62% of Gemini Answers Came Without a Web Search — Korean SaaS Benchmark, October 2026

Key takeaway: When RanketAI measured 12 Korean B2B SaaS companies with ChatGPT, Gemini and Perplexity three times on October 16, 2026, all three services mentioned 83% of the brands, but own-domain citation rates were 83% for ChatGPT, 67% for Perplexity and 33% for Gemini. Matching each answer against whether a web search actually ran showed that every ChatGPT and Perplexity answer went through a search, while only 38% of Gemini answers did. An answer produced without a search has no source list, so your site cannot be cited in it. Looking only at the Gemini answers that did search, the own-domain citation rate was 52%. When Gemini does not cite your site, check whether that answer ran a web search before you change the site.

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Three-line summary

• In this measurement, 62% of Gemini answers came without a web search, and none of those answers had a source list. Every ChatGPT and Perplexity answer ran a web search.
• In the Gemini answers that did search, the own-domain citation rate was 52%, higher than Perplexity on a per-answer basis (37%). Most of Gemini's low citation rate came from answers in which no search ran.
• The sites of the 6 companies for which Gemini searched least were cited in 96% of ChatGPT answers. That figure would be hard to reach if those sites could not be read by AI.

Mention rates were identical; own-domain citation differed 2.5×

In the October 2026 benchmark, ChatGPT, Gemini and Perplexity all mentioned 83% of brands, but own-domain citation was 83% for ChatGPT and 33% for Gemini — a 2.5× gap.

In the October 2026 Korean SaaS AI Visibility Benchmark, RanketAI measured the same 12 companies as the July issue in three rounds on the same day. The measurement engine was revised after the August issue, so this issue is a new baseline and is not compared with figures through August.

Service	Brand mention rate	Own-domain citation rate
ChatGPT	83%	83%
Perplexity	83%	67%
Gemini	83%	33%

The report figures are judged once per company. The own-domain citation rate counts a company as cited if at least one answer about it presented the company's own domain as a source. The report did not explain why the gap appeared. This post re-aggregates the measurement records answer by answer to find the cause.

62% of Gemini answers came without a web search

Matching every answer against its web-search record showed that all ChatGPT and Perplexity answers ran a search, while only 38% of Gemini answers did.

The measurement records note, for each answer, whether a web search actually ran. We matched every answer from the three rounds against that record. All rates in the table below are per answer.

Service	Answers that ran a web search	Answers with a source list	Answers citing the own domain
ChatGPT	100%	100%	82%
Perplexity	100%	100%	37%
Gemini	38%	38%	19%

For Gemini, the share of answers with a source list was exactly the share of answers that ran a search. Answers without a search had no sources at all. Google's own help page for Gemini Apps says the same.

"Not all responses include related links or sources. If you don't have the Sources button below a response, Gemini Apps didn't provide any links for that particular response." — Google, Gemini Apps Help

Gemini's search rate was similar across rounds: 42%, 35% and 35%. Even when the same questions were repeated on the same day, more than half of the answers came without a search.

Grouping by company and round makes the gap clearer. In 36% of the 12 companies × 3 rounds, every Gemini answer in that round came without a search. In those cases the own domain could not be cited no matter what state the site was in.

In searched answers, Gemini cited the own domain 52% of the time

In the Gemini answers that ran a web search, 52% presented the own domain as a source — higher than Perplexity's per-answer 37%.

Gemini answers	Brand mentioned	Own domain cited
Ran a web search	98%	52%
No web search	79%	0%

Gemini's low own-domain citation rate was driven not by its citation rate in searched answers but by the share of answers in which no search ran. Among answers that did search, Gemini presented the own domain as a source more often than Perplexity.

An industry report points in the same direction. Yext analyzed more than 6.8 million citations from ChatGPT, Gemini and Perplexity and reported that "52.15% of Gemini citations came from brand-owned websites" (Yext, 2025-10-29). That figure is the share of all citations that point to brand sites, while our 52% is the share of answers that cite the measured brand's own domain, so the units differ. The similar numbers should not be read as the same phenomenon. It is a single study by a commercial vendor, and its examples focus on healthcare, food and hospitality, so it does not transfer directly to B2B SaaS.

Sites Gemini rarely searched for were being cited by other AI services

Even for companies Gemini rarely searched for, ChatGPT cited the own site in 96% of answers, so Gemini's low rate is hard to blame on the sites.

Aggregating Gemini's search rate per company produced two groups. Four of the 12 companies had a search in 75% or more of their answers; the other 8 had 25% or less. No company fell in between. Two of the 8 are grade-D companies that were barely mentioned by any AI, so they are excluded from the comparison below. All rates are per answer.

Group	Gemini web-search rate	ChatGPT own-domain citation	Perplexity own-domain citation	Gemini own-domain citation
4 companies Gemini searched for often	85%	100%	48%	48%
6 companies Gemini searched for rarely	17%	96%	42%	7%

The 6 rarely searched companies were cited by ChatGPT and Perplexity at levels similar to the 4 frequently searched ones. Gemini was the only service where the two groups differed sharply, and the gap ran in the same direction as the gap in search rates. Even for the 6 rarely searched companies, Gemini cited the own domain in 42% of the answers that did search. That figure rests on only a few searched answers, so read the direction, not the size.

Why the search rate differed by company could not be determined from this data. The 12 companies are in different sub-verticals, so the question topic may play a role, but a sample of 12 cannot separate the effect of the vertical from the effect of the brand.

