Issue 02 of AI Visibility Weekly. 36.7% of AI citations in the Korean credit-card vertical are 'curation' content: comparison tables and 'best card by X' listicles. That is more than 2x the all-industry curation share of 15.2%, and Cards sits 17 points clear of any other industry on curation share.
Issue 02 of AI Visibility Weekly. 36.7% of AI citations in the Korean credit-card vertical are 'curation' content: comparison tables and 'best card by X' listicles. That is more than 2x the all-industry curation share of 15.2%, and Cards sits 17 points clear of any other industry on curation share.
Issue 02 of AI Visibility Weekly. 36.7% of AI citations in the Korean credit-card vertical are 'curation' content: comparison tables and 'best card by X' listicles. That is more than 2x the all-industry curation share of 15.2%, and Cards sits 17 points clear of any other industry on curation share.
Issue 02 of AI Visibility Weekly. 36.7% of AI citations in the Korean credit-card vertical are 'curation' content: comparison tables and 'best card by X' listicles. That is more than 2x the all-industry curation share of 15.2%, and Cards sits 17 points clear of any other industry on curation share.
Most credit-card marketing teams in Korea call their work on the issuer's own website "AI visibility." But the single largest input into how AI talks about Korean credit cards is not the issuer's domain. It is a comparison listicle written by someone else.
Across the 10 industries we track in week W18, the credit-card vertical produced 4,526 individual citations. 36.7% of them (1,661 citations) pointed to "curation" content: comparison tables, "best card by X" rankings, and round-ups that compare or rank multiple cards in a single article. That is more than 2× the all-industry curation share of 15.2%, and more than 17 points clear of every other industry in our index. The next-closest category, Home Appliances, sits at 19.8%.
This is the editorial finding of Issue 02. It is also a budget question for any card issuer whose AI-visibility plan is still effectively a website-SEO plan in a new outfit.
Every week, we run a fixed set of consumer-style prompts through the three AI surfaces Korean consumers actually use: Google AI Overviews (AIO), Naver AI Briefing (AIB), and ChatGPT. These are the kinds of questions a real customer might ask before applying for a card. For each response, we record which brand was mentioned, which URL the AI surfaced as a source, what type of domain that URL belongs to (issuer site, external blog, news, eCommerce, video, and so on), and, independently, what type of content the page itself is (curation, tutorial, news, product detail, homepage, etc.).
One classification note worth flagging up front: in Korea's card vertical, third-party comparison aggregators like Banksalad and Card Gorilla are tagged as "official brand site" for the comparison brand itself, not as external blogs. That choice lifts the "official" share inside cards, but does not change the pattern below, which is about content type, not domain.
The 4,526 card citations from W18, broken down by domain type:
| Domain type | Citations | Share |
|---|---|---|
| External blog | 1,788 | 39.5% |
| Official brand site | 1,198 | 26.5% |
| eCommerce | 387 | 8.6% |
| News | 287 | 6.3% |
| Video (YouTube) | 215 | 4.8% |
| Forum / Q&A | 106 | 2.3% |
| Brand-owned blog | 78 | 1.7% |
| Social · wiki · other | 53 | 1.2% |
External blog leading is familiar. Issue 01 reported that external blog is the #1 domain type in all 10 industries we track. What is different about cards is the second line. The card-issuer's own domain accounts for 26.5% of all citations in this vertical, roughly 2× the all-industry official-site share of 12.9%. The issuer sites at shinhancard.com, kbcard.com, and samsungcard.com show up as citation sources more often than the issuer sites of any other industry's anchor brands.
Issuer SEO is therefore not wasted work in cards. But when we reclassify the same 4,526 citations not by where the page lives but by what kind of article it is, the pattern in cards diverges from every other industry we cover.
Run the same citations through a content-type lens, and the #1 source in cards is no longer "external blog." It is "curation."
| Content type | Citations | Share |
|---|---|---|
| Curation (comparison & rankings) | 1,661 | 36.7% |
| Others | 595 | 13.1% |
| Tutorial / how-to | 328 | 7.2% |
| News | 266 | 5.9% |
| PDP (product detail) | 258 | 5.7% |
| PLP (product list) | 190 | 4.2% |
| Review | 107 | 2.4% |
| Forum / analysis / other | 314 | 6.9% |
36.7% is a large number on its own. Ranked against the same metric across all 10 industries, it becomes clear how far cards sits from everyone else.
