GEO · AI Search Optimization Platform
Same question, different brandson
Chainshift turns AI search data into KPIs and manages AI search optimization from action design to execution.
Brands using Chainshift
















Why GEO matters
The brand you saw yesterdayis gone today
AI answers change every time.To know how often your brand appears, you have to ask again and again and record the results.
Answers change with every ask
Same question, different answer
AI gives a different answer each time, so one search cannot tell you whether your brand shows up.
What checking by hand takes
4,500 asks a month
Asking 25 questions across six AI search engines every day means 4,500 asks to run and record each month.
Questions and brands on screen are examples. 4,500 is 25 questions × 6 engines × 30 days.
How to measure AI search visibility
Register once,and we ask every day
Register your questions and we ask eight AI search engines every day, collecting answers and cited sources.
01
Register your questions
Pick the questions customers ask AI, the brands to compare,and the AI search engines to track.
02
We start asking the next day
We ask each question as many times as you setand collect the answers and cited sources.
03
Daily results become probability
How often your brand appears adds upinto visibility trends and brand gaps.
Questions and numbers on screen are examples.
AI search visibility analytics
AI doesn't give you 10 linksIt gives one answer
See whether your brand is in that answer, and what the answer is based on.
Compare 6 AI search engines
See which AI leaves your brand out.
Collect real on-screen answers
Not the official API, but the answers customers actually read.
Measure visibility every day
How often your brand appears builds into a trend.
See recommendation order
Questions from customers who haven't picked a brand yet.
See the sources AI read
Cited sources plus the follow-up searches AI ran (fan-out).
See gaps between brands
Questions with the biggest gap come first.
Questions, brands, numbers, and domains on screen are examples.
GEO workflow: audit, seed, optimize, track
Audit, act,and check the change again
Audit against your brand goals and put content into action.After seeding and optimizing, track the change with the same questions.
- 01 · Audit
Find the questions and channels to act on
Analyze brand exposure and cited sources in the questions consumers ask.Brand ranking ⓘView all ›Rank Brand Visibility Avg. order Change 1 BBrand A 87.7% 1.5 ↓ 1.1pp 2 TTaktak 39.4% 2.4 ↓ 5.9pp - 02 · SeedingBeta
Choose content topics and channels
Plan and publish content based on the sources AI refers to.Create content
Pick keywords where your brand is missing and fill them with content.
1Keywords2Guidelines3Content type4Product info5Settings① Step 1Which campaign should gain brand visibility?Active Sample campaign ⌄② Step 2Which platforms should you target?ChatGPT · Gemini · Google AI Mode · Naver AI Briefing - 03 · Optimize
Apply audit results to your content
Use page audits and content guides to decide what to fix, then improve the content.GEO marketing consulting | AI search optimization AEO GEO platform
Created 2026-04-13 17:59 · Diagnosis #59 · Auto collectionhttps://brand-a.example/geo-marketingDownload report94.8Overall97.4SEO93.2GEO93.9AEOFix order
1Strengthen the H1 keywordEasy · under 1 hourView current and fixed code ⌄2Make image alt text specificEasy · under 1 hourView current and fixed code ⌄3Add internal links to FAQ answersEasy · under 1 hourView current and fixed code ⌄ - 04 · Track
Compare before and after
Keep collecting the same questions to compare visibility and citations, then pick the next target.Brand visibility
Oct 14 – Oct 20AI search visibilityTaktakBrand CBrand ABrand DBrand EThe last day is still being counted and may change.Brand ranking ⓘView all ›Rank Brand Visibility Avg. order Change 1 BBrand A 87.7% 1.5 ↓ 1.1pp 2 TTaktak 39.4% 2.4 ↓ 5.9pp 3 BBrand C 39.1% 1.8 ↓ 4.7pp 4 BBrand D 21.6% 2.3 ↓ 5.9pp 5 BBrand E 19.6% 2.9 ↑ 1.6pp 6 BBrand F 1.8% 3.2 ↓ 4.4pp 7 BBrand G 0.1% 2.0 —
Content generation and CMS publishing are in Beta. You run content distribution and updates.Screens are sample recreations of the product. Numbers explain features and do not guarantee results.
GEO data accuracy
We have collected20 million AI answers
We publish how much we collect, and check with real data that our method holds up.
