Group the issue, not the URL
Roll the same missing description into one template problem instead of four thousand rows.
Clear the foundations in one pass.
Audit the full story, not just another spreadsheet.
Technical SEO work usually starts with a crawl and stalls at the export — thousands of rows, a dozen issue types, and no clear read on which of them are costing you anything.
How Silkra solves it
Sort by what the page is worth
Order work by page value and link reach, not by how many times the issue appears.
Leave a trail someone can follow
Every finding stays attached to the crawl, so notes and briefs can cite the page they came from.
The work it takes off your plate
Rendered page evidence
Keep rendered HTML, headings, canonicals, status codes, and links attached to every URL.
Issue grouping that makes sense
Roll repeated issues up by template, directory, and topic instead of treating every URL as unique.
Prioritize by page value
Sort findings by the pages they touch instead of by raw issue counts.
AEO and SEO in one pass
See how technical issues connect to page meaning and the evidence agents need to answer from the site.
Topic-level discovery
Find clusters of pages around the same subject so issues sit next to coverage and intent.
Cleaner audit handoff
Move from investigation to notes and recommendations with page-level proof on every claim.
Agent-ready audit inputs
Give AI workflows crawl context they can query without pasting fragments from another export.
Group work by template
Fix the template once rather than walking nine hundred URLs one row at a time.
See what changed since last crawl
Re-scrape and keep first-seen and content-changed history on every page.
Related use cases
Give agents SEO evidence, not slop
Crawl, chunk, and embed any site on your machine, then hand your agents the passages and page evidence behind every answer.
free to start