Ask the crawl. Ship the work.

An agent that knows the whole site. Ask what needs attention, get answers with sources, and turn them into real work.

acme.com237 pages

Inside the agent workspace

Start with the complete crawl, bring in outside signals, and carry the evidence through to the work your team acts on.

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Research that starts with the crawl

Every investigation begins with the site underneath it: rendered content, technical fields, semantic groups, issues, and links. That foundation helps the agent find deeper patterns.

Where is thin content concentrated, and why?

Found 27 matching pages

Analyzed summary of 2,041 pages

Listed 5 semantic groups

Found 27 matching pages

Thin content concentrates in Templates and resources. 27 pages sit under /resources/templates, and most of them name the format — template, checklist, guide — instead of the job the page is for.

/resources/templates/content-brief and /resources/checklists/seo-audit are two of the thinnest, and they sit next to fuller guides that already cover the same workflow.
The cluster also has almost no inbound links from Content strategy, so those leftover pages stay isolated even when a related guide exists.

Carry the context from insight to action

Turn a finding into a plan the team can follow. The agent can outline the pattern, sequence a roadmap, and list the next actions from the crawl itself.

Thin content plan

27 thin pages cluster under /resources/templates. Most name the format — template, checklist, guide — instead of the job. This plan sequences the rewrite so the cluster can stand as useful pages, not leftover scaffolding.

Order of work

Rewrite titles and openings on the 14 template pages so each names a specific job.
Fold the 8 checklists that repeat a template into the parent page.
Add internal links from the related guides so the new pages are reachable.

After the rewrite

Re-crawl the cluster and compare word count, uniqueness, and in-group links against this baseline. Keep the original thin-content rows attached so the before and after stay in one place.

Enrich without losing the grounding

Pull keyword, backlink, performance, or competitive data from connected tools such as Ahrefs. Those external signals add another layer while the crawl remains the shared foundation.

Send the next step to the team

Turn a supported finding into a Linear or Jira issue with the affected pages, evidence, and recommendation already included.

Apply the fix where the page lives

Connected sites can take the change itself. The agent proposes an edit against the live values in WordPress or Webflow, and nothing is written until you approve the card.

Pull in outside data. Send out finished work.

Search Console and Ahrefs data sit next to the pages they describe. When it is time to act, the agent opens a ticket in Linear or Jira, or drafts the edit in WordPress, with the evidence already attached.

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How we think about agents

What AI agents need before they can audit a site

Built around AI, not bolted on

A lot of SEO tools are reshaping the dashboards they already had so they can say they have AI. The old product stays. A chat box gets added on top.

We built Silkra the other way. The crawl, the map, and the table were designed so an agent can work from them. This is an SEO workspace with AI as the foundation, not a feature on last year's UI.

Side by side, not a replacement

We are not trying to automate SEO jobs away. The agent is there so an SEO can work beside it: ask the crawl, see the evidence, and decide what matters.

That unlocks automation where it helps, deeper insight into patterns you would not sort by hand, and action on the pages that produced the finding. The operator still owns the work.

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Everything runs in one workspace, from the first crawl to the fix that ships.

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