Verified workflows

SEO/GEO skills that turn ecommerce AI visibility checks into a repair plan.

AI Store Audit is built around a practical workflow layer: classify the store, collect public evidence, run ecommerce-specific checks, separate AI spot checks from reviewer judgement, and produce Fix Packs a team can implement.

The audit flow has three gates.

Each gate prevents a common AI SEO failure: guessing before crawling, mixing model outputs with facts, or giving recommendations without a retest path.

Route the site

Start with crawlability, indexability, page roles, internal links, schema, and evidence quality before choosing the ecommerce workflow.

Audit ecommerce evidence

Check product facts, Merchant listing readiness, trust pages, comparison gaps, buyer-query coverage, and AI crawler access.

Ship repair-ready fixes

Convert findings into page-level tasks, schema recommendations, content briefs, owner assignments, and retest criteria.

Start with the workflows that match buyer intent.

These pages are designed as service and method assets, not filler articles. They map directly to free previews, paid audits, and repair packages.

Run a free AI visibility preview first.

Submit a store URL and platform. The preview checks public evidence first, then shows whether the workflow should move into a paid audit or Fix Pack.