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AI Evaluates Brands Based on Web Signals, Not Marketing Spend

AI Evaluates Brands Based on Web Signals, Not Marketing Spend

AI systems are now evaluating brands based on the quality, consistency, and credibility of signals present across the open web, rather than traditional marketing expenditures. This shift is driven by the increasing reliance on AI for brand discovery, with approximately 50% of web users now employing LLMs for searches. Projections indicate a 50% decline in organic search by 2028, highlighting the growing importance of machine-readable brand differentiation. AI-qualified visitors are noted to be 4.4 times more valuable than those from traditional search traffic, according to Semrush data.

The customer journey is increasingly being influenced by AI systems that can evaluate brands within milliseconds, processing thousands of signals concurrently. Brands that excel in this new landscape are those that execute fundamental principles exceptionally well, adapting to a changed evaluator. The principles of strong branding remain, but the method of assessment has evolved significantly.

Research conducted with Semrush's dataset, which analyzed millions of prompts across numerous categories, identified four key variables that most influence how AI systems perceive and recommend brands. This analysis revealed that a majority of brands are underdeveloped in at least two of these critical areas. The first identified lever is coherence, which pertains to the presentation of a consistent and differentiated narrative that is both easily understood by humans and accurately interpretable by AI systems.

Notion, a rapidly expanding B2B brand, serves as an example of strong AI-driven brand recognition. The company generates over 96,000 AI mentions monthly, reaching an audience of 575 million. This success is attributed to its value proposition being so closely aligned with its product experience that AI systems consistently describe the brand in similar terms across 15 different countries and multiple platforms. This machine-readable differentiation is becoming paramount for brand visibility in an AI-mediated world.

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