Why does AI recommend your competitor, not you?

Generative engine optimization helps AI search and answer systems understand when a product is relevant and which information they can use. As a connected skill of Bob, the Product Catalog Agent, GEO checks product visibility and improves approved attributes, titles, descriptions, and structured content without promising a citation.

Answer engine optimization prepares content to be useful in direct answers, not only in lists of search results. Bob’s GEO skill supports AEO by improving the clear, structured product information that answer systems can read, alongside your wider SEO work.

SEO focuses mainly on visibility in traditional search results, while AEO focuses on being useful and eligible for direct or generated answers. They overlap in content quality and structured data, so Bob improves the shared product foundation rather than treating them as separate catalogs.

LLM SEO, LLMO, and GEO are related terms for improving how products and brands are understood in AI-generated answers. Bob’s GEO skill applies that work to product catalogs by keeping approved product details clear, complete, structured, and consistent.

Those products cover broader SEO research, content, and performance workflows. Bob’s GEO skill focuses on the product catalog itself and can carry approved data improvements into your connected publishing process, rather than operating as a separate GEO agent.

Schema markup is one part of the work, not the whole skill. Bob can also improve the underlying product attributes, titles, descriptions, and structured content, then help maintain approved updates as the catalog changes.

GEO is available as a connected skill of Bob, not as a separate agent. It is designed for retail catalogs and is configured around your product data, target questions, review rules, and publishing process.

Useful measures include structured-data coverage, product-attribute completeness, visibility for the questions you track, referral traffic from AI surfaces, and relevant business outcomes. The assignment should define a baseline and measurement scope before changes begin.

Bob’s GEO skill is useful for retailers with broad or changing catalogs, uneven product information, or products that customers often research and compare. A small, stable catalog with complete data may need a narrower review rather than ongoing optimization.

There is no fixed timeline because each service decides when to crawl, ingest, and use updated information. Data quality and structured-content improvements can be checked first, while visibility, citations, and traffic should be measured over time without assuming placement.

It uses AI in support of search visibility, but it is not a standalone AI SEO product. GEO is a connected skill of Bob that checks catalog visibility, prepares approved product-data changes, and keeps the work tied to your wider catalog goals and controls.