These questions cover the first issues normally raised by leadership, marketing, procurement, legal, and technical evaluators when considering GEO, AEO, or AI Optimization.
What is Generative Engine Optimization?
Generative Engine Optimization improves how generative systems retrieve, synthesize, and represent an organization or source. It combines entity clarity, decision-ready knowledge, evidence, relationships, structured meaning, and observation.
How is GEO different from SEO?
SEO primarily improves visibility and performance in search engines. GEO focuses on generative retrieval and answer synthesis. The disciplines overlap technically, but GEO requires stronger entity, evidence, source, and answer architecture.
What is Answer Engine Optimization?
Answer Engine Optimization improves the directness, completeness, reliability, and retrievability of answers to human questions. It is useful when information exists but does not resolve a decision clearly.
What is AI Optimization?
AI Optimization is the broader institutional discipline covering entity understanding, trust, evidence, knowledge, citations, recommendation readiness, monitoring, and governance.
Can Undercover.co.id guarantee that ChatGPT or Gemini will recommend a brand?
No. AI providers control retrieval and generation. Undercover.co.id improves the quality and traceability of the organization’s digital representation, then measures selected outputs with explicit limitations.
What does an AI Visibility Audit measure?
It examines entity recognition, description accuracy, buyer-intent coverage, source retrieval, citation behavior, competitor context, misinformation, ambiguity, and failure states across representative queries.
Do you only add schema markup?
No. Schema is one implementation layer. A complete program may include institutional discovery, Deep Intent, canonical pages, answer architecture, evidence, internal links, reciprocal relationships, source alignment, monitoring, and governance.
Can the work be performed under an NDA?
Confidential engagements can be structured under an NDA. Public disclosure, case-study use, raw evidence publication, and client naming remain subject to written approval and the applicable engagement terms.
How long does implementation take?
The timeline depends on the number of entities, websites, languages, services, locations, evidence gaps, approval requirements, and technical constraints. The audit establishes the sequence and acceptance criteria before a final implementation plan is approved.
How do you validate the work?
Validation covers exact URLs, Gutenberg integrity, rendered content, internal links, reciprocal relationships, schema count and validity, stable identifiers, evidence limitations, cache behavior, and repeatable observations.
Need a company-specific answer?
A useful recommendation depends on the organization’s entities, buyers, evidence, websites, markets, languages, and risk profile. Use the contact page to describe the decision you need to make.