Reference6 min read
GEO and AI search glossary
The vocabulary of generative engine optimization borrows from search, from information retrieval and from machine learning, which makes it easy to talk past each other. These are the terms EGNITE uses, defined the way we use them in reports.
Key takeaways
- Citation share is the closest GEO equivalent to a ranking.
- Extractability describes whether a passage can be lifted verbatim.
- Grounding is why some engines cite sources and others do not.
Terms
- Generative Engine Optimization (GEO)
- The practice of structuring content, data and entity signals so generative AI engines can read, trust and cite a company inside the answers they generate.
- Answer engine
- A system that returns a synthesised answer rather than a list of links — ChatGPT, Perplexity, Gemini, Claude, Copilot, DeepSeek and Google's AI answers.
- Citation share
- The percentage of tracked answers, for a fixed prompt set, in which a given company is named. The nearest GEO equivalent of a keyword ranking.
- Answer position
- Where a company appears within a generated answer. Being named first carries materially more weight than being named last.
- Prompt set
- The fixed list of buyer questions tracked over time. Stability of the set is what makes trends comparable week to week.
- Extractability
- Whether a passage states a complete, self-contained fact that a model can quote without reformulation. Values with units and conditions are extractable; adjectives are not.
- Entity clarity
- How unambiguously a page identifies the organisation, product or standard it describes, and how consistently that identity matches other sources.
- Grounding
- Tying a generated statement to a retrieved source. Grounded answers cite; ungrounded answers assert from model memory.
- Retrieval-augmented generation (RAG)
- The pattern where an engine retrieves documents first and writes the answer from them. It is the mechanism that makes citations possible.
- AI Overviews
- Google's generated summary shown above traditional results, drawing on indexed pages and reducing clicks to the sources beneath it.
- Structured data (JSON-LD)
- Machine-readable statements of fact embedded in a page — Organization, Product, TechArticle, FAQPage, Dataset, BreadcrumbList — that remove ambiguity for both search and answer engines.
- Corroboration
- Independent sources repeating a claim. It raises a model's confidence and is the strongest durable driver of being named.
- Source authority
- The standing of the documents an engine cited to justify an answer. Knowing them tells you which publications to earn a presence on.
- Competitor segmentation
- Classifying discovered competitors by company type — producer, compounder, additive supplier, OEM, distributor, trader, EPC contractor — so gap analysis compares like with like.
- GEO score
- EGNITE's 0–100 page score across structured data, entity clarity, citation signals, content authority and crawlability, with evidence behind every deduction.
- Fix queue
- The ordered list of page-level corrections produced by a scan, sorted by expected impact per unit of effort.
- Expert verification
- Human review of an AI-generated rewrite by an EGNITE specialist, returned corrected within 48 hours so technical and regulatory accuracy is preserved.
- Post-Quantum Cryptography (PQC)
- Encryption designed to withstand quantum attack, standardised by NIST as FIPS 203, 204 and 205. Relevant to industrial firms whose encrypted data is being harvested now to decrypt later.
Frequently asked questions
Is GEO the same as AEO or LLMO?
Broadly yes. Answer Engine Optimization (AEO) and LLM Optimization (LLMO) describe the same discipline; GEO is the term used most consistently in research and industry writing.
See where you stand in AI answers
Run a free GEO scan: a 0–100 score across five dimensions, page-level evidence and a prioritized fix queue. No card required.
Keep reading
What is GEO?
Generative Engine Optimization (GEO) is the practice of making your company visible, quotable and cited inside AI answers from ChatGPT, Perplexity, Gemini and Claude. Here is how it works.
GEO vs SEO
A practical comparison of Generative Engine Optimization and SEO — what carries over, what breaks, and how to measure each. Written for B2B teams running both.
How engines pick citations
Retrieval, extractability, entity clarity and corroboration decide which companies appear in an AI answer. A practical breakdown of each signal and how to strengthen it.
Last updated 8 September 2026 · Written by the EGNITE GEO team.