Glossary
The AI search glossary
The Attensira glossary defines the terms of AI search, generative engine optimization and SEO, one term per page. Each page opens with a definition you can quote on its own, then shows the term at work in our own ChatGPT and Perplexity answers and crawler logs.
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- Content authority27 citations
- BM2513 citations
- Conversational search10 citations
- Embeddings10 citations
- BERT9 citations
- Tokens9 citations
- Content clusters7 citations
Every one came from two questions about us: content authority from “Attensira reviews”, the rest from “what is Attensira”. ChatGPT used the glossary to explain what we do; Perplexity cited none of them.
Analyst · Reads which pages answers citeCitations from 4 Sep 2026, read over the Attensira MCP · · citations in ChatGPT answers to 2 tracked questionsWhich term are you looking for?
Every term, A to Z, grouped by field. Each one has its own page.
Generative engine optimization15 terms
- AI brand mentions An AI brand mention is your name in the text of an AI answer, link or no link.
- AI content ranking AI content ranking is how an AI system picks which passages to read and cite before it answers.
- AI Overview An AI Overview is Google's AI-written summary above the search results.
- AI response optimization AI response optimization is editing the passages an AI answer quotes so the answer is correct and names you.
- AI search performance AI search performance is how often AI answers name and link your brand, measured by sampling.
- AI visibility score An AI visibility score is a vendor's single number for presence in AI answers.
- AI-first content strategy An AI-first content strategy plans pages for a reader that is a machine lifting one passage.
- ChatGPT optimization ChatGPT optimization is the work of getting ChatGPT to name and link your brand in its answers.
- Citation position Citation position is where a source sits in an AI answer's list of links.
- Citation probability Citation probability is the chance an AI answer links your page for a question.
- Content authority Content authority is how far search engines and AI answers trust a page on its topic.
- LLM content optimization LLM content optimization is writing pages a language model can fetch, lift a passage from and repeat correctly.
All 15 termsShow the first 12
- Search everywhere optimization Search everywhere optimization means being found wherever people ask: Google, AI assistants, YouTube, Reddit and LinkedIn.
- Topical authority Topical authority is being the go-to source on one subject.
- Training data optimization Training data optimization means publishing so future AI models learn the right facts about you.
What do the engines read when they explain what we do?
Asked “what is Attensira”, ChatGPT and Perplexity cited our own site in 63 of 66 answers, ahead of G2 and LinkedIn. On ChatGPT, glossary pages are among the attensira.com pages it cites: it borrows our definitions to explain the product.
| Name | Cited · “what is Attensira” | Count |
|---|---|---|
| attensira.comyou | 95.5% | 63 |
| g2.com | 77.3% | 51 |
| linkedin.com | 68.2% | 45 |
| docs.attensira.com | 63.6% | 42 |
| capterra.com | 45.5% | 30 |
| techtimes.com | 30.3% | 20 |
Artificial intelligence28 terms
- AI content detection AI content detection tries to tell machine text from human text.
- AI hallucination An AI hallucination is a fluent, confident statement a model makes that is false.
- AI search AI search is search where a model reads pages and writes the answer instead of returning ten links.
- AI training data AI training data is the text a model learned from before release.
- Anthropic Anthropic is the AI company that builds Claude.
- BERT BERT is Google's language model for reading queries in context, live in Search since 2019.
- BM25 BM25 is a keyword ranking function that scores documents by exact term matches.
- ChatGPT ChatGPT is OpenAI's AI assistant, answering from memory or by searching the web.
- Chunking Chunking splits documents into small pieces so each can be retrieved alone.
- Claude Claude is Anthropic's family of AI models and its assistant.
- Context window A context window is how much text a language model can read at once, in tokens.
- Conversational search Conversational search is searching through a dialogue with an AI assistant, where follow-ups build on earlier turns.
All 28 termsShow the first 12
- Embeddings An embedding is a list of numbers representing text so that similar meanings sit close together.
- Gemini Gemini is Google's family of AI models and its assistant app.
- Grounding Grounding ties an AI answer to sources fetched at answer time, such as search results, so it can cite them.
- Knowledge cutoff A knowledge cutoff is when the training data of a model ends.
- Large language model (LLM) An LLM is a neural network trained on huge amounts of text to predict the next token.
- Model Context Protocol (MCP) MCP is the open standard that connects AI apps to outside data and tools over JSON-RPC.
- Natural language processing (NLP) NLP is the field of getting machines to read and write human language.
- OpenAI OpenAI makes ChatGPT and the GPT models, and runs four named crawlers.
- Perplexity AI Perplexity is an answer engine that searches the live web and writes cited answers.
- Prompt engineering Prompt engineering is structuring what you send a language model so its output meets a set goal.
- Prompt injection Prompt injection is when text a model reads steers it in ways its builder did not intend.