| Industry | Curation share |
|---|---|
| Credit Card Issuers (카드사) | 36.7% |
| Home Appliances (가전) | 19.8% |
| Automotive (자동차) | 19.2% |
| Women's Fashion Malls (여자쇼핑몰) | 17.3% |
| Men's Fashion Malls (남자쇼핑몰) | 17.0% |
| Telecom (통신) | 16.0% |
| Securities (증권) | 11.8% |
| Non-Life Insurance (손해보험) | 7.3% |
| Life Insurance (생명보험) | 5.5% |
| Pharmaceuticals (제약) | 3.4% |
The next-most curation-heavy categories cluster between 17 and 20 points: Home Appliances (19.8%), Automotive (19.2%), Women's Fashion (17.3%), Men's Fashion (17.0%). Cards sits a clear tier above at 36.7%. The gap is not a quirk of intensity. It is a structural difference in how AI assembles answers about the card vertical. In cards, AI relies on the "compare and rank" format at a frequency unlike any other industry we track.
The implication is direct. In AI responses about Korean credit cards, the largest single input into "which card is recommended" is not the issuer's own content. It is whichever "best card" listicle the AI happens to read, and where the issuer's card lands inside that listicle's ranking.
Three implications follow directly from the W18 numbers for cards.
"AI visibility" is not "issuer SEO." The issuer's own domain accounts for at most 26.5% of card-vertical AI visibility this week. The remaining 73.5% is content the issuer does not directly publish, and the largest single bucket inside that (36.7%) is defined not by where the content lives but by what shape it has: a comparison or ranking listicle. The fact that issuer sites are cited at twice the all-industry average does not mean SEO is wasted here. It means SEO is one layer, and curation citations sit on top of it.
Which card gets named in the "best of" listicle is the largest swing factor. Shinhan Card looks like a brand for whom the curation environment is favourable: named in 63% of AI responses with the highest own-domain citation share among issuers at 13%. KB Kookmin Card (41% / 8%) and Hyundai Card (38% / 9%, up +3pp from W17) sit in the same favourable cluster. Samsung Card is the opposite: named in 49% of AI responses but cited via its own domain in only 1%. AI knows Samsung Card exists, but the sources it cites when talking about Samsung Card almost never belong to Samsung Card. Between Shinhan and Samsung, the larger swing factor is not website SEO. It is which issuer the curation listicles rank first.
In cards, AI-visibility work looks more like distribution and rating-context management than marketing. Which card a comparison publisher places at #1 is not a PR-adjacent question for the marketing team; it is a negotiated variable owned by product and partnership teams. A 36.7% citation share for the curation bucket suggests the marketing organization alone cannot be held responsible for the issuer's AI visibility.
AI Visibility Weekly ships every Monday. We refresh AI-visibility data for 93 Korean enterprise brands across 10 industries (roughly 600 prompts and 45,000 citations per week) and pull out the single most meaningful shift in the data. Issue 01 covered the all-industry source-mix finding. Issue 02 covers the single-industry content-format outlier. From next week, as the W17→W18 mover data accumulates, we will feature the brand that moved most in mention or citation rate from one week to the next.
The newsletter is the digest; the blog is the analysis. Both are free, both ship every Monday, and both run alongside the public Enterprise AI Visibility Index so you can find your own brand at any time.
For Issue 02, the question to take into the week is direct. If 36.7% of AI responses about your card cite a comparison listicle, where on that listicle does your card actually appear, and who is in the room when that ranking is set?
Because real consumer prompts about cards ("which credit card has the lowest annual fee?") are most directly answered by curated comparison content. AI surfaces read those listicles as the literal answer to the question type they receive. That is why 36.7% of card citations in W18 are curation content, vs 15.2% across all 10 industries we track.
No. Card-issuer Official sites get 26.5% of all citations in this vertical, twice the 12.9% all-industry average. Issuer SEO is a real layer of AI visibility in cards; it just isn't the top layer. Comparison listicles sit on top of it.
Shinhan Card, named in 63% of AI responses, with the highest issuer-domain citation share among issuers at 13%. KB Kookmin Card (41% mention / 8% citation) and Hyundai Card (38% / 9%, up +3pp from W17) follow.
Three: Google AI Overviews (AIO), Naver AI Briefing (AIB), and ChatGPT. We run a fixed set of consumer-style prompts through all three every week and classify the URLs each surface returns by both domain type and content type.
Every Monday. The data covers 93 Korean enterprise brands across 10 industries (roughly 600 prompts and ~45,000 citations per week). The latest snapshot covers W17 → W18.
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