How to Improve Your Website’s Visibility in AI Search

The way people find information has broadened. Some still work through a page of Google results. Many now read an AI generated summary at the top of those results instead. Others ask ChatGPT directly, or put the question to Gemini, Perplexity or an assistant built into a device or browser, and act on the answer without visiting a search engine at all.

None of this means search is over, or that Google has been replaced. Conventional organic search remains an important source of discovery for most businesses. Many AI powered search experiences still depend heavily on information available across the open web, but the way each platform discovers, retrieves and selects sources can differ. What has changed is that ranking in a traditional results page is no longer the only way a business can gain search visibility. There is now an additional discovery layer sitting on top of search, and businesses need their websites to work for both.

That raises a practical question: what can you do about it? A great deal of the advice circulating is speculative, and some of it is invented outright. What follows sticks to what can be supported: the technical controls that exist, the published guidance from the platforms that have provided any, and the content fundamentals that hold regardless of which system is doing the retrieving.

One thing to establish up front: nobody can guarantee that a page will be surfaced or cited by any AI search system. What you can do is remove the barriers that make it impossible, and give these systems something worth referencing.

What Does It Mean to Optimise for AI Search?

AI Search Optimisation is the practice of making a website and its content accessible, understandable, useful and credible enough to be discovered and drawn on by AI powered search experiences. In practice that means content which is:

• Accessible: reachable and readable, not locked behind logins, scripts or downloads
• Crawlable where appropriate: with crawler controls set deliberately rather than by accident
• Understandable: clearly written, clearly structured, unambiguous about its subject
• Useful: answering something real, with substance behind it
• Credible: attributable to people and a business with relevant experience
• Clearly connected to the entity behind it, so a system can tell who is saying this and why that matters

You will see this work sold under several names. Answer Engine Optimisation (AEO) emphasises structuring information so it can directly answer questions. Generative Engine Optimisation (GEO) is a newer term focused on visibility inside generative AI experiences. ChatGPT SEO describes the same work aimed at one platform. These overlap heavily, and the distinctions matter less than the vocabulary suggests.

There is no publicly documented universal AI Search ranking framework that applies across all platforms. The systems involved are different from one another.

AI Search Platforms Do Not All Work the Same Way

This is the point most AI search advice glosses over, and getting it wrong leads to wasted effort.

Google’s AI features operate within Google Search. AI Overviews and AI Mode are surfaces on top of Google’s existing crawling, indexing and ranking systems. For a page to be eligible as a supporting link in Google AI Overviews or AI Mode, it needs to be indexed and eligible to appear in Google Search with a snippet.

ChatGPT Search has its own crawler and its own publisher controls. OpenAI operates a distinct search crawler with its own robots.txt directives, entirely separate from Googlebot. A site can be perfectly visible in Google and blocked from ChatGPT Search, or the reverse.

Other AI search and assistant platforms may use different retrieval, search and citation systems. Some maintain their own crawlers and indexes. Some draw on third party search providers. Some combine approaches. Several have published little or nothing about how sources are selected.

The consequence is simple: there is no single technical trick that produces visibility across every AI platform, and anyone selling one is guessing. The sensible strategy is to get the shared foundations right, accessibility, clarity, usefulness, credibility, structure, and then handle platform specific technical controls separately, where such controls exist and are documented.

Google AI Search: The Same SEO Foundations Still Matter

Google’s position is refreshingly unambiguous. According to Google’s guidance for AI features, its established search guidance continues to apply to AI Overviews and AI Mode, with no separate technical requirements or special markup needed for inclusion.

In other words, the checklist is the one you already know:

• Crawlability: Googlebot can reach the page and the resources needed to render it
• Indexability: no conflicting canonical tags, noindex directives or duplication problems
• Useful content: written for people, with genuine substance
• Important information available as text: not only inside images, video or downloadable files
• Internal links: connecting related pages so they can be found and understood in context
• Structured data matching visible content: where it applies
• Reasonable page experience: a site that works properly for the people using it

And what’s explicitly not required: there is no special “AI Overview schema” to add, and no separate AI only technical checklist that guarantees inclusion. Inclusion and citation are not guaranteed by anything.

For a fuller treatment of the Google side, see what businesses should focus on for Google AI Search.

ChatGPT Search: Check OAI-SearchBot Access

This section covers a ChatGPT specific technical consideration. It is not a universal AI Search requirement. It applies to OpenAI’s systems and nothing else. It is worth knowing because it is one of the few places where a single robots.txt line can leave a business unable to have its content surfaced in ChatGPT Search summaries and cited results.

OpenAI’s publisher documentation states that any public website can appear in ChatGPT search, and advises that to help make sure content can be discovered, surfaced, and clearly cited and linked, you should make sure you are not blocking OAI-SearchBot.

The crawler distinctions matter:

OAI-SearchBot is for search. Per OpenAI’s crawler documentation, it is used to surface websites in search results within ChatGPT’s search features. Sites that opt out will not be shown in ChatGPT search answers, though they can still appear as navigational links.

GPTBot is a separate control relating to content that may be used in training OpenAI’s generative AI foundation models. The two settings are independent: a site can allow OAI-SearchBot to appear in search while disallowing GPTBot to signal that its content should not be used for training.

