This matrix represents the cumulative movement behaviour observed across all recorded search system visits since measurement began. Unlike a daily snapshot, it reflects the long-term structural behaviour of search systems as they repeatedly explore your website. As additional observations are collected, the transition probabilities gradually stabilise, providing an increasingly reliable representation of how search systems navigate, interpret and reinforce your websites knowledge structure. Learn how Markov Chains model search system movement.

 

This analysis estimates the long-run equilibrium of observed search system movement through your website. Higher probabilities indicate areas that naturally attract and retain search system attention after repeated exploration.

The Website Search Behaviour Matrix shows how automated search systems move between different types of pages on the website.

Rather than simply counting how often a page is visited, the matrix records **what happens next**. For example, if a search system visits an Entry Page, does it move into Supporting Content, reach an Authority Core page, visit a Commercial Page, or leave the measured website structure?

Each row represents the type of page the system is currently visiting, while the percentages show where its next recorded movement occurs.

Over time, these observations reveal recurring patterns in how the website is explored.

The strongest pattern in the current results is the importance of **Supporting Content**. Once search systems enter this part of the website, 91.83% of subsequent movements remain within Supporting Content. Supporting Content also receives substantial movement from Entry Pages, High-Value Pages, Structural Pages, Commercial Pages and the Authority Core.

The **Authority Core** shows its own strong persistence, with 62.18% of movements remaining within Authority Core pages. At the same time, 26.89% move from the Authority Core into Supporting Content, indicating a measurable relationship between the website’s central authoritative material and the wider information supporting it.

The matrix therefore provides a behavioural map of the website. It does not prove what a search engine has learned or how it will rank individual pages. What it does demonstrate is **which parts of the website automated systems repeatedly visit, how they move between them, and where persistent structural relationships are emerging over time**.

As more observations are collected, these probabilities can be compared over time to determine whether those movement patterns are strengthening, weakening or changing.

Learn how probability influences search visibility over time.

Search System Equilibrium

 

These observations are derived from the transition probabilities and equilibrium model shown above. They describe how search systems are currently interpreting and reinforcing the structure of your website based on observed navigation behaviour.

This table identifies the Authority Core pages most frequently reached from another Authority Core page. Repeated movement between these pages indicates that search systems are reinforcing connections within the websites principal knowledge structure.

This section highlights changes in Authority Core reinforcement since the previous report.