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3.4Intermediate9 min

E-E-A-T On-Page: 85% of AI Citations Show 3+ E-E-A-T Signals

Lucas Blochberger··Updated 11 June 2026
Definition

E-E-A-T is not a ranking score (Danny Sullivan: "Not a thing") but algorithmic proxies make it functionally one of the most important ranking influences. Analysis of 10,000+ AI Overview citations shows: approximately 85 percent of cited sources exhibit at least 3 of 4 strong E-E-A-T signals.

Key Takeaways

  • ✓Approx. 85% of AI citations show at least 3 of 4 strong E-E-A-T signals
  • ✓December 2025 core update: Strong weighting of Experience (first-hand)
  • ✓Experience websites: 25-40% ranking improvement after experience addition
  • ✓January 2025 QRG: AI content rated "Lowest" when without effort/originality
  • ✓September 2025 QRG: YMYL expanded to include elections, institutions, public trust
  • ✓Approx. 16,000 quality raters worldwide
  • ✓Approx. 16,000 Quality Raters worldwide

E-E-A-T is the foundation for both rankings and AI citations — and the December 2025 update moved Experience to the forefront.

Trust at the Center

Experience, Expertise, and Authoritativeness exist to establish Trust. The December 2025 core update placed strong emphasis on Experience — beyond theoretical expertise to tangible proof of firsthand involvement. Google recognizes Experience through specific details, original assets, and proprietary methodologies.

Author Entity Optimization

Google's Knowledge Graph contains 500+ billion facts about 5+ billion entities. Build Author Entities: Person Schema with alumniOf, affiliation, hasCredential, and sameAs. Consistent cross-platform identity. Wikipedia/Wikidata presence.

Enterprise E-E-A-T Strategy

Four layers: Content Governance (Editorial Policies, Fact-Checking). Author Programs (recognized experts with Knowledge Graph presence). Original Research (proprietary data, case studies). Technical Implementation (Organization, Person, Article Schema).

GEO Connection

Brands cited in AI Overviews receive 35 percent higher CTR. Content with expert quotes and statistics: 30-40 percent visibility lift in AI citations.

Data & Statistics

GEO-Methoden steigern die Sichtbarkeit in generativen Antworten um bis zu 40 Prozent; Benchmark mit 10.000 Suchanfragen; staerkste On-Page-Taktiken: Quotation Addition ~27,8 %, Statistics Addition ~25,9 %, Cite Sources ~24,9 % (Position-Adjusted Word Count)

Aggarwal et al., GEO: Generative Engine Optimization, arXiv:2311.09735, KDD 2024 (Princeton University / The Allen Institute for AI / Georgia Tech / IIT Delhi) (2024)

+30 bis 40 % je Taktik (Cite Sources / Quotation Addition / Statistics Addition); bis +115,1 % Sichtbarkeit fuer Seiten auf Position 5 via Cite Sources

DerivateX, Princeton's GEO Paper in Plain English (Zusammenfassung der Princeton-GEO-Studie, Aggarwal et al.) (2024)

Trust ist das wichtigste Element der E-E-A-T-Familie; Stand 11. September 2025; 182 Seiten

Google, Search Quality Rater Guidelines: General Guidelines (offizielles PDF) (2025)

JSON-LD-Nutzung 41 % der Seiten 2024 (gegenueber 34 % 2022); Organization-Schema 7,16 % und LocalBusiness 3,97 % der mobilen Seiten

HTTP Archive Web Almanac 2024, Kapitel Structured Data (2024)

20 % der oesterreichischen Unternehmen ab zehn Beschaeftigten nutzen KI (2024) gegenueber knapp 11 % im Vorjahr (2023); Dienstleistungsbereich 23 %; Information und Kommunikation 61 %

Statistik Austria, Erhebung ueber den IKT-Einsatz in Unternehmen 2024 (2024)

65 % der KI-nutzenden Unternehmen setzen KI zur Texterkennung und -verarbeitung ein; 41 % zur Sprachgenerierung

Statistik Austria, Pressemitteilung 13 449-215/24, Nutzung von kuenstlicher Intelligenz in Unternehmen innerhalb eines Jahres fast verdoppelt (2024)

Seiten auf Seite eins enthalten 65 bis 85 % ihrer Ranking-Keywords im Title Tag; Title Tags zwischen 15 und 40 Zeichen haben die hoechste CTR

SEOSherpa, zitiert Backlinko (Brian Dean), Analyse von einer Million Google-Ergebnissen (2024)

FAQ

Is E-E-A-T a ranking factor at Google?
No, not as a single score. Google spokesperson Danny Sullivan has clarified that there is no E-E-A-T ranking score. However, Google uses numerous algorithmic proxies such as author signals, source citations, and trust elements that functionally make E-E-A-T one of the most important ranking influences. In the official Search Quality Rater Guidelines of September 11, 2025, Trust is explicitly the most important element of the E-E-A-T family.
Which on-page measures most strongly improve visibility in AI answers?
According to the Princeton GEO study, the most effective tactics are content-related: adding concise quotes, concrete statistics with sources, and explicit source citations. These measures increase visibility in generative answers by around 30 to 40 percent per tactic, and for weaker-ranking pages at position 5, even up to 115.1 percent through the cite-sources tactic.
Which E-E-A-T signals specifically belong in the page template?
Four signal groups should be included in every content template: an author box with name, role, and link to profile page; source citations as inline links to primary sources; date and update stamps for timeliness; and clearly linked trust pages such as imprint, contact, and about us. These elements directly and visibly address Experience, Expertise, Authoritativeness, and Trust.
Which schema markup supports E-E-A-T?
Particularly relevant are Person schema with sameAs links to LinkedIn or Wikidata, Article schema with author and optionally reviewer, Organization schema for the publishing brand, and AboutPage for the about-us page. This combination is a differentiator in the DACH region, as Organization schema appears on only 7.16 percent and LocalBusiness on only 3.97 percent of mobile pages.
Which legal trust elements are mandatory in Austria and simultaneously E-E-A-T-relevant?
In Austria, a complete imprint according to Media Law and E-Commerce Law as well as a GDPR-compliant privacy policy are mandatory. Both mandatory elements are simultaneously strong trust signals for Google and LLMs. A clearly linked, complete imprint and transparent privacy information measurably and favorably elevate the trust level.
How do you make first-hand experience visible for AI search?
Through original content instead of reproduced platitudes: own case numbers, screenshots of real projects, documented procedures, and quotes from one's own practice. Since in Austria 65 percent of AI-using companies employ text tools for text recognition and 41 percent for language generation, generic standard text becomes mass-produced. Demonstrable experience is what sets a page apart.
How do you measure the impact of E-E-A-T on-page?
There is no single score, but several indicators: the frequency of citations in AI Overviews and chat engines, visibility comparisons before and after adding quotes and statistics, featured snippet wins, error-free validation of schema markup, and user engagement signals such as dwell time and return rate.

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