The work stays connected from evidence to outcome.

Every cycle starts from the same question a buyer would actually ask, not a keyword list. Foliora reads the site or catalog, generates a panel of buyer questions from what is actually being sold, checks current Google positions for those questions, and samples ChatGPT and Gemini to see who gets named instead of you.

• A dated buyer-question panel tied to your catalog or product
• Current Google position bands for each question
• The competing sources cited or ranked in your place, per question

First-party expertise and the gap identified in research turn into a specific, reviewable proposal — a restructured heading, a passage rewrite, a new page, or a metadata change — tied back to the exact question and evidence that justified it. Nothing here is a generic draft; every proposal names the resource it will change.

• The affected page or resource, named explicitly
• The exact proposed text, schema, or code change
• The evidence and buyer question the change answers
• A risk classification for the type of change

You see the literal before-and-after, not a paraphrase of intent — the current heading and passage next to the proposed rewrite, side by side. Approval binds to that specific version; if the underlying page changes before you decide, the proposal is rebuilt rather than pushed through on stale information.

• The before state and the after state, both stored
• A hash or identifier locking approval to that exact version
• The named approver and timestamp

Once approved, Foliora publishes through the connected Shopify, WordPress, or Webflow integration, or opens a GitHub pull request on a code-owned site. Preview deployments on Vercel or Cloudflare can be inspected before merge. If you skip a publisher, you still get the exact approved diff to apply yourself or through a customer-owned agent. Foliora never writes through a side channel that bypasses the platform's own record.

• A snapshot of the resource immediately before the write
• The publisher receipt, pull-request URL, or handed-off diff
• An immutable record tying the write back to its approval

An API success response is a claim, not a result. Foliora re-fetches the actual rendered page — response code, canonical, schema, the specific content that changed, internal links — and only a match against the approved diff closes the loop. Then it re-asks the same buyer questions on the same schedule and dates the result, so search and citation movement are read against a specific published change, not a vague sense that something got better.

• Rendered verification: response, canonical, schema, links
• Re-run buyer questions with dated, stored responses
• A before-and-after pair on the specific question the change targeted