AI Search & Discovery Terms Glossary

This section explains how AI-powered search works and why it matters for your business. Whether you’re trying to get found online or just understand how AI finds information, start here.

AEO (Answer Engine Optimization)

AEO is about structuring your content so AI-powered search tools can easily find it, understand it, and use it to answer questions. It’s like SEO — but designed for the age of AI search instead of traditional search results.

💡 Writing clear, direct answers to common questions on your website gives AI tools something easy to quote or reference.

AI Citation

An AI citation is when an AI tool references the source it pulled information from while generating an answer. It’s how AI shows its work — and how your business can get visibility without someone clicking to your website.

💡 If an AI answer says “according to [your website]” — that’s an AI citation. Getting cited regularly builds trust and authority over time.

AI Citation Rate

Citation rate measures how often your website or brand gets referenced by AI tools when they answer questions in your topic area. The higher your citation rate, the more visible you are in AI search.

💡 Think of it as your AI search score. Track it by testing relevant questions in tools like ChatGPT or Perplexity and seeing if your brand comes up.

AI Crawlers

AI crawlers are automated bots that scan websites on behalf of AI companies — reading your content so their systems can learn from it and reference it in answers. They work similarly to Google’s search bots.

💡 GPTBot (OpenAI), ClaudeBot (Anthropic), and PerplexityBot are examples. You can control whether they can access your site via your robots.txt file.

AI Discovery

AI discovery is the process of AI systems finding, understanding, and selecting content from websites to use in generated answers. If your content is easy to find and understand, AI is more likely to use it.

💡 Clear structure, plain language, and well-organised pages all help AI discover and use your content.

AI Overview (AIO)

An AI Overview is the summary box that appears at the top of some Google search results — a direct, AI-generated answer pulled from multiple websites, displayed before any links.

💡 You’ve probably seen these. They appear above the regular results and give users the short answer without needing to click. Getting featured here is the new front page.

AI Search

AI search gives you a direct answer instead of a list of links to scroll through. It reads multiple sources, pulls out the most relevant information, and presents it in plain language — like having a researcher do the work for you.

💡 Perplexity, Google’s AI Mode, and ChatGPT with browsing are all examples of AI search in action.

AI SEO

AI SEO is the practice of improving how visible your website is inside AI-powered search systems — not just traditional search engines like Google, but answer engines and conversational search tools too.

💡 Traditional SEO gets you found in search results. AI SEO gets you found in AI answers. Both matter now.

AI Share of Voice (ASoV)

AI Share of Voice measures how often your brand appears in AI-generated answers compared to your competitors, across the topics and questions that matter to your industry.

💡 If you search for “best AI training for small businesses” in five AI tools and your brand comes up in three of them — that’s strong AI share of voice.

AI Visibility

AI visibility is how easily AI systems can find, understand, trust, and reference your business or website when generating answers. The more visible you are to AI, the more likely it is to mention you.

💡 When someone asks ChatGPT to recommend an AI training provider and your business comes up — that’s AI visibility working for you.

AISO (AI Search Optimization)

AI Search Optimization is a broad umbrella term for all the strategies used to improve how your content performs inside AI-powered search systems and conversational answer engines.

💡 AEO, GEO, and LLMO all fall under the AISO umbrella. Different names, same goal: get AI to find and reference you.

Answer Engine

An answer engine is an AI-powered tool that gathers information from multiple sources and generates a direct answer to your question in natural language — rather than just showing you a list of links.

💡 ChatGPT, Claude, Gemini, and Perplexity are all answer engines. They’re changing how people search for information online.

Atomic Answer

An atomic answer is a short, self-contained response that fully answers one question without needing extra context. AI systems love them because they’re easy to extract and use in generated answers.

💡 “What is a prompt? A prompt is the instruction you give to an AI tool.” Short, complete, standalone. That’s an atomic answer — and it’s exactly what AI search tools look for.

Conversational Query

A conversational query is a natural, human-style question asked in an AI search tool — the way you’d actually speak, not the short keyword strings you’d type into Google.

💡 “What’s the best AI tool for someone who runs a small online shop?” is a conversational query. “AI tool ecommerce” is a keyword search. AI search is built for the first style.

Conversational Search

Conversational search lets you search the way you actually talk — asking follow-up questions, refining your request, and having a back-and-forth rather than starting a new search from scratch each time.

💡 “Best CRM for small business?” → “Which works best with Gmail?” → “How much does that one cost?” — that flowing exchange is conversational search.

Crawlability

Crawlability is how easy it is for search engines and AI bots to access and scan your website. If they can’t get in, your content won’t show up in search or AI-generated answers — no matter how good it is.

💡 Think of it like making sure your front door is unlocked before inviting guests in. A locked site is invisible to AI.

E-E-A-T

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It’s the framework Google and AI systems use to decide whether your content is credible enough to show, recommend, or reference.

💡 Writing from real experience, backing up claims with sources, and having a clear author bio all help improve your E-E-A-T — and your chances of being cited by AI.

Entity

In AI and search, an entity is any clearly identifiable person, business, brand, product, place, or topic that AI systems can recognise and connect to other information. Being a recognised entity makes you easier to find and reference.

💡 “AI Pathway” as a named business with a website, consistent descriptions, and online mentions is an entity. A vague, unnamed brand is not.

Entity Optimization

Entity optimization is the process of making sure AI systems and search engines clearly understand who your business is, what you do, and how you connect to relevant topics — so they can confidently reference you.

💡 Use your business name consistently across your website, social profiles, and online directories. Consistency is what turns a name into a recognised entity.

