SEO & AI Visibility Glossary
Plain-language definitions of the terms that come up in SEO and AI search, written for founders and marketing leads. Each entry gives you a short answer you can quote, how the thing works, and what to do about it on your own site.
I write and review every entry myself, drawing on 17+ years in SEO. Each one lists its sources and shows when it was last reviewed, and new terms get added as the field changes.
Showing 81 of 81 terms
Agentic SEO
Agentic SEO is the practice of optimizing a website for AI agents that browse, evaluate, and act on behalf of users, from researching vendors to completing purchases. It extends SEO's audience from humans and search crawlers to autonomous software doing tasks for a person.
AI Brand Mention Monitoring
AI brand mention monitoring is tracking how often, where and how accurately AI assistants mention your brand when people ask questions in your category. It runs the same prompts on a schedule so you can spot new sources, wrong facts, shifts in tone and competitor gains.
AI Citation
An AI citation is when an AI system names or links your page as a source for its answer. It's a stronger signal than a mention, because the system used your content to support a claim and points the reader back to you.
AI Mode
AI Mode is Google's conversational search experience, a dedicated tab where users ask questions in natural language and get synthesized, cited answers with follow-up dialogue. Introduced in early 2025, it runs on query fan-out retrieval and represents Google's fullest step toward answer-first search.
AI Overview (AIO)
AI Overviews are the AI-generated summaries Google shows above traditional search results, assembled from retrieved web sources with citations. They answer many queries directly on the results page, which makes being a cited source in them a distinct visibility goal from ranking beneath them.
AI Share of Voice
AI share of voice is the percentage of brand appearances across AI-generated answers that belong to you versus competitors, tracked over a consistent set of prompts. It adapts marketing's classic share-of-voice metric to the surfaces where buyers now ask their questions.
AI Visibility
AI visibility is how often, and how favorably, your brand appears in AI-generated answers when buyers ask tools like ChatGPT, Perplexity, and Google's AI Overviews questions your business should be part of. It's the outcome that GEO and AEO tactics exist to improve.
AI Visibility Audit
An AI visibility audit measures how often AI tools like ChatGPT, Google AI Overviews and Gemini mention and cite your brand for the questions your buyers ask, then diagnoses what's holding that back. The output is a baseline score and a prioritized list of fixes.
AI-Generated Content
AI-generated content is text, images, or media produced by AI systems, from fully machine-written articles to AI-assisted drafts refined by human editors. Search engines judge it by quality and usefulness rather than by origin, and the market now punishes the unedited version at scale.
Anchor Text
Anchor text is the visible, clickable text of a link. Search engines and AI systems use it to work out what the linked page is about, so a link that says "SEO audit checklist" tells them far more than one that says "click here."
Answer Engine Optimization (AEO)
Answer engine optimization (AEO) is the practice of optimizing content so that answer-generating systems, from featured snippets to AI assistants like ChatGPT and Perplexity, select and cite it when responding to user questions. In current industry usage it overlaps almost completely with GEO.
Author Attribution
Author attribution is visibly and structurally crediting content to a real, identifiable person: a byline, an author page, and Person schema connecting the work to the human behind it. It's a trust signal for readers, an E-E-A-T signal for Google, and an entity signal for AI systems.
Backlink / Link Equity
A backlink is a link from another website to yours, and link equity is the authority it passes. Backlinks remain one of the oldest ranking signals in search, and in AI search they take on a second role: corroborating that what your site claims is confirmed elsewhere.
Brand Entity
A brand entity is your company as machines understand it: a distinct, recognized thing with attributes, relationships, and a track record, rather than a name that appears in text. How strongly and accurately that entity is established shapes every AI answer that mentions you.
Citation Outreach
Citation outreach is link building updated for AI search. You find the pages AI systems cite when answering questions in your category, then earn links, brand mentions and citations on those pages, so AI answers have independent sources that describe your brand.
Citation Share
Citation share is the percentage of citations in AI-generated answers that point to your brand or website versus competitors, tracked across a set of relevant prompts. Where a mention shows you're in the conversation, a citation means the AI is leaning on you as a source.
Click-Through Rate (CTR)
Click-through rate (CTR) is the percentage of people who click your result after seeing it: clicks divided by impressions. It measures how compelling your listing is in its context, and in the zero-click era it must be read alongside where and how often you appear at all.
Content Chunking
Content chunking is how retrieval systems split pages into smaller passages, embed each one, and retrieve at the passage level rather than the page level. It means every section of your content competes on its own, and self-contained sections win.
