A term you use but never define forces an AI system to guess your meaning — a one-sentence definition at first use removes the guesswork about what you mean.
By Christopher Foster-McBride, Founder, AI Knowledge Signal · Reviewed 2026-10-13
Why it matters
AI systems build an internal representation of your content by resolving the terms in it. When you use a specialised or proprietary term without defining it — "GEO", "Corpus Survival Likelihood", "AI Overview" — the model falls back on whatever it already associates with that string, which may be wrong, generic, or someone else's definition. Your meaning gets diluted in any answer that draws on the page.
A short, standalone definition at first use fixes this. It also makes the page citable as a reference for that term (Phase 3.1) and protects original terminology you want associated with your brand rather than a competitor's.
What good looks like
Every term that carries weight is defined, once, the first time it appears — cleanly enough to quote:
Each key term is defined before its first substantive use.
Definitions are one or two sentences, complete, and non-circular (they don't use the term to define itself).
Each definition is standalone — it reads correctly lifted out of the page.
Original or proprietary terms are explicitly labelled as yours.
The term is then used consistently, never swapped for loose synonyms.
Step by step
List the terms that carry meaning
Identify the specialised, ambiguous, or proprietary terms on the page — acronyms (GEO, AEO, AIO), domain jargon, and any framework names you've coined. These are the ones a model can't safely assume.
Define each before first substantive use
Place the definition at, or just before, the term's first real appearance. Don't make the reader (or the model) reach a glossary at the bottom — the definition should be present where the term is first applied.
Write standalone, non-circular definitions
One or two complete sentences. Don't define a term with itself ("AI Optimisation is the optimisation of AI") and don't lean on another undefined term. Aim for something a stranger could quote and understand.
Label original or proprietary terms explicitly
For anything you've coined, claim it: "We use the term 'Corpus Survival Likelihood' to describe the probability that content survives AI training-data quality filters before a model is trained." Explicit labelling ties the term to you.
Use the term consistently thereafter
Once defined, use the exact term every time — don't drift between "AI search", "generative search", and "answer engines" for the same concept. Consistency reinforces the entity (Phase 5.2).
Make definitions machine-readable (optional)
On a glossary or reference page, mark each definition up as a DefinedTerm inside a DefinedTermSet. The markup must repeat the visible definition exactly.
{
"@context": "https://schema.org",
"@type": "DefinedTerm",
"name": "Corpus Survival Likelihood",
"description": "The probability that content survives AI training-data quality filters before a model is trained.",
"inDefinedTermSet": "https://example.com/glossary"
}
Worked examples
1 Before / after: vague mention vs. definition
The same first uses, rewritten as standalone definitions a model can embed and quote.
Before (weak)
After (defined)
"We help with AI search."
"AI Search refers to systems like ChatGPT, Gemini, and Perplexity that generate answers by synthesising information from multiple sources."
"We do AI optimisation."
"AI Optimisation refers to improving how content is interpreted, selected, and cited by AI systems."
"LLMs are important."
"Large Language Models (LLMs) are AI systems trained on vast datasets to generate human-like responses."
"Schema helps SEO."
"Schema markup is structured data that helps machines understand the entities and relationships on a page."
2 Claiming a proprietary term
When you introduce a term that is your own intellectual property, label it as such so AI systems attribute it to you, not to a generic source.
We use the term "Epistemic Presence Strategy" to describe a
publishing approach that prioritises being represented
accurately inside AI-generated answers over ranking in a
list of links. Unlike traditional SEO, it optimises for
selection and citation by language models rather than for
click-through from a results page.
Common mistakes
Mistake
Fix
Using an acronym before expanding it
Expand and define at first use: "AI Overview (AIO) — Google's generative answer summaries…".
Circular definitions
Define with independent words, never the term itself.
Definitions buried in a footer glossary
Define at first use, where the term is applied.
Rewritten Wikipedia definition
Write a custom definition aligned to your framework (also a Phase 3.4 originality issue).
Drifting synonyms for one concept
Pick one term and use it consistently throughout.
Limits of this advice
No study measures a citation effect from definitions specifically; the case rests on clarity and on reducing misattribution.
Labelling a term as yours signals ownership; it does not guarantee AI systems will attribute it to you.
Checklist
Every specialised/proprietary term on the page is identified
Each is defined before its first substantive use
Definitions are 1–2 sentences, complete, and non-circular
Each definition reads correctly in isolation
Original terms are explicitly labelled as yours
Terms are used consistently, with no drifting synonyms