Agent Experience (AX)
Agent experience is how easy a company makes it for AI agents to read its information, use its services and complete a task.
Read moreWelcome to Parsnipp's GEO glossary of terms for AI search and visibility, LLM optimization, and generative engine marketing. This is your go-to resource for essential AI search terms and definitions. Whether you're navigating optimization, citations, or discovery, use this to stay informed and effective in today's AI-powered landscape.
114 of 114 terms
Agent experience is how easy a company makes it for AI agents to read its information, use its services and complete a task.
Read moreAgentic checkout is a purchase flow where an AI agent places the order on a shopper's behalf instead of the shopper filling in a checkout form.
Read moreAgentic commerce is buying and selling where an AI agent does the searching, comparing and often the purchasing on a person's behalf.
Read moreThe Agentic Commerce Protocol is an open specification from OpenAI and Stripe for how an AI agent and a merchant exchange checkout and payment information.
Read moreAgentic search sends an AI assistant through its own sequence of searches and page reads before it answers, planning each step as it goes.
Read moreAn agentic storefront is the machine-readable version of a shop: products, prices, stock and terms exposed so an AI agent can browse and select.
Read moreagents.md is a Markdown file in a code repository that tells AI coding agents how to build, test and work with that project.
Read moreAn AI answer engine is a search system that retrieves passages from live web sources and uses a language model to write one cited reply.
Read moreAI brand sentiment is the tone an AI assistant takes when it describes your brand in a generated answer: positive, neutral, negative or mixed.
Read moreAn AI crawler is an automated client that fetches web pages for an AI company, either to train a model or to source a live answer.
Read moreAn AI Overview is the summary Google writes above its regular search results, built from web pages and shown in place of the top links.
Read moreAI search is the category of search products that answer a question in written prose instead of returning a list of links.
Read moreAn AI search impression is one instance of your brand appearing inside a generated answer, counted once per answer rather than once per link.
Read moreAI Search Optimization (AISO) is the practice of making a brand findable and quotable across AI search surfaces, from ChatGPT to Google's AI Mode.
Read moreAI search ranking is the scoring step that decides which retrieved passages reach the model before an answer is written.
Read moreAI search traffic is the visitors who reach your site from a link inside an AI assistant's answer.
Read moreAn AI shopping agent is software that carries out a shopping task for a person: interpreting the brief, searching, comparing and sometimes buying.
Read moreAI-attributed conversion is a sale or signup credited to a visit that began with an AI assistant naming your brand.
Read moreAn AI-generated answer is the text an assistant writes in reply to a question, assembled from retrieved sources rather than copied from one.
Read moreAn answer engine resolves a question on the results surface, returning the answer itself rather than a list of documents to read.
Read moreAnswer Engine Optimization (AEO) is the practice of writing pages so a search product can lift a direct answer from them and attribute it to you.
Read moreAnswer-first content puts the direct answer in the opening lines of a page or section, before any background.
Read moreAuthor authority is the weight a search or AI system gives a page because of who wrote it and what else that person has published.
Read moreAuthority content is material a category treats as a reference: the piece people link to, quote and check against when they want the facts settled.
Read moreA backlink is a link on another website pointing at a page on yours, giving a crawler a route to follow and a ranking system a signal to count.
Read moreBrand mention optimization is the work of getting your brand named inside AI answers, whether or not the answer links to your site.
Read moreBusiness-to-Agent is a label for selling to AI agents acting for customers, rather than to the customers directly.
Read moreChatGPT Ads is the shorthand marketers use for paid placement inside ChatGPT, a category discussed and trialled far more than it is documented.
Read moreChatGPT Search is the feature inside ChatGPT that runs live web searches and writes an answer with links to the pages it used.
Read moreChatGPT Shopping is the set of features inside ChatGPT that surface products, compare them and, for eligible merchants, complete the purchase in chat.
Read moreA citation magnet is a page built to be named as the source in an AI answer, usually because it holds a fact nobody else publishes.
Read moreCitation optimization is the practice of making a page easy for an AI assistant to quote and attribute, so your domain appears as a named source.
