What's in this article
What's in this article
Search is no longer just a page of ten blue links.
People can now ask Google AI Mode, Microsoft Copilot, ChatGPT and other AI tools a detailed question and receive a summarised answer assembled from several sources. They can then ask follow-up questions, compare options and narrow their choices before visiting a website.
This creates a new challenge for businesses. It is no longer enough to ask, “Where do we rank?” We also need to ask:
Fortunately, traditional search optimisation and AI visibility are not two completely separate disciplines. Both depend on publishing information that is useful, accessible and credible.
This is where E-E-A-T can help.
E-E-A-T stands for:
Google says that trust is the most important part. Experience, expertise and authority all contribute to establishing that trust.
For example, an article about migrating a complicated website is more convincing when it is written by somebody who has planned and completed real migrations. Their advice becomes stronger when it includes original screenshots, problems they encountered and evidence of the outcome.
A clear biography, relevant case studies and references from clients or respected industry organisations make the source easier to trust.
E-E-A-T is therefore not something you add to a page after writing it. It should influence who creates the content, what evidence they include and how openly the website represents the people and organisation behind it.
Not in the sense of a single score that Google attaches to your website.
Google explains that E-E-A-T is not itself a specific ranking factor. Its automated systems use a mixture of signals that can identify content demonstrating qualities associated with experience, expertise, authority and trust.
Google’s search quality raters use E-E-A-T concepts when assessing whether search systems are producing good results. Those raters do not manually control the ranking of individual websites.
This distinction matters because it prevents us from treating E-E-A-T as another technical box to tick. There is no E-E-A-T score to submit, badge to install or piece of schema that will automatically move a page up the results.
Instead, it is a helpful framework for asking whether your content deserves to be found and trusted.
An AI-generated answer needs information it can find, understand and use with confidence. When the answer includes links, the system also needs suitable sources that support the statements being made.
That creates a natural overlap with E-E-A-T:
Google’s official guidance says that the same foundational SEO practices apply to its AI Overviews and AI Mode. There is no special AI schema or additional technical requirement; a page must be indexable and eligible to appear in normal Google Search.
OpenAI takes a similarly practical approach. A public website can appear in ChatGPT search, but publishers should ensure they are not blocking OAI-SearchBot if they want their content to be discovered, summarised and cited.
E-E-A-T cannot guarantee inclusion in an AI answer. It can, however, help you create the kind of clear, distinctive and defensible material that search and AI systems have good reason to surface.
The first “E” is where many businesses have an advantage over generic content publishers.
You work with real customers, deliver real projects and solve real problems. That experience can produce content an automated summary or generalist writer cannot easily replicate.
Useful evidence might include:
A weak case study says, “We built a modern website and the client was delighted.”
A stronger one explains the original problem, the constraints, the decisions made, the people involved and the measurable result. If a new website reduced administration, increased applications or improved enquiries, describe how you know.
Specificity makes experience believable.
Anonymous content gives readers very little reason to trust it.
Give appropriate articles a named author and link that name to a useful biography. The biography should explain the person’s relevant experience, role and specialist subjects—not simply state that they are “passionate about digital”.
Where helpful, include:
For sensitive or highly technical subjects, consider adding a named reviewer as well as an author. Make the difference between their roles clear: one person may write the article while another checks its legal, medical, financial or technical accuracy.
Google recommends thinking about the Who, How and Why of content: who created it, how it was produced and why it exists. Clear authorship directly addresses the first of those questions.

One excellent article is useful, but authority normally develops through consistent depth.
Choose a limited number of subjects that connect directly to your services and experience. Build each into a useful content cluster containing:
A web agency with genuine experience in charity, recruitment and manufacturing websites, for example, can offer far more value by exploring those areas properly than by publishing hundreds of generic marketing articles.
Depth also helps with the longer, more specific questions people ask AI tools. A comprehensive group of connected resources creates more opportunities to supply a useful passage for a particular question.
Do not create multiple near-identical pages to cover slight keyword variations. Each page should have a distinct purpose and add something meaningful to the subject.
Anybody can call themselves an expert on their own website. Authority becomes more convincing when other credible sources support the claim.
Useful third-party signals can include:
The objective is not to acquire large quantities of low-quality links. It is to make your real-world reputation visible online.
If your business has completed valuable work, joined an industry organisation, supported a community project or contributed genuine expertise, ensure there is a clear and accurate record of it.
Trust weakens when a website makes sweeping claims without evidence.
Phrases such as “industry-leading”, “the best” or “guaranteed to increase sales” are easy to write and difficult to prove. Replace them with specific facts wherever possible:
Link to original sources when referring to external research, legislation or standards. Name the organisation, use the most direct source available and check that the information is still current.
