Glossary
Plain-English definitions of the terms that decide which brands AI engines cite and recommend — from GEO and entities to citation gaps and share of voice. Bookmark it; the field moves fast.
Agentic search is when autonomous AI agents browse, evaluate, and synthesize information on a user's behalf — completing multi-step research or even purchases without manual clicking. Automated agent and crawler traffic is now a major and growing share of all web activity.
Why it matters: Increasingly the "visitor" you're optimizing for is an AI agent, not a person — and it judges your content on machine-readability, not design.
Related: AI Agent · AI Crawlers · RAG
An AI agent is an autonomous system that can browse the web, interpret content, and take actions toward a goal without step-by-step human direction — from researching vendors to completing transactions.
Why it matters: As agents act on buyers' behalf, brands that are easy for an agent to parse and verify get shortlisted; those that aren't get skipped silently.
Related: Agentic Search · LLM
AI crawlers are the automated agents AI companies use to access web content for their models — including OpenAI's GPTBot, PerplexityBot, Anthropic's ClaudeBot, and Google-Extended. Whether each is allowed in robots.txt determines if a brand can appear in that engine.
Why it matters: block ClaudeBot and you're invisible in Claude, no matter how good your content is. Access is binary — and often accidentally off.
Related: Crawlability · Retrievability
AI referral traffic is website visits that originate from an AI tool, such as a user clicking a citation in Perplexity or ChatGPT. Tracking it is how brands connect AI visibility to real, measurable traffic.
Why it matters: it's the first hard evidence that AI visibility is sending real people to your site, not just mentions in the abstract.
Related: Pipeline Attribution · Citation · Zero-Click Search
AI SEO is an umbrella term for optimizing a brand's visibility across AI-driven search, spanning GEO, AEO, and traditional SEO as one combined discipline. It reflects that ranking and being cited are now a single, connected goal.
Why it matters: It's the term buyers reach for when they sense SEO has changed but haven't split it into GEO and AEO yet — the on-ramp to the whole conversation.
AI visibility is how frequently and prominently a brand is cited, mentioned, or recommended across AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. It's the AI-era equivalent of search visibility.
Why it matters: It's the single number that captures whether AI is putting you in front of buyers — the outcome every GEO effort is ultimately measured against.
Related: GEO · Share of Voice · Citation · Our GEO service →
Alt text is the written description of an image in HTML, used by screen readers and by search and AI systems to understand visual content. It's essential for accessibility and image discoverability.
Why it matters: As AI search turns multimodal, descriptive alt text is how your images become understandable — and potentially citable — content.
Related: Multimodal · Schema Markup
An answer engine is a search interface that returns a single synthesized answer instead of a list of links — including ChatGPT, Perplexity, Gemini, and Google AI Overviews. Answer engines cite only a handful of sources per response.
Why it matters: the competition shifts from being one of ten results ranked to being one of a few sources named. Scarcer slots, higher stakes.
Related: LLM · Google AI Overviews · Zero-Click Search
AEO is the practice of structuring content so answer engines can lift it as a direct answer — in featured snippets, Google AI Overviews, and conversational AI. It favors concise, self-contained answers placed high on the page, question-style headings, and supporting schema.
Why it matters: AEO is the content-side craft that makes a page extractable — the bridge between ranking on Google and being quoted by an AI.
Related: GEO · Citation Readiness · FAQPage Schema
A brand mention is any reference to a brand across the web, with or without a link. AI engines recognize unlinked mentions, and brand mentions correlate more strongly with AI search visibility than backlinks do.
Why it matters: it reframes authority-building away from link volume and toward being talked about in the places AI reads.
Related: Earned Media · Digital PR · E-E-A-T
A canonical tag is an HTML signal that tells search engines which version of a page is the primary one when duplicate or similar pages exist. It consolidates ranking signals onto a single URL.
Why it matters: It prevents duplicate content from splitting your authority across near-identical pages — a common, quiet technical drain.
Related: Indexation · SEO
ChatGPT is OpenAI's conversational AI assistant and the most widely used answer engine, able to browse the web and cite sources in its responses. For many B2B buyers it's the first place they research vendors and compare options.
