AI Search & GEO Glossary: 300+ Terms for AI Search Marketers
309 terms
Adaptive Retrieval
Adaptive retrieval is when an AI system decides per question whether to retrieve, and how much, instead of always fetching a fixed number of documents.
Agent Experience Optimization (AX)
Agent experience optimization (AX) makes a product, website or API easy for AI agents to discover, understand, access and use on a person's behalf.
Agent Payments Protocol (AP2)
The Agent Payments Protocol (AP2) is an open standard that uses signed mandates to prove what an AI agent may buy and pay for, now run by the FIDO Alliance.
Agent2Agent Protocol (A2A)
Agent2Agent (A2A) is an open Linux Foundation protocol that lets AI agents from different vendors discover each other, delegate tasks and return results.
Agentic Browser
An agentic browser is a browser with a built-in AI agent that navigates, clicks and fills forms to finish tasks for the user, like Comet or Gemini in Chrome.
Agentic Commerce
Agentic commerce is buying in which an AI agent searches, compares and completes purchases for a user, using protocols such as ACP, UCP and AP2 to transact.
Agentic Commerce Protocol (ACP)
The Agentic Commerce Protocol (ACP) is an open standard from OpenAI and Stripe for sharing product feeds and running checkout between AI agents and merchants.
Agentic Search
Agentic search is AI search where an agent plans its own queries, reads and compares pages, and acts on the results to finish a task instead of answering once.
Agentic Search Optimization
Agentic search optimization prepares a site for AI agents that search, compare and act for users, from readable pages to WebMCP tools and checkout protocols.
Agentic SEO
Agentic SEO is the use of AI agents to run SEO and GEO work, such as research, audits, drafting and monitoring, as multi-step workflows with human review.
Agentic Workflows
Agentic workflows are multi-step processes where an AI model plans, calls tools, checks its own results and loops until a goal is met, with human checkpoints.
AGENTS.md
AGENTS.md is an open Markdown file in a code repository that tells AI coding agents how to build, test and change the project. Over 60,000 projects use it.
AI Agent Frameworks
AI agent frameworks are SDKs such as LangGraph, CrewAI, the OpenAI Agents SDK and Google ADK that handle tool calls, state and orchestration for AI agents.
AI Agent Traffic
AI agent traffic is website visits made by AI agents completing tasks for a user, separate from AI crawlers and from humans clicking links in AI answers.
AI Agents
AI agents are AI systems that pursue a goal over many steps: they plan, use tools such as search, a browser or code, act on results and ask humans when needed.
AI Alignment
AI alignment is the work of making AI systems pursue the goals their developers and users intend, using training methods, written model specs and evaluations.
AI Answer Volatility
AI answer volatility is how much an AI engine's answer to the same prompt changes between runs, in brands named, order and sources, so one check proves little.
AI API
An AI API is a hosted interface for sending prompts, files and tool definitions to a provider's model, such as GPT-6, Claude or Gemini, and getting output back.
AI Benchmarks
AI benchmarks are standardized tests that score AI models on tasks like coding, reasoning, web research and computer use, so labs and buyers can compare them.
AI Brand Mentions
AI brand mentions are the times an AI answer from ChatGPT, Gemini, Perplexity or AI Overviews names your brand in its text, whether or not it cites your site.
AI Brand Safety
AI brand safety is the work of finding and correcting false, harmful or risky things AI answers say about a brand, from invented lawsuits to wrong prices.
AI Citation Optimization
AI citation optimization increases how often AI answers link to your own pages as sources, through crawler access, retrievable content and pages worth citing.
AI Citation Source Audit
An AI citation source audit maps which domains, pages and content types AI engines cite for your prompts, showing who shapes the answers in your category.
AI Content Detection
AI content detection is identifying whether text, images or audio were generated by AI, using statistical classifiers, watermarks or provenance metadata.
AI Content Generation
AI content generation is using generative models such as GPT-6, Claude and Gemini to produce text, images, audio and video, ideally with human review.
AI Content Ranking
AI content ranking is how answer engines choose which retrieved pages to cite in a generated answer, from search retrieval to reranking and passage selection.
AI Content Strategy
AI content strategy is a plan for using AI tools to produce content and for earning visibility in AI answers, with rules for quality, review and measurement.
AI Crawler Logs
AI crawler logs are server or CDN records of requests from AI bots like GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot: what they fetch and what they get.
AI Crawler Verification
AI crawler verification confirms a request claiming to be GPTBot, ClaudeBot or another AI bot really comes from that provider, via IP lists, DNS or signatures.
AI Dark Traffic
AI dark traffic is website traffic driven by AI answers that analytics can't attribute to AI, so it shows as direct, branded search or unknown referral visits.
AI Fine-tuning
AI fine-tuning is extra training of a pre-trained model on your own examples to change its style, format or task behavior, with methods like SFT, DPO and LoRA.
AI Grounding
AI grounding ties a model's answer to verifiable sources, such as live search results or supplied documents, so each claim can be traced and cited.
AI Hallucination
AI hallucination is when a language model confidently states something false: invented citations, wrong numbers, features that don't exist or made-up events.
AI Indexing
AI indexing is how AI systems discover, store and retrieve web content for answers, through training data, AI search indexes, live fetches and embedding stores.
AI Inference
AI inference is running a trained model to produce output from new input. Every ChatGPT reply, AI Overview and agent step is inference, usually billed by token.
AI Max for Search
AI Max for Search is a Google Ads feature suite for Search campaigns that adds keywordless matching, AI-written ad text and final URL expansion.
AI Mode
AI Mode is Google Search's conversational AI experience. It runs on Gemini, uses query fan-out, and answers multi-step questions with cited links.
AI Overview
An AI Overview is a Gemini-written summary at the top of Google results, with links to the sources it used. It appears only when Google deems it helpful.
