AI Visibility 2025 awards
Meet the brands that are leading the way in AI visibility, responding first as AI search reshapes how people discover brands.
THE AWARDS
Category Leaders
Highest overall SoV for their vertical from August - December 2025.
Growth Engines
Brands with the SoV that has risen the most from August - December 2025.
Challengers
Companies under 5 years old with highest SoV from August - December 2025.
Award Winners 2025
Category Leaders Award
Digital Technology & Software
The dominant presence across cloud, developer tools, and productivity topics.
Business & Professional Services
Workspace tools and capabilities anchor visibility across the entire category.
Fashion & Apparel
Ownership of the sustainability niche means high relevance and authority.
Consumer Electronics
Broad product offering means authority across TV, mobile, and home tech.
Growth Engine Award
Digital Technology & Software
High prompt coverage from IT products for both internal teams and customers.
Business & Professional Services
Consistent visibility gains from their financial products QuickBooks and TurboTax.
Fashion & Apparel
Incredible variety in its everyday fashion range led to fast-rising visibility.
Consumer Electronics
Growth centered around leadership in gaming and creator accessories.
Challengers Award
Digital Technology & Software
Strong acceleration as a leading LLM for specialized use cases like coding.
Business & Professional Services
Fast-climbing workforce management platform fuelled by industry placements.
Fashion & Apparel
Emerges as a top rental-fashion challenger in AI search.
Consumer Electronics
Rising quickly via design-forward devices and strong in-house OS.
The benchmark for AI visibility has been set.
But we’re just getting started. The AI Visibility Awards will return in 2026 to recognize more brands with genuine data-earned AI visibility leadership. Will you be among them?
POWERED BY ENTERPRISE AI OPTIMIZATION FROM SEMRUSH
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AI Visibility Index study
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Interested in how we created the AI Visibility Index?
Read the full methodology