What is E-E-A-T, and how does it relate to AI answers?

E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness, written in Google's Arabic page as «التجربة والخبرة والمصداقية والموثوقية». They are aspects Google's systems look for in content to judge whether it can be relied on.

Google says trust is the most important of the four, that the other three contribute to it, and that content does not have to show all of them: some content is helpful because of the experience it shows, other content because of the expertise it shares.

It used to be three letters, E-A-T, until Google added experience in its quality rater guidelines on 15 December 2022. Its example: someone who wants to know how to fill in a tax return looks for content written by an accounting expert, while someone comparing tax software may get more from a discussion among people who have used it. The term is one of the entries in the Tasadr glossary.

No. Google says E-E-A-T itself is not a specific ranking factor, but its systems use a mix of factors that can identify content with good E-E-A-T, and give that content even more weight on what it calls "Your Money or Your Life" topics, YMYL for short: topics that could significantly affect people's health, financial stability or safety.

Google uses search quality raters who read results and judge their E-E-A-T against published guidelines, but it says raters have no control over how pages rank and that their data is not used directly in ranking algorithms. Their data tells Google whether its systems are working, the way a restaurant uses feedback cards from its diners.

So anyone offering you an "E-E-A-T score" for your site is offering a number Google neither publishes nor uses under that name.

It shows in how your page answers three questions Google suggests every writer ask, who created the content, how and why, along with its sources and dates:

• Who: whether readers can tell who wrote the page, whether it carries a byline where one would be expected, and whether the byline leads to who they are and what they write about.
• How: how the information was gathered, what the writer tried first-hand, and whether automation or AI was used. Google says disclosing that helps where readers would reasonably ask how the content was made.
• Why: to help people first, not to attract search visits. Google says this may be the most important of the three questions.
• Sources and dates: a source for every figure, the date the page was published and last changed in substance, and a way to have mistakes corrected.

In Google, directly. Google says the same SEO best practices apply to its generative AI features, AI Overviews and AI Mode, including creating helpful, reliable, people-first content, and that those features depend on the core ranking systems that focus on high-quality content.

For the other chat engines, such as ChatGPT and Perplexity, we found no published standard by this name in their documentation. But an answer that cites your page puts a link in front of the reader, who can open it and check. A page that says who wrote it, when and on which sources holds up to that check; one that does not may lose the reader's trust even when it is cited.

That is why the steps to lead AI answers in Arabic count it among the factors under the name "clear identity": who writes the page, who stands behind the business, and how to reach them.

We write our guides to the standard this page describes. Since October 2026 every guide has been signed "The Tasadr team" rather than by one person, because the whole team writes, reviews and answers for what it says, and the byline leads to our editorial standard, which says who writes, how we check and how we correct.

Every figure about how engines behave in our guides comes from our own measurements, with its month, and every description of how an engine or platform works goes back to its official documentation. We list those documents, with their titles and dates, in the sources at the foot of every guide, as at the foot of this page.

We use AI tools for research and drafting and say so in our editorial standard. The team then reads every page and checks every figure against its source before publishing, reviews every guide at least once every three months, and changes a page's date only when something in it changes in substance.

We have not invented an author, a photo or a credential. An honest team byline is closer to what Google asks for than a persona with a generated headshot, which is exactly what it warns against.

Five things that show the parts of E-E-A-T on your page, most of them text edits. On money, health and legal topics, add licences and qualifications too, as in how AI answers recommend law and accounting firms.

• A real byline, for a person or a team, leading to a page that says who they are.
• A source for every figure, a date on every page, and a new date only when something changes in substance.
• Evidence of your experience: photos of your work, figures from your projects, examples from your city.
• An About page that says who is behind the business, how to reach it and where it operates.
• A public way to correct mistakes, with the date of each correction.