Glossary
Every acronym, framework, and concept SEO for AI Agents checks for - defined precisely.
Google's LLM-generated answer summaries shown above organic results.
The practice of optimising content for direct-answer engines including voice assistants, AI chat, and featured snippets.
References to a brand name on other sites, with or without a hyperlink.
A link rel canonical element telling search engines which URL is the preferred version of duplicate or near-duplicate content.
Tying every factual claim in AI output to a verifiable source.
Anthropic crawler for Claude.
How much the page jumps around as it loads. Should be under 0.1.
How recently a page was published or substantively updated, signalled to engines via dateModified and on-page date stamps.
Google's page-experience metrics: LCP, INP, CLS.
Experience, Expertise, Authoritativeness, Trustworthiness — Google's quality framework.
The practice of optimising for how search engines and LLMs understand the entities your content is about, rather than for keywords alone.
Schema.org markup that describes a list of question-and-answer pairs.
Optimizing for citation by LLMs (ChatGPT, Perplexity, Claude, AI Overviews).
OpenAI training crawler. Separate from OAI-SearchBot.
HTML attribute telling search engines which language/region a page targets.
How quickly the page responds to a user interaction. Should be under 200ms.
Links between pages on the same site, used to distribute crawl budget, ranking signals, and topical context.
The recommended format for embedding Schema.org structured data.
Time until the largest visible element renders. Should be under 2.5s.
A proposed Markdown standard for telling LLMs which URLs matter.
OpenAI retrieval crawler. Powers live citations in ChatGPT search.
Schema.org markup that identifies the organisation operating a website.
Perplexity retrieval crawler.
Generating many similar pages from a structured dataset to target a long-tail set of queries.
Structured data vocabulary that helps search engines and LLMs understand your content.
Machine-readable metadata embedded in a page, typically via JSON-LD, that describes its content using a shared vocabulary.
A pillar page covering a broad topic, linked to and from many sub-topic pages covering narrow questions.
How long after a request the first byte of the response arrives.