Measurement and attribution is the track that ties search and AI visibility to outcomes a finance director will accept: separating what the team changed from what the market and the algorithm did, tracking AI citations and assistant-referred sessions alongside organic clicks, configuring conversion events that reflect real business value, and reporting against a defined metric so the programme can be improved rather than defended. This hub links the Site Performance Operating System, the competitor and opportunity analysis service and the AI Search Query Capture tool that shows the queries ChatGPT and Claude actually run.
Search and AI visibility only earns budget when it can be tied to outcomes a CFO will accept. This track is about honest measurement, separating what the team did from what the market and the algorithm did, and building monitoring systems that improve against a defined metric. It anchors the Site Performance Operating System and most of the lab builds.
Which search attribution and measurement services does Laurelin offer?
Competitor & Opportunity Analysis
Two connected analyses: an opportunity gap that sizes the organic prize available to you in revenue terms, and a competitor benchmark across organic, paid and social that shows exactly where you are losing ground and what to fix first. Both are expressed in revenue terms so the size of the prize can be set against the cost of winning it.
Site Performance OS
A four-layer operating system that captures every task (input), measures every metric (output) and joins them through an attribution model that survives a CFO conversation, closing the gap that gets agencies fired when the algorithm gives or takes. It is the reporting layer for every Laurelin engagement, so the question of whether the work moved the metric is answered with evidence rather than asserted.
Which frameworks explain search attribution and measurement?
Which free tools and lab builds cover search attribution and measurement?
AI Search Query Capture
A free Chrome extension that reveals the web-search queries ChatGPT and Claude run when they browse, and the source URLs they cite, captured live and on-device. It makes query fan-out visible, the bridge between a natural-language prompt and what actually gets retrieved and cited. Live on the Chrome Web Store.
EventCapture
Event content, keynotes, panels, podcasts, notes, photos, evaporates after the event. EventCapture records it on a phone, offline-first, and turns it into attributed, AEO-optimised content the same day: event reports, articles, social posts, show notes and a quote bank. It is built for conferences, trade shows and internal events where the speakers are the experts whose authority the content should compound.
Domain Gap Alert
A lightweight hook: enter a seed term, the tool pulls related search terms, checks whether your domain ranks for any, and if it does not, generates an alert, "you are invisible for these terms, here is the cost of that." It quantifies the gap rather than asking a prospect to trust that search matters.
What has Laurelin published on search attribution and measurement?
Frequently asked questions about search attribution and measurement
How do you attribute revenue to AI search?
Combine three signals: assistant-referred sessions (ChatGPT, Perplexity and Copilot appear as referrers), citation share for a fixed prompt set tracked over time, and branded-search lift, then compare against a holdout period or matched pages. No single figure is complete; the honest report shows all three and states what changed.
What should a search performance report contain?
The metric the programme is accountable for, the actions taken in the period, the change in the metric with the market movement separated out, and the next decisions. Laurelin's Site Performance Operating System is the framework for running that loop monthly.