Lilly Tech Systems
Intermediate
AI-Powered Brand Monitoring
AI brand monitoring goes beyond keyword alerts to detect brand mentions in images, understand indirect references, track competitor activity, and measure your share of voice across the entire digital conversation.
Advanced Mention Detection
- Visual Brand Detection: Computer vision identifies your logo, products, and packaging in images and videos even without text mentions
- Misspelling Recognition: AI catches common brand name misspellings, abbreviations, and alternate spellings
- Indirect References: NLP understands when people discuss your brand without naming it directly
- Audio Monitoring: Speech-to-text analysis of podcasts, videos, and audio social content for brand mentions
Share of Voice Analysis
| Metric | What It Measures | Why It Matters |
|---|---|---|
| Mention Volume | Total brand mentions vs. competitors | Market awareness and buzz level |
| Sentiment Share | Positive mention percentage vs. industry | Brand perception relative to competitors |
| Reach Share | Potential audience exposed to brand mentions | Actual awareness impact, not just volume |
| Engagement Share | Interactions on brand-related content | Conversation participation and advocacy |
Key Insight: Share of voice often correlates with market share. Brands that consistently own a larger share of the conversation tend to grow market share over time.
Competitive Intelligence
Competitor Tracking
Monitor competitor mentions, campaigns, product launches, and customer sentiment in real time.
Campaign Analysis
AI detects when competitors launch new campaigns and measures their social impact and reception.
Gap Identification
Find unmet customer needs by analyzing complaints about competitors that your product could address.
Influencer Overlap
Identify influencers who mention competitors but not your brand — potential partnership opportunities.