# ListeningMind wiki (en)

## AX: AI transformation

- [Korea Job & Career Platform Search Rankings (Sep 2025 to Aug 2026)](https://daas.listeningmind.ai/en/wiki/kr-hr-brand-search-ranking): When choosing channels to publish job postings, start by comparing platforms that attract search interest, but examine ranking shifts and search volume changes separately. In ListeningMind Brand Finder South Korea data (Sep 2025 to Aug 2026), search interest was concentrated on Saramin, Job Korea, and Albamon, with Job Korea rising in rank despite a decline in search volume.
- [Small Business Tools: What Korea, Japan, and the US Search For](https://daas.listeningmind.ai/en/wiki/smb-korea-japan-us-search): When preparing to expand B2B SaaS or seller solutions into Japan and the US, it is necessary to distinguish between data used to select local integration candidates and actual usage patterns. The ListeningMind Brand Finder search aggregates for Korea, Japan, and the US compare which tools attract search interest, but they are not usage statistics showing whether multiple tools are used together.
- [Korean AI Assistant Brand Search Rankings (Sep 2025–Aug 2026)](https://daas.listeningmind.ai/en/wiki/kr-aichat-brand-search-ranking): When adopting generative AI tools or reviewing competitor marketing targets, teams must first identify which brands users search for most often. From Sep 2025 to Aug 2026, out of a total monthly average search volume of 75,824,764, ChatGPT accounted for 45,187,580 searches, or 59.6%. The top three brands combined held 95.4% of the share. Search volume indicates interest size rather than sales or m
- [Korea SMB Business Tool Search Rankings (Sep 2025 to Aug 2026)](https://daas.listeningmind.ai/en/wiki/kr-smb-brand-search-ranking): When evaluating competing brands among services for small and medium businesses (SMBs), it is necessary to examine which tools receive high search interest and how that interest has shifted over time. This report compares 14 brands in the South Korean SMB business tools category based on monthly average search volume, category share, and year-over-year changes (South Korea, monthly average from Se
- [What is AX (AI Transformation)?](https://daas.listeningmind.ai/en/wiki/ax): AX (AI Transformation) is the process of identifying parts of a company's work that AI Agents can handle, and providing them with the data to read, tools to call, procedures to follow, and budgets they can use. Humans handle judgment and approvals.
- [10 Fast-Rising AI Tool Search Queries (South Korea, Sep 2026)](https://daas.listeningmind.ai/en/wiki/kr-aitool-rising-searches-202610): This search list serves as a reference when deciding how much to emphasize video creation and free terms in AI tool advertising. In the South Korean market over the recent three months (Jul 2026 to Sep 2026), the monthly average search volume for '무료 ai 영상 툴' (free AI video tool) was 7,833, up 389.6% compared to one year earlier. Among the top 10 search queries by growth rate, 7 were related to vi
- [Notion Is the Most Searched Collaboration Tool Brand in Korea](https://daas.listeningmind.ai/en/wiki/kr-collab-brand-search-ranking): When adopting internal collaboration tools or selecting workplace software partners, understanding where user interest is focused is essential. Among 12 collaboration and productivity tool brands in Korea, Notion ranked first with a monthly average search volume of 1,482,693 searches, accounting for 49.0% of the total, while the top 3 brands together reached a combined share of 68.4%.
- [AI Tool Search Share by Brand Differs by Age and Gender](https://daas.listeningmind.ai/en/wiki/kr-aitool-who-searches): When selecting marketing or partnership targets for AI tools, it is necessary to examine groups searching the overall genre separately from groups looking for specific brands. Searches for 16 AI generative and productivity tool brands in South Korea showed differences in brand search share by age group and gender composition by brand (monthly average from Sep 2025 to Aug 2026). Use these differenc
- [Cloud and Developer Infrastructure Search: Korea, Japan, and the US](https://daas.listeningmind.ai/en/wiki/cloud-korea-japan-us-search): Teams planning market entry or developer outreach need to understand which infrastructure brands practitioners search for in each region. Compared to three years ago, search volume grew +81.5% in the US, +34.2% in Japan, and +23.5% in Korea.
