
I built a mostly autonomous Shopify SEO workflow and need completely open feedback
Founder disclosure: I built MGO Data and its DT model.
DT handles most of the work automatically:
- Audits the store
- Diagnoses technical SEO and AI-visibility issues
- Prioritizes what should be addressed
- Creates individual tasks
- Drafts supported fixes
- Sends them for merchant approval
- Applies supported Shopify changes
- Checks the live result
- Rolls back failed or conflicting changes
The merchant does not have to understand every SEO term or manually turn an audit into a
plan. Approval is required before DT changes the store.
Current automatic Shopify writes include supported SEO titles, meta descriptions, and
eligible sitewide JSON-LD. Content and FAQ tasks can be planned, but full content
publishing is not automatic yet.
DT also has an advertising lane that turns business goals, economics, offers, and creative
assets into structured Meta, Google Search, and TikTok campaign plans. It prepares
campaign and ad-set structures, including supported Meta CBO/ABO decisions, checks
tracking and account readiness, and places actions behind approval.
I am not claiming guaranteed rankings, AI citations, or proven advertising performance.
Real ad-account execution is still being validated.
MGO Data is currently free to test. I want completely open feedback about anything useful,
incorrect, confusing, missing, unnecessary, or difficult to trust.