What you get
- GA4 done right. Server-side tagging where it matters, server-side conversion API for ad platforms, consent-mode v2 set up correctly. Most "GA4 implementations" we audit are broken in 3 of 5 places.
- Behavioural analytics. Session replay, heatmaps, scroll depth, form-field analytics. We use Microsoft Clarity (free) by default, Hotjar where the org needs more, PostHog where the org wants self-host.
- AI-driven UX audit. Every critical flow walked by a person, then run against an AI evaluator that surfaces friction patterns at scale. Combines human judgment with statistical rigor.
- AI-engine crawl analytics. Which of your pages are ChatGPT, Perplexity, and Google AI Overviews actually fetching? Which are they ignoring? Server-log analysis of the bots that matter.
- Funnel attribution. Which channel actually drives revenue, which channel takes credit for revenue that another channel sourced. Multi-touch, last-touch, custom-model, you pick.
The fix loop
Analytics without action is theatre. Every retainer cycle we identify the top three friction points by revenue impact, draft the fixes (copy changes, layout changes, code changes), implement them in a test branch, and ship to a staging environment for review. The metrics move because we actually changed the page — not because we wrote a deck about changing the page.
The audit-as-a-service tie-in
Our analytics work runs alongside AiT Pulse, which monitors your AI visibility and reputation surface continuously. The two views combine into one dashboard: where buyers come from (Pulse), where they land (analytics), where they convert (analytics), and where they drop off (analytics + UX). One pane. One set of fixes. One set of metrics that move.
The free audit covers analytics gaps too.
Core Web Vitals, schema.org coverage, and EEAT signals are part of the standard 30-day deliverable.
Run the audit