Answer first.
Lead with the decision-relevant answer, then make the context and evidence easy to inspect.
The web changed actors.
Analytics should change categories.
Wandered is an analytics product in private development. It is being designed for a web where people discover businesses through AI answers and where machines increasingly inspect, retrieve, and act on websites.
Existing analytics can count pages and campaigns, but AI discovery introduces different evidence: a human referral from an assistant, an automated crawler request, a user-delegated task, a citation in an answer, and a business outcome. Blending these events may create a bigger number, but it produces a worse explanation.
Wandered starts with separation. Human and machine activity remain distinct. Observed and modeled attribution remain distinct. Mentions, citations, visits, and outcomes remain distinct. The product can connect them when the evidence supports a useful path.
Unknown is information.
Coverage gaps should be visible. Uncertainty should never be silently converted into precision.
People are not bots.
Human visits, crawlers, retrieval systems, and agents represent different behavior and need different metrics.
Value beats volume.
Traffic matters in context. The stronger question is which paths help a person complete something meaningful.
Field notes are written by Patrick Kennedy and reviewed against primary provider, standards, and analytics documentation by Wandered Editorial. Every substantive resource names its sources, publication and verification dates, evidence limitations, and related measurement definitions.
Provider behavior and analytics classification can change. Maintained references carry a visible change log and downloadable data with a last-verified date. Corrections supported by primary evidence can be sent to hello@wandered.io.
Current statusPrivate product.
Private product.
Public field notes.
The interface and implementation remain private while the measurement model is being refined. In the meantime, Wandered is publishing practical definitions and guides for teams navigating AI analytics.
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