- [When ERP, Accounting, and Tax Searches Rise: Jan 117 vs Oct 88](https://daas.listeningmind.ai/en/wiki/kr-erp-search-season): In the South Korean market, searches in the ERP, accounting, and tax genre are highest in January (seasonality index 117) and lowest in October (88) based on a 48-month analysis from Sep 2022 to Aug 2026. Understanding the annual flow provides a baseline for setting budget and operational timelines.
- [E-Signature Search: #1 Brand Share and DocuSign in KR, JP, US](https://daas.listeningmind.ai/en/wiki/esign-korea-japan-us-search): In the South Korean, Japanese, and US electronic signature markets, the top brand search shares are 62.5%, 61.0%, and 81.0% respectively. This report compares brand concentration and global expansion patterns using search volume data from each market.
- [Google Workspace Searches Up 84.4%: Share Shift in Collab Tools](https://daas.listeningmind.ai/en/wiki/kr-collab-google-workspace-rising): Google Workspace recorded a monthly average of 68,592 searches in the collaboration and productivity tools category in South Korea from 2025.09 to 2026.08. This is an 84.4% increase compared to the same period of the previous year, moving up one rank from 10th to 9th within the category.
- [CRM and Marketing SaaS Search: Leaders in Korea, Japan, and the US](https://daas.listeningmind.ai/en/wiki/crm-korea-japan-us-search): In CRM and marketing SaaS searches, Kakao Business led in South Korea with 30.9%, Sansan ranked first in Japan with 29.5%, and Salesforce topped the US with 26.1%. The top brand composition and 3-year change rates diverge sharply across the three markets.
- [n8n, Claude Code, AI Agent: Where Search Moved in Korea and Japan](https://daas.listeningmind.ai/en/wiki/ai-work-tools-search-kr-jp): Work automation interest in South Korea and Japan shifted from Cursor to n8n, and then to Claude Code. As of September 2026, searches for specific tool names fell to 17-44% of their peaks, while searches for 'AI Agent' retained 61% (South Korea) and 82% (Japan) of their peak levels.

## Intent Intelligence

- [4-Year Toner Pad Searches: MEDIHEAL 17% to 53%, P.CALM 34% to 4%](https://daas.listeningmind.ai/en/wiki/toner-pad-brand-search-share): Comparing 4 years of searches across 15 brands in related searches for 'toner pad', MEDIHEAL's share grew from 16.9% to 53.1%, while P.CALM's share fell from 34.1% to 3.7%. In September 2026, Blanc Diva, which grew for five consecutive months, was the second most searched brand after MEDIHEAL.
- [Tire Replacement Timing and Cost: What Consumers Search For](https://daas.listeningmind.ai/en/wiki/kr-b130e85b-buyer-questions-e5d1a8): When planning tire replacement campaigns and quote guides, questions identified in search data must be separated from actual reasons for replacement. South Korea tire data from ListeningMind Intent KG presents items related to replacement cycles, brands, installation labor, and incidental costs. However, because aggregation periods and reference months are not specified and automobile searches are
- [Intent Knowledge Graph (IKG): 3 Layers and 25 Elements](https://daas.listeningmind.ai/en/wiki/intent-knowledge-graph): The Intent Knowledge Graph (IKG) connects products, brands, consumer purchase contexts, selection criteria, and market decision knowledge across 3 layers and 25 element types, attaching evidence and sources to each sentence. It operates on demand, generated by topic when needed.
- [Six Purchase Decision Axes: CEP, Goal, KBF, RTB, Limits, Avoidance](https://daas.listeningmind.ai/en/wiki/six-decision-axes): The six axes of purchase decisions are a framework for analyzing a buying situation across six dimensions: category entry points (CEP), purchase purpose, key buying factors (KBF), reasons to believe (RTB), constraints, and avoidance factors. This framework shifts the question of why a customer did not buy from vague preferences to specific conditions.