Content Engine
A content engine is an end-to-end workflow that turns research into a running content program: keyword, competitive, and persona research feeding a content matrix, which drives prioritized production mapped across quarters, with optional design assets, all under human editorial review.
Content Freshness / QDF
Content freshness is how current a piece of content is and how recently it was meaningfully updated. Search engines boost recency for queries that deserve it (QDF), and AI retrieval extends the bias: systems favor current sources, and visible update signals feed that judgment.
Content Gap Analysis
Content gap analysis is the systematic comparison of what your site covers against what your buyers ask and what competitors rank or get cited for, surfacing the specific topics, questions, and intents you're missing. The gaps become the prioritized content plan.
Content Matrix
A content matrix is a planning grid that maps target keywords and topics against personas, funnel stages and calls to action, then scores each row so you know which pages to create next, which to update, and in what order.
Content Strategy Framework
A content strategy framework is an ICP-aligned content architecture that connects your product or service to the search queries and AI prompts your buyers actually use, across awareness, consideration, and decision stages. It's built around your audience, not generic topic clusters.
Content Velocity
Content velocity is how fast a site publishes new content and updates existing pages, usually counted per week or month. A consistent pace helps with freshness and topic coverage, but only when each piece clears a quality bar. Fast output of thin pages works against you.
Core Web Vitals
Core Web Vitals are Google's user-experience metrics measuring how fast a page loads its main content (LCP), how quickly it responds to interaction (INP), and how visually stable it is while loading (CLS). They're a modest ranking input and a real experience baseline.
Crawlability
Crawlability is whether search engine and AI crawlers can discover and fetch your pages: reachable URLs, permissive robots rules, working links, and content that renders for bots. It's the first gate in visibility; nothing gets ranked, indexed, or cited that never gets crawled.
DefinedTerm Schema
DefinedTerm schema is structured data that marks a page as an authoritative definition of a specific term, with DefinedTermSet grouping a collection of them into a formal glossary. It's a niche, underused markup that fits definitional content exactly. This glossary runs on it.
Domain Authority vs Domain Rating
Domain Authority (Moz) and Domain Rating (Ahrefs) are third-party scores estimating a site's link-based strength on a 0-100 scale. Neither is a Google metric or a ranking factor; both are comparative gauges, useful for benchmarking and nearly meaningless as absolute numbers.
E-E-A-T
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness: the framework Google's human quality raters use to evaluate content quality, with trust as the most important member. It isn't a direct ranking factor but the standard ranking systems are tuned toward.
Entity Footprint
An entity footprint is every place on the web where your brand shows up: your site, social profiles, directories, review sites, press and mentions. AI systems learn who you are from all of it, so how broad and how consistent it is shapes what they say about you.
Entity Home
An entity home is the one page, usually your About page or homepage, that search engines and AI systems treat as the authoritative source on who you are, what you do and who you serve. Jason Barnard of Kalicube developed the concept.
Entity SEO
Entity SEO is optimizing around the people, organizations, products, and concepts machines recognize as distinct things, rather than around keyword strings. It aligns your content and signals with how search engines and LLMs actually model the world: as entities and relationships.
FAQPage Schema
FAQPage schema is structured data marking a page's question-and-answer content so machines can read each Q&A pair directly. Google restricted its rich-result display to government and health sites in 2023, but the markup retains value as machine-readable context. Keep it where the questions are real.
Featured Snippet
A featured snippet is the highlighted answer box Google places above traditional results, extracting a passage, list, or table directly from a ranking page. It was the original answer-first surface, and winning it still trains content in exactly the habits AI citation rewards.
Find It, Fix It, Prove It
Find It, Fix It, Prove It's Tarun Gehani's three-step method for SEO and AI visibility work: find where a brand shows up, where it doesn't and why; fix the gaps that matter most; then prove the change by re-measuring the same questions on the same engines, before and after.
Fractional SEO Advisory
Fractional SEO advisory is a month-to-month engagement where a senior SEO and AI visibility strategist functions as your embedded leader: setting direction, reviewing work, joining key calls, and keeping the team accountable to the roadmap, without the cost or commitment of a full-time hire.
Generative Engine Optimization (GEO)
Generative engine optimization (GEO) is the practice of structuring and promoting content so that AI systems like ChatGPT, Perplexity, and Google's AI Overviews retrieve it, cite it, and recommend it in their answers. It builds on SEO fundamentals with added emphasis on citations and corroboration.
Ghost Citation
A ghost citation is when an AI answer links your page as a source but never says your brand's name in the answer text. The term was coined by Kevin Indig, whose study with Semrush found 61.7% of AI citations work this way: your content used, your brand invisible.