- RAG (retrieval-augmented generation) RAG, retrieval-augmented generation, has a model fetch documents and write from them.
- Real-time search Real-time search is an AI assistant fetching current web pages as it answers.
- Reranking Reranking is the second pass that reorders retrieved passages before an AI model reads them.
- Tokens A token is the unit of text a language model reads and writes.
- Vector search Vector search finds text by meaning, comparing embedding vectors instead of words.
Which terms do AI crawlers read most?
Requests to our own glossary pages in 30 days, from the AI traffic log. The crawl-control terms lead: the bots read about themselves.
- Crawling and indexing
- 48
- AI crawler requests
- Robots.txt
- 45
- AI crawler requests
- AI search
- 44
- AI crawler requests
- AI hallucination
- 37
- AI crawler requests
AnalystAI traffic log, by claimed user agent, Attensira MCP · to Search engine optimization28 terms
- Backlinks A backlink is a link from another site to yours.
- Canonical URLs A canonical URL is the one address you want search engines to treat as a page's main version.
- Click-through rate (CTR) Click-through rate is clicks divided by impressions.
- Content clusters A content cluster is a hub page plus the pages that cover parts of its topic, linked both ways.
- Core Web Vitals Core Web Vitals are Google's three page experience metrics: LCP, INP and CLS.
- Crawling and indexing Crawling is a bot fetching your pages; indexing is a search engine storing them to show later.
- Domain authority Domain authority is a third-party score estimating how strong a site's links are.
- E-A-T and E-E-A-T E-E-A-T is Google's framework of experience, expertise, authoritativeness and trust for judging content.
- Entity SEO Entity SEO makes sure search engines and AI models know exactly which real-world thing your brand is.
- Featured snippets A featured snippet is a quoted answer from one page shown above Google's results.
- Google Search Console Google Search Console is Google's free tool for site owners: clicks, impressions, indexing and AI Overview impressions.
- Internal linking Internal links connect pages on one site so crawlers can find them and anchor text can say what they are about.
All 28 termsShow the first 12
- Knowledge graph A knowledge graph stores entities and the typed links between them, so a machine can tell your company from a word or a drug that shares its name.
- Knowledge panel A knowledge panel is the box Google generates for an entity in its Knowledge Graph.
- Local SEO Local SEO makes a business show up for place-based searches.
- Long-tail keywords Long-tail keywords are specific searches that are rare one by one but make up most demand.
- Robots.txt Robots.txt is the file that tells crawlers what they may fetch.
- Schema markup Schema markup is structured data, usually JSON-LD, that labels what a page is about.
- Search intent Search intent is what someone wants to get done with a query.
- Semantic search Semantic search matches a query by what it means, not its exact words.
- SEO (search engine optimization) SEO is the work of helping search engines understand your pages and people find them.
- SERP (search engine results page) A SERP is the page a search engine shows for a query: links, ads, snippets and AI summaries.
- SERP features SERP features are the results that are not plain blue links: AI Overviews, featured snippets, People also ask, videos, maps.
- Video SEO Video SEO makes videos findable in search and AI answers by describing them in text machines read.
- Voice search Voice search is asking a question out loud and hearing one spoken answer.
- XML sitemaps An XML sitemap lists the URLs you want crawlers to find, with an honest last-modified date.
- YMYL (Your Money or Your Life) YMYL is Google's label for topics that can affect health, money, safety or society, where the bar for accuracy is highest.
- Zero-click search Zero-click search is a search that ends without a visit to any website.
Technical5 terms
- IndexNow IndexNow is a push protocol that tells Bing, Yandex, Naver, Seznam and Yep a URL changed.
- Interaction to Next Paint (INP) INP is the Core Web Vital for responsiveness: its 200 ms and 500 ms thresholds, the three delays it splits into, and why AI crawlers never trigger it.
- llms.txt llms.txt is a proposed Markdown file at a site's root that gives AI agents a curated map of its pages.
- Pay per crawl Pay per crawl is Cloudflare's way to charge AI crawlers per request with HTTP 402.
- X-Robots-Tag X-Robots-Tag is the HTTP header that carries indexing rules for any file, including PDFs.
Measurement4 terms
- Prompt volume Prompt volume is an estimate of how often people ask a question in an AI assistant.
- Reference rate Reference rate: how often AI answers name or link a brand, why it blends two different events, and why Attensira reports mentions and citations apart.
- Share of voice Share of voice in AI answers: the share of answers that name your brand, why the rates of rival brands never add up to 100%, and how to read one honestly.
- Source citation A source citation is a link an AI answer attaches to the page it drew on.
What else do people ask?
How is the glossary different from the guides?
Where do the examples on glossary pages come from?
Who writes the glossary?
Are GEO, AEO and AI SEO the same thing?
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