AI Overview Impressions
AI Overview impressions count how often links to your site were shown in Google AI Overviews. Search Console reports them, combined with AI Mode.
AI Preferences (IETF aipref)
AI Preferences (aipref) is an IETF draft standard for stating whether content may be used for AI training, AI use or search via robots.txt or an HTTP header.
AI Recommendation Poisoning
AI recommendation poisoning hides prompts in 'Summarize with AI' links that tell an AI assistant to remember a brand and recommend it in future chats.
AI Regulation
AI regulation is the laws and rules governing how AI is built and used, led by the EU AI Act, with US state laws, China's labeling rules and copyright policy.
AI Response Optimization
AI response optimization improves how a brand appears inside AI-generated answers: whether it is included, where it ranks and how accurately it is described.
AI Safety
AI safety is the work of preventing AI systems from causing harm, through testing, alignment, safeguards and oversight by labs, governments and researchers.
AI Search
AI search answers questions with a written response generated by a language model from retrieved web sources, instead of returning only a ranked list of links.
AI Search Ads
AI search ads are paid placements inside or next to AI-generated answers, sold by Google, OpenAI and Microsoft in AI Overviews, AI Mode, ChatGPT and Copilot.
AI Search Analytics
AI search analytics is the collection and analysis of data on how AI platforms crawl, cite, mention and send traffic to a brand, from prompts to revenue.
AI Search Engine Optimization
AI search engine optimization (AI SEO) applies SEO to AI search engines like ChatGPT search, Claude, AI Mode and Copilot: crawler access, indexing, retrieval.
AI Search Index
An AI search index is the store of crawled web pages an AI assistant retrieves from when it answers. Google, OpenAI, Perplexity and Meta each run their own.
AI Search Insights
AI search insights are the findings drawn from AI visibility data: why a brand is missing from answers, which sources win, and what to change next.
AI Search Intent Optimization
AI search intent optimization aligns content with the goals behind long, conversational AI prompts and the sub-queries AI systems generate to answer them.
AI Search Performance
AI search performance is how well a brand does across AI answer engines over time, judged by visibility, share of voice, citations, sentiment and traffic.
AI Search Ranking Factors
AI search ranking factors are the signals that decide which pages AI answers retrieve and cite and which brands they name. Few are published; most are inferred.
AI Search Visibility
AI search visibility is how often and how prominently a brand is mentioned or cited in AI-generated answers on ChatGPT, Gemini, Perplexity and Google.
AI SEO Automation
AI SEO automation uses AI to automate individual SEO and GEO tasks such as research, briefs, drafts, metadata, audits and monitoring, reviewed by people.
AI Share of Voice
AI share of voice is your brand's percentage of all brand mentions in AI answers, measured against competitors across ChatGPT, Gemini, Perplexity and Google.
AI Shopping
AI shopping is using AI assistants like ChatGPT, Google AI Mode, Copilot and Alexa to discover, compare and choose products based on feeds, reviews and sources.
AI Spam
AI spam is AI-generated or AI-targeted content made to manipulate search rankings or AI answers, from scaled low-value pages to hidden prompt injections.
AI Training Data
AI training data is the text, code, images and other content used to train AI models. It shapes what a model knows about brands before it searches the web.
AI Visibility Platform
An AI visibility platform tracks how AI assistants mention and cite your brand across ChatGPT, Gemini, Perplexity and Google, and helps close the gaps it finds.
AI Visibility Score
An AI visibility score rates how prominently a brand appears in AI answers. Promptwatch scores each response 0 to 100 and averages, counting absences as zero.
AI Web Crawlers
AI crawlers are bots run by AI companies that fetch web pages for model training, AI search indexes or live answers, like GPTBot, ClaudeBot and PerplexityBot.
AI-First Content Strategy
AI-first content strategy plans content around AI answer engines as the main discovery channel, starting from prompts and fan-out queries, not keywords.
AI-Powered Search Tools
AI-powered search tools are products that answer questions with AI-written, cited responses: ChatGPT, Google AI Mode, Perplexity, Copilot, Gemini and others.
AI-Referred Traffic
AI-referred traffic is website visits that come from links in AI assistants and AI search answers, such as ChatGPT, Perplexity, Gemini, Copilot and Claude.
Algorithm Updates
Algorithm updates are changes to how search engines and AI platforms rank, retrieve and cite content, from Google core updates to new ChatGPT models.
AMP (Accelerated Mobile Pages)
AMP is an open-source HTML framework for fast pages. Google gives it no ranking boost, and since July 2026 it no longer serves AMP pages from its own cache.
Anchor Terms
Anchor terms are distinctive names a brand gives to its frameworks, metrics or methods, so AI answers that use the idea also tend to name the brand behind it.
Answer Engine
An answer engine is a system that replies to a question with a direct, composed answer instead of a ranked list of links, often citing the sources it used.
Answer Engine Optimization (AEO)
Answer engine optimization (AEO) is the practice of becoming the answer, or a cited source for it, in featured snippets, voice assistants and AI answer engines.
Answer Position
Answer position is where a brand first appears among the brands named in an AI answer, counted from 1. Averaged over runs, it shows prominence, not presence.
Answer-Ready Content
Answer-ready content puts a direct, self-contained answer at the start of a page or section, followed by detail, so readers and AI systems find it quickly.
Anthropic
Anthropic is the AI company behind Claude and the Model Context Protocol, known for constitutional AI and safety research, and valued at $965B in May 2026.
Anthropic Crawlers (ClaudeBot, Claude-SearchBot, Claude-User)
Anthropic crawlers are the three bots behind Claude: ClaudeBot for training, Claude-SearchBot for search and Claude-User for fetches a user asks for.
Apple Intelligence
Apple Intelligence is Apple's on-device and Private Cloud Compute AI system. Since iOS 27 it powers Siri AI, which answers questions using the web.