- AI answers collected so far
- 20M+
- As of Oct 13, 2026
- Asks to AI search engines per day
- 63K
- Oct 12, 2026, one day
- Citation rows used to validate our method
- 2.81M
- Internal study · Jul 24, 2026
Internal study · Jul 24, 2026
Do you reach the same conclusion asking once or 10 times a day?
- Visibility gap
- 1.1pp
- Topic rank correlation 0.91
- Gap in cited source mix
- 2.3pp
- Across all 14 source types
- New URLs found
- 2.1×
- 10 times a day finds more
In this study, asking once versus 10 times a day made little difference to visibility.
Read the full studyAI agent for GEO analytics
NEWFind and download dashboard data with ease
Review visibility, citations, and AI answer text,and download the raw data you need as CSV.
Visibility data download
Get brand mentions, rank, and keyword and CEJ categories for each answer as CSV.
- Brand mentions per answer
- Keyword and CEJ categories
- Raw data CSV
GEO platform customer reviews
The AI search platform chosen byenterprises and marketing experts
We compared many GEO services, and Chainshift is the most accurate at measuring AI visibility.
Daehong CommunicationsA GEO solution that truly reflects insights from the beauty industry.
AmorepacificPractical solutions and insights we can put into our marketing.
LG ElectronicsWe could clearly see our strengths and opportunities against competitors.
CJ WellcareAs an SEO professional, I can vouch for its accuracy.
Searchnine
GEO blog and press
Data-driven articlesand press coverage
Analysis based on the AI answers Chainshift collects, and articles about Chainshift.
InsightsChainshiftThe GEO illusion created by SoV
A big-data GEO research case. Even with the same top 5 AI citation sources, visibility differed 30x. We analyze, with a real case, what causes the GEO illusion that small data creates and how a big-data diagnosis leads to an optimization strategy.
InsightsChainshiftCan you really trust a query you run once a day?
Insights on how to set the number of prompts and queries when measuring GEO data.
Press조선비즈체인시프트 GEO 솔루션, AWS 마켓플레이스 등록
생성형 AI 기반 검색 서비스 이용이 늘면서 기업의 디지털 노출 전략도 검색엔진 중심에서 AI 응답에서의 브랜드 언급과 인용 현황을 살피는 방향으로 확장되고 있다. 이러한 가운데, AI 검색 최적화(GEO, Generative Engine Optimization) 기업 체인시프트(대표 주민건)는 자사 GEO 솔루션 '체인시프트'가 아마존웹서비스(Amazon Web Services, 이하 AWS) 마켓플레이스(Marketplace)에 등록됐다고 밝혔다. 회사 측은 국내 GEO 솔루션 가운데 AWS 마켓플레이스에 등록된 첫 사례라고 설명했다.
Read article Opens in a new window
InsightsChainshiftWebMCP: Is the era of the front end coming back?
In the age of AI agents, the web is no longer adequately served by a structure that is merely ‘readable.’ This outlines the limitations of the DOM-based web, how WebMCP transforms the web into an executable interface, and what marketers and product teams should be preparing right now.
InsightsChainshiftHow to buy in the age of AI search feat. OpenAI
The OpenAI ACP review describes the structural changes and choice-centered competition in which AI goes beyond recommendations to execute purchases.
Press오렌지플래닛‘설명 대신 데이터’ 대기업 지갑 열게 한 영업 비결 (by. 체인시프트)
'소비자뿐만 아니라 AI를 설득하는 것', 제로클릭 시대의 새로운 마케팅 생존법이라고 생각했습니다. 수많은 고객을 직접 만나며 시장의 진짜 위기감을 확인했죠. 발로 뛰며 모은 재료들을 앞세워 체인시프트를 단순한 진단 툴을 넘어 'AI 마케팅의 필수 인프라'로 진화시키고 있습니다.
Read article Opens in a new window
InsightsChainshiftThe GEO illusion created by SoV
A big-data GEO research case. Even with the same top 5 AI citation sources, visibility differed 30x. We analyze, with a real case, what causes the GEO illusion that small data creates and how a big-data diagnosis leads to an optimization strategy.
InsightsChainshiftCan you really trust a query you run once a day?
Insights on how to set the number of prompts and queries when measuring GEO data.
InsightsChainshiftWebMCP: Is the era of the front end coming back?
