tracerHQ
SEO-to-Revenue Attribution for B2B SaaS
In their words
tracerHQ helps B2B SaaS companies track revenue from search to checkout by connecting your Google Search Console, web analytics, and revenue data.
Key Features
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Revenue Attribution: Connects search data to actual revenue, allowing you to see exactly which search terms contribute.
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AI Insights: Uses Claude-powered skills to suggest and execute SEO actions, write content based on data, and answer questions via natural conversation.
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Prioritized Roadmap: Delivers a step-by-step to-do list ranked by potential revenue impact, helping teams focus on fixes.
Fact file
Web app- Web
- Google Search Console
- PostHog
- Plausible
- Amplitude
- Stripe
- DataFast
- Free Tier
- 3 AI questions
- Credit Cost
- 101 credits per AI message
What is tracerHQ?
Connecting search performance directly to recurring revenue requires merging data sources that normally sit apart. tracerHQ links Google Search Console, web analytics, and payment platforms into a single conversation interface to track which specific keywords and intent clusters drive paid signups and MRR for B2B startups.
Connecting search and revenue data
Users link analytics platforms like PostHog, Plausible, and Amplitude alongside search data without manual CSV exports. The system cross-attributes visitor behavior with checkout data to surface revenue gaps and conversion leaks in the SEO funnel. Rather than browsing raw metrics or static charts, teams ask natural language questions in a chat interface to determine which search terms to prioritize.
AI-driven action plans and team exports
Claude powers the conversational layer, answering queries about keyword impact and generating step-by-step remediation lists ranked by revenue effect. Agencies and growth teams use intent cluster analysis and AI visibility tracking to see which search assistants mention their brand, exporting prioritized tickets straight to Jira for execution.