Apps in ChatGPT
Apps in ChatGPT are third-party integrations built on MCP that run inside ChatGPT conversations, adding a company's data, actions and interactive UI.
Author Authority
Author authority is the verifiable credibility of the person behind content: credentials, track record and recognition that search and AI systems can check.
Backlinks
Backlinks are links from other websites to yours. Google still uses them in ranking, and in AI search they matter mostly through the authority they build.
BERT Algorithm
BERT is Google's transformer-based language model, used in Search since 2019 to read queries in context. It is still listed among Google's ranking systems.
Bing AI Performance Report
Bing's AI Performance report in Bing Webmaster Tools shows how often your pages are cited in Copilot and Bing AI answers, and the grounding queries behind them.
Bing Index
The Bing index is Microsoft's web index. It powers Bing, grounds Microsoft Copilot and is one of the search sources ChatGPT queries for its answers.
BM25
BM25 is a keyword ranking function that scores documents by term frequency, term rarity and length. It remains the lexical half of most hybrid AI retrieval.
Bounce Rate
Bounce rate is the share of sessions without meaningful engagement. In GA4 it is the inverse of engagement rate, and it helps judge visitors from AI search.
Brand Depth
Brand depth is how densely and consistently a brand is covered across independent sources, which decides whether AI systems retrieve and recommend it.
Brand Inclusion Rate
Brand inclusion rate is the share of tracked prompts in which AI answers include your brand. It measures prompt coverage, the first question in AI visibility.
Brand Monitoring
Brand monitoring is the ongoing tracking of how a brand is mentioned and described across news, social, reviews, forums and AI answers from ChatGPT and Google.
Brand SERP
A brand SERP is the search results page for a brand's exact name. Many pages ranking there are also the sources AI assistants use to describe the brand.
Branded vs. Unbranded Prompts
Branded prompts name your brand; unbranded prompts ask about a category or problem without it. Tracking them apart keeps brand recall from inflating visibility.
Canonical URLs
A canonical URL is the preferred version of a page among duplicates. Set with rel=canonical, it tells search engines and AI crawlers which URL to index.
Chain of Thought (CoT)
Chain of thought is step-by-step reasoning that a language model writes before its answer. First a prompting technique, it now runs inside reasoning models.
ChatGPT
ChatGPT is OpenAI's AI assistant, used by 1.2 billion people a week as of September 2026, and the largest single surface for AI search and GEO visibility.
ChatGPT Ads
ChatGPT Ads are OpenAI's sponsored placements shown below ChatGPT answers to Free and Go users, bought through Ads Manager on CPM, CPC or conversion goals.
ChatGPT Atlas
ChatGPT Atlas was OpenAI's macOS web browser with ChatGPT built in. Launched in October 2025, it was retired on August 9, 2026 in favor of the ChatGPT app.
ChatGPT Optimization
ChatGPT optimization is GEO applied to ChatGPT: getting a brand mentioned and its pages cited in ChatGPT's answers, search results and shopping responses.
ChatGPT Search
ChatGPT Search is the web search built into ChatGPT: it rewrites prompts into search queries, reads results and answers with inline citations to sources.
Citation Content Types
Citation content types classify the pages AI search engines cite, such as product pages, listicles, how-tos, docs and news, showing which formats get cited.
Citation Crawlers vs Training Crawlers
Training crawlers collect pages to train AI models; citation crawlers index or fetch pages so AI answers can cite them. Each has its own robots.txt token.
Citation Decay
Citation decay is the decline in how often AI answers cite a page after it peaks, driven by staleness, competing content and changes in AI retrieval.
Citation Diversity
Citation diversity is how many distinct, independent sources AI answers cite, per response or across a prompt set, and how concentrated those citations are.
Citation Probability
Citation probability is the likelihood that a page or domain is cited when an AI engine answers a given prompt, estimated from repeated runs of that prompt.
Citation Rank
Citation rank is the position of your page in an AI answer's list of sources, counted from 1. Lower is better, and it differs from where your brand is named.
Citation Rate
Citation rate is the percentage of AI responses in a tracked prompt set that cite your domain at least once as a source, measured per engine and period.
Citation Share
Citation share is a domain's percentage of all citations in a set of AI answers. For your own domain, it shows how much AI engines rely on your pages.
Citations Per Response
Citations per response is the average number of sources an AI answer cites. It differs by engine, shifts with model updates, and caps how many brands get cited.
Cited URL Rate
Cited URL rate is the percentage of AI responses that cite one specific URL as a source. It tracks individual pages, while citation rate tracks whole domains.
ClaimReview
ClaimReview is Schema.org markup for fact-check articles. Google dropped its Search rich result in 2025, but Fact Check Explorer and its API still use the data.
Claude
Claude is Anthropic's AI assistant and model family (Opus, Sonnet, Haiku, Fable), with cited web search, Claude Code and computer use. Lineup as of Oct 2026.
Click-Through Rate (CTR)
Click-through rate (CTR) is clicks divided by impressions. In search, AI Overviews and AI Mode have cut organic CTR sharply, and cited pages keep more clicks.
Co-Citation and Co-Occurrence
Co-citation and co-occurrence describe a brand being mentioned alongside competitors or topics. These patterns shape which category AI models place a brand in.
Commodity Content
Commodity content restates common knowledge anyone could write. Google's 2026 AI search guide says unique, non-commodity content matters most for visibility.
Common Crawl
Common Crawl is a nonprofit that publishes a free monthly archive of billions of web pages, collected by its CCBot crawler and widely used to train AI models.
Competitor Analysis
Competitor analysis compares your brand with rivals across search rankings, AI answers, citations and sentiment to find the prompts and sources you are losing.