Brands were mentioned without a search, but described as of training time

Well-known brands were all mentioned even in Gemini answers without a search, but those answers sometimes presented a discontinued service as if it were still available.

In the earlier table, the mention rate for answers without a search (79%) was lower than for searched answers (98%) only because of the two grade-D companies. Excluding them, both rates were 100%. In this sample, whether a search ran did not change whether a brand was mentioned. A brand the model already learned can appear in an answer without any search.

The problem is the timing of the content. For questions in one vertical, Gemini presented a Korean service that shut down in June 2025 as an option users can choose today. The same description repeated in all three rounds, and all but one of those answers came without a web search. ChatGPT and Perplexity answers to the same questions never mentioned that service.

This structure is harder on new brands. An answer without a search is built only from what the model learned, so a brand that appeared after training has no way into it. RanketAI recorded in the June 2026 issue that its May 2026 measurement ran ChatGPT and Gemini without web search and that new brands were structurally invisible under that condition. This sample is weighted toward well-known brands, so it could not measure the effect directly. The gap in appearance rates by brand size is covered in our brand-tier analysis.

Each AI drew searched answers from a different type of site

The top sources of searched answers were product websites for ChatGPT, comparison/catalog sites plus blogs and media for Perplexity, and product websites plus blogs for Gemini.

We aggregated the sources of searched answers across the three rounds by host (excluding the 12 sample domains) and classified the hosts ranked in the top 10 by citation count (ties included) from the cited page URLs. The numbers in the table are host counts.

Source type	ChatGPT (12)	Perplexity (10)	Gemini (12)
Other product vendors' websites	12	2	6
SaaS comparison or catalog sites	0	4	1
Blog platforms and blogs	0	2	2
News and IT media	0	2	1
Wiki	0	0	1
Unconfirmed	0	0	1

ChatGPT answers often attached each product's official page next to that product in a comparison table or list. Its high per-answer own-domain citation rate (82%) appears to come from the same format. Perplexity mostly cited SaaS comparison and catalog sites that summarize many products on one page, along with blogs and IT media. Among the product websites in Gemini's top sources were comparison pages and comparison blog posts that other vendors published on their own sites. If you do not publish comparison information yourself, another company's comparison page can become the source that describes your brand.

The top cited sources published in the report (Naver Blog, Tistory, Namuwiki, comparison sites, competing products' official pages and others) combine ChatGPT, Gemini and Perplexity. Split by service as in this table, the type of site to check first differs from service to service.

In practice: what to check when Gemini does not cite your site

If Gemini does not cite your site, check whether that answer ran a web search before you change anything on the site.

1. Check whether a search ran. In RanketAI's AI brand visibility analysis, the "Brand mention × Source citation analysis" card under "Grade breakdown" on the results screen shows how many answers came without a web search and which AI services they came from. Those answers have no source list, so changing your site cannot get you cited in them.
2. Compare with other AI services on the same questions. If ChatGPT or Perplexity cites your own domain, your site is in a state AI can read and cite. In that case, Gemini's result is more likely driven by whether a search ran than by the site. If none of the three services cites you, check the site first.
3. For searched answers that still did not cite you, check the source list. Classify the sites that answer cited: other vendors' websites, comparison or catalog sites, or blogs. As the table above shows, each service leans on a different type.
4. Put comparison information on your official pages. A page that lays out features, pricing and target customers on the same basis as competing products is the kind of page that can be cited in answers that attach an official page to each product, as ChatGPT's do. This is not a guaranteed fix, so confirm it by measuring.
5. Work on third-party sites by how accessible they are. Sort the sources you find into three groups — publishable yourself (Naver Blog, Tistory, Brunch and similar), press or contributed articles (IT and industry media), and structurally closed (competing vendors' sites) — and proceed through identify → classify → execute → re-measure. The criteria and examples are in our source-gap analysis. You can find sources that cite only competitors by measuring the same questions side by side with competitor comparison.
6. Re-measure under the same conditions. Even on the same day, Gemini runs a search for some answers and not for others, so do not judge from a single result. How many repetitions you need is covered in our measurement statistics post.

Conditions for reading this data

This is one day of measurement on 12 well-known Korean B2B SaaS companies, so read the direction of the rates rather than their size.

1. The sample is small and weighted toward well-known brands. One company equals 8.3% of the sample, and 10 of the 12 are grade A. Results may differ for new or small brands.
2. Three same-day rounds are not independent observations. No statistical significance test was run.
3. The unit differs from the report. The report judges each company once; the per-answer figures in this post aggregate every answer across the three rounds. The number of prompts is not disclosed.
4. This reflects AI behavior at measurement time. If a service changes its model or search behavior, the search rate can change too. The measurement engine was revised after the August issue, so these figures are not compared with issues through August.
5. Source-type classification covers only the top hosts. Hosts were classified by hand from the cited page URLs, and one host whose nature could not be confirmed is left as unconfirmed.

FAQ

Related reading

• AI Mentions the Brands It Mentioned Before — A 35K-Observation Study and Korean SaaS Data — four states for tracking mention and own-domain citation as separate metrics.
• AI Picks Its Shortlist Before It Searches — 72 Queries Across 12 Korean Categories — the search queries AI generates when a search runs.
• The Source Gap — Finding the Third-Party Sites That Cite Only Your Competitors — how to classify and act on third-party sources.
• What Does a GEO Score Measure? Prompts, Models, and Judges Change the Number — how measurement models and run conditions change scores.
• Brand Tier Decides How Often AI Names You — 73%, 44%, 11% — the conditions that make answers without a search harder on new and small brands.