Brand Analytics: What to Measure & Best Tools 2026

Updated July 2026 · 8 min read · By

Brand analytics is the practice of measuring how your brand performs across different channels and touchpoints. In 2026, brand analytics has expanded beyond traditional metrics like social media engagement and website traffic to include AI visibility scores, model coverage, and sentiment analysis from AI-generated content.

This guide covers the key brand analytics metrics every business should track, along with the best tools for measuring them.

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Key Brand Analytics Metrics to Track in 2026

Effective brand analytics combines traditional metrics with emerging AI-specific measurements. Traditional metrics include brand awareness (recall and recognition), share of voice (your brand's mentions compared to competitors), sentiment analysis (positive, neutral, negative ratio), and engagement rates. New AI-specific metrics include AI visibility score (percentage of AI models that recognize your brand), model coverage (how many different AI models know about your brand), and AI sentiment distribution.

Traditional Brand Metrics

AI Brand Analytics Metrics (New for 2026)

AI brand analytics measures how your brand appears in artificial intelligence systems. Use our AI visibility checker to track these metrics:

Best Brand Analytics Tools

Building a Brand Analytics Dashboard

Create a monthly brand analytics dashboard that includes your AI visibility score, share of voice against top competitors, sentiment trend (positive/neutral percentage), top sources of brand mentions, and website traffic from brand searches. Track these metrics monthly and look for trends over time. A rising AI visibility score correlates with increased brand awareness among tech-savvy consumers who use AI for product research.

Related: How to Measure Brand Awareness in AI Search · Best Brand Monitoring Tools