Computer Use
Computer use lets an AI model operate a computer or browser through screenshots, clicks and typing. Anthropic, OpenAI and Google all offer it as of 2026.
Content Atomization
Content atomization is breaking one large content asset into smaller, self-contained pieces, from social posts to standalone fact passages that AI can quote.
Content Authority
Content authority is the credibility of an individual page or author: who wrote it, what evidence it offers, and whether other trusted sources rely on it.
Content Chunking
Content chunking is splitting text into smaller segments: a step retrieval systems run before indexing, and a writing practice of self-contained sections.
Content Clustering
Content clustering is grouping related keywords, prompts and pages into topic groups so each subject is covered once, in depth, by the right page.
Content Clusters
Content clusters are groups of pages on one topic: a broad pillar page linked to focused subtopic pages, built to show depth to search engines and AI systems.
Content Decay
Content decay is the gradual loss of a page's rankings, traffic and AI citations as its information ages and newer pages answer the same questions better.
Content Freshness
Content freshness is how recent and up to date a page's information is. Most AI assistants cite newer pages than Google's organic results show.
Content Gap Analysis
Content gap analysis finds questions your audience asks, in search and in AI answers, that your site does not answer, or answers worse than competitors do.
Content Personalization
Content personalization tailors what a visitor sees to their context or behavior. Done well, it keeps core content identical for people and for crawlers.
Content Quality Signals
Content quality signals are the evidence search engines and AI systems use to judge a page's usefulness and trust: effort, originality, accuracy and expertise.
Content Signals
Content Signals is a robots.txt extension, launched by Cloudflare in 2025, stating whether crawled content may be used for search, AI answers or AI training.
Context Engineering
Context engineering is the practice of choosing what goes into an LLM's context window (instructions, retrieved content, tools, memory) to get reliable outputs.
Context Window
A context window is the maximum number of tokens an LLM can consider at once, covering input and output. Frontier models offered about 1 million tokens in 2026.
Conversational AI Optimization
Conversational AI optimization prepares content and data for multi-turn assistants like ChatGPT, Gemini, Siri AI and Alexa+, including follow-ups and voice.
Conversational Search
Conversational search lets people find information through multi-turn dialogue in natural language, with follow-ups that keep context, as in ChatGPT or AI Mode.
Conversion Rate Optimization (CRO)
Conversion rate optimization (CRO) is the practice of raising the share of visitors who take a desired action, now including visitors referred by AI assistants.
Core Web Vitals
Core Web Vitals are Google's three real-user metrics for loading (LCP), responsiveness (INP) and visual stability (CLS), part of its page experience signals.
Crawl Budget
Crawl budget is the set of URLs a search engine can and wants to crawl on a site. It matters for large or fast-changing sites; AI crawlers add their own load.
Crawl-to-Refer Ratio
The crawl-to-refer ratio compares how many pages a search or AI platform crawls with how many visitors it sends back, a metric published on Cloudflare Radar.
Crawling and Indexing
Crawling is how bots discover and fetch web pages; indexing is how search engines and AI systems process and store them so they can be retrieved and cited.
Cross-Platform AI Visibility
Cross-platform AI visibility is how consistently a brand appears and is cited across AI engines such as ChatGPT, Google AI Mode, Gemini, Perplexity and Claude.
Data Privacy in AI
Data privacy in AI covers how personal data is collected, used and retained in AI training, prompts and outputs, and the rules (GDPR, EU AI Act) that govern it.
Deep Research
Deep research is an AI agent mode that plans a multi-step web investigation, reads many sources and returns a long report with citations.
Deep Search
Deep Search is a search-engine mode, such as Google's in AI Mode, that runs hundreds of searches on one question and returns a fully cited report.
DeepSeek
DeepSeek is a Chinese AI lab known for open-weight, MIT-licensed mixture-of-experts LLMs; its current lineup is the V4 family, led by V4.1-Flash.
DefinedTerm Schema
DefinedTerm is the Schema.org type for a word or phrase with a formal definition, grouped into a DefinedTermSet. It labels glossary entries and vocabularies.
Digital Entity Optimization
Digital entity optimization is the cross-platform program for getting AI assistants to identify, describe and recommend a brand accurately, beyond Google.
Digital PR
Digital PR is earning coverage, mentions and links from online publications. It matters for AI search because most AI citations come from earned media.
Domain Authority
Domain Authority is Moz's 1 to 100 score predicting how likely a site is to rank, based mostly on backlinks. Neither Google nor AI search engines use it.
Dwell Time
Dwell time is how long a searcher stays on a page after clicking a result before returning to the results. Google uses click data but not this metric by name.
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
E-E-A-T is Google's quality framework of experience, expertise, authoritativeness and trust. It guides human raters and the signals Google's systems look for.
Embeddings
Embeddings are numeric vectors that represent the meaning of text, images or other data, so AI systems can compare content by meaning. They power vector search.
Entity Coherence
Entity coherence is how well an entity's own signals fit together: one name, one clear type, and matching facts across every profile the entity controls.
Entity Consensus
Entity consensus is how far independent sources agree on the facts about a brand or person. AI answers built from many sources reflect that agreement.
Entity Home
An entity home is the one page a brand or person controls that states the canonical facts about them, which every other profile and markup points back to.
Entity Salience
Entity salience measures how central an entity is to a text, scored 0 to 1 by Google's Natural Language API. In GEO it also means brand-topic association.
Entity SEO
Entity SEO makes a brand, its people and products identifiable as distinct entities to search engines and AI systems, with consistent facts and clear topics.
Featured Snippets
Featured snippets are Google answer boxes quoting one page above the organic results. They have become rare as AI Overviews took over the same queries.
Few-Shot Learning
Few-shot learning is when an AI model performs a new task from a handful of worked examples placed in the prompt, without any retraining or fine-tuning.