- [What Info Do Users Seek on Toner Pad Usage and Decanting?](https://daas.listeningmind.ai/en/wiki/toner-pad-search-data-barriers-report): When planning toner pad product details and travel-sized items, one must distinguish usage and portability searches from the actual reasons for non-purchase. Based on 13,276 average monthly searches for 'toner pad' alongside how-to queries and Daiso decanting container search journeys, this report outlines the information to provide and the purchase conditions to verify further.
- [Applying Toner Pad Search Queries to Product Planning](https://daas.listeningmind.ai/en/wiki/search-signals-to-hypotheses): When planning a new toner pad or preparing product detail page copy, teams need to decide which product specifications and guidance details to review. Categorize recommendation, portioning, refill, and usage method search queries by topic, and separate observed metrics, interpretations, and hypotheses to test into verification tasks for product specification, pricing, distribution, and messaging.
- [Friction Stopping Shoppers from Adding Toner Pads to Cart](https://daas.listeningmind.ai/en/wiki/non-customer-barriers-search-intent): When preparing new toner pad products or travel kits, teams must first identify the physical friction consumers experience. Search data highlights specific barriers during outings and travel, such as 'decanting toner pads' (510 monthly searches) and 'toner pads carry-on baggage' (233 monthly searches).
- [Intent Intelligence: Turning Search Behavior into Shared Evidence](https://daas.listeningmind.ai/en/wiki/intent-intelligence): Intent intelligence is the data and methodology that organizes search behavior into a structure of what people look for, why they search, and how they choose, allowing humans and AI agents to make decisions based on the same evidence.
- [What SUV Buyers Ask: 6 Criteria from 40,500 Monthly Searches](https://daas.listeningmind.ai/en/wiki/us-suv-buyer-questions-b47675): In US SUV search data, Lifestyle Change and Luxury each recorded the highest interest at 40,500 monthly searches. We analyzed consumer entry contexts, evaluation criteria, price and model year thresholds, avoidance factors, and alternative vehicle types across six axes to outline practical applications.
- [4-Year Toner Pad Search Trends: Overall Down 42%, Daiso Up 85%](https://daas.listeningmind.ai/en/wiki/toner-pad-search-trend-daiso): In South Korea, searches for 'toner pad' over the past year (Oct 2025 to Sep 2026) reached 176,330, down 41.7% from the same period three years earlier. Over the same timeframe, searches for 'Daiso toner pad' rose 84.7%, from 37,500 to 69,250, growing to account for 39.3% of total 'toner pad' search volume.

## MCP

- [MCP Search Trends: Fewer Look for Servers, More Look for Meaning](https://daas.listeningmind.ai/en/wiki/mcp-search-korea-japan): Interest in MCP is shifting from direct technical setup to basic definitions as more professionals encounter the term at work. In South Korea, searches for "mcp 서버" (mcp server) fell 85% from 15,470 in July 2025 to 2,260 in September 2026. Over the same period, searches for "mcp 뜻" (mcp meaning) rose steadily, reaching 7,550 in September 2026. In Japan as well, searches for "mcpとは" (what is mcp) i
- [What Is MCP: Open Standard for AI Agents to Call Tools and Data](https://daas.listeningmind.ai/en/wiki/mcp): Model Context Protocol (MCP) is an open standard that lets an AI Agent discover and call external tools and data in a uniform way. When a server exposes its capabilities as tools, clients such as Claude or ChatGPT can call those tools and use the returned results.

## Skills

- [What Are Agent Skills: Passing Work Procedures to Agents as Files](https://daas.listeningmind.ai/en/wiki/skill): A skill is a package that bundles the procedures, criteria, and examples for an AI agent to follow when performing a specific task into a SKILL.md file and supporting files. While MCP tells an agent what it can do, a skill tells it in what order and by what criteria to do it.