Why it matters: It's the largest single AI surface your buyers use — being cited in ChatGPT often matters more than any other engine.
Related: Answer Engine · LLM · AI Crawlers
A citation is a reference to a brand as a source within an AI-generated answer — the AI-era equivalent of a ranking. Being cited means the AI both used and credited a brand's content.
Why it matters: citations put you in front of the buyer at the exact moment of decision, which is why we measure them the way SEO measures rankings.
Related: Citation Gap · Brand Mention · Share of Voice
A citation gap is the difference between the queries where a brand appears in AI answers and the queries where its competitors appear. It's the most commercially useful GEO diagnostic — a precise list of the buying questions a brand is losing.
Why it matters: it turns "we're invisible in AI" into a specific, prioritized list of winnable queries — the starting point of a real GEO plan.
Related: Citation · Share of Voice · Prompt · Our GEO service →
Citation readiness is how well content is structured to be extracted, summarized, and cited accurately by AI — direct answers up front, question-shaped headings, self-contained sections, and schema. AI reads only the first portion of a page.
Why it matters: a brilliant page that buries its answer or rambles simply won't be cited — structure, not just quality, decides extractability.
Related: AEO · Retrievability · Pillar Page
Claude is Anthropic's AI assistant, known for careful, long-form reasoning and used widely in professional and technical contexts. It draws on web content its ClaudeBot crawler can access when generating answers.
Why it matters: Claude's user base skews technical and enterprise, so being cited there reaches exactly the buyers many B2B brands care about most.
Related: Answer Engine · LLM · AI Crawlers
Co-occurrence is how often a brand is mentioned alongside specific category keywords or competitor names across the web. AI models read these patterns to understand which brands belong to a category and how they relate to each other.
Why it matters: It's how AI learns you're a real player in your space—being named next to the right topics and rivals maps you onto the competitive landscape.
Related: Entity · Brand Mention · Semantic Search
Core Web Vitals are Google's measures of real-world page experience — loading speed, interactivity, and visual stability. They're a technical-SEO ranking factor and part of a healthy, crawlable site.
Why it matters: They won't win you AI citations alone, but a slow, unstable site undermines the technical foundation both Google and AI reward.
Related: SEO · Crawlability · Our SEO service →
Crawlability is whether search-engine and AI crawlers can access and read a site's content. Brands often unknowingly block AI crawlers in robots.txt, CDN settings, or behind JavaScript most crawlers can't execute.
Why it matters: content a crawler can't reach can never be indexed, ranked, or cited — it's the first thing any real audit checks.
Related: AI Crawlers · Retrievability · SEO
Digital PR is the practice of earning brand mentions, citations, and authority on trusted third-party sources to lift both search rankings and AI citation likelihood. Unlike traditional PR, it optimizes for measurable authority signals, not impressions.
Why it matters: it's the execution engine that produces the earned authority GEO and SEO both depend on.
Related: Earned Media · Brand Mention · Our Digital PR service →
Domain Rating (Ahrefs) and Domain Authority (Moz) are third-party scores estimating a site's overall backlink strength on a 0–100 scale. They're useful directional signals but aren't official Google or AI metrics.
Why it matters: We treat them as context, not targets — chasing a DR number is the vanity-metric trap; earned authority and citations are what actually move pipeline.
Related: Link Building · Pipeline Attribution
E-E-A-T is Google's framework for Experience, Expertise, Authoritativeness, and Trustworthiness, used to assess content quality. AI engines apply the same underlying signals — named authors, credentials, and earned authority — when deciding which sources to trust.
Why it matters: the signals that make Google trust you are largely the signals that make AI cite you, so the effort compounds across both.
Related: Earned Media · Brand Mention · Digital PR
Earned media is third-party coverage and mentions a brand earns rather than pays for or owns — editorial articles, reviews, and community references. The large majority of AI citations trace back to earned, third-party sources.
Why it matters: it's the single biggest lever on AI visibility — AI trusts what others say about you far more than what you say about yourself.
Related: Digital PR · Brand Mention · E-E-A-T · Our Digital PR service →
An entity is a distinct, machine-understood concept — a company, product, person, or place — that AI and search engines recognize and connect to other entities. Clear, consistent entity signals are how an AI knows who a brand is.