Foundation Models
Foundation models are large AI models trained on broad data and adapted to many tasks. GPT, Claude, Gemini, Grok and DeepSeek are current examples.
Function Calling / Tool Use
Function calling, or tool use, lets an LLM request a defined function, such as a search or API call, with structured arguments that an app then runs.
GA4 AI Assistant Channel
The GA4 AI Assistant channel is a default channel that groups visits from recognized AI assistants such as ChatGPT and Gemini under the ai-assistant medium.
Generative AI Performance Report (Search Console)
The generative AI performance report in Google Search Console shows the impressions your pages earn in AI Overviews and AI Mode, by page, country and device.
Generative AI Search
Generative AI search answers a query with a written response synthesized from retrieved sources, with citations, instead of a ranked list of links.
Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the practice of earning mentions and citations in AI answers from ChatGPT, Google AI Overviews, Gemini and Perplexity.
Generative Search Optimization
Generative search optimization earns visibility in search products that add AI-written answers, such as AI Overviews, AI Mode, ChatGPT search and Copilot.
GEO Audit
A GEO audit checks how a brand appears in AI answers, whether AI crawlers can reach and cite its pages, and which sources AI engines rely on, then ranks fixes.
GEO Performance Metrics
GEO performance metrics measure how a brand appears in AI answers: mentions, visibility, share of voice, position, sentiment, citations and AI traffic.
Ghost Citation
A ghost citation is an AI answer that names your brand without linking to your site, giving you exposure that never appears in referral analytics.
Google Gemini
Google Gemini is Google's AI model family and assistant app. Gemini models power AI Overviews and AI Mode; Gemini 4 Argon is the newest flagship.
Google Preferred Sources
Google Preferred Sources lets users pick favorite sites. Picked sites get a 'preferred' badge in Top Stories and, since May 2026, in AI Overviews and AI Mode.
Google Search Console
Google Search Console is Google's free tool for site owners showing search performance, indexing and crawl data, plus AI Overviews and AI Mode impressions.
Google-Extended
Google-Extended is a robots.txt token that controls Gemini training and Gemini app grounding. It does not remove a site from AI Overviews or AI Mode.
GPT (Generative Pre-trained Transformer)
GPT is OpenAI's family of generative pre-trained transformer models behind ChatGPT. The current generation, GPT-6, comes in Astra, Sol and Luna tiers.
Grok
Grok is the AI assistant and model family from xAI, now part of SpaceX. It searches the web and public X posts, and Grok 4.7 is its newest model.
Grounding Queries
Grounding queries are the search queries an AI model writes and runs to find sources for an answer. They decide which pages it reads and can cite.
Grounding Rate
Grounding rate is the share of AI answers built from live retrieved sources rather than the model's memory. It shows which prompts content work can change.
Helpful Content
Helpful content is Google's term for people-first content made to help readers, not game rankings. Core systems reward it, in AI Overviews and AI Mode too.
Hybrid Search
Hybrid search runs keyword and vector retrieval together and merges the results, so a system matches exact terms and meaning at once. AI search engines use it.
Image Optimization
Image optimization is making images load fast, render at the right size and carry descriptive text, for better page speed, accessibility and AI understanding.
Image Search Optimization
Image search optimization makes images discoverable and correctly understood in Google Images, Google Lens, Circle to Search and AI answers that show images.
IndexNow
IndexNow is an open protocol that lets sites tell Bing, Yandex, Amazon and other search engines instantly when a URL is added, changed or deleted.
Information Gain
Information gain is the new information a page adds beyond what a reader or AI system already has from other sources, such as original data or test results.
Internal Linking
Internal linking connects pages on the same site with links, helping search engines and AI crawlers find pages and understand how topics relate.
JavaScript Rendering for AI Crawlers
JavaScript rendering decides whether crawlers see content that loads via JavaScript. Most AI crawlers do not run it, so client-side content stays invisible.
Knowledge Cutoff
A knowledge cutoff is the date after which an AI model has no training data. Newer facts reach the model only through web search or retrieval.
Knowledge Graph
The Knowledge Graph is Google's database of entities and the facts linking them. It fills knowledge panels and helps Google resolve which entity a query means.
Knowledge Graphs
Knowledge graphs store facts as entities joined by typed relationships. AI systems use them to tell entities apart, check facts and answer multi-step questions.
Knowledge Panel
A knowledge panel is the Google Search box summarizing an entity from the Knowledge Graph. Claiming it lets you suggest fixes to facts AI answers may repeat.
Large Language Model (LLM)
A large language model (LLM) is a neural network trained on vast text to predict tokens. LLMs such as GPT-6, Claude and Gemini power AI search and assistants.
Large Language Model Optimization (LLMO)
Large Language Model Optimization (LLMO) shapes what language models know and say about a brand, from training data and from pages they retrieve at answer time.
Latent Intent
Latent intent is the set of unstated needs behind a search or prompt. AI search systems infer it and cover it through query fan-out and follow-up suggestions.
Link Building
Link building is earning links from other websites to your pages. Links still help Google rankings, but brand mentions correlate more with AI answer visibility.
LLM Citations
LLM citations are the source links an AI assistant attaches to a generated answer. They appear when the model retrieves live web content, not from memory.
LLM Content Optimization
LLM content optimization is the page-level craft of writing and structuring content so language models can retrieve, extract, quote and attribute it accurately.
LLM Evaluation
LLM evaluation is the practice of measuring how well a language model performs on defined tasks, using benchmarks, human ratings, model graders and live tests.
LLM Hallucination Mitigation
LLM hallucination mitigation covers the methods that reduce false AI output: grounding in retrieved sources, abstaining when unsure, tool use and verification.
LLM Rank Tracking
LLM rank tracking measures where and how often your brand appears in AI assistant answers for a fixed prompt set, the AI search version of SEO rank tracking.
