From ranked links to generated answers
Traditional SEO optimizes for a ranked list of blue links. Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) optimize for a different outcome: being the source an AI assistant actually cites, quotes, or synthesizes into its answer.
That shift changes what 'good' looks like. A page can rank well in classic search while still being invisible to an AI answer engine if it lacks the structural and evidentiary signals those systems rely on.
What AI answer engines actually evaluate
Entity clarity — can the system tell what your page is about, and how it relates to other known entities? Semantic structure — are claims organized so they can be extracted cleanly? Answerability — does the page directly answer a plausible question rather than requiring inference?
Citation readiness and E-E-A-T (experience, expertise, authoritativeness, trust) signals also matter: authorship, sourcing, and freshness all factor into whether an AI system treats a page as citable evidence.
Crawler access is a prerequisite, not an afterthought
None of the above matters if verified AI crawlers can't reach the page in the first place. That means checking robots directives against known AI/search crawler user agents, and — where supported — publishing an `llms.txt` file that gives AI systems an explicit, machine-readable summary of what your site offers.
WebOptiva's AI Search/GEO audit checks all of this directly: entity and semantic structure, answerability, citation readiness, verified crawler access, structured facts for products/organizations/people/articles/FAQs/local businesses, and `llms.txt` discovery — replacing guesswork with evidence-backed readiness dimensions.