The LLM Mindshare Index: Global Tech Giants Dominate as EdTech Surges (Week of August 1, 2026)

Executive Summary

This week’s rAsh Score analysis reveals a highly consolidated landscape at the top tier of Large Language Model (LLM) visibility, contrasted with significant volatility among Indian domestic brands. While global technology conglomerates maintain an iron grip on the highest tier of AI recommendation and sentiment, targeted digital footprint optimization has triggered double-digit gains for select Indian EdTech and consumer brands. Conversely, several prominent domestic players experienced notable declines, highlighting the sensitivity of LLM training data and real-time retrieval systems to shifting public narratives.

The Top Tier: Samsung and Apple Lock Down LLM Mindshare

The overall leaderboard continues to be dominated by global hardware and consumer technology giants:

• Apple (mobile-phones) leads the index with a commanding score of 89/100.
• Samsung demonstrates unprecedented multi-category dominance, capturing three of the top five spots: Samsung (mobile-phones) at 87/100, Samsung (home-appliances) at 85/100, and Samsung (consumer-electronics) at 82/100.
• Google (mobile-phones) rounds out the top five at 81/100.

This concentration of high scores indicates that LLMs possess deep, highly structured, and overwhelmingly positive training data regarding these brands. For Indian consumers querying AI assistants for product recommendations, these three brands remain the default, highly-cited choices, presenting a significant barrier to entry for domestic challengers.

Top Improvers: EdTech and Consumer Brands Gain Ground

The most notable upward movements this week occurred in the professional education and consumer sectors:

• Emeritus (edtech) and Eruditus (edtech) both surged by +16 points, reaching scores of 62 and 60 respectively. This synchronized jump likely stems from recent global partnership announcements and high-authority academic press releases, which have been rapidly indexed by web-search-enabled LLMs.
• Tata Consumer Products (food-beverage) rose +9 points to 63, benefiting from positive sentiment surrounding sustainable sourcing initiatives and strong quarterly earnings discussions online.
• Paytm (finance) clawed back +9 points (now at 48), indicating a gradual recovery in AI sentiment as regulatory clarity improves.
• Sterlite Technologies (telecom) gained +8 points to reach 41.

Top Decliners: Volatility in Real Estate and Tech

On the flip side, several brands suffered visibility and sentiment setbacks:

• NoBroker (realestate) led the decliners, dropping -9 points to 55.
• Zoho (technology) fell -8 points to 64, potentially due to a temporary dilution in recent online media mentions compared to competitors.
• BSNL (telecom) and Lava International (telecom) both dropped -8 points (scoring 39 and 33 respectively), reflecting a lack of fresh, positive conversational data in LLM retrieval pipelines.
• Oberoi Hotels (travel) also dipped -8 points to 66.

The Strategic Imperative: Navigating LLMO

As LLMs increasingly replace traditional search engines for product discovery, Large Language Model Optimization (LLMO) is no longer optional. The volatility observed this week demonstrates that brand visibility in AI models is highly dynamic. To maintain a competitive edge, Indian brands must actively manage their digital footprint, ensuring high-authority, structured, and sentiment-positive data is readily accessible to LLM crawlers.