The LLM Share of Voice: rAsh Score Weekly Report (Week of August 29, 2026)

Welcome to the weekly rAsh Score analysis, where we evaluate the visibility and sentiment of major brands within Large Language Model (LLM) outputs in the Indian market. As LLMs increasingly replace traditional search engines for product discovery and brand research, understanding your "AI Share of Voice" is critical for modern brand equity.

Executive Summary

This week’s data highlights the continued dominance of global technology giants in LLM training data and real-time retrieval systems. However, we are observing significant volatility in domestic sectors, particularly in Indian fintech and healthcare. While digital health brands are successfully optimizing their AI footprint, legacy telecom and prominent fintech platforms have experienced sharp declines in visibility and sentiment.

The Tech Giants Consolidate AI Dominance

The top five overall brands this week demonstrate that global tech conglomerates maintain an iron grip on LLM recommendations:

• Apple (mobile-phones) leads the index with a score of 89/100.
• Samsung dominates the top five, securing three positions across consumer-electronics (88/100), mobile-phones (87/100), and home-appliances (85/100).
• Google (mobile-phones) rounds out the top five at 84/100.

This concentration suggests that LLMs rely heavily on structured global reviews, tech forums, and massive digital footprints. For these brands, their AI visibility is highly resilient, driven by continuous global product launches and deep integration into consumer tech discussions.

Market Dynamics: Improvers and Decliners

Top Improvers

We observed strong upward momentum in the consumer electronics and healthcare sectors:

• Sony (consumer-electronics): Score 79 (Up +11)
• 1mg (Tata Health) (healthcare): Score 61 (Up +10)
• TCL (consumer-electronics): Score 53 (Up +9)
• Narayana Health (healthcare): Score 57 (Up +8)
• LIC (finance): Score 52 (Up +8)

The rise of 1mg (Tata Health) and Narayana Health indicates a shift in how LLMs retrieve medical and wellness information in India. Increased citation of structured healthcare directories and authoritative medical content has boosted their authority scores. Sony's jump is likely tied to recent product announcements and positive sentiment spikes in audio and gaming discussions.

Top Decliners

Conversely, several brands suffered notable losses in their AI visibility index:

• Zerodha (finance): Score 59 (Down -13)
• Micromax (telecom): Score 24 (Down -13)
• Lava International (telecom): Score 29 (Down -12)
• Nokia (mobile-phones): Score 46 (Down -12)
• Razorpay (finance): Score 48 (Down -10)

The steep declines for fintech leaders Zerodha and Razorpay suggest that recent regulatory discussions or shifts in financial news cycles have negatively impacted their sentiment algorithms. Meanwhile, legacy mobile brands like Micromax, Lava International, and Nokia continue to fade from LLM recommendations, reflecting a lack of fresh, high-authority digital content to keep them relevant in AI-generated product comparisons.

The LLMO Outlook

As LLMs become the primary interface for consumer decision-making, Large Language Model Optimization (LLMO) is no longer optional. Brands like 1mg are proving that strategic content structuring can rapidly elevate AI visibility. Conversely, legacy brands must actively counter digital decay. To maintain relevance, Indian enterprises must focus on generating high-authority, crawlable, and sentiment-positive digital assets to feed the next generation of AI models.