What question did this study set out to answer?

To establish a framework for evaluating website visibility using AI and evidence-based measurements.

February 9, 2026Open Access

Website Visibility and Activity Reporting: Evidence-Based Measurement With Integrity (v0.7)

Key Points

To establish a framework for evaluating website visibility using AI and evidence-based measurements.
Developed a reporting framework based on the 11-Stage AI Visibility Lifecycle.
Created the Client Website Visibility Report to summarize website status.
Defined the role of Account Manager for interpreting report findings.
Introduced a verifiable measurement standard for website visibility.
Enabled businesses to better understand their online presence across various stages.
Clarified information delivery to agencies and business owners.

Abstract

A reporting framework for AI-mediated website discovery, built on the 11-Stage AI Visibility Lifecycle. This paper introduces the Client Website Visibility Report — a single comprehensive report measuring status across all 11 stages of the AI Visibility Lifecycle. It defines the evidence standard (observable, verifiable, repeatable), explains what agencies and business owners receive, and establishes the Account Manager role as the professional interpretation layer. Part of the AI Visibility Architecture (AIVA) framework documentation.

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