The words behind the work.
Plain definitions for the terms around AI visibility, with notes on where they overlap and where they don’t.
A
AEO
Answer engine optimization — work aimed at being the source of direct answers.
The term overlaps heavily with GEO and with parts of traditional SEO such as featured snippets. It is not a separate technical switch.
See also: GEO
AI Overviews
Google's AI-generated summaries shown on some search results pages.
AI Overviews draw on Google Search systems. Controls for Search eligibility and snippets apply; no special markup is required. Citeroot does not collect AI Overviews today; it collects from ChatGPT, Claude, Gemini and Perplexity.
See also: Answer engine
AI visibility
The observable presence of a brand or site across a defined set of AI answers.
AI visibility is measured, not assumed: it depends on which questions you ask, which engines you collect from, where and when. A claim of visibility without those details is incomplete.
See also: Mention, Citation, Share of voice
Answer capsule
A short, self-contained paragraph that answers a question directly.
Placed near the top of a page, an answer capsule states the answer, any key condition and the scope in a couple of sentences, so it can be quoted without surrounding context.
See also: GEO
C
Citation
A link or reference to a source within an AI answer.
A citation can exist without a brand mention and vice versa. Citeroot reports them separately, with their own rates.
See also: Mention, Source map
Corroboration
Independent sources repeating or confirming a claim about you.
A claim that appears only on your own website is weaker evidence than one repeated by independent sources.
See also: Citation
Crawler (search, training, user)
AI-related bots differ by purpose: building a search index, collecting training data, or fetching a page for a user.
A robots.txt policy can treat each purpose differently. Blocking a training crawler does not necessarily block a search crawler, and vice versa.
See also: robots.txt
G
GEO
Generative engine optimization — improving how a business and its content appear in AI-generated answers.
The term was popularised by a 2023 research paper presented at KDD 2024. It overlaps with SEO and AEO and is not a guarantee of any placement.
See also: AEO, AI visibility
Grounding
Supplying a model with retrieved sources so its answer reflects them.
Grounded answers can cite their sources. Ungrounded answers rely on what the model learned in training.
See also: Citation
L
llms.txt
A proposed convention for a plain-text site summary aimed at language models.
It is not a standard that all engines honour, and no major search provider requires it. Treat it as optional documentation, not a ranking lever.
See also: robots.txt
M
Mention
Your brand named in the text of an answer.
A mention doesn't require a link. Mention rate is the share of valid answers that name the brand.
See also: Citation, Recommendation rate
P
Prompt panel
The fixed set of questions you track over time.
A good panel covers the buying journey, mixes branded and non-branded questions and changes rarely, so results stay comparable.
See also: AI visibility
R
Recommendation rate
The share of answers that explicitly recommend a brand for the use case in the prompt.
Recommendations are a stronger signal than mentions and are tracked with their own denominator.
See also: Mention
Retrieval
The step where a system selects documents to use when composing an answer.
Being crawlable does not guarantee being retrieved, and being retrieved does not guarantee being cited.
See also: Grounding
robots.txt
A file that tells crawlers which paths they may fetch.
Each user agent can be allowed or blocked separately. It is advisory for well-behaved bots, not an access-control system.
See also: Crawler (search, training, user)
S
Source map
A view of which domains and pages are cited across a set of answers.
Source maps reveal which publishers influence a category and where competitors are cited but you are not.
See also: Citation, Corroboration
Structured data
Machine-readable markup (often JSON-LD) that describes a page's content.
It can help systems understand entities and facts on a page. It is not a guarantee of selection for any feature.
See also: Retrieval
V
Variance
Run-to-run difference in answers to the same prompt.
AI answers are non-deterministic. Repeated runs let you tell a real change from noise.
See also: Prompt panel
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