AI Store Audit
Ecommerce SEO audit checklist with AI search

Ecommerce SEO audit checklist updated for AI search.

A modern ecommerce SEO audit checklist that adds AI search visibility checks for product facts, schema, buyer prompts, competitor citations, and answer readiness.

Why this page exists

This page bridges a mature SEO audit market into the newer AI visibility offer without forcing users to learn new jargon first.

Who it is for

Ecommerce marketers, freelancers, and store operators running a practical audit.

What the audit checks

The report connects each visibility problem to crawl evidence, AI answer samples, competitor risk, and a concrete repair step.

Technical crawl basics: robots, sitemap, indexable pages, and internal links
Product schema completeness and structured product facts
Collection-page buying criteria and comparison language
AI answer sampling for product, category, and competitor prompts
Sample report evidenceChargeable audit v0.2
High
AI visibility depends on the same crawl basics

If important pages are not crawlable, linked, or represented in sitemaps, AI search systems and traditional search engines both lose context.

Medium
Schema needs buyer-useful facts

Product schema should support the product story with brand, price, availability, images, identifiers, and review fields where the platform supports them.

Medium
Checklist items should map to fixes

Each item should tell the store what page to fix, what field or copy is missing, and why it matters for AI answers.

Buyer prompts to sample

Turn vague AI visibility into repeatable tests.

ecommerce SEO audit checklistAI SEO audit checklistecommerce technical SEO checklistAI search visibility checklist
  • SEO checklist
  • AI search add-on checks
  • Priority issue model
  • Store-scan call to action

Run a free preview for your store.

Submit a store URL, brand name, competitors, and buyer queries. The preview runs a real crawl first, then prepares the audit evidence for a paid report.