Skip to content
CiteRank AI Logo
Revenue Attribution

Tie AI visibility to your bottom line.

Stop guessing the value of an LLM recommendation. We provide a three-tier attribution framework to measure how AI engine visibility drives clicks, leads, and revenue.

Start Attribution Audit

Three ways to measure impact

AI attribution is complex. We split the signal into three distinct models to give you a complete view of the customer journey.

Direct Referrals

Last-click attribution from LLM citation links.

  • Direct Clicks
  • Landing Page Leads
  • Conversion Rate

Assisted Conversion

Users who interacted with your brand in an AI engine before converting via other channels.

  • Brand Recall
  • Assisted Revenue
  • Path Length

Market Correlation

Statistical correlation between AI visibility scores and organic revenue growth.

  • Visibility vs Revenue
  • Share of Voice
  • Growth Velocity

Direct Referral Tracking

We track every click from AI search engines—including Perplexity, Gemini, and ChatGPT—back to your website. By tagging these inbound sessions in your analytics suite, we can attribute specific leads and pipeline to the engines that recommended you.

Note: Direct referrals only capture users who click a citation link. This represents roughly 15-20% of the total revenue impact of AI search.

Connect your stack

CiteRank AI is built to sit alongside your existing marketing tools. We provide structured data exports and tracking parameters that flow directly into your attribution ecosystem.

Google Analytics 4

Track AI source/medium and custom visibility dimensions directly in GA4 explorations.

CRM Pipeline Sync

Append AI visibility data to leads in Salesforce, HubSpot, or custom CRM workflows.

Status:Native API connectors are currently in private beta. Early-access customers can use our manual CSV exports and UTM-tagging guides to bridge data gaps today.

AI Engines
CiteRank
Analytics
Revenue

Important notice on data quality

AI revenue attribution is a nascent field. CiteRank AI provides the most accurate models currently available, but data quality depends on proper site tagging and consistent replay monitoring. Our correlation models require at least 60 days of historical data for statistical significance. We do not claim to provide 1:1 user-level tracking for non-citated LLM responses.

Ready to prove your ROI?

Join the forward-thinking brands who are measuring the performance of the next era of search.

Run Free Performance AuditView Platform Pricing
Run Free Audit