Why it matters: if AI can't resolve you as a clear entity, it either describes you inaccurately or leaves you out of the answer entirely.
Related: Entity Optimization · Knowledge Graph · Hallucination
Entity optimization is the work of aligning how a brand is described across its site, structured data, and third-party sources so AI builds one accurate, authoritative picture of it. Conflicting descriptions cause inaccurate answers or deprioritization.
Why it matters: it's the difference between AI confidently recommending you and AI hedging, confusing you with a competitor, or skipping you.
Related: Entity · Schema Markup · Knowledge Graph
Entity salience is a measure of how central an entity is to a piece of text, versus a passing mention. Higher salience signals to AI and search engines that a page is genuinely about that entity, not just referencing it.
Why it matters: High salience is how you get recognized as the primary subject of your own content—so AI treats you as the answer, not a footnote.
Related: Entity · Entity Optimization · Semantic Search
FAQPage schema is a structured-data type that labels visible question-and-answer content so engines can identify each question and its accepted answer. It's a priority schema type for AI search because Q&A maps directly to how buyers query AI.
Why it matters: it turns your FAQ into machine-readable answers — but the schema must match the visible text exactly, or it works against you.
Related: Schema Markup · AEO · Citation Readiness
A featured snippet is a highlighted answer box at the top of Google's results that pulls a direct answer from a ranking page. It's the traditional-search ancestor of AI-extracted answers.
Why it matters: Winning snippets is practice for winning AI citations — both reward the same concise, self-contained answers.
Related: AEO · SERP · Citation Readiness
Gemini is Google's family of AI models, powering its standalone assistant and feeding Google's AI Overviews and AI Mode. It's deeply integrated across Google's search and workspace products.
Why it matters: Because Gemini underpins Google's own AI surfaces, visibility here connects directly to the AI answers appearing inside the world's largest search engine.
Related: Google AI Overviews · Google AI Mode · LLM
GEO is the practice of structuring a brand and its content so AI systems like ChatGPT, Perplexity, Gemini, and Google AI Overviews cite and recommend it when buyers ask questions. Where SEO optimizes for ranking a page, GEO optimizes for being named inside the AI-generated answer itself.
Why it matters: when an AI returns one answer instead of ten links, GEO decides whether that answer names you or a competitor.
Related: AEO · Citation · Retrievability · Our GEO service →
Google AI Mode is a dedicated conversational search experience within Google that returns fully AI-generated answers rather than a list of links. It represents Google's deepest move toward answer-first search.
Why it matters: As AI Mode adoption grows, more Google queries are answered without any link click — making citation inside the answer the visibility that counts.
Related: Google AI Overviews · Gemini · Zero-Click Search
Google AI Overviews are AI-generated summaries that appear above traditional search results, synthesizing an answer from multiple sources and citing them. They place the cited brands at the very top of the results page.
Why it matters: an AI Overview citation can sit above the #1 organic result — visibility you can't buy with rankings alone.
Related: Answer Engine · Zero-Click Search · Schema Markup
Grounding is anchoring an AI-generated answer to retrieved, verifiable web sources so the model can cite them, instead of answering purely from its training data. It's what turns a confident guess into a sourced response.
Why it matters: Grounded answers are the ones that carry citations — so being a source an engine grounds against is how you get named.
Related: RAG · Citation · Hallucination
A hallucination is when an AI states something false or fabricated with confidence — including inaccurate claims about a brand's products, pricing, or capabilities. Strong entity signals and citation-ready content reduce the risk.
Why it matters: AI misdescribing your product to a buyer is an active liability, not just a missed opportunity — accuracy is a defensible reason to invest in GEO.
Related: Entity · Entity Optimization · LLM
Indexation is the process by which a search engine stores and organizes a page after crawling it, making it eligible to appear in results. A crawled page that isn't indexed can never rank or be surfaced.
Why it matters: It's a silent failure point — pages can be live and crawlable yet unindexed, invisible to both search and AI.