LLM-Ready Content
LLM-ready content is web content that language models can fetch, parse and quote accurately: server-rendered, clearly structured and specific about its facts.
LLMs-full.txt
llms-full.txt is a single Markdown file holding the full text of a site's docs for AI tools. It is a Mintlify convention, not part of the llms.txt v2 spec.
LLMs.txt
llms.txt is a proposed Markdown file that gives AI agents a curated map of a website. Google Search ignores it, and no AI search engine says it ranks on it.
Local Citations
Local citations are online mentions of a business's name, address and phone number in listings and directories that maps and AI assistants use to verify it.
Local SEO
Local SEO is optimizing a business's listings, reviews and website so it appears for nearby searches in map results, AI Overviews and AI assistants like Gemini.
Long-tail Keywords
Long-tail keywords are specific, lower-volume search phrases with clear intent. In AI search they become detailed prompts, where topics beat exact phrases.
Machine Learning
Machine learning is the branch of AI in which systems learn patterns from data instead of following hand-written rules. It underlies search ranking and LLMs.
Markdown for Agents
Markdown for Agents is a Cloudflare feature that serves AI agents a Markdown version of any HTML page when they send an Accept: text/markdown header.
Mention Rate
Mention rate is the percentage of AI responses in a tracked prompt set that name your brand in the answer text, whether or not they link to your site.
Merchant Center
Merchant Center is Google's free tool for submitting product, shipping and store data that powers Shopping results, AI Mode and Gemini product answers.
Meta AI
Meta AI is Meta's assistant inside WhatsApp, Instagram, Facebook and Messenger. Since April 2026 it runs on Muse Spark, a closed model that replaced Llama.
Microsoft Copilot
Microsoft Copilot is Microsoft's AI assistant across Windows, Edge, Bing and Microsoft 365. Its web answers are grounded in Bing's index and cite sources.
Mobile-First Indexing
Mobile-first indexing means Google crawls and indexes the mobile version of a page with its smartphone crawler. That indexed version also feeds AI Overviews.
Model Context Protocol (MCP)
Model Context Protocol (MCP) is an open standard for connecting AI apps to tools and data. Anthropic created it; the Linux Foundation's AAIF now hosts it.
Multi-Source Synthesis
Multi-source synthesis is how AI answer engines combine facts from several retrieved sources into one written answer, citing each source for its part.
Multimodal AI
Multimodal AI is AI that takes in and reasons over more than one type of data, such as text, images, audio and video, within a single model or system.
Multimodal Search Optimization
Multimodal search optimization is preparing text, images, video and product data together so AI search systems can find, understand and cite them consistently.
Natural Language Processing (NLP)
Natural language processing (NLP) is the field of AI that lets computers analyze, understand and generate human language, from search queries to AI answers.
Natural Language Queries
Natural language queries are searches written or spoken as full questions with context, not keyword fragments. They are the default input for AI assistants.
NLWeb
NLWeb is an open protocol and reference implementation, started by Microsoft, that lets a website answer natural language questions from people and AI agents.
Open Source LLMs
Open source LLMs are language models whose weights anyone can download and run. Most are open-weight, not fully open source, and come with varied licenses.
OpenAI
OpenAI is the AI company behind ChatGPT, Codex and the GPT-6 models. It said in September 2026 that ChatGPT had 1.2 billion weekly users.
OpenAI Crawlers
OpenAI crawlers are the user agents OpenAI uses on the web: OAI-SearchBot for ChatGPT search, GPTBot for training, ChatGPT-User and OAI-AdsBot.
Organization Schema and sameAs
Organization schema is structured data describing a company, with sameAs links to its other profiles. It aids entity disambiguation but is no AI ranking hack.
Page Experience
Page experience is Google's term for how usable a page is: Core Web Vitals, HTTPS, mobile display, ads and interstitials. Google says it is not one signal.
Page Speed
Page speed is how quickly a page responds, renders and becomes usable. It affects users, Google's Core Web Vitals and how reliably AI crawlers fetch content.
Parametric Knowledge
Parametric knowledge is what a language model learned in training and stores in its weights. It answers without searching, but cannot cite or update itself.
Passage Ranking
Passage ranking is Google's system for ranking a page on the strength of one relevant passage, live since 2021, and the passage-level scoring used by AI search.
Pay Per Crawl
Pay per crawl lets a site charge AI crawlers a fee for each page fetch, using HTTP 402 Payment Required. Cloudflare's version is still in closed beta.
Perplexity AI
Perplexity is an AI answer engine that searches the web for each question and replies with numbered source citations. It also makes the Comet browser.
Perplexity Comet
Perplexity Comet is a free Chromium-based AI browser with a built-in assistant that answers questions about pages and completes tasks for the user.
Persona-Based Prompt Tracking
Persona-based prompt tracking runs the same tracked prompts in the context of a specific buyer profile, to see how AI answers change for that audience.
Position-Adjusted Word Count (PAWC)
Position-adjusted word count is a GEO visibility metric: the share of an AI answer's words attributed to a source, weighted toward sentences near the top.
Product Feeds for AI Shopping
Product feeds for AI shopping are structured catalog data that merchants send to ChatGPT, Google and Copilot so AI assistants can show and sell their products.
Progressive Web Apps (PWA)
A progressive web app is a website that can be installed and work offline like an app, using a manifest and service worker. Its content must still be crawlable.
Prompt Engineering
Prompt engineering is writing and testing instructions for language models so they produce consistent, useful output. It now sits within context engineering.
Prompt Injection
Prompt injection is an attack where text in a prompt, web page or file makes an AI model ignore its instructions. It is the top risk in OWASP's LLM Top 10.
Prompt Monitoring
Prompt monitoring means running a fixed set of prompts through AI platforms on a schedule and recording mentions, citations, position and sentiment.