ChatGPT-User covers user initiated actions in ChatGPT. OpenAI states it is not used to determine whether content may appear in Search, and directs publishers to OAI-SearchBot for managing search opt outs and automatic crawling.

OpenAI also notes it can take roughly 24 hours from a robots.txt update for its systems to adjust for search results.

Practical checks worth running:

• robots.txt: confirm OAI-SearchBot is not disallowed, whether deliberately or as part of a blanket AI bot block copied from somewhere
• CDN, firewall and bot management rules: check that security or bot blocking settings are not unintentionally blocking it
• noindex directives: review these carefully, because they can affect whether content is eligible to appear in search experiences; the crawler must also be allowed to access the page in order to read the meta tag
• Public accessibility: content behind logins or paywalls may not be retrievable
• Server responses: pages should return normal successful responses, not soft 404s or redirect chains

Blocking AI crawlers is a legitimate business decision if a publisher wants it. The problem is making that decision by accident. And it bears repeating: allowing a crawler makes content eligible, not cited.

Gemini, Perplexity and Everything Else

Beyond Google and OpenAI, other AI assistants and search platforms may use different combinations of crawlers, search providers and retrieval systems. Public documentation varies considerably between platforms, so avoid assuming that a technical requirement for one system applies to another.

Rather than chase each one, note what this tells you: an AI search strategy that depends on a single platform’s quirks is fragile. Platforms change their documentation, their crawlers and their behaviour, and several provide no guidance to optimise against in the first place. The durable investment is in the foundations that every retrieval system needs: content that can be reached, read, understood and trusted. Platform specific controls are worth configuring where they are documented, and worth ignoring where they are invented.

Content Clarity and Answerability

Retrieval systems work best with content whose meaning is easy to establish. That doesn’t mean writing for machines. It means writing clearly enough that a reader and a retrieval system can both tell what a page covers.

In practice:

• Descriptive page titles and headings that name the topic rather than gesturing at it
• Direct explanations near the top of a page, before the background and context
• Concise answers to specific questions, where the question has a specific answer
• Clear service and product descriptions: what is included, who it suits, how it works
• Logical page structure, with one main job per page
• Important information as accessible page text, not only inside images, video or downloadable files
• FAQs where they help, not bolted onto every page as a formality

The principle underneath all of it: write for people first, but structure the information clearly enough that search and retrieval systems can interpret it. Content written to game a machine tends to read badly, and reading badly is its own visibility problem.

Original Information and Expertise

There is now an enormous amount of generic, interchangeable content on the web, most of it saying the same thing in the same way. A business whose content is indistinguishable from the summary an AI could already produce has given nobody a reason to reference it.

What differentiates a page is usually information that only you have:

• First hand expertise from doing the work
• Observations about what tends to go wrong and why
• Case examples, including the ones that were complicated
• Your actual process, described step by step
• Honest explanations of pricing, where commercially appropriate
• Limitations: what a service doesn’t cover, and when it isn’t the right fit
• Comparisons between real options, with the tradeoffs named
• Original images of genuine work
• Data or research, if you have any
• Answers to the questions customers ask, rather than the ones keyword tools suggest

None of these are confirmed AI ranking factors, and they shouldn’t be framed as such. This is a differentiation argument: content containing something unavailable elsewhere is more useful to a reader, more defensible commercially, and more likely to be worth referencing.

Entity and Business Clarity

AI powered search frequently involves questions about organisations, who does this, are they credible, where do they operate, can I trust them. A website that makes those answers hard to find is harder to represent accurately.

Make it obvious:

• Who the business is, and what it does
• What services or products it offers
• Who it serves
• Where it operates, where that is relevant
• Who wrote the content, and what qualifies them
• What relevant expertise, credentials or experience exist
• How to make contact

The practical homes for this are an About page that says something substantive, author bios where authorship matters, clear service pages, visible contact details, business information kept consistent across the web, and structured data where it applies.

This is closely tied to credibility more broadly, strengthening EEAT for SEO and AI Search covers the same ground from the content and trust side.

Website Architecture and Internal Linking

Structure affects whether content gets found at all. Sensible internal linking helps with discovery, makes topic relationships clearer, connects guides to the service pages they relate to, and keeps pages from becoming orphaned. A page with nothing linking to it may simply never be found, no matter how good it is.

The short version: important pages should be easy to reach through logical navigation and internal links, and informational content should connect to the commercial pages it supports. For the detailed treatment, see website architecture for SEO and AI Search.

Does Structured Data Help AI Search Visibility?

Sometimes, modestly, and not in the way it is usually sold.

Structured data provides machine readable clarity. Where it applies, an organisation, an article, a product, a service, a person, it helps search engines understand eligible content and the entities involved.

What it does not do:

• There is no universal “AI schema” to add
• Schema does not guarantee AI citations
• FAQ schema does not automatically improve AI visibility
• Markup and visible page content should align, describing things a visitor cannot see is a policy problem, not a shortcut

It’s also worth not over generalising here. Search engines consume Schema.org markup in documented ways; it should not be assumed that every AI platform reads or weights it identically. Treat structured data as a clarification layer on a page that is already clear, rather than a substitute for one.