## APIs

- [Search Data API: 6 Tools to Connect Search Intent to SYSTEM and Agents](https://daas.listeningmind.ai/en/wiki/api): The ListeningMind Data API is a REST API that returns search volume, search paths, related searches, keyword clusters, AI Overviews, and trending topics for South Korea, the United States, and Japan in JSON. The same tools are also available via MCP so AI agents can call them directly.

## Marketing AX for companies

- [What Coupang Search Data Reveals for Shopping Platform Budgets](https://daas.listeningmind.ai/en/wiki/kr-shopping-coupang-search-analysis): When allocating shopping platform advertising and seller onboarding budgets, you need to examine both search volume and search intent for Coupang. While search interest is heavily concentrated on Coupang, post-search path samples show that seller and affiliate inquiries make up the majority. Budgets for purchase ads and seller or affiliate guides should be separated, and ad targeting must be revie
- [Korean Car Brand Search Rankings and 1-Year Rank Shifts](https://daas.listeningmind.ai/en/wiki/kr-carbrand-brand-search-ranking): When allocating advertising budgets across car brands, marketers need to examine current search volume alongside growth rates. In South Korea data from ListeningMind Brand Finder (monthly average, Oct 2025 to Sep 2026), the top 5 brands accounted for more than half of all search volume, but KGM, which showed the highest growth rate, saw no change in rank.
- [Top-Ranked Korean Skincare Brand by Search (Sep 2025 to Aug 2026)](https://daas.listeningmind.ai/en/wiki/kr-skincare-brand-search-ranking): When selecting competitor brands for a basic skincare campaign, you need to compare search volume rankings alongside growth rates. From Sep 2025 to Aug 2026, Medicube ranked first in monthly average search volume among Korean basic skincare brands with 285,704 searches. The total monthly average searches across all 31 analyzed brands reached 4,354,503, with the top 3 brands accounting for a combin
- [AI Search Trends: Vibe Coding Rose, AI Drawing Fell](https://daas.listeningmind.ai/en/wiki/kr-aitopic-search-data-marketing-guide): When planning new AI services and annual campaigns, it is necessary to distinguish growing topics from tasks that still attract high search demand. AI Checker and Vibe Coding grew, yet despite the decline in searches for AI Drawing, 'ai image generation' remained the most frequent related search term. Feature planning should examine interest by task, while ad messaging and scheduling should be div
- [Korea OTT and Content Platform Search Rankings and 1-Year Changes](https://daas.listeningmind.ai/en/wiki/kr-ott-brand-search-ranking): When allocating content partnerships or marketing budgets, it is necessary to check where user search interest is concentrated. The monthly average search volume for 15 OTT and content platform brands in South Korea was 23,488,607 searches, with Netflix ranking first at 6,166,721 searches. The combined search share of the top 3 brands reached 60.0%.
- [How Does Search Interest Differ for Skechers and Le Mouton?](https://daas.listeningmind.ai/en/wiki/kr-shoes-skechers-vs-le-mouton): When deciding search ad messaging for Skechers and Le Mouton, comparing co-searched terms alongside overall search volume is necessary. Over the past year (Sep 2025 to Aug 2026, South Korea, shoes category), monthly average search volume reached 633,763 for Skechers and 618,820 for Le Mouton. Skechers co-searches include functional line names such as Go Walk, Max Cushioning, and Arch Fit, while Le
- [What Information Do People Search for After 'Cafe'?](https://daas.listeningmind.ai/en/wiki/kr-coffee-search-journey): When using 'cafe' in search advertising for coffee brands, one must distinguish it from searches for online communities and hosting services. In this sample, all paths leading to Starbucks were union-related searches, so the mere presence of a brand name should not be interpreted as an intent to visit a store or make a purchase.
