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🔍 Site Lens: Visualizing Your Site Architecture Like Never Before

See Your Website the Way Search Engines Do.

Updated over 2 weeks ago

Site Lens is Search Atlas’ advanced visualization layer designed to transform raw crawl data into clear, actionable visual intelligence.


Instead of scanning tables of URLs, Site Lens allows you to see your site’s structure, crawl behavior, internal linking, and topical coverage across multiple visual dimensions.

This guide explains every Site Lens visualization, how it works, where it lives in the UI, and what insights to look for, using the exact behavior shown in the product.

📍 How to Access Site Lens (Exact UI Path)

Search Atlas → AI SEO → Site Audit → Site Lens

Once loaded, you’ll see:

  • Project name

  • Total pages crawled

  • Visualization tabs (2D, 3D, Tree, Crawl Tree, Link Flow, LDA Topics)

  • Global filters and export options

🧠 What All Site Lens Views Have in Common

Across every visualization:

  • Each node represents a page

  • Connections represent internal links

  • Node size reflects the selected metric (traffic, impressions, keywords, etc.)

  • Node color reflects depth or health

  • Filters allow you to isolate sections, hide pages, or emphasize specific page types

These views are different ways of looking at the same crawl data, each optimized for a different kind of insight.

🧭 Global Controls & UI Elements

Left Control Panel

  1. Go to URL → jump to and highlight a specific page

  2. Fix nodes on drag → lock node position

  3. Show labels → toggle URL labels

  4. Size by → choose metric that controls node size
    (Depth, Traffic, Impressions, Keywords, etc.)

  5. Color by → choose color metric
    (Depth, Page Health Score)

  6. Emphasis → highlight hubs, traffic leaders, paid pages

  7. Max Depth → limit crawl depth shown

  8. Link Length → spacing between nodes

  9. Reset → restore default view

Top Controls

  1. Filter Pages → isolate specific sections

  2. Show Prunable → highlight low-value pages

  3. Hide Orphans → hide disconnected pages

  4. Export PNG → download visualization

  5. Light / Dark Mode

🟢 2D Node Cluster

A visual map of your site’s internal linking structure.

▶ What this view shows

A force-directed graph showing your site’s pages as interconnected nodes in a two-dimensional space.

  • Each node = one page

  • Lines = internal links

  • Nodes naturally group into clusters based on linking relationships

  • The homepage typically appears near the center

▶ How to read it visually

  • Node size → selected metric (traffic, impressions, keywords, etc.)

  • Node color → crawl depth from the homepage

    • Depth 0 = homepage

    • Depth 1 = first-level pages

  • Blue rings → hub or emphasized pages

  • Red rings → pages flagged as prunable

  • Dense clusters → strong topical or structural grouping

  • Isolated nodes → orphan or weakly linked pages

▶ What problems this helps you detect

  • Pages that are hard for search engines to discover

  • Important content with insufficient internal links

  • Over-isolated sections of the site

  • Pages that add little SEO value

  • Hubs that are not distributing authority effectively

▶ Recommended actions

  • Add internal links to isolated or deep pages

  • Strengthen hub pages and link them to priority URLs

  • Consolidate or prune low-value pages

  • Rebalance internal linking across clusters

  • Align architecture with content strategy

▶ How to interact with the UI

  • Scroll → zoom

  • Click + drag → pan

  • Click a node → page details

  • Size by → change the metric driving node size

  • Filter Pages → isolate sections

  • Show Prunables → highlight low-performing pages

⚙️ How this view works

Pages are positioned using a force-based layout where linked pages attract each other and unlinked pages repel, allowing natural clusters to form based on internal linking density.

🟣 3D Crawl Diagram

An immersive, three-dimensional view of your site structure.

▶ What this view shows

  • Pages represented as spheres in 3D space

  • Internal links connecting pages

  • Depth visualized spatially

  • Homepage typically near the center

▶ How to read it visually

  • Vertical spread → hierarchy depth

  • Dense regions → strongly linked sections

  • Floating nodes → weakly linked pages

  • Larger spheres → higher metric values

▶ What problems this helps you detect

  • Excessively deep site architecture

  • Pages buried too far from the homepage

  • Structural bottlenecks

  • Hidden clusters not obvious in 2D views

▶ Recommended actions

  • Flatten deep sections where possible

  • Add shortcut links to buried pages

  • Strengthen internal linking to floating nodes

  • Validate architecture changes visually

▶ How to interact with the UI

  • Left-click + drag → rotate

  • Right-click + drag → pan

  • Scroll → zoom

  • Click a node → page details

  • Use depth filters to isolate levels

⚙️ How this view works

The 3D diagram uses the same crawl data as the 2D view but distributes nodes across three axes, revealing depth and separation more clearly.

