AI search glossary
AI-search terms often describe different layers of a system. Crawling retrieves a page; indexing organizes available information; retrieval selects material for a question; generation produces an answer. A citation is an attribution in that answer, not proof of all preceding steps. Definitions are useful when they help you locate a problem, choose an appropriate check and avoid claiming more than the evidence shows.
AI-search terms often describe different layers of a system. Crawling retrieves a page; indexing organizes available information; retrieval selects material for a question; generation produces an answer. A citation is an attribution in that answer, not proof of all preceding steps. Definitions are useful when they help you locate a problem, choose an appropriate check and avoid claiming more than the evidence shows.
A plain-text file at the root of your site that tells AI models which URLs are worth reading.
guidesGoogle's AI-generated answers that appear above the classical search results.
guidesOpenAI's web crawler that gathers training data for ChatGPT models.
guidesAnswer Engine Optimization — optimizing for direct-answer surfaces like AI assistants and voice search.
guidesGenerative Engine Optimization — optimizing for citation by AI chat, search, and assistants.
guidesRetrieval-Augmented Generation — the technique behind most AI search citations.
guidesNumerical vectors that represent the meaning of text, used by AI to find semantically similar content.
guidesA structured database of entities (people, places, things) and their relationships, used by search engines to disambiguate.
guidesOptimizing for entity recognition — making sure search engines know exactly who or what your brand is.
guidesSearch powered by embedding similarity instead of keyword matching.
guidesStructured data (usually JSON-LD) that describes a page's content in a machine-readable way.
guidesSchema.org type for marking up question-and-answer content so search and AI engines can extract Q&A pairs.
guidesA file at the root of your domain that tells crawlers which paths they're allowed to fetch.
guidesAn automated bot operated by an AI company that fetches web pages for training or live answering.
guidesSearch queries spoken to voice assistants (Siri, Alexa, Google Assistant) instead of typed.
guidesMeasuring how often AI engines cite your domain in answers to target queries.
guidesSearch based on meaning rather than exact keyword matching.
guidesA schema.org property used to declare authoritative external profiles for an entity.
guidesA protocol that pings search engines (Bing, Yandex) the moment a URL is published or updated.
guidesSchema.org type for marking up step-by-step instructions.
guidesSchema.org type that identifies the entity behind a website.
guidesSchema.org property marking the parts of a page suitable for voice playback.
guidesGoogle's quality framework: Experience, Expertise, Authoritativeness, Trustworthiness.
guidesSearches that end without the user clicking through to any website.
guides
Understand the mechanism before choosing a tactic
AI-search terms often describe different layers of a system. Crawling retrieves a page; indexing organizes available information; retrieval selects material for a question; generation produces an answer. A citation is an attribution in that answer, not proof of all preceding steps. Definitions are useful when they help you locate a problem, choose an appropriate check and avoid claiming more than the evidence shows.
Common confusions that lead to the wrong fix
llms.txt is a proposed content guide, while robots.txt communicates crawl preferences. GPTBot and a search-facing crawler can have different purposes. Structured data describes visible entities and facts; it is not a hidden prompt or a guaranteed AI-ranking boost. sameAs should identify authoritative profiles of the same entity, not unrelated backlinks. A valid FAQPage or HowTo document is not a promise of a Google rich result or an AI citation.
Apply a definition to one observable example
If a response mentions your brand without linking, record a mention rather than a source citation. If a robots rule allows a crawler but the URL returns a firewall challenge, investigate access rather than rewriting an FAQ. If a schema validator reports valid JSON, inspect whether the properties describe the page truthfully; syntax validity does not establish factual accuracy. Matching the term to concrete evidence makes the next action clearer.
Keep terminology current and evidence traceable
Vendor names, crawler policies and search features change. Use primary documentation for technical details and record when you checked it. Treat third-party experiments as observations with a sample and methodology, not universal ranking rules. When a definition includes a number or performance claim, verify the original source, population and time period. If those are missing, explain the concept without inventing a benchmark.
| Check | Evidence to retain | Action |
|---|---|---|
| Crawl access | Status, response body and applicable rules | Resolve actual retrieval barriers |
| Index discovery | Sitemap URLs and available index evidence | Distinguish discovery from inclusion |
| Structured data | Visible facts and matching JSON-LD | Fix truthfulness as well as syntax |
| Citation | Saved answer with a source-linked URL | Check attribution and source relevance |
| Readiness score | Documented checks used by the tool | Treat it as a diagnostic, not a ranking |
Implementation checklist
- Identify which system layer a term describes.
- Use a concrete example to test your interpretation.
- Read the primary specification or vendor documentation.
- Avoid unsupported percentage or ranking claims.
- Separate observed results from proposed mechanisms.
A repeatable workflow
- 1Establish a baseline
Save the page URL, date, language, target market and exact questions before editing. Record what the page actually says and what each tested answer cites; a mention without a source link is not a citation.
- 2Make one coherent change
Resolve the clearest failure first, then check the published page rather than only an editor preview. Keep an implementation log so unrelated redesigns, campaigns or product changes are not mistaken for the effect of this work.
- 3Repeat and compare
Repeat the same questions and technical checks after deployment. Keep engines and measurement conditions consistent, report sample size, and inspect answer accuracy alongside citations. A single response is not a stable ranking.
Frequently asked questions
Does this guarantee an AI citation?
No. A crawlable, accurate page can still be omitted. Retrieval, source selection and generated answers vary between products and requests; these checks improve the evidence available, not guarantee placement.
How do I tell whether an improvement worked?
Compare like-for-like checks and retain the underlying evidence. Track correct brand mentions, source-linked citations and qualified referral visits separately. Do not call a technical score a traffic forecast or attribute every change to one edit.
Related hubs
Industry-specific GEO starts with a real question, not a generic page containing an industry keyword. A software buyer may need compatibility, security and pricing details; a patient may need eligibility, risks and clinician qualifications. Write the answer in the language and jurisdiction of the audience, state who it applies to, and link the source of any claim. Search accessibility, useful content and trustworthy references remain important even when the final answer appears in an AI interface.
SEO, AEO and GEO overlap. SEO includes making pages accessible, relevant and useful for search; AEO emphasizes answering the question clearly; GEO concerns visibility and accurate representation in generated answers. They are not mutually exclusive replacements. Start with the business question: do you need more qualified visits, fewer misunderstood product answers, or a clearer understanding of citations? Choose measurements that match the task rather than declaring one discipline universally superior.
llms.txt is a proposed Markdown convention for presenting a concise site overview and curated links. It is not a robots policy, licensing agreement, authentication control or universal AI indexing requirement. An H1 site name, a useful summary and organized Markdown links help readers understand the site. The proposal does not mandate a section literally called Docs or a universal 150-character summary. Adoption differs by consumer; do not claim that every major AI crawler reads it.
A search assistant can retrieve sources at answer time, use an index or answer from model knowledge without browsing. Its crawler and training controls may be separate. Test the actual feature and question you care about rather than assuming one user-agent rule controls the whole product. The engine guides here help organize that investigation; they are not claims that the vendors publish identical ranking rules.
Local AI visibility depends on accurate business facts and useful answers for the area you actually serve. A city keyword alone is not a reason to publish another page. State genuine service coverage, contact options, hours and location-specific limitations. Do not invent an office, address, local partnership, market-share statistic or citation benchmark to make a template look more substantial.
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