AI Visibility in Action
How India's leading brands appear in AI-generated answers and what their scores reveal about market dynamics.
By PingAura Data Team · Updated May 2026
Banking Industry AI Visibility
Overview
India's banking sector is highly competitive, and AI assistants are becoming a key channel for customer discovery. When users ask ChatGPT or Perplexity about savings accounts, home loans, or credit cards, the banks they name gain significant organic exposure. This case study analyzes the AI visibility landscape for 25 Indian banks.
Key Findings at a Glance
The Leaders
ICICI Bank (20.9/100) leads the sector, followed by HDFC Bank (20/100) and Axis Bank (15.3/100). These three dominate AI mentions, appearing consistently across queries about savings accounts, loans, credit cards, and general banking services. Note how low the absolute numbers are: even the category leader is named in a minority of answers.
Why They Lead
- Brand authority: SBI's government-backing and HDFC's strong retail presence mean AI models frequently cite them as default recommendations.
- Digital footprint: All three have extensive online content: official pages, financial news coverage, customer reviews, and Wikipedia entries.
- Query coverage: They appear across diverse prompt types (recommendations, comparisons, feature queries), boosting their overall score.
The Gap
The average across all 25 banks is just 5.1/100. Mid-tier names such as IDFC FIRST Bank (8.7) and Yes Bank (9) trail well behind. Scores this low are normal here, because a visibility score is a competitive measure rather than a percentage of some ideal. The gap is still the opportunity: a few points of movement is the difference between being named occasionally and not at all.
Key Takeaway
For mid-tier banks, building authoritative content on financial topics, earning citations from trusted news sources, and maintaining consistent NAP across platforms can close 20-40% of the visibility gap.
Mobile Phone AI Visibility
Overview
The smartphone market in India is one of the most competitive globally. Every month, millions of users ask AI assistants for phone recommendations, comparisons, and feature analyses. This case study examines how 26 top mobile brands perform in AI-generated answers.
Key Findings at a Glance
The Leaders
Samsung (21/100) tops the ranking with a clear lead. Motorola (13.9/100) and Google (12/100) follow. Samsung's wide product range and strong global brand recognition give it an edge in AI training data and real-time citations.
What Drives Smartphone Visibility
- Product breadth: Brands that span budget, mid-range, and premium segments get mentioned in more query types.
- Review coverage: Tech publications, YouTube reviewers, and comparison sites create the citation ecosystem AI models draw from.
- Feature differentiation: Brands with unique selling points (camera, battery, display) get cited for specific feature queries.
The Opportunity
The average score is 4.9/100 and the gap between leaders and followers reveals where investment in AI visibility pays off. Brands in the lower half of the table have a clear path to improvement: create in-depth product pages, earn reviews on authoritative tech sites, and ensure structured data (Product, FAQ schemas) is correctly implemented.
Key Takeaway
In the mobile phone segment, quality content about specific features (camera specs, battery life, display quality) drives higher AI visibility than generic brand pages. Brands that optimize for feature-specific queries see the fastest score improvements.
Explore the Rankings
See how your industry's brands rank in AI visibility. Use the data to identify gaps and opportunities.