Grounding
Grounding is when an AI system bases its answer on documents it retrieves at answer time, not only on what it learned in training, and ties its claims to those sources. Grounded answers are where AI citations come from, so being easy to ground on is a core AI visibility goal.
Heading Tags (H1-H6)
Heading tags (H1 through H6) are the HTML elements that structure a page into a hierarchy: one H1 stating what the page is, with H2s and deeper levels organizing its sections. They're the outline machines read first, and in AI retrieval they define the chunks.
Human-in-the-Loop
Human-in-the-loop (HITL) means building required human review or approval into an automated process, especially before steps that are costly or can't be undone. In AI-assisted content and SEO work, it's the checkpoint that keeps fast, high-volume output accurate and accountable.
Indexability
Indexability is whether a search engine can include a page in its index after crawling it. A page must be both crawlable and indexable to appear in search results or be retrieved by AI systems; a problem with either makes the page invisible.
Information Gain
Information gain is a measure of how much new information a piece of content adds beyond what is already available, a concept from a Google patent describing scores for documents based on their novel contribution. Content that only repeats consensus scores low; content adding something scores high.
Internal Linking
Internal linking is the practice of linking between pages on your own website. It distributes authority, creates crawl paths, and tells search engines and AI systems how your topics relate, and unlike backlinks, every internal link is fully within your control.
Keyword Cannibalization
Keyword cannibalization is when multiple pages on the same site target the same query or intent, forcing them to compete against each other. The result is diluted authority, unstable rankings, and machines unsure which page to trust; consolidation is usually the cure.
Keyword Intent
Keyword intent is the purpose behind a search: what the person actually wants to accomplish, typically classified as informational, navigational, commercial, or transactional. Matching content to intent is more decisive than matching it to the keyword's words. Intent is the first filter, before volume or difficulty.
Knowledge Graph
A knowledge graph is a structured database of entities and the relationships between them, which search engines and AI systems use to understand who is who and what connects to what. Google's Knowledge Graph, launched in 2012, is the most consequential example for marketers.
Large Language Model (LLM)
A large language model (LLM) is an AI system trained on massive text datasets to understand and generate language. LLMs power ChatGPT, Claude, Gemini, and Perplexity, and they're the systems your brand needs to be visible in as buyers shift questions to them.
LLM Crawlers
LLM crawlers are the bots AI companies send to read websites, such as OpenAI's GPTBot and OAI-SearchBot and Anthropic's ClaudeBot. Some collect training data and some fetch pages to answer questions live. If they can't reach your site, AI systems can't learn from it or cite it.
llms.txt
llms.txt is a proposed plain-text file at a site's root listing its most important content in a format built for AI systems to read. Proposed by Jeremy Howard in 2024, it remains unratified, largely unread by AI search crawlers, and most useful for AI agents and developer docs.
Long-Tail Keywords
Long-tail keywords are longer, more specific search queries with lower individual volume but clearer intent. Collectively they make up most of search demand, and they matter more in AI search, where conversational prompts are long-tail by nature, and often the fastest wins available to smaller sites.
Machine-Readable Content
Machine-readable content is content structured so that AI systems, crawlers, and agents can parse, extract, and act on it accurately: real HTML text, clear heading hierarchies, structured data, and front-loaded answers instead of meaning locked inside design, images, or scripts.
Mid-Funnel Silence
Mid-funnel silence is the visibility gap where a brand appears in AI answers for branded and bottom-of-funnel queries but is absent from the consideration-stage questions where buyers actually build their shortlists. It's the most common finding in AI visibility audits.
Multimodal Search
Multimodal search is search that accepts and combines multiple input types, text, images, voice, and video, and draws on multiple content types to answer. Google Lens queries, voice prompts, and AI Mode's image understanding all mean visibility is no longer a text-only contest.
Passage Indexing
Passage indexing is a Google ranking change that lets one section of a page rank for a query, even when the rest of the page is about something broader. It previewed how AI search works today: systems retrieve and quote individual passages, not whole pages.
Pre-Launch SEO Strategy
Pre-launch SEO strategy is visibility work done during a website build or redesign, not after it: URL structure, information architecture, redirect mapping, and schema planned alongside developers and designers so the site launches optimized instead of needing retrofits. Typically four to eight weeks of embedded work during the project.
Prompt Engineering for SEO
Prompt engineering for SEO is the craft of writing effective instructions for AI systems in SEO work, and, increasingly, the discipline of understanding how buyers phrase their own prompts so content can be built to answer them. Both directions now belong in an SEO skill set.
