimisation, or AEO, and Generative Engine Optimisation, or GEO.

These are not replacements for SEO. They are developments within the wider search landscape and rely heavily on established SEO principles, including:

Technically accessible and indexable pages.
Clear, relevant, and useful content.
Strong information architecture.
Purposeful internal linking.
Accurate structured data.
Evidence of genuine expertise and experience.
Consistent information about an organisation, its services, and its people.
Credible external references and mentions.
A clear understanding of what audiences are searching for.

The difference is that this work must now support several forms of discovery, including conventional search results, direct answers, AI-generated summaries, citations, recommendations, and conversational searches.

What is Answer Engine Optimisation?

Answer Engine Optimisation focuses on making information easier for search and answer platforms to identify, interpret, and present in response to a question.

This can involve ensuring that pages:

Address relevant questions clearly.
Provide direct and accurate explanations.
Use descriptive headings and logical page structures.
Include enough context to make an answer meaningful.
Support claims with appropriate evidence.
Connect related questions and topics.
Make important information easy to locate.

AEO does not mean reducing every page to a series of brief answers or writing content purely for machines. The content still needs to be useful, credible, and understandable to the people reading it.

What is Generative Engine Optimisation?

Generative Engine Optimisation focuses on improving how an organisation, brand, service, or source may be discovered and represented within generative search experiences.

These systems may retrieve information from several sources and combine it into a generated response. GEO therefore involves more than optimising an individual page for a keyword.

It may include:

Strengthening topic coverage across a website.
Making organisational and service information consistent.
Demonstrating relevant expertise and first-hand experience.
Improving the clarity of relationships between people, services, locations, and subjects.
Developing original evidence, analysis, research, examples, or commentary.
Building credible external references and mentions.
Reviewing whether relevant crawlers can access important content.
Monitoring where an organisation is mentioned, cited, overlooked, or misrepresented.

AEO and GEO overlap considerably, which is why Beyond Metrix treats them as part of one integrated AI search optimisation service.

Why AI search visibility matters

AI-generated answers may shape awareness and decision-making before somebody reaches a website.

A person researching a service may ask:

Which organisations provide a particular service?
What should I look for when choosing a provider?
Which company has experience in my sector?
What are the risks of a particular approach?
How do two services or products compare?
Which organisations are reliable sources on the subject?

If competitors are repeatedly cited or recommended while your organisation is absent, it may affect awareness, trust, website visits, enquiries, and future demand.

However, AI search visibility should not be considered in isolation. Conventional organic search remains important, and the same organisation may be discovered through search listings, AI-generated responses, referrals, business profiles, directories, publications, and other sources.

The objective is not to pursue visibility within one platform at the expense of everything else. It is to build stronger visibility across the wider search and discovery journey.

AI search visibility audits

An AI search visibility audit examines how your organisation currently appears across relevant AI-led and conventional search experiences.

The scope will depend on your organisation, sector, website, audiences, competitors, and available data, but may include:

Testing strategically and commercially important questions.
Reviewing whether your organisation, services, products, people, or expertise are mentioned.
Identifying when and where competitors are referenced instead.
Examining the sources being cited within generated answers.
Reviewing branded and non-branded search visibility.
Assessing content depth, clarity, evidence, authorship, and first-hand expertise.
Reviewing crawlability, indexation, robots controls, and crawler access.
Examining structured data, semantic HTML, page relationships, and internal linking.
Reviewing business profiles, directories, publications, and other external sources.
Assessing the consistency of organisational, service, location, and people information.
Reviewing analytics, webmaster tools, referral traffic, and server logs where available.
Identifying gaps, risks, quick wins, and longer-term opportunities.

The result is a practical assessment of where your organisation is visible now, where important gaps exist, and which actions are most likely to strengthen its wider search presence.

AI search strategy

AI search optimisation should form part of your wider SEO, content, marketing, and measurement strategy.

Beyond Metrix can develop a prioritised AI search strategy covering:

The questions and topics that matter most to your audiences.
Searches connected with your services and organisational goals.
Existing pages that can be strengthened.
Gaps where new content would provide genuine value.
Opportunities to demonstrate experience, authority, evidence, and a distinctive point of view.
Ways to improve the clarity and consistency of important information.
Technical barriers affecting discovery, retrieval, or indexation.
Internal linking and relationships between related topics.
External visibility, mentions, profiles, and supporting sources.
Practical methods for monitoring progress.

Recommendations are prioritised according to likely value, urgency, effort, available resources, and wider dependencies.

This creates a realistic programme of work rather than a long list of speculative recommendations.

Content optimisation for AI search

AI search optimisation does not require large volumes of generic content written by AI.

The strongest opportunities often come from making genuine organisational expertise more visible, specific, and useful.

Content optimisation may include:

Improving page headings and structure.
Answering important audience questions more clearly.
Strengthening topic and service coverage.
Adding evidence, examples, original analysis, or first-hand experience.
Making authorship and professional expertise clearer.
Improving service descriptions and organisational information.
Removing ambiguity, duplication, or unsupported claims.
Connecting related pages through purposeful internal linking.
Updating older content where information has changed.
Developing content briefs or page skeletons for internal specialists.
Repurposing valuable evidence or insight into accessible web content.