Related: Crawlability · Retrievability
Information gain is the net-new value a piece of content adds beyond what already exists on a topic. Google and AI engines increasingly reward content that contributes original insight over pages that merely restate the consensus.
Why it matters: It's why thin, me-too content no longer earns citations—AI favors the source that adds something, not the tenth page saying the same thing.
Related: Citation Readiness · E-E-A-T · Semantic Search
Internal linking is the practice of connecting your own pages with contextual links, helping engines understand site structure, distribute authority, and see how topics relate. It's the backbone of a topic cluster.
Why it matters: Strong internal linking is how a pillar page and its cluster signal topical authority — the depth AI and Google both reward.
Related: Topic Cluster · Pillar Page
JSON-LD (JavaScript Object Notation for Linked Data) is the format Google recommends for adding schema markup to a page. It sits in a script block in the code and describes entities and relationships without altering the visible content.
Why it matters: It's the actual method behind the structured data referenced across this glossary—how machine-readable meaning gets deployed in practice.
Related: Schema Markup · FAQPage Schema · Entity Optimization
A knowledge graph is a structured database of entities and the relationships between them, used by Google and AI systems to understand how concepts connect. Presence in it reinforces that a brand is a real, recognized entity.
Why it matters: brands in the knowledge graph are treated as established facts; brands outside it have to work harder to be believed.
Related: Entity · Schema Markup
An LLM is an AI model trained on vast amounts of text to generate human-like responses, powering tools like ChatGPT, Claude, and Gemini. LLMs synthesize answers from many sources rather than returning a list of links.
Why it matters: because an LLM blends sources into one answer, the goal isn't to rank — it's to be a source the model trusts enough to pull from.
Related: Answer Engine · Hallucination · Prompt
Link building is the practice of earning links from other websites to yours, historically a core SEO authority signal. In the AI era the emphasis shifts from link volume toward earned mentions and citation context.
Why it matters: Links still matter, but chasing volume is the trap — brand mentions correlate far more strongly with AI visibility, so authority beats quantity.
Related: Brand Mention · Earned Media · Digital PR
LLMO, or Large Language Model Optimization, is an emerging synonym for optimizing content and brand signals so large language models cite and recommend you. In practice it overlaps heavily with GEO.
Why it matters: It's one of several competing labels for the same work — worth knowing because a prospect may use it instead of GEO.
llms.txt is a proposed standard file that gives AI systems a curated, machine-readable summary of a site's most important content. Like robots.txt for crawlers, it aims to help LLMs find and correctly interpret a brand's key information.
Why it matters: it's early and unproven, but it signals where AI-first site infrastructure is heading — worth watching, not yet betting on.
Related: AI Crawlers · Schema Markup
Meta AI is the assistant built into Facebook, Instagram, WhatsApp, and Messenger, giving it enormous reach across consumer platforms. It answers questions and makes recommendations directly inside Meta's apps.
Why it matters: Its distribution is vast, and for B2B brands with any social discovery footprint it's an emerging surface worth monitoring.
Related: Answer Engine · LLM
A meta description is the short HTML summary of a page that search engines may display beneath the title in results. It doesn't directly affect rankings but influences whether users click.
Why it matters: It's your ad copy in the results — weak descriptions cost clicks even when you rank well.
Microsoft Copilot is Microsoft's AI assistant, built on OpenAI models and embedded across Bing, Windows, and Microsoft 365. It surfaces AI answers to users inside the tools they already work in every day.
Why it matters: Copilot reaches buyers inside enterprise workflows — Office, Teams, Bing — making it a quietly important surface for B2B visibility.
Related: Answer Engine · LLM · AI Crawlers
Multimodal refers to AI systems that process and generate more than one content type — text, images, video, and audio together. AI search is increasingly multimodal, pulling from visual and video content, not just text.
Why it matters: As engines read images and video, optimized visual content with proper metadata becomes a citation surface, not just decoration.
Related: Schema Markup · Citation Readiness
Natural Language Processing is the branch of AI that lets machines understand, interpret, and generate human language. It's the technology underneath everything from search-query interpretation to the answers an LLM produces.
Why it matters: NLP is why search moved from matching keywords to understanding meaning—the shift that makes entities and intent matter more than exact phrasing.
