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Glossary

Zero-Click Search

What is Zero-Click Search?

A zero-click search occurs when users get their answer directly on the results page, for example through featured answer boxes or AI-generated summaries, and no longer click through to a website. For businesses this reduces traffic even when their content serves as the source. Being visible as a cited source therefore becomes more important: with clear answers, supported facts and well-structured pages.

How KI.ordo helps

The KI.ordo template “Check website for AI search (GEO)” reads a page and suggests prioritised improvements for visibility in AI answers.

Learn more →: Zero-Click Search

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Topics

  • SEO
  • GEO
  • Search

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Related terms

Generative engine optimisation (GEO)

Generative engine optimisation (GEO) covers measures that help content become visible in, and be cited as a source by, AI-powered search systems such as ChatGPT, Perplexity or the AI overviews in search engines. The term comes from a 2023 research paper. Key factors include clear, directly quotable answers, a clean structure, evidenced facts, up-to-date information and identifiable authors. GEO complements classic search engine optimisation (SEO) rather than replacing it.

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SEO score

An SEO score is a metric that analysis tools use to rate how well a web page is optimised for search engines – usually on a scale from 0 to 100. Factors may include titles and descriptions, heading structure, loading speed, mobile-friendliness, internal links and structured data. Every tool calculates the score differently; it is not an official Google rating. The score is therefore useful as a checklist for improvements, not as a guarantee of good rankings.

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AI Search

AI search refers to search methods that use AI to grasp the intent behind a query, weight results and often generate a summarised answer with sources rather than a plain list of links. Technically, they use keyword search, vector search over embeddings or a combination, frequently followed by a language model. Examples include answer engines on the web and internal knowledge search that helps staff find what they need in manuals and policies.

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llms.txt

llms.txt is a Markdown text file placed in a website’s root directory that gives language models a concise overview of the most important content, with links. The idea was put forward by Jeremy Howard (Answer.AI) in September 2024. It is a proposal rather than an official standard; major AI providers have not committed to reading it (as of October 2026). It complements robots.txt and the sitemap but does not replace them.

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