NeuGenM.AI's first AI (GEO/AEO) Performance Audit of India's Top 100 brands found that 99.2% are invisible in AI recommendations, with none scoring higher than a 'C' grade. The company has launched The NeuGenM Signal to help brands improve AI visibility.
TL;DR
- NeuGenM.AI's audit shows 99.2% of India's top brands are invisible in AI recommendations, with none scoring higher than a 'C' grade.
- The NeuGenM Signal suite is designed to help brands improve their visibility in AI-driven discovery.
- Legacy brands are struggling with AI visibility due to outdated content architectures, while D2C brands are outperforming them by 2.4 times.
What happened
NeuGenM.AI recently published the first AI (GEO/AEO) Performance Audit of India's Top 100 brands, revealing that while 99.2% are cited in exact name searches, only 12.4% appear in AI recommendations within their category. No brand scored higher than a 'C' grade.
The audit used a proprietary methodology called the India AI Readiness Score™, which measures brands across five pillars: GEO Presence, Content Readiness, AI Share of Voice, Vernacular Coverage, and Sentiment Alignment. The audit involved over 20,000 data points across 100 brands and eight industry verticals.
NeuGenM.AI also launched The NeuGenM Signal, a suite of tools designed to help brands improve their visibility in AI-driven discovery. The suite includes a GEO (Generative Engine Optimisation) platform, an AI engine called Cortex.ai, and a unified data platform called NeuGenM Sigma.
Why it matters
The audit highlights a significant structural blind spot for legacy brands in India. While they may still perform well in direct, branded searches, they are largely absent in category-led discovery, where consumers ask AI engines for recommendations.
This absence is particularly concerning given the increasing use of AI tools like ChatGPT, Gemini, and Claude for purchase decisions. Legacy brands risk ceding ground to nimbler, AI-optimized competitors at the exact moment purchase intent peaks.
The launch of The NeuGenM Signal provides a potential solution for brands looking to improve their AI visibility. The suite is designed to help brands make their content LLM-digestible, ensuring they can be understood and recommended by AI engines.
Key facts
- Only 12.4% of India's top 100 brands appear in AI recommendations within their category.
- No brand scored higher than a 'C' grade in NeuGenM.AI's audit.
- D2C brands outperformed legacy FMCG brands by 2.4 times on AI readiness.
- The audit involved over 20,000 data points across 100 brands and eight industry verticals.
- The NeuGenM Signal suite includes a GEO platform, an AI engine called Cortex.ai, and a unified data platform called NeuGenM Sigma.
- NeuGenM.AI's methodology is designed to deliver measurable improvements within 48 hours of deployment for schema-level fixes, with full content architecture overhauls completing within 8 to 12 weeks.
- NeuGenM.AI's founders, Amrit Thomas and Ashish Thukral, are C-suite veterans with decades of experience in marketing and digital transformation.
- The NeuGenM Sigma platform integrates over 300 data source connectors and is compliant with India's DPDP Act requirements.
Context
The findings of NeuGenM.AI's audit underscore the growing importance of AI visibility for brands. As consumers increasingly turn to AI tools for recommendations, brands that are not optimized for AI discovery risk being left behind.
The launch of The NeuGenM Signal is a response to this growing need. The suite is designed to help brands make their content LLM-digestible, ensuring they can be understood and recommended by AI engines.
The audit also highlights the structural advantages that legacy brands have, such as brand trust, distribution networks, and marketing budgets. However, these advantages are not enough to ensure AI visibility. Brands must also have content architectures that are optimized for AI discovery.