Store-specific
Recommendations should reflect your platform, catalog, customers, and actual business constraints.
The planned workflow keeps automation useful and accountable. It organizes the work, helps draft solutions, and leaves final approval with you.
Define the store, platform, business goals, important product groups, brand voice, and the data sources available for analysis.
Review crawl signals, indexation, internal linking, on-page elements, Search Console performance, analytics, and available product data.
Organize findings into practical queues. High-confidence, high-impact work rises above low-value warnings and cosmetic cleanup.
Create suggested titles, descriptions, internal links, structured data notes, or content revisions while preserving factual source information.
Review, edit, reject, or approve every proposed change. The intended workflow does not require blind automatic publishing.
Track implementation status and use later performance data to improve prioritization and future recommendations.
Recommendations should reflect your platform, catalog, customers, and actual business constraints.
Claims and generated copy should be grounded in approved product facts and available performance data.
Automation should make the workflow faster without quietly publishing changes you have not reviewed.
Join the early access list and share the ecommerce SEO bottlenecks you would most like to automate.
Request Early Access