Page similarity scoring
Compare pages by semantic closeness so related content is visible even when titles, URLs, and target keywords differ.


Create audit narratives, stakeholder briefs, deep dives, visual explanations, and action plans grounded in crawl evidence and semantic context.


Use the semantic scraping layer to create a vector representation of every crawled URL.
Calculate page similarity to find which URLs occupy the same or adjacent semantic space.
Review clusters, outliers, overlap, gaps, and opportunities across the site.
Compare pages by semantic closeness so related content is visible even when titles, URLs, and target keywords differ.


Group pages into topical neighborhoods that reveal how much depth the site has around a subject.


Find pages competing for the same semantic space, whether they are duplicates, partial duplicates, or cannibalizing each other.


Spot pages that do not reinforce nearby topics and may need internal links, consolidation, or better context.
Find semantic areas where coverage is thin, missing, or weaker than the surrounding topic cluster suggests it should be.
Identify clusters where too many pages answer the same intent and need clearer roles or consolidation.
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