SEO and AI search, defined.

SEO (Search Engine Optimization) is optimizing for Google/Bing’s organic results. GEO (Generative Engine Optimization) is structuring content to be cited by AI engines like ChatGPT and Perplexity when they generate an answer. AEO (Answer Engine Optimization) targets direct-answer surfaces — Google AI Overviews, Bing Copilot, featured snippets. “AIO” is used inconsistently across the industry — sometimes as a synonym for GEO, sometimes for AI Overview optimization specifically — so we avoid it and use GEO/AEO, which have clearer, more consistent definitions.

AEO targets structured direct-answer surfaces with a defined format — Google AI Overviews, Bing Copilot, featured snippets — where concise, well-marked-up answers win a slot. GEO targets open-ended generative responses from AI assistants like ChatGPT, Claude, and Perplexity, where there’s no fixed answer box and the model decides what to cite based on how clearly your content demonstrates authority on the topic. In practice the two overlap: content built for GEO (clear structure, direct answers, credible sourcing) usually performs well for AEO too.

AI assistants cite sources they judge authoritative and easy to extract a clear answer from — not necessarily the sites that rank #1 on Google. That means clear, direct-answer content (this glossary’s format is a deliberate example), consistent factual claims across your site, structured data (FAQPage, DefinedTerm, Organization schema), and a presence on the third-party sites AI models already trust (review sites, comparison pages, forums). SearchChamp’s AI Visibility tracker shows exactly which prompts cite you today across every AI engine on your plan, so you can see what’s working before changing anything.

Every definition on this glossary is free to read — no account, no trial, no paywall. Where a term maps to a SearchChamp feature (like AI Visibility or llms.txt), we link to that tool’s page, which does require an account (7-day free trial, credit card required) to run against your own site.

A sitemap.xml tells search-engine crawlers which URLs exist on your site — it says nothing about which content is authoritative or how an AI model should interpret it. llms.txt is a proposed, AI-specific convention: a plain-Markdown file at your site root that gives large language models a curated, prioritized summary of your most important pages in a format they can parse directly, without crawling and re-rendering your whole site. It doesn’t guarantee a citation, but it removes a real barrier — many AI crawlers have limited budget per site, and a clear llms.txt increases the odds they read your best content first.

For Google ranking, E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is one signal among many in a ranking algorithm. For AI models, it’s closer to a gate: an assistant citing a source as fact is making a credibility claim on the user’s behalf, so models are tuned to prefer sources with clear authorship, verifiable claims, and a track record — especially for YMYL (Your Money or Your Life) topics like health, finance, and legal content, where a wrong citation carries real user harm.

Start with content structure: direct, extractable answers near the top of the page, clear headings that mirror how people actually ask the question, and consistent facts (a claim that contradicts itself across your own pages erodes model trust). Add structured data — FAQPage and DefinedTerm schema help models parse Q&A and definitional content specifically. Then measure: SearchChamp’s AI Visibility tracker runs up to 250 prompts against every AI engine on your plan so you can see which pages already get cited and which don’t, instead of guessing.

Yes — link to the specific glossary page rather than copying the definition verbatim; that keeps your readers pointed at updates as terms evolve (AI-search terminology is still settling) and gives you the SEO benefit of a live outbound link instead of static duplicated text.

The underlying concepts (AEO, GEO, AI Visibility, structured data) apply the same way regardless of platform — an AI model doesn’t know or care what your site runs on. What differs is implementation: SearchChamp’s WordPress plugin publishes optimized content and schema directly into your WP install, the Shopify integration does the equivalent for product and collection pages, and for a custom-built site you’d apply the same schema and content patterns manually or via the API.

Not as a standalone glossary subscription today. If you’re tracking AI visibility for your site, new citation-relevant terminology (like a new AI engine or answer format) typically shows up first as a tracked prompt or engine option inside the AI Visibility tracker, which does notify you of changes affecting your tracked prompts.