Prompt Research
Prompt research is finding and prioritizing the questions buyers ask AI assistants, so you know which prompts to track and create content for.
Prompt Volume
Prompt volume estimates how often a question is asked to AI assistants. No AI platform publishes it, so it is modeled from keyword demand and other proxies.
Publisher Licensing
Publisher licensing covers the deals, marketplaces and standards that let AI companies pay publishers to train on or ground answers in their content.
Query Fan-Out
Query fan-out is how AI search splits one question into several sub-queries, runs them at once and merges the results, so pages compete on each sub-query.
RAG (Retrieval-Augmented Generation)
RAG is how AI answer engines like ChatGPT search, Perplexity and AI Mode fetch web pages at question time and cite them, deciding which brands appear.
RankBrain
RankBrain is a machine learning system Google has used since 2015 to relate the words in a search to concepts, so it can match pages that use different wording.
Real-Time Search
Real-time search is retrieving current web information at the moment a question is asked, so an AI answer reflects today's facts rather than training data.
Really Simple Licensing (RSL)
Really Simple Licensing (RSL) is an open XML standard for declaring how AI systems may use web content and on what terms. RSL 1.0 came out in December 2025.
Reasoning Models
Reasoning models are LLMs that work through a problem in internal steps before answering. In 2026 most frontier models expose this as a thinking setting.
Reddit Citations
Reddit citations are Reddit threads that AI answers cite as sources. ChatGPT nearly stopped citing Reddit in August 2026, while AI Overviews still does.
Reference Rate
Reference rate is the share of tracked AI answers that reference your brand in any form, either by naming it in the text or citing your site as a source.
Relevance Engineering
Relevance engineering is Mike King's framework for search and AI visibility, combining information retrieval, AI, UX, content strategy and digital PR.
Reranking
Reranking is the second retrieval stage, where a precise model rescores candidate passages so only the most relevant few reach the LLM that writes the answer.
Retrieval Coverage
Retrieval coverage measures how much of your priority content AI search systems can fetch and retrieve, and how many of their search queries return your pages.
Retrieval Evaluation
Retrieval evaluation measures whether a search or AI system finds the right documents and passages for a query, before judging the answer written from them.
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation is a technique that pairs a language model with a retriever, so each answer is written from documents fetched for that query.
RLHF (Reinforcement Learning from Human Feedback)
RLHF (reinforcement learning from human feedback) trains LLMs on human rankings of their answers, shaping how assistants respond, hedge and cite.
Robots.txt
Robots.txt is a root-level file that tells crawlers which URLs they may fetch. It now decides whether AI search and training bots can reach your content.
Scaled Content Abuse
Scaled content abuse is Google's spam policy against mass-producing low-value pages to manipulate rankings or, since May 2026, AI Overviews and AI Mode.
Schema Markup
Schema markup is Schema.org structured data, usually JSON-LD, that labels what a page describes. It drives rich results but is not an AI citation shortcut.
Search Engine Optimization (SEO)
SEO (search engine optimization) is the practice of making pages easy to crawl, understand and trust, so they rank in search and get cited in AI answers.
Search Engine Results Page (SERP)
A SERP is the page a search engine shows for a query. On Google it now mixes AI Overviews, ads, organic links and other features that vary query to query.
Search Everywhere Optimization
Search everywhere optimization keeps the SEO acronym but widens it to every place people search: Google, AI assistants, YouTube, TikTok, Reddit, marketplaces.
Search Experience Optimization (SXO)
Search experience optimization (SXO) combines SEO with UX and conversion work so the journey from search result or AI answer to action satisfies the searcher.
Search Generative AI Control
The Search generative AI control is a Search Console setting that lets a site opt out of AI Overviews, AI Mode and Discover AI features without leaving Search.
Search Generative Experience (SGE)
Search Generative Experience (SGE) was Google's 2023 Search Labs test of AI answers. It became AI Overviews in May 2024 and led to AI Mode in 2025.
Search Intent
Search intent is the goal behind a query or prompt: learning, finding a site, comparing options or buying. Matching it decides rankings and AI citations.
Search Intent Classification
Search intent classification is labeling queries or AI prompts by user goal, by hand, with rules or with models, so teams can segment and act on them.
Search Query Optimization
Search query optimization aligns content with the exact queries people type and the sub-queries AI engines generate, from short keywords to long prompts.
Search Volume
Search volume is the estimated number of times a keyword is searched per month. It measures demand on search engines but not prompts asked in AI assistants.
Self-Citation Rate
Self-citation rate is the share of all citations in tracked AI answers that point to your own domain rather than to third-party pages written about you.
Self-Promotional Listicles
Self-promotional listicles are 'best X' articles in which the publisher ranks its own product first. Since 2026, evidence suggests Google discounts them.
Self-Reported Attribution
Self-reported attribution asks customers how they found you, which exposes AI assistant influence that click-based analytics often files as direct traffic.
Semantic Search
Semantic search returns results that match the meaning and intent of a query, not just its words, using language models, embeddings and entity understanding.
Sentiment Monitoring
Sentiment monitoring tracks how positively or negatively a brand is described, across reviews, social posts, news and AI-generated answers, over time.
SERP Features
SERP features are results-page elements beyond standard links, like AI Overviews, featured snippets, local packs and People Also Ask, each with its own rules.
Share of Model
Share of model is a brand's share of all brand mentions in AI model answers for its category, measured per model and over time against named competitors.
site: Operator Queries
site: operator queries limit search results to one domain, like 'site:example.com pricing'. AI engines now run them in fan-out to read specific sites.
Small Language Models (SLMs)
Small language models (SLMs) are compact LLMs, roughly under 10 billion parameters, built to run cheaply or on-device for summarizing, routing and tool use.