In the age of AI agents, the web is no longer adequately served by a structure that is merely ‘readable.’ This outlines the limitations of the DOM-based web, how WebMCP transforms the web into an executable interface, and what marketers and product teams should be preparing right now.
InsightsChainshiftHow to buy in the age of AI search feat. OpenAI
The OpenAI ACP review describes the structural changes and choice-centered competition in which AI goes beyond recommendations to execute purchases.
InsightsChainshift“Is EEAT a concept or a structure?”
Trust in AI search is formed through sources that are repeatedly chosen, and a consistent citation structure is key rather than simple exposure.
InsightsChainshiftAI Search Analysis of 10 Million ChatGPT Citations
In AI search, the citation sources are rapidly changing, and designing exposure strategies based on major media is key for GEO.
Press조선비즈체인시프트 GEO 솔루션, AWS 마켓플레이스 등록
생성형 AI 기반 검색 서비스 이용이 늘면서 기업의 디지털 노출 전략도 검색엔진 중심에서 AI 응답에서의 브랜드 언급과 인용 현황을 살피는 방향으로 확장되고 있다. 이러한 가운데, AI 검색 최적화(GEO, Generative Engine Optimization) 기업 체인시프트(대표 주민건)는 자사 GEO 솔루션 '체인시프트'가 아마존웹서비스(Amazon Web Services, 이하 AWS) 마켓플레이스(Marketplace)에 등록됐다고 밝혔다. 회사 측은 국내 GEO 솔루션 가운데 AWS 마켓플레이스에 등록된 첫 사례라고 설명했다.
Read article Opens in a new window
Press오렌지플래닛‘설명 대신 데이터’ 대기업 지갑 열게 한 영업 비결 (by. 체인시프트)
'소비자뿐만 아니라 AI를 설득하는 것', 제로클릭 시대의 새로운 마케팅 생존법이라고 생각했습니다. 수많은 고객을 직접 만나며 시장의 진짜 위기감을 확인했죠. 발로 뛰며 모은 재료들을 앞세워 체인시프트를 단순한 진단 툴을 넘어 'AI 마케팅의 필수 인프라'로 진화시키고 있습니다.
Read article Opens in a new window
Press테크42[인터뷰] 한용희 체인시프트 대표, “제로클릭 시대, 브랜드 AI 검색 최적화 솔루션을 만들었습니다”
생성형 AI 시대가 본격화되며 기존 검색엔진 기반의 SEO(search engine optimization, 검색엔진최적화) 체제가 흔들리고 있다. 검색 결과 상단에 AI가 복잡한 질문에 대해 요약된 답변과 핵심 정보를 먼저 제시하는 구글의 ‘AI Overviews’는 더욱 확장되고 있다. 또한 구글은 더 강한 추론 기반의 AI Mode를 실험·도입했다. 챗GPT를 개발한 오픈AI의 가입자는 글로벌에서 8억명, 국내에서 2000만명을 돌파했다. 챗GPT 외에 제미나이, 퍼플렉시티, 클로드, 그록 등 다양한 생성형 AI 서비스가 등장하며 정보 검색 채널도 다변화되고 있다.
Read article Opens in a new window
Press중앙일보중앙대 커뮤니케이션대학원·체인시프트, AI 검색 환경 변화 대응 전략 특강
중앙대학교 커뮤니케이션대학원은 지난 12월 3일 AI 검색 환경의 변화와 대응 전략을 주제로 체인시프트와 함께 특별 강연을 개최했다. ‘온라인과 AI 검색, 어떻게 바라볼 것인가?’를 제목으로 열린 이번 강연은 중앙대 이민규 교수의 주관 아래 주요 언론사 임원과 현직 기자들이 참석해 AI 시대 정보 유통 구조의 변화와 뉴스 산업의 미래를 토론하는 자리로 마련됐다. 강연을 진행한 주민건 체인시프트 COO는 “AI는 단순한 검색 기술을 넘어 사용자가 클릭하지 않아도 즉시 답을 생성하는 ‘앤써 퍼스트(Answer-First) 시대’를 열었다”며 글로벌 시장에서 챗GPT, 퍼플렉시티 기반 검색이 빠르게 확산되고 있다고 설명했다.