Prompt Library
A prompt library is a curated, maintained collection of proven prompts for recurring work: research, analysis, drafting, QA, and measurement. It converts individual prompting skill into a repeatable team asset, and in AI visibility it includes the locked prompt sets used for tracking.
Prompt Volume
Prompt volume is an estimate of how often people ask AI assistants about a question or topic, the AI-search version of keyword search volume. No AI platform publishes these numbers, so every figure is a vendor's model: useful for comparing topics, unreliable as an exact count.
Redirect (301 vs 302)
A 301 redirect tells machines a URL has moved permanently and its signals should transfer to the destination; a 302 signals a temporary move, keeping the original URL's standing intact. Choosing correctly preserves equity; choosing carelessly strands or delays it.
Relevance Engineering
Relevance engineering is a term coined by Mike King of iPullRank for the discipline of systematically aligning content with how modern retrieval systems evaluate relevance: intent coverage, semantic structure, and data-driven iteration across content and technical layers. It's on-page discipline named for how retrieval actually works now.
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation (RAG) is the architecture that lets an AI system fetch relevant documents at answer time and generate its response from them, instead of relying only on training data. RAG is the mechanism behind cited AI answers, and the reason AI visibility work pays off quickly.
robots.txt
Robots.txt is a plain text file at the root of a website that tells crawlers which URLs they may fetch. It also controls AI crawlers like GPTBot, OAI-SearchBot and ClaudeBot, so it decides whether AI systems can read your site at all.
Search Intent
Search intent is the underlying goal a search or prompt is trying to satisfy: the task, question, or decision behind the words. Modern engines and AI systems rank and cite by how completely content satisfies that goal, making intent the true unit of optimization.
Search Visibility
Search visibility is a percentage score for how much of the available search attention a site captures across a set of keywords, based on where it ranks for each one. Newer versions also count answer surfaces like featured snippets, AI Overviews and citations in AI assistants.
Semantic Search
Semantic search is retrieval based on meaning rather than exact keyword matching: systems represent queries and content as concepts and find matches by relatedness. It's the foundation both modern Google and AI retrieval are built on, and it rewards content organized around meaning.
Semi-Automated SEO Workflow
A semi-automated SEO workflow uses AI and automation for the mechanical layers of SEO work, research assembly, data pulls, drafting, formatting, publishing, while keeping human judgment as the gate on strategy, quality, and everything that ships. Automation serves the practitioner; it doesn't replace them.
SGE (Search Generative Experience)
Search Generative Experience (SGE) was Google's experimental AI-search beta, launched in Labs in May 2023 and retired as a name in May 2024 when it graduated into AI Overviews. The term is historical, and it survives mostly as a lesson in how fast this vocabulary moves.
Share of Model
Share of model measures how often AI systems mention or recommend your brand compared with competitors when answering relevant prompts. It's the AI-era counterpart to share of voice, tracking presence inside model answers rather than ad impressions or search rankings.
Structured Data / Schema Markup
Structured data is code, usually JSON-LD following the schema.org vocabulary, that explicitly tells machines what your content is: an article, a product, an organization, a defined term. It converts pages machines must interpret into facts machines can simply read. It's the vocabulary layer beneath most entity and AI visibility work.
Technical SEO
Technical SEO is the work that lets search engines and AI systems crawl, render, index and understand a website: site architecture, crawler access, page speed, redirects and structured data. If machines can't read a page, nothing else you do on it counts.
Topical Authority
Topical authority is the trust a site earns by covering a subject with depth, completeness, and consistency, so that machines treat it as a go-to source for that topic. It compounds: each strong, connected piece raises the odds every other piece gets surfaced and cited.
Topical Map
A topical map is a structured plan of everything a site should cover to own a subject: the core topic, its subtopics, the questions inside each, and how the pages interlink. It's the architecture layer that turns individual content pieces into a claim of authority.
Two Doors of AI Visibility
The two doors of AI visibility are the two ways an AI system can know your brand: the training door, what the model learned before its knowledge cutoff, and the retrieval door, what it looks up live when answering. Each door opens through different work on a different timeline.
White-Label SEO & AI Visibility
White-label SEO and AI visibility services are deliverables produced by an outside specialist but presented under an agency's own brand: audits, roadmaps, scoring reports, and strategy documents built to the agency's spec, which the agency presents, invoices, and takes credit for.
Wikidata / Wikipedia Entity
A Wikidata or Wikipedia entity is your brand's presence in the open reference databases that machines trust most: a Wikipedia article and/or a Wikidata item with a unique identifier. These entries carry outsized weight in knowledge graphs and LLM training data.
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