James Maley, Group Commercial Director at EMNA AI, and Jodie Millward, Sales Director at Tradedoubler, detailed the fundamental shift in how consumers discover brands during a webinar on October 24, 2024. AI-driven search no longer represents niche behavior. Google AI Overviews now reach 2 billion monthly users.
This shift moves affiliate marketers and brand managers away from traditional search engine results pages (SERPs) toward curated, AI-generated answers. Data cited during the session shows 67% of Millennials have replaced traditional search engines with GenAI tools for product recommendations. Furthermore, 62% of consumers trust AI to guide their brand decisions.
Zero-click Environments Replace Traditional SEO
AI-led discovery introduces a challenge for performance marketing: the zero-click environment. In this model, AI tools condense research from various sources into a single response. This often eliminates the need for a user to click through to a brand's website.
James Maley noted that the focus on keyword ranking is becoming obsolete. Marketers must now ensure that AI models have enough data points to understand and recommend a brand. This strategy requires a deep understanding of prompts, which are the specific questions consumers ask when researching products. If a brand is missing from the data sets that inform these prompt groups, the AI cannot recommend it.
Instead of asking if we are ranking, the question becomes does AI have enough information to understand, compare, and recommend your brand?
Context and Credibility Over Keywords
The panel explained that content now functions across three layers: prompts, context, and sources. While search engine optimization (SEO) previously focused on keywords, AI optimization (AIO) analyzes how a brand positions itself relative to competitors.
Maley argued that a brand can appear in an AI answer without being the recommended choice. Context becomes vital here. AI models synthesize information to describe and compare brands. Consequently, the surrounding sentiment and the variety of data points determine whether the AI frames a brand as a leader or an afterthought.
High-Authority Sources Drive AI Recommendations
Because AI models rely on a wide search net to gather information, the credibility of the citing sources is critical. Marketers must diversify their presence across authoritative platforms, review sites, and affiliate networks. AI blends and rewrites content. Therefore, maintaining a consistent presence across multiple high-authority sources increases the likelihood that AI will cite a brand as a reliable recommendation.
Marketers should move beyond tracking clicks. Analyzing how AI outputs describe a brand ensures that the machine's understanding aligns with actual market positioning.
Affilitizer Editorial Team
This article was created with AI assistance and editorially reviewed.