Related: Semantic Search · LLM · Entity
An orphan page is a page on a site with no internal links pointing to it. Because crawlers discover content by following links, orphan pages are often missed entirely—invisible to search engines and AI alike.
Why it matters: A page nothing links to is a page AI can't find or cite—which is why internal linking is a retrievability issue, not just navigation.
Related: Internal Linking · Crawlability · Indexation
Passage indexing is a search engine's ability to rank and surface a specific passage within a long page for a narrow query, rather than the whole page. It lets a single strong section earn visibility on its own.
Why it matters: It rewards content where each section fully answers one thing — the same self-contained structure that makes a passage citable by AI.
Related: Citation Readiness · AEO
Perplexity is an AI answer engine built specifically around search, citing its sources prominently in every response. It's known for surfacing and linking the sources behind its answers more visibly than most rivals.
Why it matters: Because Perplexity foregrounds citations, being named there drives real referral traffic — not just a mention, but a click.
Related: Answer Engine · Citation · AI Referral Traffic
A pillar page is a comprehensive page covering a core topic in full, acting as the hub of a topic cluster and linking out to supporting content. It concentrates topical authority in one place.
Why it matters: pillar pages are among the strongest candidates for both ranking and AI citation because they answer a topic thoroughly.
Related: Topic Cluster · Citation Readiness
Pipeline attribution is connecting search and AI visibility to actual sales pipeline in a CRM, rather than measuring success by traffic or rankings alone. It answers the only question that matters commercially.
Why it matters: it's the difference between reporting activity and reporting revenue impact — the standard we hold every engagement to.
Related: AI Referral Traffic · Share of Voice
A prompt is the question or instruction a user gives an AI system. In GEO, prompts replace keywords as the unit of measurement — the goal is to know which prompts your buyers use and whether you appear in the answers to them.
Why it matters: optimizing for prompts, not just keywords, is the shift that separates GEO from traditional SEO reporting.
Related: LLM · Citation Gap · Share of Voice
Query fan-out is the process where an AI engine expands one user prompt into many background sub-queries, runs them in parallel, and synthesizes the results into a single answer. Google named the mechanism for its AI Mode, and it has quickly become core AI-search vocabulary.
Why it matters: You now have to rank for the hidden sub-queries behind a question, not just the question itself — it reshapes keyword research for the AI era.
Related: Google AI Mode · RAG · Prompt
Retrievability is how easily an AI system can find, access, and pull a brand's content when generating an answer. It extends the classic SEO trio of crawlability, indexability, and rankability with a fourth requirement for the AI era.
Why it matters: a page can rank perfectly and still be un-retrievable by AI — retrievability is the gap most brands don't know they have.
Related: Crawlability · Citation Readiness · GEO
RAG is the technique where an AI model retrieves relevant external content at query time and uses it to generate a grounded, source-backed answer, rather than relying on memory alone. It's the mechanism behind most cited AI answers.
Why it matters: RAG is why being retrievable and citable matters — if the model can't fetch your content at answer time, it can't cite you, however authoritative you are.
Related: Grounding · Retrievability · Citation
robots.txt is a file at a site's root that tells crawlers which parts of the site they may or may not access. It controls both search-engine bots and AI crawlers like GPTBot, ClaudeBot, and PerplexityBot.
Why it matters: One wrong line here can silently block an AI engine entirely — it's the first thing to check when a brand is missing from a platform.
Related: AI Crawlers · Crawlability
Schema markup is code from the Schema.org vocabulary, usually in JSON-LD format, that labels page content so search engines and AI can interpret it precisely. It clarifies entities and relationships — but only reinforces content genuinely visible on the page.
Why it matters: schema is an amplifier, not a switch. It helps AI understand what you've published; it can't make invisible content count.
Related: FAQPage Schema · Entity Optimization
SEO is the practice of improving a site's visibility in traditional search results through on-page content, off-page authority, and technical health. In the AI era it has become the base layer AI visibility depends on.
Why it matters: a site Google can't crawl is a site AI can't cite — strong SEO is the foundation good GEO is built on, not a competing budget line.
