Connected Analytics

AI Crawler and AI Referral Analytics

See which AI systems discover your site, which AI surfaces send traffic, and which pages connect visibility to outcomes.

Connected site

Data source

Server-side

Analytics

GA4 + GSC

Commerce

Shopify

Overview

What connected analytics adds

Declared and inferred AI crawler requests, high-value paths, request frequency, and crawl coverage by template.

AI-origin sessions separated by platform, landing page, engagement, and post-click path.

GSC and page data that show where classic search demand, answer-layer visibility, and content gaps overlap.

Shopify and GA4 ecommerce context for prioritizing product pages and content clusters by business value.

Workflow

Use the page as a focused entry point, then move high-value sites into connected evidence tracking.

Add lightweight runtime collection so AI crawler and referral evidence is recorded before client analytics loses context.

Connect GA4, GSC, and Shopify where available to map visibility into sessions, queries, products, and revenue.

Use crawler and referral shifts to validate page updates, source improvements, link context, and schema changes.

Outputs

AI crawler coverage by path, template, source, and time period.

AI referral sessions segmented by platform, page, and engagement quality.

GA4/GSC overlays for pages with demand but weak answer-layer evidence.

Shopify and ecommerce views that show which AI visibility work can affect revenue.

FAQ

GA4 is useful but incomplete. Server-side crawler and request evidence catches activity that referral analytics alone cannot explain.

The core evidence model is server-side and privacy-conscious. GA4, GSC, and Shopify integrations add context with their own permission models.

Yes. Agencies can use connected evidence to prove what changed for each client site and decide which pages deserve the next optimization cycle.