An AI engine optimization audit evaluates brand visibility, accuracy, and citations in AI-powered search engines. It highlights how a brand appears across ChatGPT, Gemini, Perplexity, and Bing Copilot, and identifies gaps in the facts, descriptions, and links these systems rely on. In contrast, a traditional SEO audit focuses on website rankings and technical health in classic search engines.

Understanding answer engine optimization (AEO) vs. traditional SEO has become mission-critical for content managers and marketing leaders as search shifts toward AI-generated responses, voice results, and zero-click experiences. While page ranking on Google is still important (for now), success increasingly depends on whether a brand stays visible when an AI system summarizes an answer.

At its core, an SEO audit is a step-by-step review of your website’s technical health, content quality, and search visibility. An SEO audit identifies technical, on-page, content, and link issues on a website. It helps SEO teams identify, prioritize, and fix the issues that block traffic, rankings, and, importantly, conversions. Businesses and SEO teams should create audits to identify opportunities that advance business goals and growth.

Entity-based SEO is a content optimization strategy built around concepts, relationships, and context rather than isolated keyword phrases. Search engines identify entities — distinct concepts, people, places, or things — and connect them through the Knowledge Graph to interpret meaning and determine topical authority.

Marketers use AEO and GEO interchangeably, but there is a difference, and that’s what will be defined and explained in this article. In brief, AEO optimizes content for answer boxes and voice search results, while GEO targets AI chatbot citations and generated summaries.