SearchdFree AI visibility report

Corpus

A corpus is the body of text an AI system draws on when it answers a question about a category — your own site, marketplace listings, retailer pages, review publications, forum threads and video transcripts. A brand that is absent from the corpus is unlikely to be named, however good its product is.

When an assistant answers “best Korean sunscreen for oily skin”, it is not consulting a ranked index of pages. It is drawing on the material it can retrieve and has been trained on for that category, and producing a summary of what those sources collectively say.

Seven surfaces one answer is assembled fromillustrative

  • Your siteyours to write
  • Amazon listingyours to correct
  • Retailer pagesyours to correct
  • Review round-upssomeone else's
  • Reddit threadssomeone else's
  • YouTube reviewssomeone else's
  • Korean reviewswritten, wrong language

How many you write

1/7is a page you controlThe other six decide the shortlist.
You write one of these seven. Two more you can get corrected. Four are written by other people, and an English answer is assembled almost entirely from English sources — which is why the last row matters: a decade of reviews already exists in Korean, and the answer your US buyer reads was written without any of it. Which rows apply to you is what an audit establishes. The last four rows are the work.

That material is the corpus. For a consumer category it can include:

  • The brand’s own product and specification pages
  • Marketplace listings, which may have been written by a distributor rather than the brand
  • Retailer category and product pages
  • Review publications and comparison round-ups
  • Forum threads, Reddit prominent among them in English-language markets
  • Video transcripts from review and comparison content

Two properties of the corpus are what we look at first when a brand is not being named. Presence — does the brand appear in it at all, in the language of the market. Agreement — do several independent sources state the same specification, so a model can assert it without relying on the brand’s own word.

Both are where a cross-border brand can come up short. A Korean brand can have a rich Korean-language corpus and a near-empty English one, and the assistant answering an American shopper reads only the second.

Related: entity resolution, citability, named rate.

Find out what AI says about your brand.

Send us your brand and category. We run 20 buyer questions across five engines by hand and send you the transcript within 48 hours.

Get the free reportSee how it works
What arrives
20 questions, 5 engines, every answer quoted in full
Who sends it
Snow Lee, by hand, from Seoul
Your email
Used to send the report and reply about it. Privacy.
Free report · your named rateillustrative
Buyer questionEngineNamed
best Korean sunscreen for oily skinChatGPTnot named
K-beauty sunscreen that does not pillClaudenamed
Korean skincare brands sold at UltaAI Overviewsnot named
…17 more questions, with the verbatim answer and every source cited
Three rows from what the free report looks like. Yours is built from your own category and market.