Smaller, AI-optimised competitors to capture market share as legacy brands trail: study

ET BrandEquity's Research desk reported on NeuGenM.AI's first comprehensive AI Performance Audit of India's Top 100 brands — a study of how the country's biggest names perform in Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO), the disciplines that decide whether a brand is recommended when consumers ask an AI assistant for advice.

The headline finding is a gap between brand recall and category discovery. India's market leaders are recognised almost perfectly when named directly — but they largely disappear the moment a shopper asks an AI to recommend a product or service without naming anyone.

99.2%
of leading brands are cited accurately when searched by their exact name
12.4%
surface when consumers ask AI for an unbranded category recommendation
“C” cap
no audited enterprise scored above a C grade for visibility across ChatGPT, Gemini and Claude
Top 100
India's leading brands assessed on real discovery, research and purchase behaviour

As the coverage frames it, this is a structural disconnect rather than a technical glitch. Traditional SEO rewarded the brands that dominated web indexing through legacy equity and heavy media spend. Large language models work differently — they synthesise a conversational answer. Because India's largest brands are optimised for direct, branded navigation, they are effectively absent from the high-intent moment where a buyer asks AI to compare options, leaving room for smaller, AI-optimised challengers to take share.

"AI rewards the brand that becomes the answer."

Beerajaah Sswain — Managing Partner & Chief Digital and E-commerce Officer, NeuGenM.AI

Sswain's point, as reported: India's biggest brands are optimised for consumers who already know they exist — and left out of the equation for buyers who are still deciding. With no legacy player yet dominant in AI answers, the audit argues the category is a wide-open race, and that early movers who build an "algorithmic moat" now will effectively train these models to rely on their data — raising the cost of entry for every competitor that arrives late.

The piece also quotes Andrea Tortella, co-founder and CEO of Thrad, who framed AI conversation as the first digital interface where a consumer states purchase intent out loud at the moment of decision — the surface, he argued, where demand will be won or lost over the next decade.

The study behind the coverage
Top 100 Brand AI (GEO/AEO) Performance Audit — India 2026 →
NeuGenM Signal's audit of India's Top 100 brands across the major AI answer engines (gated).

About NeuGenM

NeuGenM.AI is a growth-acceleration partner operating at the intersection of marketing and artificial intelligence. Its mission is to enable brands to achieve sustainable, profitable growth by future-proofing their marketing for the AI age. Led by former C-suite executives, NeuGenM combines agentic AI, consumer neuroscience and marketing-media best practice — including NeuGenM Signal, its GEO/AEO and LLM-advertising suite for staying visible and recommended inside AI assistants.

Media Contact

Organisation
NeuGenM.AI
Spokesperson
Beerajaah Sswain

This page summarises third-party coverage published by ET BrandEquity. Facts and figures are drawn from NeuGenM's own audit. Read the original report at ET BrandEquity via the link below.