🌳 Tree Diagram (URL Hierarchy)

A hierarchical view based on URL structure.

▶ What this view shows

  • Parent–child relationships derived from URL paths

  • Sections and subsections of your site

  • Page counts per section

▶ How to read it visually

  • Top nodes = higher-level pages

  • Deeper branches = nested URLs

  • Wide branches = large sections

  • Collapsible nodes = expandable subsections

▶ What problems this helps you detect

  • Pages buried too deep in the URL structure

  • Overcrowded sections

  • Unbalanced or confusing hierarchies

  • Structural inconsistencies

▶ Recommended actions

  • Simplify deep URL paths

  • Reorganize oversized sections

  • Improve navigation and breadcrumbs

  • Align URL structure with content intent

▶ How to interact with the UI

  • Click nodes to expand or collapse

  • Toggle depth levels

  • Hover for page details

  • Drag and scroll to navigate

⚙️ How this view works

URLs are parsed into hierarchical segments, forming a tree structure based on path depth.

🌲Crawl Tree (Actual Crawl Path)

A visualization of the actual crawl path taken by search engines.

▶ What this view shows

  • Real crawl discovery order

  • Parent-child crawl relationships

  • Crawl depth from the homepage

  • Pages flagged as prunable

▶ How to read it visually

  • Left-to-right flow shows crawl progression

  • Deeper levels = more clicks required

  • Highlighted nodes indicate low-value pages

▶ What problems this helps you detect

  • Important pages discovered too late

  • Crawl inefficiencies

  • Pages requiring too many clicks

  • Weak internal link signals

▶ Recommended actions

  • Reduce crawl depth for priority pages

  • Add internal links earlier in the crawl path

  • Remove unnecessary crawl paths

  • Improve crawl efficiency

▶ How to interact with the UI

  • Toggle depth levels

  • Hover for metrics

  • Click nodes to open URLs

  • Reset view to re-center

⚙️ How this view works

This view reflects the crawler’s real traversal order, not just theoretical hierarchy.

🔗 Link Flow Diagram

A visual map of how internal link equity flows between sections.

▶ What this view shows

  • Site sections arranged in a circular layout

  • Ribbons representing internal links

  • Ribbon thickness indicating link volume

▶ How to read it visually

  • Thick ribbons = strong link flow

  • Thin or missing ribbons = weak connections

  • Balanced sections = healthy architecture

▶ What problems this helps you detect

  • Siloed content

  • Uneven authority distribution

  • Missed cross-linking opportunities

▶ Recommended actions

  • Add links between related sections

  • Strengthen authority flow to priority areas

  • Balance internal linking strategy

▶ How to interact with the UI

  • Hover sections to highlight connections

  • Hover ribbons for link counts

  • Click sections to filter

⚙️ How this view works (advanced)

Internal links are aggregated by section and visualized as directional flows.

🧠 LDA Topic Analysis

A semantic view of what your content is actually about.

▶ What this view shows

  • Topics represented as bubbles

  • Topic size reflecting prevalence

  • Keywords associated with each topic

  • Pages probabilistically mapped to topics

▶ How to read it visually

  • Large bubbles = dominant topics

  • Overlapping bubbles = related themes

  • Distant bubbles = distinct topics

▶ What problems this helps you detect

  • Overlapping or redundant content

  • Missing topical coverage

  • Weak topical authority areas

▶ Recommended actions

  • Fill content gaps

  • Consolidate overlapping articles

  • Strengthen internal linking within topics

  • Align content with search intent

▶ How to interact with the UI

  • Click topics to view keywords

  • Adjust relevance weighting

  • Switch between bubble and detailed views

  • Click topics to see associated pages

⚙️ How this view works

Topic modeling groups pages based on semantic similarity across the site.

🎯 Why Site Lens Matters

Site Lens turns SEO from analysis into visual understanding.

By combining:

  • Crawl depth

  • Internal links

  • Hierarchy

  • Link equity

  • Topical relevance

…Site Lens gives you a complete mental model of your website, exactly as search engines experience it.

Site Lens is not one visualization — it’s six complementary lenses on the same truth:

Your site’s structure determines how value flows, how pages rank, and how content is discovered.

Use Site Lens to:

  • Find what’s hidden

  • Fix what’s broken

  • Strengthen what matters

  • Build with intention

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