The purpose is not to produce content designed only to satisfy an algorithm. It is to make useful, credible information easier for both people and search systems to find and understand.

Technical AI search optimisation

Technical SEO remains central to AI search visibility.

Content cannot be retrieved or used effectively if it cannot be accessed, indexed, rendered, or interpreted.

Technical work may include reviewing:

Search engine and AI search crawler access.
Robots.txt rules and crawler-specific controls.
Indexation and canonicalisation.
JavaScript rendering and content availability.
XML sitemaps and content discovery.
Mobile usability and page performance.
Semantic HTML and accessible page structure.
Structured data implementation.
Duplicate, fragmented, or contradictory information.
Internal linking and crawl paths.
Business, service, author, and organisational consistency.
Analytics, referral tracking, webmaster tools, and server-log data.

There is no single piece of schema or technical file that can guarantee inclusion within an AI-generated answer.

Technical implementation needs to be accurate, relevant, and supported by strong content and credible organisational evidence.

Authority, mentions, and external sources

AI-generated responses may draw from sources beyond an organisation’s own website.

External visibility can therefore influence how clearly an organisation and its expertise are understood.

Relevant sources may include:

Industry publications.
Professional directories.
Business profiles.
Membership organisations.
Research and reports.
News coverage.
Conference appearances.
Podcasts and interviews.
Partner websites.
Client or supplier references.
Independent reviews.
Trusted sector-specific resources.

The objective is not to create large numbers of poor-quality mentions. It is to strengthen the presence of accurate, consistent, and credible information across the sources that matter within your sector.

Measuring AI search visibility

Measuring AEO and GEO is still developing.

No single platform provides a complete record of every question, generated answer, citation, recommendation, or source used across every AI search system.

Beyond Metrix uses the evidence that is genuinely available rather than presenting speculative visibility scores as fact.

Measurement may draw on:

Search performance and landing-page data.
Available AI citation and source data.
Referral traffic from AI search platforms.
Analytics engagement and conversion data.
Server logs and verified crawler activity.
Repeatable manual query testing.
Competitor comparisons.
Changes in citations, mentions, impressions, visits, enquiries, and other relevant actions.
Third-party monitoring tools, with their limitations clearly explained.

Reporting distinguishes between what can be measured directly, what can be observed through structured testing, and what remains an informed interpretation.

Can AI search visibility be guaranteed?

No consultant, agency, or software platform can guarantee that a website will be selected, cited, or recommended within a particular AI-generated answer.

Generated responses can vary according to:

The wording of the question.
The platform being used.
Search location and language.
Available sources.
Personalisation and context.
Changes to search systems and models.
The date and time of the search.

AI search optimisation improves the content, technical, and authority foundations that make visibility more likely. It does not provide control over the answer an external platform ultimately generates.

Any provider promising guaranteed citations, recommendations, or rankings should be treated with caution.

Who is this service for?

AI search optimisation can be useful for organisations that:

Rely on search visibility to generate enquiries, leads, applications, sales, or public engagement.
Have valuable expertise that is not being surfaced within AI-generated answers.
Are seeing competitors referenced or cited more frequently.
Need to understand how search behaviour is changing within their sector.
Want to integrate AEO and GEO into an existing SEO programme.
Have a large amount of content but limited visibility around priority services or topics.
Need a clear way to measure AI search visibility without relying on inflated or misleading claims.
Want an evidence-based approach rather than short-term gimmicks.

Support can be provided as a standalone audit, a focused strategy project, or as part of a wider SEO and content programme.

Frequently asked questions

Is AEO different from SEO?

AEO is not a replacement for SEO. It places additional emphasis on helping search and answer systems identify clear, useful responses to audience questions. Strong technical SEO, content quality, authority, and indexation remain essential.

Is GEO different from AEO?

The terms overlap. AEO generally focuses on making content suitable for direct answers, while GEO focuses more specifically on visibility within generative search experiences that retrieve and combine information from several sources.

In practice, organisations normally need an integrated approach rather than separate and competing AEO and GEO strategies.

Can you optimise a website specifically for ChatGPT?

A website can be made more accessible, understandable, authoritative, and relevant to AI search systems, including those that retrieve current web information. However, nobody can guarantee that ChatGPT or another platform will cite or recommend a particular website.

Does my website need special AI schema?

There is no special AI schema that guarantees visibility within generated answers. Structured data should accurately describe the visible content and should form part of a wider technical SEO and content strategy.

Does my website need an llms.txt file?

An llms.txt file may be considered as part of an experimental or platform-specific technical approach, but it is not a substitute for crawlability, indexation, useful content, structured data, internal linking, or established SEO foundations.

How long does AI search optimisation take?

Some technical and content improvements can be implemented quickly. Broader visibility normally develops over time as content is discovered, indexed, referenced, updated, and supported by stronger internal and external signals.

Do you know how visible your organisation is in AI search?

Your organisation may already appear in AI-generated answers, or competitors may be cited for important questions where you are currently absent.

An AI search visibility audit can show where you are being found, which sources and competitors are being referenced, and where there are practical opportunities to strengthen your visibility.

Ready to take the next step?

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