Glossary AI search
AI search
These terms map how AI search actually answers a buyer's question and whether your catalog gets cited. AI Overviews, AI Mode, and the generative and answer engines pull from your PIM and part data, then either name you or hallucinate attribution to a competitor. GEO, AEO, and citation engineering are how we fix that.
14 terms
AI Mode
AI Mode is Google's conversational, generative search experience, where a single question triggers a query fan-out (many related sub-queries run at once) and the results are synthesized into one written answer with links to cited sources, rather than a list of ten blue links.
AI Overviews
AI Overviews are Google's AI-generated answer summaries shown above traditional results for many queries, citing a handful of source links. As of 2026 they appear on roughly 20-50% of searches (estimates vary widely by tracker and query mix), and most cited URLs are no longer drawn from the organic top 10.
AI search optimization
AI search optimization is the umbrella discipline of making a brand discoverable, trusted, and citable across AI-powered search surfaces (Google AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini). It spans GEO and AEO and extends into entity governance, structured data, and AI-crawler access. Also called AISO, AIO, or LLMO; terminology remains unsettled.
Answer engine
An answer engine is a search interface that returns a single synthesized answer instead of a ranked list of links, usually citing a handful of sources it drew from. The term predates generative AI (Ask Jeeves was described as one in the late 1990s, and WolframAlpha later) but now mostly means LLM-based tools like ChatGPT, Perplexity, and Google AI Overviews.
Answer engine optimization (AEO)
AEO is the practice of formatting content as direct, extractable answers (concise definitions, question-led sections, comparison tables) so answer engines like AI Overviews, Perplexity, and ChatGPT can lift a complete response and, ideally, cite your site. Attribution varies by engine and isn't guaranteed.
Brand hallucination
Brand hallucination is when an AI model states false facts about a brand: products it does not sell, specs it never published, or policies that do not exist. It describes what an engine got wrong about you, separate from hallucinated attribution, which is wrongly crediting who said something.
Citation engineering
Citation engineering is the practice of deliberately structuring content, entities, and corroborating evidence so AI answer engines (ChatGPT, Perplexity, Google AI Overviews, Gemini) name your domain as a cited source. A citation-focused slice of GEO/AEO, it targets attribution in generated answers as the outcome — not blue-link rank, and distinct from local-SEO citation building (NAP business listings).
Generative engine
A generative engine is an AI system that composes a synthesized answer from multiple sources instead of returning a list of links. ChatGPT, Perplexity, and Google AI Overviews are examples. It is the engine that generative engine optimization targets.
Generative engine optimization (GEO)
Generative engine optimization (GEO), coined in a 2023 Princeton/Georgia Tech paper (arXiv 2311.09735), is structuring a brand's content and data so AI answer engines (ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini) retrieve, summarize, and cite it in generated answers, rather than only ranking in a list of links. The term overlaps with AEO and "AI SEO."
Hallucinated attribution
Hallucinated attribution is when an AI answer credits a claim, spec, or quote to a brand or source that never published it. The information is fabricated or misassigned, and the named source carries the blame in the buyer's eyes even though it said nothing.
LLM SEO
LLM SEO is optimizing content so the large language models behind ChatGPT, Gemini, Perplexity, Copilot, and Claude surface and cite a brand in their answers. It overlaps heavily with GEO, AEO, and LLMO and is largely a catch-all synonym for AI search optimization rather than a distinct discipline.
LLM citation
An LLM citation is the source reference an AI answer engine (ChatGPT, Perplexity, Google AI Overviews) attaches to a generated answer, naming a page it claims to have drawn from. Earning citations differs from ranking: across AI assistants, most cited URLs don't rank in Google's top 10, though Google's AI Overviews still favor top-ranked pages more heavily.
Prompt-shaped demand
Prompt-shaped demand is buyer demand that surfaces as natural-language prompts to AI assistants instead of keyword searches. Because keyword tools sample search boxes and not AI chats, this intent reads as near-zero volume even when real buyers are asking the question daily.
Query fan-out
Query fan-out is the technique Google's AI Mode (and similar AI search) uses to answer one prompt by silently issuing several related sub-queries, gathering passages for each, then synthesizing them — so pages that cleanly answer a sub-question can get pulled into the final answer even if they don't rank highly for the original query.
Find the hole. Then decide.
Most owners think they need more leads. They usually don’t. The calls that ring out and the quotes nobody chased are a bigger hole than the ad budget. Either way you leave with the numbers: the exact gap and the highest-payback fix, whether or not you hire us.