Jason Barnard Presents the Universal 3 Tier Strategy to E-E-A-T in the AI Era at MarketingProfs “XEO and the Future of Search” - 30 January 2026
Jason Barnard, CEO and founder of Kalicube, presented a strategic framework for implementing Google’s Experience, Expertise, Authoritativeness, and Trustworthiness (E E A T) principles in the AI era during the MarketingProfs and Search Engine Journal online event “XEO and the Future of Search.”
The presentation introduced a structured three tier strategy that helps brands build credibility and machine understanding across search engines and AI assistants as the search ecosystem shifts from traditional ranking systems to AI driven answer engines.
The framework demonstrates how brands can structure their digital presence so that machines consistently recognise them as trustworthy and authoritative entities.
The Universal 3 Tier Strategy for E-E-A-T
During the session, Jason Barnard presented a structured approach to E E A T, moving beyond vague interpretations of it as a ranking factor and positioning it as a strategic framework for building credibility in search and AI.
He explained that the three tier model focuses on creating clear, consistent signals that machines can interpret and verify across the web. By structuring these signals effectively, brands enable search engines and AI systems to understand who they are, what they offer, and why they deserve trust.
This approach aligns with the shift toward entity based search, where algorithms rely on corroborated information from multiple sources to evaluate authority and credibility.
Jason positioned E E A T as the credibility layer that determines which brands AI assistive engines recommend, including platforms such as Google, ChatGPT, and Perplexity. Rather than building authority from scratch, he emphasised that most organisations already possess valuable credibility signals and need to identify, structure, and leverage them effectively.
He introduced a practical framework supported by The Kalicube Process™ and expanded the model by adding Notability and Transparency, reinforcing how machines assess trust beyond traditional E E A T signals.
Key strategic takeaways
Jason provided actionable steps that organisations can implement immediately:
- Leverage existing equity by identifying and amplifying credibility signals already present across the web
- Take control of the narrative by establishing a clear Entity Home and applying a Claim, Frame, Prove approach
- Build algorithmic advocacy by educating AI systems to confidently recommend the brand as the best solution in its market
This shift reflects the evolution from search engines that present options to assistive engines that make decisions on behalf of users.
The slides outlining this framework are available on SlideShare: “Experience, Expertise, Authoritativeness, Trustworthiness - The Universal 3 Tier Strategy to E E A T in the AI Era”
Event Context: XEO and the Future of Search
The webinar “XEO and the Future of Search” introduced the concept of Cross Engine Optimization (XEO), which sits at the intersection of SEO, generative engine optimisation, and AI search strategies.
Organised by MarketingProfs in collaboration with Search Engine Journal, the free online event brought together leading experts to explore how brands can adapt to the changing search landscape and remain visible across both search engines and AI powered platforms.
The event featured two content tracks focused on practical strategies for improving visibility in traditional search results and AI generated responses. Topics covered included content optimisation for AI, authority building, user experience improvements, and measuring performance across earned, owned, and paid channels.
Key Sessions and Speakers
The event featured leading experts who each addressed a specific challenge in AI driven search and Cross Engine Optimization (XEO):
- Andy Crestodina (Orbit Media) delivered the opening keynote, SEO Reality Check: What Broke in 2025 and How to Fix It in 2026, analysing how AI disrupts organic traffic and how marketers can adapt
- Tamara Scott (overQualified) presented Authority as Strategy, explaining how brand storytelling builds authority and differentiates businesses in a crowded digital landscape
- Janet Driscoll Miller (Marketing Mojo) led Beyond SEO: Creating Content for Artificial Intelligence Optimization, focusing on structuring content for AI comprehension and entity recognition
- Jason Barnard (Kalicube) introduced The Universal 3 Tier Strategy to E E A T in the AI Era, providing a framework for building credibility and achieving algorithmic recommendation
- Tom Shapiro (Stratabeat) presented The CMO’s Guide to Generative Engine Optimization, outlining how marketing leaders can invest in AI search strategies for measurable ROI
- Jennifer McDonald (Search Engine Journal) shared Top UX Fixes That Boost SEO and Search Visibility, highlighting how usability and engagement signals influence modern search performance
- Nadya Khoja (Content and Growth Leader) explored Measuring the Balance Between Earned, Owned, and Paid Media, focusing on integrated growth strategies across channels
- Katie Robbert (Trust Insights) delivered Attribution and Proving ROI, explaining how to connect AI visibility to business outcomes through data governance and measurement frameworks
- Dale Bertrand (Fire&Spark) presented Zero Click Conversion Strategies, focusing on capturing demand and proving ROI in a world where clicks are no longer the primary metric
- Wil Reynolds (Seer Interactive) and Andy Crestodina (Orbit Media) hosted an interactive Ask an Expert session, answering live questions on adapting to AI driven search in 2026
Why E E A T Matters in the AI Era
As generative AI and assistive agents become increasingly integrated into search experiences, the ability of machines to clearly understand and trust a brand becomes critical.
Traditional SEO focused primarily on ranking web pages. However, AI driven systems increasingly evaluate entities and their reputations across multiple sources before recommending or selecting them.
Jason Barnard emphasised that organisations must move beyond page level optimisation and focus on building a consistent and verifiable digital identity across the web.
This approach ensures that search engines, knowledge graphs, and AI assistants can confidently interpret and recommend a brand when responding to user queries.