- [Shoe Searches: Top Brands and Share in Korea, Japan, and the US](https://daas.listeningmind.ai/en/wiki/shoes-korea-japan-us-search): When entering overseas footwear markets or planning global campaigns, you need to first identify which brands drive market interest in each country. The top brand by shoe search share differed by market: New Balance in Korea at 15.0%, Onitsuka Tiger in Japan at 15.9%, and Nike in the US at 13.8%. Here is a breakdown of brand concentration and search volume trends over the past three years across t
- [How Search Ages and Seasons Differ Across Sports and Fitness](https://daas.listeningmind.ai/en/wiki/kr-sports-search-data-marketing-guide): When setting target audiences for new products or scheduling promotions in the sports and fitness category, identifying which activities people search for and when provides clear rationale for decisions. Across 15 brands in the South Korean sports and fitness genre, the monthly average search volume over the recent 12 months (Sep 2025 to Aug 2026) was 2,411,789 searches, led by Golf (31.2%), Fitne
- [GEO + [ACO + AOO]: From AI-Recommended to AI-Selected Brand](https://daas.listeningmind.ai/en/wiki/geo-aco-aoo): Connecting brand visibility in AI answers to purchases requires checking both product information and site support for agent tasks. GEO helps AI accurately discover and cite a brand, ACO connects purchase terms with official product data to prepare for comparison and selection, and AOO enables AI agents to access the information and actions they need on a site.
- [Strawberry Flavored Milk Search Data: Needs, Comparisons, Details](https://daas.listeningmind.ai/en/wiki/binggrae-strawberry-milk-search-data): In South Korea, 'Strawberry Flavored Milk' was searched an average of 372 times per month from October 2025 to September 2026. This is a 10.1% decrease compared to the same period of the previous year. Rather than looking only at the product itself, consumers also search for Banana Flavored Milk or ingredient-related terms.
- [Why Do Binggrae Foundation Searchers Seek Independence Patriots?](https://daas.listeningmind.ai/en/wiki/binggrae-binggrae-foundation-search-data): When deciding the information content for social contribution campaigns, search terms that follow the foundation name are examined. In search journeys for 'Binggrae Public Welfare Foundation', 'Binggrae independence patriots' appeared most frequently, alongside veterans-related expressions and company product searches. While this serves as a checklist for reviewing foundation program guides, deter
- [Enterprise Marketing AX: Starting AI Transformation with Search Data](https://daas.listeningmind.ai/en/wiki/marketing-ax): Enterprise Marketing AX transforms marketing tasks such as market research, audience definition, messaging, content, advertising, and AI search readiness. AI agents perform the work using supporting data while humans make decisions. The supporting data comes from actual customer search records.
- [Customer-Centric Marketing AX: Gaining New Customers, Not Just AI](https://daas.listeningmind.ai/en/wiki/customer-first-marketing-ax): Customer-centric marketing AX discovers unsolved customer problems, finds answers with data and AI, and connects products to new customers and markets. AI adoption, workflow automation, data infrastructure, and agent development are means to this end.
- [Marketing AX KPIs: Acquiring New Customers, Not Agent Count](https://daas.listeningmind.ai/en/wiki/marketing-ax-kpi): The success of marketing AX should be judged not by the number of agents or the speed of report generation, but by whether someone who was not previously a customer actually became a customer. It is measured in four stages: discovering new demand, readiness to answer, new customer acquisition, and sustainability of growth.
- [Non-Customers: Growth Starts with Those Who Do Not Buy Yet](https://daas.listeningmind.ai/en/wiki/non-customers): Non-customers are people who have not bought your brand yet, buy it only very rarely, or underuse the entire category despite having a need. Because they rarely show up in internal customer data, you must use behavioral data outside your company to understand why they do not buy.
- [What Do Japanese Consumers Search About Corona Beer and Heineken?](https://daas.listeningmind.ai/en/wiki/jp-beer-corona-beer-vs-heineken): When deciding product information and advertising messages for imported beer in Japan, comparing co-searched terms is more informative than comparing total brand search volume. Over the recent year, monthly average search volume was nearly identical at 23,915 for Corona Beer and 23,828 for Heineken, but searches for price, calories, and cases were higher for Corona Beer (Japan, monthly average Sep
- [33 Color & Base Brands: Where Each Generation Searches](https://daas.listeningmind.ai/en/wiki/kr-makeup-who-searches): When planning campaigns and lineups for color and base cosmetics, teams need to track how brand interest and demographic preferences shift across age groups.
