Experience, Expertise, Authoritativeness and Trust (EEAT) is the framework Google’s Search Quality Raters use when evaluating content. EEAT is not a direct ranking factor, but the signals it describes do influence rankings. The March 2026 core update made EEAT signals more impactful than at any point since the framework was introduced.
This guide covers the practical EEAT signals that move rankings, how to build them across a site, and what to avoid.
The four signals explained
Experience. Added to the framework in late 2022. Indicates first-hand experience with the subject matter. For a product review, did the reviewer actually use the product? For a how-to guide, did the writer actually perform the steps? Photos, screenshots, videos and personal anecdotes from real use signal experience.
Expertise. Indicates subject matter knowledge. Credentials, professional background, publication history, and demonstrable skill in the subject area. Medical content from doctors, legal content from lawyers, financial content from credentialed advisors.
Authoritativeness. External signals indicating the source is recognised as a leading voice in the field. Citations from other authoritative sites, mentions in news, presence in Wikipedia, recognised in industry awards or rankings.
Trust. The most important of the four per Google’s guidelines. Signals that the site is legitimate, transparent, and reliable. Clear ownership disclosure, contact information, returns and refund policies, no manipulative tactics.
Author entity signals
Every important page should have a real author byline. Implementing author entities properly:
Author bio page for each writer. Real name, professional headshot, biographical text explaining credentials and experience, links to professional profiles (LinkedIn, X, personal website).
Author archive page listing all content by that author. WordPress and most CMSs generate these automatically.
Schema.org Person markup on author bios. Critical properties: name, url, jobTitle, worksFor (Organization), sameAs (array of profile URLs including LinkedIn, X, GitHub, ORCID for academics).
Author bylines on every article linking to the author bio. Schema.org Article markup with author property referencing the Person entity.
Authors who exist outside the site as recognisable figures get more EEAT weight. An author with a strong LinkedIn presence, podcast appearances, or industry conference speaking engagements signals authority beyond the site itself.
Organisation entity signals
Beyond individual authors, the publishing organisation builds entity signals:
About page with substance. Founding story, leadership team with photos and bios, office location (if applicable), company history. Not boilerplate.
Schema.org Organization markup on the homepage or About page. Properties: name, url, logo, sameAs (social profile URLs), foundingDate, founders, address, contactPoint.
Knowledge Graph entity. Get the organisation into Knowledge Graph through Wikipedia entry (if notability supports), Wikidata entry (often easier to create), and consistent NAP (name, address, phone) across the web.
Press coverage and external citations. Each mention in industry publications strengthens entity recognition. Active PR strategy compounds over time.
Trust signals
The technical trust signals that should be in place on every site:
HTTPS across the full site with valid SSL certificate. No mixed content warnings.
Privacy policy, cookie policy, terms of service. Accessible in the footer. Updated when policies actually change.
Clear contact information. Email, phone, physical address where relevant. Not a contact form alone.
Returns and refund policies for ecommerce. Customer service expectations explicit.
Reviews and testimonials with verifiable details. Photos, full names, links to LinkedIn profiles where appropriate. Generic stock-photo testimonials hurt more than help.
Trust badges where genuine. SSL certificates from major providers, payment provider badges (Stripe, PayPal), industry certifications (PCI compliance, ISO 27001, SOC 2 for B2B SaaS).
Experience signals in content
The Experience signal added in 2022 is increasingly the differentiator between content that ranks and content that does not. Practical applications:
For product reviews: original photos of the actual product, not stock images. Screenshots from real product use, not marketing materials. Specific details that only someone who used the product would know. “Setup took 22 minutes including DNS propagation wait” reads differently from “Setup is quick and easy”.
For how-to content: step-by-step screenshots from your actual process. Acknowledgement of common errors or gotchas. Real timings rather than vague estimates.
For case studies: specific company names, real numbers, dates, charts from actual analytics. Anonymous case studies signal lower experience.
For service businesses: original photos of work, named clients (with permission), specific outcomes with attribution to your work.
Expertise signals beyond credentials
For some topics, formal credentials matter (medical, legal, financial). For most others, demonstrated expertise matters more than credentials.
Original frameworks and methodologies. Sites that have invented terms, frameworks, or systems that others adopt signal high expertise.
Detailed technical depth. Content that goes 3 levels deeper than competitors signals expertise even without explicit credentials.
Engagement with the broader community. Conference talks, podcast appearances, comments on industry publications, contributions to open source where relevant. All visible signals of active participation in the field.
Track record over time. Sites with multiple years of consistent publication in a specific niche outperform new entrants. Domain age and historical content depth contribute to expertise perception.
Authoritativeness through external signals
Authority is conferred from outside, not claimed from inside. The activities that build it:
Get cited by other authoritative sites. Earn mentions in industry publications, journalist quotes, podcast guest appearances. Each citation is a vote.
Win industry awards or recognition. Even niche awards add authority signals. Highlight them on your site with logos and links to the award source.
Build Wikipedia and Wikidata presence where possible. Wikipedia notability is high bar; Wikidata is more accessible. Both contribute to Knowledge Graph entity recognition.
Participate in industry research. Quote in articles, contribute to surveys, partner with research firms. The cited expert role builds authority over years.
Common EEAT mistakes
Stock photo authors. AI-generated author headshots, made-up names, generic biographies. Detectable by reverse image search and increasingly by Google’s own systems. Hurts rather than helps.
Inflated credentials. Listing credentials that cannot be verified or that are misleading. The risk of being caught outweighs any rankings benefit.
Content marked as expert authored but obviously not expert authored. If a doctor’s byline tops a medical article that reads as if it was written by a generalist content writer with AI assistance, Google detects the mismatch.
Generic “team” bylines on technical content. Without named individuals, the EEAT signal is much weaker. Either commit to attributing content to real experts or accept reduced EEAT.
External signals that look manufactured. Fake testimonials, paid reviews, manipulated press coverage. The reputation cost of being caught is high.
Building EEAT over time
EEAT compounds. A new site with strong content but no external signals starts weak and grows. A site with 5 years of consistent expert content, named authors active in the industry, and external citations has a moat competitors cannot easily replicate.
Practical 12-month plan: every important page gets a real author byline within 3 months. Author bios with full schema markup within 6 months. Active PR strategy securing 1 to 2 external citations per month within 9 months. Author conference talks or podcast appearances within 12 months.
Sites that follow this pattern survive core updates. Sites that skip the work scramble when the algorithm rewards EEAT and they have none to show.
What to expect
EEAT improvements show in rankings during core updates, not between them. Building signals between January and May 2026 paid off during the May 2026 core update. Sites that did the work saw partial recovery during that update.
The Trust signal carries the most weight. Get the foundational trust elements in place (HTTPS, policies, contact, transparent ownership) before optimising the others.
Experience is the most discriminating signal in 2026. AI-generated content can simulate Expertise and Authoritativeness reasonably well. It cannot simulate first-hand experience. Original photos, real testing, named clients with verifiable detail are the durable competitive advantages.