Read moreCitation rate is the share of tracked prompts where an AI assistant names your site as a source, expressed as cited prompts divided by total prompts run.
Read moreA cited source is a page an AI assistant names and links as the origin of a claim in its answer.
Read moreContent chunking is the practice of writing a page as a series of self-contained blocks, each covering one idea under its own heading.
Read moreContent freshness is how current the facts on a page are, and how recently the page was genuinely revised.
Read moreA context window is the maximum amount of text a language model can hold at once, counted in tokens and shared by the prompt, the sources and the reply.
Read moreConversational commerce is selling through a chat interface, where a customer asks questions in natural language and a person or a bot answers.
Read moreA conversational query is a search input written the way a person speaks, usually a full question, often followed by refinements in the same session.
Read moreCore Web Vitals are three measurements Google uses to describe a page's real-world experience: loading speed, responsiveness and visual stability.
Read moreCrawlability is whether an automated client can reach a page on your site, fetch it, and receive readable content in the response.
Read moreDark traffic is the visits your analytics files as direct because the referrer never arrived.
Read moreDeep research is a mode in an AI assistant that spends minutes rather than seconds on a question, running many searches and returning a long cited report.
Read moreDigital PR is earning coverage and mentions on other websites rather than buying space on them.
Read moreDomain authority is a third-party score estimating how likely a website is to rank in search, calculated mostly from its backlink profile.
Read moreE-E-A-T stands for experience, expertise, authoritativeness and trust, the four qualities Google's quality raters use to judge a page.
Read moreAn embedding is a list of numbers that represents the meaning of a piece of text, placed so that texts with similar meanings sit close together.
Read moreAn entity footprint is the full set of places a model has seen your brand described: your site, directories, review platforms, news and social profiles.
Read moreEntity optimization is the work of making a model recognize your brand as a specific thing with known attributes, not just a string that appears on a page.
Read moreExtractability is how easily a machine can lift a clean, correct, self-contained answer out of a page.
Read moreFactual density is how many checkable statements a passage contains: names, dates, quantities, conditions and specifications.
Read moreAn FAQ content strategy is the deliberate use of question-and-answer blocks to cover the specific things buyers ask, not a catch-all list.
Read moreA featured snippet is the short extract Google places above the organic results to answer a query, pulled verbatim from a page it has indexed.
Read moreGemini is Google's family of AI models and the assistant app built on them, and the same models write the AI answers inside Google Search.
Read moreA generative engine writes its answer with a language model instead of returning documents, using passages it just retrieved from the web.
Read moreGenerative Engine Optimization is the practice of getting a brand cited inside the answers AI assistants write, rather than ranked in a list of links.
Read moreA GEO score is a composite number a vendor calculates to summarize how well a site is set up to be cited by AI assistants.
Read moreGEO and SEO are two ways of earning search visibility for the same content: SEO competes for a ranking position, GEO for a mention in a written answer.
Read moreGoogle AI Mode is a tab inside Google Search that replaces the list of results with a written answer you can keep asking questions of.
Read moreGoogle SGE, or Search Generative Experience, was the opt-in Search Labs experiment that put a generated answer at the top of Google's results.
Read moreGoogle-Extended is a robots.txt token, not a crawler, that controls whether Google may use your content to improve its Gemini models.
Read moreGrok is xAI's assistant, available inside X and as a standalone app, answering from the open web and from posts on X.
Read moreGrounding is the practice of tying a model's answer to specific source documents so each claim traces back to something actually retrieved.
Read moreIndexability describes whether a page, once fetched, is eligible to be stored in an index and returned in results.
Read moreInformation gain is how much a page adds that is not already available in the other pages covering the same subject.
Read moreInstant Checkout is OpenAI's feature that lets a shopper buy a product from a participating merchant without leaving ChatGPT.
Read moreA knowledge cutoff is the date after which a model's training data stops, so anything that happened later is absent from what the model learned.
Read moreA knowledge graph is a database of real-world things and the links between them, holding your brand as an entity rather than a string.
Read moreA large language model is a system trained on huge amounts of text to predict the next piece of text, one fragment at a time.
Read moreLLM advertising is paid placement inside the answers an AI assistant writes, rather than alongside them in a separate list of results.