FAQ Schema

FAQ schema is a type of code added to your website that labels your question-and-answer content, so search engines and AI systems can easily identify and extract those answers for their results.

💡 If your FAQ page’s answers are showing up directly in search results, FAQ schema is likely the reason.

GEO (Generative Engine Optimization)

GEO focuses on making sure your content shows up inside AI-generated answers — not just traditional search results. It’s about being the source AI tools actually quote or draw from when responding to users.

💡 If an AI answer includes your brand’s name, statistic, or explanation as a source — GEO is doing its job.

GPTBot

GPTBot is OpenAI’s web crawler — the bot that scans websites to help train and improve ChatGPT and other OpenAI systems. It reads your content the same way a human would, just much faster.

💡 You can allow or block GPTBot from your site using your robots.txt settings. Most businesses should allow it to maintain AI visibility.

Indexing

Indexing is when a search engine or AI system stores your website content in its database so it can appear in search results and AI-generated answers. If your page isn’t indexed, it effectively doesn’t exist online.

💡 Getting indexed is step one. Ranking or being cited well is step two. You can’t skip step one.

Knowledge Graph

A knowledge graph is a structured map of connected information — people, businesses, topics, places — that AI systems and search engines use to understand how things relate to each other, not just what they are individually.

💡 When Google shows a panel about your business with your logo, description, and related links — that information comes from a knowledge graph.

LLMO (Large Language Model Optimization)

LLMO is the practice of optimising your content so large language models can better understand, retrieve, and accurately reference your information in their responses.

💡 Clear definitions, consistent terminology, and well-structured pages all help LLMs understand and use your content correctly.

llms.txt

llms.txt is a proposed website file — similar to robots.txt — that tells AI systems and large language models which content on your site is most important and how to understand it correctly.

💡 It’s still emerging, but forward-thinking website owners are already adding it. Think of it as leaving a welcome note for AI visitors.

Passage Retrieval

Passage retrieval is when AI systems scan through content and pull out the most relevant sections to answer a question — rather than reading everything or using the full page.

💡 Short paragraphs with clear, focused points are far easier for AI to retrieve than long, dense blocks of text. Structure your content with this in mind.

Query Fan-Out

Query fan-out is when AI systems break your single question into several smaller searches behind the scenes before pulling together a complete answer. You ask one thing; it investigates multiple angles.

💡 You ask “What’s the best AI tool for small business marketing?” and the AI quietly researches five related sub-questions before giving you one clear answer.

Recency Refresh

A recency refresh is a lightweight update to existing content — adding new stats, examples, or information — to signal to search engines and AI systems that your page is current and still relevant.

💡 You don’t always need to rewrite from scratch. Updating a post with a fresh statistic or recent example can re-activate it in search and AI systems.

Retrievability

Retrievability is how easily AI systems can find and extract information from your content. Well-structured, clearly written content is far more retrievable than dense, jargon-heavy pages.

💡 Short paragraphs, clear headings, and direct answers all improve retrievability — for both humans and AI.

Retrieval-Augmented Generation (RAG)

RAG is when an AI looks something up before it answers — like checking a book instead of guessing from memory. It connects the AI to real, external information sources before generating its response.

💡 If an AI can read your company documents and answer questions based on them, it’s probably using RAG.

Schema Markup

Schema markup is a type of code added to your website that puts labels on your content — telling AI and search engines: this is a business name, this is a review, this is a FAQ answer. It’s invisible to visitors but very useful to AI.

💡 It’s like tagging your filing cabinet clearly so anyone — or any AI — can find exactly what they’re looking for.

Search Intent

Search intent is the reason behind someone’s search — what they’re actually trying to achieve, not just the words they typed. AI systems try to understand intent before generating an answer.

💡 Someone searching “how to write a prompt” wants instructions. Someone searching “prompt examples” wants inspiration. Same topic, different intent — and AI treats them differently.

Semantic Drift

Semantic drift happens when you use inconsistent names, terms, or descriptions for the same thing across your website — confusing AI systems about what your business actually does or stands for.

💡 If you call yourself an “AI trainer” on one page and an “AI consultant” on another, AI systems may struggle to categorise you accurately. Pick your terms and stick to them.

Semantic Search

Semantic search understands what you mean, not just what you typed. Instead of matching exact keywords, it grasps the intent and meaning behind your question to return more relevant results.

💡 Search “good shoes for sore feet” and get results for orthopedic footwear — even though you didn’t use that word. That’s semantic search.

SEO (Search Engine Optimization)

SEO is the practice of improving your website so it appears higher in traditional search results on Google or Bing. It’s been around for years and is still important — but AI search is adding a new layer on top.

💡 Good SEO gets you found by people searching. Good GEO and AEO gets you found by AI answering. You need both.

Structured Data

Structured data is extra code added to a website that helps search engines and AI systems understand what the page is about — not just the words on it, but the meaning and context behind them.

💡 It’s like labelling your filing cabinet clearly so anyone — or any AI — can find exactly what they’re looking for, instantly.

Token Limit

A token limit is the maximum amount of text an AI system can read and process in one go. Very long documents or conversations can hit this limit, causing the AI to lose track of earlier content.

💡 If you’re feeding a long document into an AI tool and it seems to miss things, the token limit may be the reason. Break it into chunks.

Zero-Click Search

Zero-click search happens when a user gets their answer directly inside the search results or AI summary — without ever clicking through to a website. Great for the user, challenging for website traffic.

💡 Your content can still earn zero-click visibility by being the source AI references — even if no one clicks. That citation still builds brand trust