Read article Opens in a new window
Press테크42DMI 2026, “2026년 마케터의 책상 위에 있어야 할 기술” 스타트업 4개사 피칭으로 공개
글로벌 경기 침체와 통상 갈등, 공급망 리스크 등 불확실성이 높아지며 기업들은 내년에도 AI 기반 마케팅 전환(AX) 을 필수 전략으로 삼고 있다. 변화하는 검색 환경(AEO·GEO), AI 에이전트 기반 소비자 여정, 콘텐츠 대량 생산의 필요성까지 더해지며, 마케팅의 핵심은 ‘초개인화(Personalized)’와 ‘성과 최적화(Optimized)’를 동시에 실현하는 기술로 이동하고 있다. 이 같은 흐름 속에서 올해 ‘디지털 마케팅 인사이트 2026(DMI 2026)’은 실무 중심의 해법을 제시에 방점을 두고 각 분야 전문가 발표와 패널토론으로 풍부한 세션을 구성, 기대를 모으고 있다.
Read article Opens in a new window
Press매일경제AI 검색 최적화(AEO·GEO) 스타트업 체인시프트, 중기부 팁스 최종 선정
AI 검색 최적화 기술 스타트업 ‘체인시프트(Chainsift)’가 설립 4개월 만에 중소벤처기업부의 민간투자주도형 기술창업 지원 프로그램인 팁스(TIPS)에 최종 선정됐다. 체인시프트는 독자적인 검색 엔진 최적화 기술을 기반으로 국내외 대기업과 협업을 빠르게 확대하며 AEO(Answer Engine Optimization), GEO(Generative Engine Optimization) 등 차세대 AI 검색 최적화 기술에서 경쟁력을 입증해왔다. 이번 팁스 과제를 통해 해당 기술의 고도화에 나선다. AEO·GEO는 구글·네이버 알고리즘 변화, ChatGPT·Perplexity 등 AI 검색 확산에 따라 기업 콘텐츠가 새로운 AI 검색 환경에 자연스럽게 노출되도록 최적화하는 기술로 최근 빠르게 성장 중인 분야다.
Read article Opens in a new window
Get started with AI search optimization
Register today, get your first answers tomorrow
Choose your questions and AI search engines, and answers start building up the next day.
Need an assessment first? Contact us
GEO FAQ
Frequently asked questions
Have more questions? Leave them in an assessment request.
What makes it different
SEO tools look at the technical side of a website. Chainshift analyzes the answers AI produces.
We track how AI perceives your brand and in what context it is mentioned, and give you insights from a GEO (Generative Engine Optimization) perspective.
The names differ, but the goal is the same: getting your brand into the answers AI gives.
- GEO (Generative Engine Optimization)
- Optimization for AI search that writes new answers, like ChatGPT and Gemini
- AEO (Answer Engine Optimization)
- Optimization for screens that show an answer above search results, like Google AI Overview and Naver AI Briefing
Chainshift measures both across six AI search engines with the same standard.
Companies that need to manage how their brand is mentioned in AI search.
It is widely used in B2C industries where consumers ask AI for product and service recommendations.
Results and metrics
Yes. We define it not as exposure or not, but as a metric you can manage.
We define it with measurable metrics such as Visibility and Citation. They are brand influence metrics, not traffic, so you can set and track them as quarterly KPIs.
AI search works at the stage where users with purchase intent ask specific questions. So rather than exposure counts, we analyze how often your brand is chosen at the point where real demand forms.
- How branded search volume changes as AI exposure grows
- Whether traffic to conversion pages grows as AI citations grow
- How your share against competitors changes in the same question group
When your website or content (owned media) is optimized for AI search, we also analyze the flow from AI exposure to site visits and conversions to see the correlation with revenue.
Yes. We compare how AI cited sources and exposure change after content publishing, PR, and brand campaigns, so you can see in numbers whether your work shows up in AI answers.
Operations and cost
Yes. AI search reflects the results of your SEO, content, and PR campaigns.
Chainshift analyzes AI visibility together with your campaign data so you can see the role AI plays in your marketing mix.
It is a monthly subscription. Plans differ by the number of questions and AI search engines.
You can compare plans on the pricing page.
Action and re-measurement
Questions where your brand is missing, and sources cited instead of yours, are what your content should strengthen.
Content generation and CMS publishing for those questions are available in Beta.
Yes. We compare visibility and citation before and after. You can track results by question group and keep running experiments.
Since we collect answers every day, you can see results day by day.
