Answer Engine Optimization issues we check — and how to fix them

When someone asks ChatGPT to recommend a product in your category, is your store in the answer? Often it isn't. We check the structured data, page structure, and brand signals that help search and AI understand your products and describe them accurately — and we measure whether they actually cite you, or a competitor.

17 catalogued Answer Engine Optimization issues, each with step-by-step, platform-specific fixes.

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Answer Engine Optimization — common questions

What is Answer Engine Optimization (AEO)?+

Answer Engine Optimization (AEO) is the practice of structuring content and schema markup so AI systems and answer engines can extract accurate information from your pages and surface it in featured snippets, AI Overviews, rich results, and voice search answers.

Why does AEO matter for ecommerce stores?+

Complete product schema enables rich results — price, availability, and rating stars directly in search listings. Rich results have significantly higher click-through rates than standard results. AI systems also use schema to understand product relationships and attributes for shopping recommendations and comparison features.

What are the most common AEO gaps on ecommerce sites?+

The most common AEO issues are: incomplete Product schema (missing offers.availability, gtin, brand, aggregateRating), missing BreadcrumbList schema, no Review or AggregateRating schema despite having review data, category pages with no introductory content, and absent FAQPage schema on product and category pages.

How does SEOLZ handle AEO?+

After every audit SEOLZ builds a schema coverage matrix: every page type checked against every schema type it should carry, with coverage percentages and gap counts. AEO findings are triaged alongside SEO findings and include paste-ready schema JSON-LD for your specific platform and template.