rAsh Score Weekly: Tech Giants Anchor LLM Dominance as Indian Health and EdTech Surge

Welcome to the weekly rAsh Score report for the week of September 12, 2026. As the definitive benchmark measuring how visible and positively perceived brands are across major Large Language Models (LLMs) in India, this week’s data highlights a widening gap between global technology conglomerates and domestic consumer brands, alongside rapid volatility in the healthcare and edtech sectors.

Executive Summary

The LLM landscape remains heavily anchored by global technology giants, with Apple and Samsung commanding the highest share of voice and sentiment. However, the mid-tier rankings saw intense movement this week. We observed a significant surge in visibility for Indian digital healthcare and executive edtech platforms, contrasted by a sharp decline in legacy FMCG and niche consumer electronics brands.

The Top 5 Brands: Global Tech Monopolizes AI Mindshare

The overall leaderboard demonstrates the compounding advantage of structured, high-authority web footprints in LLM training and retrieval-augmented generation (RAG) datasets.

• Apple (Mobile Phones) – Score: 89/100
• Samsung (Mobile Phones) – Score: 87/100
• Samsung (Home Appliances) – Score: 85/100
• Samsung (Consumer Electronics) – Score: 82/100
• Google (Mobile Phones) – Score: 82/100

Key Takeaway

Samsung’s multi-category dominance (holding three of the top five spots) highlights the power of a unified brand architecture. LLMs synthesize information by associating brand authority across diverse product lines. Apple maintains the absolute peak score of 89, driven by highly consistent, positive sentiment in user reviews and tech journalism ingested by AI models.

Top 5 Improvers: Healthcare and EdTech Rise

The biggest gainers this week reflect a shift in how LLMs retrieve informational and transactional queries in specialized sectors.

• Eruditus (Edtech) – Score: 57 (Up +11)
• Narayana Health (Healthcare) – Score: 61 (Up +10)
• 1mg (Tata Health) (Healthcare) – Score: 63 (Up +10)
• Emeritus (Edtech) – Score: 59 (Up +10)
• PharmEasy (Healthcare) – Score: 52 (Up +8)

Analysis

The upward trajectory of Eruditus and Emeritus suggests recent algorithmic updates or database refreshes prioritizing accredited, executive-level educational content. In healthcare, 1mg, Narayana Health, and PharmEasy benefited from a surge in structured medical queries. As LLMs increasingly integrate with real-time APIs for healthcare recommendations, brands with clean, schema-optimized digital directories are winning the visibility race.

Top 5 Decliners: FMCG and Niche Tech Slump

A lack of conversational optimization and recent negative press cycles can rapidly depress a brand's LLM index.

• Parle (Food & Beverage) – Score: 55 (Down -13)
• Simplilearn (Edtech) – Score: 49 (Down -9)
• Bira 91 (Food & Beverage) – Score: 51 (Down -7)
• Patanjali (FMCG) – Score: 41 (Down -7)
• Realme (Mobile Phones) – Score: 52 (Down -7)

Analysis

Parle and Patanjali suffered notable drops. Legacy FMCG brands often lack the highly structured, conversational web data that LLMs rely on for product recommendations, making them vulnerable to algorithmic shifts. Realme's decline indicates a dilution in search-to-synthesis relevance, losing ground to dominant players like Samsung in AI-generated comparison prompts.

The Road Ahead: The LLMO Imperative

As conversational AI search engines (like Perplexity, SearchGPT, and Gemini) replace traditional keyword search, Large Language Model Optimization (LLMO) is no longer optional. Brands must actively manage their unstructured data footprint, ensure robust sentiment across tech forums, and maintain highly structured product schemas to remain visible in the AI-first era.