- [What Information Do People Search Alongside Binggrae Kids Drawing Festival?](https://daas.listeningmind.ai/en/wiki/binggrae-kids-drawing-festival-search-data): When deciding whether to include only participation details or also product information on the event guide page, it is important to examine search terms appearing with the event name while distinguishing their order and separation. This article reviews promotion timing and guide content based on search trends by event name, sample search paths, and website diagnosis results.
- [Melona to Pig Bar: Search Trends for Classic Ice Pop Brands](https://daas.listeningmind.ai/en/wiki/binggrae-melona-search-data): When reviewing marketing copy or revamping product detail pages for long-standing ice cream brands, identifying what terms consumers append to the brand name is the first step. In South Korea, Melona averaged 15,557 monthly searches across Naver and Google between October 2025 and September 2026. After searching for Melona, users most frequently looked up ingredient details related to oriental mel
- [Cledor: Prices Consumers Check and Comparison Brands](https://daas.listeningmind.ai/en/wiki/binggrae-cledor-search-data): When reorganizing official Cledor content and product detail pages, the first step is checking whether questions regarding brand meaning, price, and military post exchange (PX) are answered. This article identifies content gaps by comparing search queries with website audits, separating facts verified by search data from purchase occasions and brand comparisons that need additional verification.
- [Which Fonts Do People Move to After Searching for Binggrae Font?](https://daas.listeningmind.ai/en/wiki/binggrae-binggrae-font-search-data): When reorganizing a corporate free font distribution page, you must decide what font information to display alongside download instructions. Search queries related to 'Binggrae Che' show download, file format, and version details, and search journey samples also feature other font names. These data points provide a basis for determining informational items and keywords to manage.
- [Which Chicken Brand Is Searched the Most?](https://daas.listeningmind.ai/en/wiki/kr-chicken-brand-search-ranking): When selecting competitive benchmarks for chicken brand advertising, marketers check which brands attract search interest. In the South Korean chicken brand search market (monthly average from Sep 2025 to Aug 2026), BHC Chicken ranked first with an average monthly search volume of 812,926. This ranking table compares current interest scale and historical changes separately, without interpreting se
- [What Information Consumers Look for When Searching for 따옴](https://daas.listeningmind.ai/en/wiki/binggrae-ddaom-search-data): When deciding on advertising keywords and product descriptions for 따옴, searches related to punctuation marks must be distinguished from product searches. In Korea, search volume for '따옴' averaged 2,914 monthly searches (Naver and Google combined) from October 2025 to September 2026, down 30.2% compared to the same period last year. This article examines search paths and searches by product name.
- [What Product Details Do People Look for on AcafeLa?](https://daas.listeningmind.ai/en/wiki/binggrae-akapera-search-data): When deciding on search ad keywords and product detail page content for AcafeLa, it is important to examine what product criteria people search for. AcafeLa averaged 11,083 monthly searches across Naver and Google in the South Korean market (Oct 2025–Sep 2026), down 49.8% year over year. Based on search paths and related keywords, searches focus on decaf, large formats, and flavor profiles. Compar
- [How to Structure Starbucks Search Ad Keywords and Landing Pages](https://daas.listeningmind.ai/en/wiki/kr-coffee-starbucks-search-analysis): When deciding keywords and landing pages for Starbucks search ads, you need to look not only at brand search volume but also at the information searched afterward. In the South Korean coffee and cafe genre from September 2025 to August 2026, Starbucks recorded an average monthly search volume of 2,435,360 and a 27.8% share within the genre. In a sample of 30 search paths, queries for recruitment i
- [What Do People Search Alongside CareSens?](https://daas.listeningmind.ai/en/wiki/kr-healthdev-caresens-search-analysis): When setting up CareSens search ads and direct-to-consumer store pages, it is important to distinguish search queries for devices from those for consumables, purchase channels, and instructions. In the South Korean Health measurement device category, CareSens maintained 1st place with a monthly average search volume of 73,744 (Sep 2025 to Aug 2026), accounting for 29.9% of the category.