Related: Crawlability · E-E-A-T · GEO · Our SEO service →
SGE was Google's pre-launch name for its generative search experiment, which rolled out publicly as Google AI Overviews. The term is now legacy but still appears in older content and searches.
Why it matters: Worth knowing only so you recognize it as the earlier name for what's now AI Overviews — the concept lives on, the label doesn't.
Related: Google AI Overviews · Google AI Mode
Semantic search is search that interprets meaning and intent behind a query, using entities and relationships rather than matching keywords literally. It's the foundation AI answers are built on.
Why it matters: It's why entity clarity beats keyword stuffing — engines now reason about what you mean, not just the words you used.
Related: Entity · Knowledge Graph
Sentiment analysis is the assessment of whether a mention or citation describes a brand positively, negatively, or neutrally. In AI search it measures not just whether you're cited, but how you're characterized.
Why it matters: Being mentioned isn't enough — negative or inaccurate framing in AI answers is a liability, which is why we monitor sentiment, not just presence.
Related: Brand Mention · Hallucination
A SERP is the page a search engine returns for a query. Once a list of ten blue links, SERPs now blend AI Overviews, featured snippets, and other features that push traditional results down.
Why it matters: The modern SERP is increasingly answer-first, which is exactly why ranking alone no longer guarantees visibility.
Related: Google AI Overviews · Featured Snippet · Zero-Click Search
AI share of voice is the proportion of AI answers in a category where a brand is cited, relative to its competitors. It measures competitive presence in AI search the way traditional share of voice measured advertising or organic presence.
Why it matters: it turns AI visibility from a yes/no into a competitive percentage you can grow and defend over time.
Related: Citation · Citation Gap · Prompt
An XML sitemap is a file listing a site's important URLs to help search engines discover and crawl them efficiently. It's a basic technical-SEO aid to complete, reliable crawling.
Why it matters: It won't lift rankings by itself, but it helps ensure nothing important is left undiscovered by crawlers.
Related: Crawlability · Indexation
A title tag is the HTML element that sets a page's title, shown in browser tabs and as the clickable headline in search results. It's a foundational on-page SEO signal about what a page is about.
Why it matters: It's basic but load-bearing — a missing or duplicated title tag confuses engines about a page's purpose.
Related: SEO · Meta Description
A topic cluster is a content structure of one comprehensive pillar page surrounded by supporting articles on the same theme, all interlinked. Depth and consistency across a cluster is what builds topical authority.
Why it matters: a scattered pile of one-off posts rarely builds authority; a connected cluster is the signal AI and Google both reward.
Related: Pillar Page · Citation Readiness · Our Content service →
An unlinked mention is a reference to a brand on a third-party site with no hyperlink attached. AI engines still recognize and weigh these mentions, so brand presence counts even without a traditional link.
Why it matters: It shifts authority-building away from chasing links and toward being talked about—AI counts the mention whether or not it's clickable.
Related: Brand Mention · Earned Media · Entity
Vector search retrieves information by conceptual similarity—mathematical proximity in a vector database—rather than exact keyword matches. It's the retrieval technology that lets AI find content that means the same thing, even in different words.
Why it matters: It's why optimizing for meaning beats optimizing for keywords—AI retrieves the closest concept, not the exact phrase a buyer typed.
Related: Semantic Search · RAG · Retrievability
YMYL is Google's classification for topics that can significantly affect a person's finances, health, or safety. Content in these categories is held to a higher standard of accuracy and trust by both search and AI systems.
Why it matters: For B2B fintech, healthcare, or security software, YMYL scrutiny is why E-E-A-T and verifiable authority aren't optional—they're the price of being cited at all.
Related: E-E-A-T · Hallucination · Citation Readiness
A zero-click search is one answered directly on the results page or inside an AI interface, without the user clicking through to any website. As AI answers expand, zero-click behavior keeps rising.
Why it matters: if the answer happens without a click, being named in that answer matters more than winning a visit that never comes.
Related: Google AI Overviews · Citation · AI Referral Traffic
Book a discovery call or a free AI visibility audit — we'll show you your citation gaps, your share of voice, and what it takes to close them.