Dates are important too. Display when time-sensitive articles were published and reviewed. If an article is updated, make meaningful corrections rather than changing the date without revisiting the content.
An AI system may reuse a single fact or passage outside the context of the whole article. Clear sourcing and carefully qualified claims reduce the risk of that information becoming misleading.
Search and AI systems encounter information about your organisation in many places. Conflicting details create ambiguity.
Keep important facts consistent across your website and external profiles:
Give the organisation a substantial About page and give important specialists individual profile pages where appropriate. Connect case studies and articles to the people who worked on them.
Relevant structured data can help machines understand relationships between an organisation, its people, articles, services and locations. It should accurately represent content that visitors can see; it should not be used to invent credentials or make hidden claims.
Good structure helps people scan a page and helps search systems identify relevant passages.
Use:
This does not mean reducing every subject to shallow bullet points. Detailed explanation and nuance are still valuable. The aim is to make each section understandable without forcing the reader to unravel an enormous block of text.
Answer the exact question promised by the heading. If a section asks “Is E-E-A-T a ranking factor?”, give the answer immediately and then explain it.
Excellent content cannot perform if search systems cannot reach or process it.
Check that:
robots.txtIf you want visibility in ChatGPT search, review access for OAI-SearchBot. This is separate from controlling whether content is used to train OpenAI’s generative models.
Google likewise says there is no need to create special AI text files or AI-specific markup for its Search features. Technical SEO still matters, but it supports the content rather than replacing it.
Structured data helps search engines classify content and understand entities. Depending on the page, useful types may include:
Organization or an appropriate local business typePersonArticleProductServiceBreadcrumbListWebSite and WebPageMake sure the marked-up information matches the visible page. Use stable identifiers to connect related entities and validate the implementation.
Structured data can improve understanding and eligibility for supported search features, but it is not proof of expertise. Adding Person markup does not make an author qualified, just as adding review markup does not make a testimonial genuine.
There is currently no special “AI visibility” schema that guarantees citations.
AI can help research, organise and edit content. The problem arises when it is used to publish large volumes of material that nobody with relevant knowledge has checked or improved.
Google’s guidance on generative AI content focuses on accuracy, quality and relevance. Generating many low-value pages primarily to manipulate rankings may breach its spam policies.
If you use AI, add what only your organisation can supply:
Disclosure may be appropriate when readers would reasonably want to understand how automation contributed. Whatever tools are involved, a named person or organisation should take responsibility for what is published.
Trustworthy content is not a one-off project.
Create a review schedule for pages containing legislation, prices, statistics, software instructions or changing industry guidance. Record the owner of each important page and give visitors a useful “last reviewed” date where freshness matters.
Fix broken links, replace superseded sources and update screenshots when interfaces change. If advice is no longer correct, revise it or remove it rather than leaving several contradictory versions online.
Clear version control is particularly useful for technical, medical, legal and financial information, where outdated guidance can cause real harm.

Traditional rank tracking is still useful, but it does not tell the whole story.
Build a fixed list of questions your prospective customers genuinely ask. Test those questions periodically across the AI-search platforms that matter to your audience and record:
Keep the wording and testing conditions consistent enough to observe changes, but remember that generative answers can vary between users, sessions and models.
The platforms are also beginning to provide better data. Google introduced dedicated generative AI visibility reporting in Search Console in 2026, while Bing Webmaster Tools’ AI Performance report shows citations, cited pages and sampled grounding queries across supported Microsoft AI experiences.
OpenAI says referral visits from ChatGPT search can be tracked in analytics. Monitor these visits alongside enquiries, sales, sign-ups and other meaningful outcomes rather than treating a brand mention as the final objective.
Ask the following questions about your website:
E-E-A-T is not a shortcut for ranking in Google or appearing in an AI answer. It is a way to examine whether your website clearly demonstrates why people—and machines acting on their behalf—should trust it.
Show the work you have genuinely done. Put knowledgeable people behind your content. Support claims with evidence. Build recognition beyond your own domain. Keep your facts consistent, accessible and current.
Those improvements serve more than an algorithm. They help prospective customers understand your value and feel confident about choosing you.
At Made Simple Media, we build websites with strong technical foundations, clear content structures and measurable business goals. If you want to improve your organic rankings and make your expertise easier for AI-powered search tools to discover, book a free discovery call.
Our E-E-A-T Checklist is a practical, printable audit for strengthening organic SEO and visibility in AI-generated search answers.
Download using the link below:
Article by David Reeder. LinkedIn Profile: https://www.linkedin.com/in/david-e-reeder/
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