Read moreAn LLM audit checks what AI assistants currently say about a brand, which sources they draw on, and where those answers are wrong or missing.
Read moreLLM visibility is how often, and how favorably, a brand appears in the answers large language models write for real buyer questions.
Read morellms-full.txt is a single plain text file holding the full content of a site's key pages, not just links to them.
Read morellms.txt is a plain text file at your site root that tells AI systems which pages matter most and what your site is about.
Read moreLog file analysis is reading your web server's raw request records to see exactly which bots and visitors fetched which URLs, and when.
Read moreA long-tail AI query is a long, specific question typed into an assistant, usually a full sentence with constraints attached rather than a few keywords.
Read moreMicrosoft Copilot Search is Microsoft's assistant answering a question from live web results, with links to the pages behind the reply.
Read moreModel Context Protocol (MCP) is an open standard that lets an AI assistant call external tools and read external data through a defined interface.
Read moreMulti-turn conversation modeling is the practice of planning content for a whole exchange with an assistant rather than a single question.
Read moreParsnip with one P is the root vegetable. Parsnipp with two Ps is a software company working on generative engine optimization.
Read morePassage ranking is the scoring step that puts individual chunks of text in order, so the best few paragraphs get handed to a model rather than whole pages.
Read morePerplexity AI is a search product that answers a question in prose and numbers its sources inline as it writes.
Read morePersona-based querying runs the same question as several different kinds of buyer, then compares the answers each version gets back.
Read moreA pillar page is a single page that covers a whole subject at a broad level and links out to the deeper pages beneath it.
Read moreProduct feed optimization is making a structured product data file accurate, complete and consistent so shopping channels and AI agents can read it.
Read morePrompt engineering for content is the practice of writing and testing prompts against AI assistants to plan, check and stress-test what you publish.
Read morePrompt tracking records what AI assistants say when a fixed list of buyer questions is asked, run after run, so a brand can see whether it is named.
Read moreThe prompt-to-citation funnel is the sequence of stages between someone typing a question and your page being named as a source in the answer.
Read moreA reasoning model is a language model that works through a problem in intermediate steps before committing to an answer.
Read moreReranking is the second pass over a set of search results, where a slower, more accurate model reorders the shortlist before anything reaches the answer.
Read moreRetrieval-augmented generation is the pattern where a system searches a set of documents first, then hands what it found to a model to write the answer.
Read morerobots.txt is a plain text file at a site's root that tells each named crawler which paths it may request.
Read moreSearch engine optimization is the work of making a website rank in the unpaid results of a search engine like Google.
Read moreA search engine results page, or SERP, is the page a search engine returns after a query, holding organic links, ads and whatever blocks it chooses to add.
Read moreSemantic search finds content by comparing meaning rather than matching words, so a page about trainers can answer a question about running shoes.
Read moreServer-side rendering (SSR) is building a page's HTML on the server so the response already contains the content.
Read moreShare of model is your share of the brand mentions an AI assistant makes when it answers a category question from what it already knows.
Read moreShare of voice in AI search is the percentage of brand mentions inside a set of generated answers that belong to you rather than to a competitor.
Read moreSource credibility signals are the checkable properties of a page and its publisher that a retrieval system uses to decide whether to trust and cite it.
Read moreA sponsored citation is a source that appears in an AI answer's reference set because someone paid for it, not because retrieval selected it.
Read moreStructured data markup is machine-readable code added to a page that labels what the content is: a product, an author, a price, a definition.
Read moreA synthetic query is a question a marketer writes to test AI visibility, standing in for one a real buyer might ask an assistant.
Read moreTokenization splits text into the small units a model actually reads, usually word fragments rather than whole words.
Read moreA topic cluster is a group of pages covering one subject from different angles, linked together around a broad page at the center.
Read moreTopical authority is the depth and consistency of a site's coverage across one subject, judged as a whole rather than page by page.
Read moreVector search is the lookup that finds the closest matches in a set of numeric representations, returning nearest neighbours rather than exact hits.
Read moreA visibility score is a single number summarizing how often and how prominently a brand appears across a tracked set of AI assistant answers.
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