EEAT Is Stricter in the AI Era: Why Should Models Trust You
Experience, expertise, authoritativeness, trust — in the search era these four words were scoring items; in the AI era they are a threshold. Without a verifiable identity and source, even the clearest writing may not be cited.
In one sentence: the model is making an implicit credibility judgment — who actually seems to understand this subject.
1. Four letters, four questions
| Dimension | What the model is asking | What should appear on the page |
|---|---|---|
| Experience | Have you really done it or used it? | Project details, pitfalls encountered, measured data |
| Expertise | Do you understand this problem? | Definitions, terminology, boundary conditions, method steps |
| Authoritativeness | Do others recognize you? | Customers, case studies, third-party mentions, organizational information |
| Trust | Can your statements be verified? | Data sources, update time, contact information, no exaggeration |
2. Three of the least useful phrases
"Industry-leading," "trustworthy," "many years of deep expertise" — these three phrases carry almost no information for a model, because they can neither be verified nor distinguished.
Replace them:
· "Served 120 foreign trade factories, 38 of which make outdoor furniture" is more useful than "many years of deep expertise";
· "Average inquiry response time: 4 hours" is more useful than "rapid response";
· "28 templates, including 13 B2B and 15 B2C" is more useful than "rich template library."
3. Make credibility structural, not adjectival
① Author and organization: who wrote it, what background, how to get in touch;
② Data: every key figure followed by its source and statistical period;
③ Cases: state the scenario, what was done, and the results — don't just put up a logo wall;
④ Boundaries: explain who it suits, who it doesn't, and under what conditions it works;
⑤ Version awareness: show the last update time on the page, and revise outdated conclusions.
4. Not exaggerating gets rewarded
Many people think the more absolute the writing, the more persuasive it is — in fact the opposite is true. Pages that clearly state "under what circumstances this solution does not apply" are more likely to be treated as reliable sources, because they show the author knows where the boundaries are.
Before publishing, ask five questions: Who wrote this? What is the basis for the judgment? Where does the data come from? Who is it for? When was it last updated? If you can't answer all five, don't publish it yet.
