Google AI Mode

Structured data is machine-readable code — most commonly implemented as JSON-LD using the Schema.org vocabulary — that explicitly labels the entities, relationships, and facts on a webpage so search engines and AI engines can interpret them precisely instead of inferring them from text. Common types include Organization, Person, Article, FAQPage, HowTo, Product, Review, Event, and DefinedTerm. Why it matters for AEO and GEO: Structured data is the single most-leveraged technical SEO investment for AI search. AI engines use it to disambiguate entities, surface FAQ answers in AI Overviews, ground HowTo steps, and confirm authorship and credibility. A page with the right structured data is dramatically more likely to be cited verbatim by ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot than the same content without it. Structured data is not optional infrastructure for any brand serious about being cited in AI answers.

Gemini is Google's family of multimodal large language models that powers Google AI Mode, AI Overviews, the Gemini consumer app, and Google Workspace AI features. Gemini models can reason over text, images, audio, video, and code simultaneously, and they integrate tightly with Google Search, Google Knowledge Graph, and YouTube. Why it matters: Because Gemini is the engine behind every Google AI surface, optimizing for Gemini citation is effectively optimizing for the majority of branded AI search traffic in the United States. Brands earn Gemini visibility through Knowledge Graph entity strength, schema markup, high-authority backlinks, and content that answers questions in structured, citation-ready prose.

SearchGPT is OpenAI's AI-powered search product (now integrated into ChatGPT Search) that retrieves real-time web information and synthesizes it into conversational answers with inline source citations. It uses a combination of OpenAI's own crawler (OAI-SearchBot), Bing's index, and live web fetching to ground responses in current information rather than relying solely on the model's training data. Why it matters: SearchGPT is the dominant AI search surface for ChatGPT's hundreds of millions of users. Brands that earn citations here capture traffic and trust that previously went to Google. Optimization requires the same fundamentals as AEO: structured data, strong topical authority, third-party mentions, and content written in clear, citation-friendly passages.

Source attribution is the inline citation behavior of AI search engines — the linked sources that appear next to or beneath an AI-generated answer. Different engines attribute differently: Perplexity cites aggressively with numbered footnotes, ChatGPT Search shows source cards, Google AI Overviews surfaces a small carousel of sources, and Claude cites sparingly but reliably. Why it matters: Source attribution is the new SERP. A brand that gets attributed in an AI answer captures both clicks (for users who follow the citation) and trust signals (the brand becomes associated with that answer for every user who reads it). AEO is fundamentally about earning more, better-positioned source attributions.

Multimodal citations are AI-engine answers that incorporate not just text but also images, charts, video clips, and audio passages — each with its own source attribution. Google AI Mode and Gemini already surface inline images and video thumbnails alongside text answers, and ChatGPT Search regularly cites image sources. Why it matters: A brand whose visual assets (charts, infographics, product photos, founder portraits) carry proper alt text, structured-data attribution, and clean, fast-loading hosting becomes citable across more answer surfaces — capturing visibility that text-only optimization misses entirely. Multimodal-citation readiness is fast becoming a core AEO and GEO requirement.

Generative Engine Optimization (GEO) is the strategic practice of optimizing content to maximize its chances of being selected, retrieved, synthesized, and cited by AI-powered search engines and large language models (LLMs) such as Google's AI Overviews, ChatGPT, Perplexity, and Gemini. It extends beyond traditional SEO by focusing on factors like semantic clarity, strong E-E-A-T signals, factual accuracy, structured data, entity recognition, and the ability of content to serve as a reliable source for AI-generated responses. Why it matters: As AI systems increasingly act as intermediaries between users and information, getting your brand's content recognized and cited by these generative engines becomes critical for visibility and reputation. GEO requires a deep understanding of how AI models process and synthesize information, ensuring your content is not just discoverable but also trustworthy and digestible for intelligent systems, positioning your brand as a preferred source.