silkra

map

Map sites by meaning. Not folders.

Silkra groups pages by semantic similarity — real cosine relationships, not URL paths, folders, or keyword tags. The result is a tree map of what a site is actually about, with issues and link data layered right on top.

semantic clusteringgroups by meaning, not URLs
Get startedUse cases
  • Cluster pages by cosine similarity, not folder structure
  • Overlay technical and AEO issues on semantic groups
  • Spot internal linking gaps between related topics
Silkra semantic map full site view in light mode

capabilities

See the site the way a model might partition it

Semantic mapping turns a crawl into a navigable map of topics, thin coverage, and overlapping intent. Issues and links become layers on that map instead of disconnected spreadsheets.

    Surface thin clusters and overlapping intent without manual tagging
    Layer crawl issues onto the map to see where meaning and quality diverge
    Use the link graph to find clusters that need stronger internal connections

cluster

Organizes into semantic groups — thin coverage and overlapping intent surface at a glance.

overlay

Layer technical and AEO issues onto the map to see exactly which parts of a site are semantically weak.

connect

Add the link graph to spot semantic clusters starved of internal linking — and the connections worth building.

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Get started locally

Download the local semantic spider that maps any site by meaning, simulates how AI retrieves it, and turns crawl data into audits, sheets, and AI-ready context.

for Macfor Windows

free to start