How LLMs Decide Which Brands to Recommend: Decoding the New Search Algorithm

Date: 09th May 2026, 10:00 AM

Location: Mumbai

AI-powered search is fundamentally changing how brands are discovered, making recommendations more dependent on relevance than rankings. In an authored article, Senthil Kumar Hariram, Founder and Managing Director, FTA Global, explores how large language models (LLMs) evaluate and recommend brands in today's digital ecosystem.

The article explains that unlike traditional search engines, LLMs assess multiple signals such as context, authority, content quality, semantic relationships, and consistency before surfacing a brand in response to user queries. This marks a significant shift from keyword-driven optimisation to structured and intent-led visibility.

Senthil highlights that brands must rethink their digital strategy by creating interconnected content ecosystems that are easily understood by AI systems. Clear information architecture, authoritative content, and contextual relevance are becoming essential factors in influencing AI-generated recommendations.

He also emphasises that visibility is no longer determined solely by rankings but by how effectively a brand is interpreted across AI-driven discovery platforms. Organisations that invest in structured, trustworthy, and well-connected content will be better positioned to earn consistent recommendations from LLMs.

Read the full story here: Link