Findable Insights
How to Measure AI Search Visibility Without Trusting One Answer
A repeatable measurement method for tracking brand mentions, answer accuracy, and citations across AI search engines.
Read the source and methodWe don't just measure. We diagnose Naver too, and show you exactly what to fix.
Your brand's share of voice across 7 AI answers, diagnosed in 3 minutes.
Engines covered
These are factual selection and award references, not endorsements, sponsorships, or partnerships.
Where the team behind Findable has run marketing
Marketing work delivered by Indigo Child, the company behind Findable. These are not Findable customers.
Findable Insights
Findable Insights
A repeatable measurement method for tracking brand mentions, answer accuracy, and citations across AI search engines.
Read the source and methodSearch Visibility 101
SEO and GEO solve different visibility problems. This guide shows how to connect rankings, AI answers, content structure, and measurement.
Read the source and methodguide
Five practical content conditions that make a page easier to retrieve, understand, verify, and cite in AI answers.
Read the source and methodFrom ChatGPT · Gemini · Claude to HyperCLOVA · Naver. Compare global and Korean AI answers with one consistent measurement model.
AI agents handle measurement, analysis, and recommendations on their own. Marketers just review the results.
We feed the analysis straight back into content, then re-measure. Citations stack up fast.
How Findable works
We pull 7 AI answers in parallel and return results within 3 minutes, tracking both Korean and English.
The short English name, the full English name, the Korean name. We auto-merge every spelling of the same brand. The edge global GEO tools can't match.
We prioritize three actions from GEO research and the sources found in your actual answers, starting with missing citations, quotations, and statistics.
We're building the ability to push recommendations straight to Cafe24 · Naver Smart Store · WordPress — formatted for AI to cite, then re-measured.
GEO guide
Start with the measurement scope and score definitions. Disconnected engines are never counted as successful answers.
Read the K-GEO Bench research →Findable is a generative engine optimization platform that measures how often AI answers mention your brand, what they say, and which sources they cite. It turns the result into a dashboard, a technical report, and prioritized content actions.
SEO improves visibility and ranking on search result pages. GEO improves whether generative AI systems recognize, mention, and cite your brand when composing an answer. The channels overlap, but their scores are not interchangeable.
The supported scope is ChatGPT, Claude, Perplexity, Gemini, HyperCLOVA X, Naver, and Daum. Only successful connected responses contribute to a score; disconnected and failed attempts remain visible but are excluded from the denominator.
The GEO composite combines recognition, sentiment, citation quality, competitive position, and answer appearance. Answer appearance is the percentage of successful answers that mention the brand at least once. They are separate metrics, not duplicate headline scores.
Review the AI excerpts and sources in the dashboard, compare runs in measurement history, and use the action queue to prioritize fixes. Saved tracking questions accumulate results on the next measurement.
Search ads and SEO exist only while you keep paying. Stop, and your visibility disappears. That's rent. GEO is different. Once you make AI cite you accurately and often, that visibility carries into the next answer and the next model. Not a burn rate, but equity that accrues to your brand.
The brand that starts now becomes the default answer a year from now. Stop renting. Start building equity.
Start freeInsights
Every time 7 AI engines answer, see how often your brand and competitors get cited.
Share of Voice
ChatGPT
89%
Claude
65%
Perplexity
86%
Gemini
84%
HyperCLOVA
81%
네이버
92% · n=3
다음
41%
Same brands, but 네이버 92% vs 다음 41% — a 51pt spread across engines
View the dataset →Sources
When we measure it, the sources AI leans on are mostly Naver blogs and wikis. That's where the work actually is.
Citation Sources
Among the top cited sources, owned domains are just 3% — fixing your own site alone rarely moves the answer.
View the dataset →Start in 3 minutes
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