What E-E-A-T actually is
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust, and it comes from Google's Search Quality Rater Guidelines, a document used to train human evaluators who assess whether search results are good. Raters do not directly change rankings; their judgments inform how Google's systems are built and tuned.
That distinction matters because it rules out the common mistake of treating E-E-A-T as a checklist to game. There is no E-E-A-T score. There are only signals that make it easy or hard for a system to conclude that a real, competent, accountable business produced the page.
Experience — the E that most sites skip
First-hand experience is the differentiator small businesses have over content farms and generated text:
- Photos of your own work rather than stock imagery
- Specific jobs described with the conditions, the constraint, and what you chose to do
- Numbers from your own accounts, dated and caveated
- Local detail an outsider could not fabricate: permit quirks, soil, climate, traffic patterns, seasonal demand
- Opinions with a stated reason, including where you disagree with common advice
Trust is the one that carries the most weight
Google has stated Trust is the most important member of the family, and it is largely a site-hygiene problem rather than a content problem. A full physical address and a working phone number, a real contact page, transparent terms and privacy pages, clear pricing or a clear reason there is none, no misleading claims, no fabricated testimonials, and accurate NAP details that match every other listing.
For a local service business, a wrong phone number in the footer does more damage to trust signals than any amount of content investment can compensate for.
Why this matters more with AI assistants
Assistants that summarize the web have to decide whose answer to repeat. They lean on the same evidence: named authors, corroborating third-party sources, structured markup that identifies the entity, and consistency across mentions.
A site with an anonymous byline and no external corroboration is difficult to cite safely, so it does not get cited. The businesses being recommended inside ChatGPT and similar tools tend to be the ones that made themselves easy to verify.
A short implementation list
If you do nothing else this quarter:
- Put a named author with a photo, bio, and credentials on every content page
- Add Person and Organization schema, linked by ID, with sameAs profiles
- Publish one piece of genuinely first-hand content with your own photos and numbers
- Verify NAP consistency across your site, your Google profile, and your top ten citations
- Complete profiles on two or three third-party platforms your industry is judged on
- Audit for any claim on the site you cannot back up, and remove it