A finding is not a fix. Ship the change, then measure it.
Audit findings route to the system that can make the change: your CMS, your code repo, your CDN, your tag container, or the review site and community thread where the problem lives. You approve, it ships, and the platform tracks what it did to your AI visibility.
Where it helps
Missed shortlist
Ship the schema, page and crawl fixes that keep AI from shortlisting you.
Wrong story
Correct the pages, profiles and listings AI reads its wrong facts from.
Lost at verification
Reply to reviews and community threads where buyers go to check you.
Part of the loop
- Observe
- Diagnose
- Recommend
- Act
- Measure
- Learn
Audit. Inbox. Dispatch. Measure.
- 01
Audit surfaces the issue
The audit (300+ automated checks) flags a problem. Each finding becomes a structured task in your inbox, not a line in a PDF. - 02
You see exactly what to change
The task says what is wrong, why it matters for AI citations, and the specific change. Your brand context is applied so the fix fits your voice. - 03
Approve and dispatch
Pick the channel and send it. The change lands in the right system without copy-pasting into tickets. - 04
Impact is measured
The platform records your AI visibility when the fix ships and compares it afterwards, per change, not as a blended average.
Every fix goes to the system that can make it.
WordPress, Webflow, Framer, Shopify
Content and CMS
GitHub
Code and repository
Cloudflare, Netlify
Edge and CDN
Google Tag Manager
Tags and measurement
Reviews, community, outreach
Off-site and reputation
API and webhooks
Anything else
Findings that sit in a backlog don't move AI visibility.
Most audits end as a list. Routine fixes then wait on developer time, and AI keeps citing the same pages and competitors while they wait.
Fix Dispatch closes that gap. Routine changes ship from the platform with your approval, and code changes reach your developers as a ready pull request instead of a ticket to interpret.