Beamtrace Core Features
Track how AI search engines and chatbots see your brand. Monitor visibility, competitor mentions, and recommendations across AI platforms.
Core Features of Beamtrace
Visibility Score
A single metric that quantifies overall brand presence in AI-generated search answers, combining mention frequency, position, and sentiment into one trackable number.
Competitor Analysis
Identifies which brands appear alongside a business in AI answers, with side-by-side comparison of visibility metrics and recommendation frequency across competitors.
Prompt-Level Tracking
Shows exactly how a brand performs for each tracked query, including average position in AI answers, mention context, and historical performance data per prompt.
Trend Analysis
Visualizes visibility changes over time, revealing whether brand presence in AI search is growing, declining, or stable across different time periods and topics.
Topic Grouping
Organizes tracked prompts by themes or business areas, allowing users to identify visibility patterns across product categories, service lines, or industry segments.
Multi-Platform Monitoring
Tracks brand visibility across multiple AI search engines, with ChatGPT support available now and Gemini, Claude, Perplexity, DeepSeek, and Grok planned for future release.
Use Cases of Beamtrace
- Marketing teams: Track brand visibility in AI search to measure the effectiveness of brand awareness campaigns across AI-powered discovery channels.
- SEO agencies: Add AI visibility monitoring to client reports, showing how brands perform in AI answers alongside traditional search rankings.
- Startups: Understand how AI search engines perceive a new brand and identify opportunities to improve recommendation frequency.
- Business owners: Monitor whether AI platforms recommend their business to potential customers and compare visibility against local competitors.
- Content strategists: Identify which topics and prompts drive the most AI visibility, guiding content creation to target high-impact queries.
