Service Offering
DATA ARCHITECTURE
Certified analytics frameworks rebuilt for the Synthetic Era — capturing AI referral attribution, citation-to-conversion measurement, and generative engine performance.
Measuring the Invisible
Enterprise analytics architectures — Adobe Analytics, Google Analytics 4, Mixpanel — were built to measure clicks, sessions, and linear funnels. They break completely when buyers ask ChatGPT for a vendor recommendation and never click a link.
With 15+ years of enterprise analytics implementation experience, Kevin Walsh redesigns B2B data architectures to capture the signals that matter in the Synthetic Era. If you cannot measure AI's impact on your pipeline, you cannot defend the budget required to dominate it.
Analytics Upgrades for the AI Era
Brainpan.AI's Data Architecture service bridges the gap between traditional web analytics and modern generative engine optimization.
- AI Referral Attribution: Custom rules processing and tracking parameters to correctly identify and attribute downstream traffic originating from ChatGPT, Claude, Perplexity, and Gemini.
- Server-Side Tagging (sGTM): Migrating your data collection to server-side containers to bypass aggressive B2B ad blockers, recovering up to 30% of lost session visibility.
- Omnichannel Measurement: Connecting your CRM pipeline data (Salesforce, HubSpot) to your web analytics to prove the closed-won value of GEO and AEO investments.
- Event-Driven Data Layers: Re-architecting your site's data layer to capture high-intent interactions with complex B2B content, feeding cleaner signals back to your advertising platforms.
Expertise You Can Trust
We don't just provide strategy — we write the code. Our implementations cover Adobe Analytics (Certified Business Practitioner), Google Analytics 4, Google Tag Manager, server-side GTM, Tealium, and custom JavaScript data layers, ensuring your marketing data is pristine, compliant, and actionable.
Data Architecture: Frequently Asked Questions
Why is AI referral attribution different from standard web analytics?
Standard web analytics tools were built to measure clicks, sessions, and linear funnels. When buyers ask ChatGPT for a vendor recommendation and click a cited link, that session often arrives without standard UTM parameters or referrer data — making it appear as direct traffic. Custom AI referral attribution rules correctly identify and credit these sessions to the specific LLM source.
What is server-side tagging and why does it matter for B2B?
Server-side tagging (sGTM) migrates data collection from the user's browser to a server-side container you control. Enterprise B2B visitors use ad blockers at rates exceeding 30%, which means client-side tracking misses a significant portion of your target audience. Server-side tagging bypasses browser-level blocking, recovering lost session visibility and producing more accurate attribution data for ABM and demand gen programs.
Which analytics platforms does Brainpan.AI implement?
Kevin Walsh holds Adobe Analytics Business Practitioner certification and has 15+ years of enterprise analytics implementation experience. The Data Architecture service covers Adobe Analytics, GA4, GTM, server-side GTM, Tealium, and custom JavaScript data layers — all designed to produce clean, compliant, actionable data.
How does data architecture support GEO and AEO ROI measurement?
GEO and AEO investments generate AI citation lifts and zero-click brand authority — but without proper attribution, these wins are invisible in standard dashboards. Brainpan.AI's Data Architecture service builds the measurement layer that connects LLM citation events to web sessions, pipeline stages, and closed-won revenue, giving you the data to defend and expand your GEO and AEO budgets.