Snippet Controls (nosnippet, max-snippet, data-nosnippet)
Snippet controls are robots meta rules and an HTML attribute that limit how much page text Google shows, including what AI Overviews and AI Mode can use.
Social Media Citations
Social media citations are links to Reddit, YouTube, LinkedIn, Facebook, TikTok or X that AI engines attach as sources. Their share varies sharply by engine.
Social Signals
Social signals are engagement metrics such as likes, shares, comments and followers. They are not direct ranking factors, but they can drive links and mentions.
Source Aggregation
Source aggregation is the AI search stage that pools results from all sub-queries, filters and deduplicates them, and picks the evidence the model will cite.
Source Citation
A source citation is a link or reference an AI answer attaches to show where its information came from. Citations credit pages and can send referral visits.
Speakable
Speakable is a Schema.org property marking page sections for text-to-speech. Google's support is still a US English news beta for Google Assistant speakers.
Structured Content
Structured content is visible content split into predictable parts, such as headings, lists, tables and repeated blocks, that readers and machines can parse.
Sub-Document Retrieval
Sub-document retrieval is when AI search systems index and rank passages within pages rather than whole pages, making the passage the unit that gets cited.
Sycophancy
Sycophancy is an AI model's tendency to agree with or flatter the user instead of giving the most accurate answer, often by accepting a prompt's false premise.
Synthetic Data
Synthetic data is artificially generated data that mimics real data. AI labs now use it heavily to train LLMs, alongside human-written web content.
TDM Rights Reservation
A TDM rights reservation is a rightsholder's opt-out from text and data mining under EU law, which must be machine-readable for online content to take effect.
Technical SEO Audit
A technical SEO audit checks whether search engines and AI crawlers can fetch, render, index and understand a site's pages, then ranks the fixes by impact.
Test-Time Compute
Test-time compute is the extra computation a model spends while answering, through reasoning tokens, multiple attempts or verification, to solve harder tasks.
The Great Decoupling
The Great Decoupling is the split between rising Search Console impressions and falling clicks that site owners saw as Google's AI Overviews expanded in 2025.
Third-Party Mentions
Third-party mentions are references to a brand on sites it does not own, such as reviews, news and listicles. AI answers use them to pick which brands to name.
Time to First Citation
Time to first citation is the number of days between publishing a page and the first time an AI search engine cites it as a source in an answer.
Tokens
Tokens are the units of text a language model reads and writes, such as word pieces or punctuation. They set context window limits, API prices and rate limits.
Topical Authority
Topical authority is the recognized expertise a website has on a specific subject, earned through deep coverage, original work and citations from other sources.
Topical Map
A topical map is a planning document that lists every topic, subtopic and question a site should cover, which page answers each one, and what to publish first.
Training Data Optimization
Training data optimization makes accurate brand information part of what future AI models learn by shaping the public sources that training crawls collect.
Transformer Architecture
Transformer architecture is the neural network design behind modern LLMs. It uses self-attention to weigh how every token in a sequence relates to every other.
UGC Citations
UGC citations are AI answer sources drawn from user-generated content such as Reddit threads, forums, reviews, Q&A sites and videos rather than editorial pages.
UI vs API Tracking
UI vs API tracking is the choice between collecting AI answers from a chatbot's consumer interface or its API, which return different sources and brands.
Universal Commerce Protocol (UCP)
The Universal Commerce Protocol (UCP) is an open standard from Google and retailers that lets AI agents check out from merchants in AI Mode and Gemini.
User Experience (UX)
User experience (UX) is how people perceive and use a website: speed, usability, accessibility and design. It affects rankings, conversions and AI referrals.
Vector Search
Vector search finds content by comparing embedding vectors, returning items closest in meaning to a query. It is the semantic half of AI search retrieval.
Video SEO
Video SEO is optimizing videos and their watch pages so search engines index them, show them in video features and cite them in AI answers like AI Overviews.
Visual Search
Visual search is searching with an image or camera view instead of words, using Google Lens, Circle to Search and AI assistants that understand images.
Voice Search
Voice search is searching by speaking a question to an assistant like Gemini, Siri or Alexa+, which now answers with generative AI rather than a list of links.
Voice Search Optimization
Voice search optimization is the practice of making content, listings and product data easy for AI voice assistants to find, trust and read aloud as one answer.
Web Bot Auth
Web Bot Auth is an IETF draft protocol in which bots sign each HTTP request with a private key, so websites can verify which operator actually sent it.
WebMCP
WebMCP is a proposed browser standard that lets web pages expose structured tools to AI agents, so agents call site functions instead of clicking the UI.
Wikidata
Wikidata is the free, structured knowledge base of the Wikimedia projects. Its item IDs help search engines and AI systems tell which entity a name refers to.
Wire Echo
Wire echo is when one press release or wire story is republished across many sites and AI systems treat the copies as independent confirmation of one claim.
x402
x402 is an open protocol that uses the HTTP 402 Payment Required status so AI agents and apps can pay for an API call or web page inline, without an account.
XML Sitemaps
An XML sitemap is a file listing a site's canonical URLs, with optional lastmod dates, that helps search engines and AI search discover and refresh pages.
YMYL (Your Money or Your Life)
YMYL (Your Money or Your Life) is Google's label for topics that could affect health, finances, safety or society, where content faces the strictest standards.
YouTube Transcript Citations
YouTube transcript citations are AI answers that cite a YouTube video as a source, usually because its transcript, captions or description matched the question.
Zero-Click Attribution
Zero-click attribution estimates the business value of AI answers and search features that influence buyers without sending a trackable click to your site.
Zero-Click Search
A zero-click search ends without a click to any website because the results page or AI answer resolves it. In early 2026, 68% of US Google searches did.
Zero-Shot Learning
Zero-shot learning is a model's ability to perform a task from instructions alone, with no worked examples in the prompt and no task-specific training.
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