AI & AEO

Conversational Query

Quick Definition

A conversational query is a natural-language, often multi-sentence search input — typical of ChatGPT, Perplexity, voice assistants, and Google's lens-and-prompt surfaces.

In context

Conversational queries are longer, more context-rich, and often multi-turn ('I'm a small clinic in Toronto looking for an SEO agency, what should I look for?' rather than 'best Toronto SEO'). Optimising: cover the longer-tail conversational variants of your category in FAQ-style content, use natural language headings, and write in a tone that mirrors how a user would phrase the question. Conversational queries tend to surface citations from sources that match the user's framing rather than the user's keywords.

Example

A Canadian medical-spa site rewrote its 'Botox cost Toronto' page to also answer 'How much should I expect to spend on Botox in Toronto and what affects the price?' — ChatGPT citation rate for the conversational variant tripled.

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Related terms

Multi-Step Reasoning

Multi-step reasoning is when an LLM works through a problem across several intermediate steps rather than producing a single shot answer, increasing accuracy on complex queries.

Citation Staleness

Citation staleness is the gap between when AI engines were last updated to reflect your latest content and when those citations actually reflect current information — typically days to weeks for dominant AI search surfaces.

AI Answer Citation

AI answer citation is when an AI-generated answer explicitly attributes information to a source URL, often as inline citations or a sources list.

Chatbot SEO

Chatbot SEO is the emerging practice of optimizing brand visibility in AI assistants — ChatGPT, Claude, Gemini, Copilot — when users ask for recommendations.

Anchored Citation

An anchored citation is when an AI engine inline-links a specific factual claim in its answer back to the exact source URL, often with anchor text or a numbered superscript.

LLM Optimization

LLM optimization is the practice of structuring content so large language models can accurately understand and cite it.

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