Search Everywhere Optimization: GEO, AEO and AI Visibility

Find out why AI-powered search now decides which brands get named, how this course covers Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO), and what you need before you start.

Learn what signals cause large language models to discover, trust, and cite content when responding to user queries.

Evaluate a set of web pages against GEO content signal criteria to identify citation-readiness gaps and opportunities.

Learn how to develop topical depth, credibility signals, and E-E-A-T indicators that make content citation-worthy for AI models.

Assess a brand's current authority signals and develop a plan to build topical depth and E-E-A-T indicators for a target subject area.

Learn how to structure content to directly answer conversational queries from AI assistants and answer engines.

Rewrite or restructure existing content to directly address high-value conversational queries and improve performance in AI answer engines.

Learn how JSON-LD schema markup helps search engines and AI systems understand, categorize, and surface content as rich results.

Write and validate JSON-LD schema markup for FAQ and product pages, including the Organization fields (sameAs, knowsAbout) that help AI systems resolve who a brand is.

Learn the strategies for positioning content to appear as cited sources in Google AI Overviews and other generative search features.

Rewrite and format a target page to increase its likelihood of being cited in Google AI Overviews for relevant queries.

Learn how autonomous shopping agents discover and act on product information, which machine-readable fields they depend on, how the ACP and UCP protocols build on those fields, and how shopping platforms differ in naming the pages behind their recommendations.

Read a product page the way an autonomous buyer does, encode its price, availability, and return policy as validated Product schema, and document the before-and-after change in agent discoverability.

Learn how to sample brand citations across AI platforms, what belongs in a citation baseline report, and why a frequently cited query can still be a problem rather than a win.

Design and execute a citation tracking methodology to measure a brand's visibility across major AI search platforms and produce a baseline report.

Learn how to conduct a systematic audit of a brand's AI search visibility across GEO and AEO dimensions to identify optimization priorities.

Run a structured GEO/AEO audit on a brand's digital presence and produce a prioritized findings report with recommendations.

Look back on what you can now do: diagnose and rewrite pages for citation, mark up content so machines understand it, and measure the change. Then see why the next step is making visibility work automatically, at scale.