Links, Mentions and External Authority

The old claim, build links and AI will recommend you, asserts a relationship nobody outside these companies can verify. There is no confirmed universal AI Search ranking factor here, and “more backlinks equals more AI citations” is invented.

Genuine links and mentions across the wider web remain worth earning, for reasons that hold regardless of how any particular system works:

• They support conventional SEO, which remains an important source of search visibility and traffic
• They help people discover the brand directly
• They create independent references to the business, rather than only self description
• They strengthen the business’s wider web presence, so there is more reliable information available about it

A business that is written about, referenced and discussed elsewhere is simply better documented than one existing only on its own website. That is worth pursuing on its own merits.

Keep Important Information Current

AI powered search can surface content that is some time old. Where accuracy matters, out of date information is worse than none, because it can be presented confidently as current.

Worth reviewing on a schedule: prices and fee structures, product or service availability, team information and credentials, opening hours and contact details, policies and terms, any statistics you have quoted, software and platform information, and industry guidance that has since changed.

The thing not to do is change publication dates to look fresh without changing anything. Update the content; let the date reflect the update.

Measuring AI Search Visibility

Measurement here is partial, and it helps to be realistic about that.

Some of it is trackable. OpenAI documents that ChatGPT automatically includes the UTM parameter utm_source=chatgpt.com in referral URLs, which lets publishers identify inbound traffic from ChatGPT in analytics platforms such as Google Analytics. Google currently includes AI Overviews and AI Mode within Search Console’s overall Web performance reporting, rather than breaking them out as a separate category.

The limits matter more than the metrics:

• Referral traffic doesn’t capture every form of AI visibility. Being mentioned is not the same as being clicked.
• Citations and brand exposure can happen without a click. Someone may read about your business, remember it, and arrive weeks later by typing your name.
• Traffic data doesn’t explain itself. It can tell you a visit came from an AI platform. It cannot tell you why that page was chosen, or what was asked.
• Coverage is uneven. Some platforms provide referral signals; others provide little or none.

Treat it as one signal among several, alongside branded search volume, direct traffic, and asking new enquiries how they found you. The last one remains surprisingly informative.

Getting Found Across AI Search

There is no AI search growth hack. The most defensible strategy is still to get the fundamentals right: make important pages technically accessible, publish useful information, clearly explain who the business is and what it does, maintain sensible site structure and internal links, and keep important information current.

That list should look familiar. It is largely what good SEO has always asked for, now applied to a wider set of places where people discover information and ask questions.

If you want help building that foundation across both conventional and AI powered search, NetiaWeb’s AI Search Optimisation work is built around exactly these fundamentals.

AI Search Visibility: Common Questions

What is AI Search Optimisation?

It is the practice of making a website accessible, clear, useful and credible enough to be discovered and drawn on by AI powered search experiences. It overlaps heavily with conventional SEO, and with the terms AEO and GEO. It is not an official programme run by any platform.

How do I get my website to appear in AI search results?

Start with the foundations: content that can be crawled, indexed, read and understood, from a business whose identity and expertise are clear. Then check platform specific controls where they exist. Most importantly that you are not accidentally blocking crawlers you want access from. None of this guarantees appearance in any particular answer.

Do all AI search platforms work the same way?

No. Google’s AI features run on Google’s own crawling and indexing. ChatGPT Search uses its own crawler and publisher controls. Other platforms use their own retrieval and citation systems, and several publish little about how they select sources. This is why single platform tactics are a weak strategy.

Does my website need to be indexed by Google to appear in AI Search?

Not for every AI platform. For Google AI Overviews and AI Mode, a page needs to be indexed and eligible to appear in Google Search with a snippet. Other AI platforms use their own discovery and retrieval systems, so Google indexing is not a universal requirement for all AI Search visibility.

Is there a special schema for AI search?

No. There is no universal AI schema, and Google has stated no special markup is required for AI Overviews or AI Mode. Relevant structured data remains useful where it applies, as long as it reflects visible page content.

Do backlinks improve AI search visibility?

Indirectly, at most. There is no confirmed universal relationship between backlink counts and AI Search visibility or citations. Genuine links and mentions remain worthwhile because they support conventional SEO, aid discovery, and increase the independent information available about a business.

Can I guarantee my business appears in AI answers?

No, and neither can anyone else. AI answers are not a fixed results page with stable positions. Sources can vary by query, phrasing and context. Any agency guaranteeing a specific AI citation or position is overstating what is possible.

How do I measure AI search visibility?

Partially. ChatGPT referrals can be identified via utm_source=chatgpt.com in analytics tools, and Search Console covers Google’s surfaces to a degree. But visibility often occurs without a click, so combine the data with branded search trends and asking enquiries directly how they found you.

Is ChatGPT SEO the same as AI Search Optimisation?

ChatGPT SEO is platform specific language for one part of it. AI Search Optimisation is the broader strategy covering visibility across multiple AI powered search experiences. The underlying work overlaps heavily, which is why a platform by platform approach usually duplicates effort.