Structural Signals
The blog series
Anonymized Fortune 500 websites, analyzed through the Five-Lens network science framework. Patterns, failure modes, and what the topology actually predicts.
Service · Diagnostic
A network-science audit of your entire web and content topology. See orphan pages, content islands, and structural drift: the hidden risks behind bad AI citations, failed migrations, and compliance gaps.
Structure is signal
Large digital estates encode business logic in their link topology. When it drifts, search engines misrank, AI assistants misquote, and auditors can't trace what feeds your internal RAG. A Digital MRI unfolds in four steps, each with a clear input, output, and artifact your team keeps.
Step 1
We crawl every page, link, and connection across your web and content estate. Nothing is sampled or guessed. The raw topology is assembled into an interactive visualization your team can explore directly, so the conversation starts from what is really there rather than from what a site map claims.
Anonymized sample topology. Explore clusters, orphans, and hubs directly.
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Step 2
We read the topology through five lenses, each isolating a different class of structural risk. Every lens produces a measurable score. The scores roll up into a composite Axiom Score (0 to 100) that leadership and auditors can actually read, instead of relying on gut feel or vendor promises.
The load-bearing structure: hubs, depth, navigation spine.
How authority and attention flow between pages.
Functional clusters that serve specific business goals.
Drift indicators: orphans, dead ends, broken clusters.
Cross-cluster links that coordinate the whole estate.
The composite 0 to 100 structural-health index.
You receive
Step 3
The scored analysis becomes a plain-language briefing your leadership can read in one sitting. Risks are translated into business impact, findings become a prioritized roadmap, and the underlying evidence stays one click away. The same report travels to auditors, vendors, and CMS owners without translation.
You receive
Step 4
We walk the report with your team, align on what to fix first, and sequence the work. You decide scope. We can implement alongside your team, train them to run the fixes, or set you up with an optional re-scan cadence so drift is caught before it becomes a crisis.
You receive
The diagnostic is the same. The question it answers depends on who's asking.
AI assistants follow structure. Orphans and islands are invisible, no matter how good the copy is. The MRI shows you which pages actually carry weight in the network, so GEO optimization targets the ones that move the needle.
Before signing or replatforming, map the hidden technical debt. Content sprawl, redirect chains, and structural drift become explicit line items rather than post-close surprises.
When your internal Copilot or RAG pipeline learns from the website/intranet, auditors ask: where did the training data come from? The MRI delivers the structural evidence: a map of what's controlled, what's orphan, what's drifted.
Go deeper
Structural Signals
Anonymized Fortune 500 websites, analyzed through the Five-Lens network science framework. Patterns, failure modes, and what the topology actually predicts.
Research
Network topology predicts a page's business function with 95% accuracy, outperforming text-only NLP models by more than 34 percentage points.
Questions about transparent AI governance? Curious how your digital architecture measures up? Start a conversation.