The rapid development of AI-driven search technologies is reshaping traditional Search Engine Optimisation (SEO), creating new challenges and opportunities for startup businesses. This study examines how AI-driven search influences on-page and off-page SEO practices, the role of E-E-A-T (Experience, Expertise, Authoritativeness and Trustworthiness) in establishing credibility and search visibility, and how startups can adapt their SEO strategies to remain competitive. A literature-based research approach was adopted to synthesise existing research on AI-driven search, SEO, E-E-A-T, digital trust and startup constraints. The findings indicate a shift from traditional ranking-based SEO towards a selection-based model, where visibility increasingly depends on inclusion within AI-generated responses. E-E-A-T has also become increasingly important as AI systems rely on credibility and authority signals when selecting and presenting information. However, startups face significant constraints, including limited resources, weaker domain authority and difficulty establishing credible signals. The study suggests that startups can respond through structured, intent-driven content, Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), and targeted credibility-building strategies. Overall, the study demonstrates that competitiveness in AI-driven search requires startups to align technical optimisation, content quality and E-E-A-T signals with the way AI systems evaluate and recommend information.
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- Subin Chaulagain (Autor:in), 2026, Exploring the Impact of AI-Driven Search Technologies on SEO Strategies for Startup Businesses through the Lens of E-E-A-T, München, GRIN Verlag, https://www.grin.com/document/1749694