- [What Flavors and Info Do Kkotgerang Snack Searchers Seek?](https://daas.listeningmind.ai/en/wiki/binggrae-kkotgerang-search-data): When reviewing lineup expansions or promotional keywords for a long-standing snack brand, understanding what specific products consumers search for beyond the base brand name is critical. In South Korea, Kkotgerang recorded a monthly average of 4,522 searches (combined Naver and Google, Oct 2025 to Sep 2026), with people appending specific flavor names like Mara, Buljjamppong, and Wasabi to check 
- [Months with high and low outdoor wear searches (South Korea, 48 months)](https://daas.listeningmind.ai/en/wiki/kr-outdoor-search-season): The outdoor wear search index in South Korea peaks at 194 in November and drops to 61 in July (based on the 48 months from 2022.09 to 2026.08). Reviewing search trends in advance makes it easier to set execution timing for marketing and inventory planning.
- [Peak and Low Months for Domestic Travel Searches in South Korea](https://daas.listeningmind.ai/en/wiki/kr-travel-search-season): Searches for domestic travel destinations in South Korea peak in July with a seasonality index of 128 and hit an annual low of 78 in November (48 months from Sep 2022 to Aug 2026).
- [Age and Gender Searching Game Brands (Korea, Sep 2025 - Aug 2026)](https://daas.listeningmind.ai/en/wiki/kr-game-who-searches): In Korean game genre searches (monthly average from Sep 2025 to Aug 2026), people in their 30s (31.1%) and 40s (23.2%) accounted for over half. Here is an overview of search patterns across 34 brands, distinctly divided by age group and gender.
- [EV Search Rankings: Korea, Japan, and the US](https://daas.listeningmind.ai/en/wiki/ev-korea-japan-us-search): In Korea, the top EV search, Tesla Model Y, accounts for only 13.8% of interest, while Japan's bZ4X holds 29.1% and the US Tesla Model 3 takes 22.9%. Over three years, searches rose 85.2% in Korea, but fell 8.1% in the US.
- [High and Low Search Months for Apparel (South Korea, 48 Months)](https://daas.listeningmind.ai/en/wiki/kr-apparel-search-season): The search index for the apparel genre in South Korea peaks in November at 127 and drops to its lowest in August at 77 (South Korea, Sep 2022 to Aug 2026, 48-month seasonality index). Search volume represents consumer interest, not sales volume.
- [Months with High and Low Golf (Club and Apparel) Searches (Korea, 48 Months)](https://daas.listeningmind.ai/en/wiki/kr-golf-search-season): Searches for Golf (clubs and apparel) in Korea reach an annual peak in May with a seasonal index of 127 and fall to their lowest in December at 66. Monthly seasonal indices across 48 months from 2022.09 to 2026.08 show the annual flow of interest.
- [Months with High and Low Park Golf Equipment Searches (Korea, 48 Months)](https://daas.listeningmind.ai/en/wiki/kr-parkgolf-search-season): In the Korean market, the Park Golf equipment search seasonality index peaks in October at 114 and drops to its lowest in April at 85 (2022.09~2026.08). Across 48 months of data, the index rises in autumn and spring and declines in summer and April.
- [29 Apparel Brands: What Each Generation and Gender Searches For](https://daas.listeningmind.ai/en/wiki/kr-apparel-who-searches): UNIQLO ranks first across all age groups, but relative search indices vary by age among SPAO, MIXXO, ARKET, emis, and Thursday Island.
- [Binggrae Search Data: Situations, Comparisons, and Information](https://daas.listeningmind.ai/en/wiki/binggrae-search-data): Binggrae was searched an average of 69,396 times per month across Naver and Google in South Korea from October 2025 to September 2026. Based on co-searched keywords and individual product search data, here is an overview of the information consumers look for.
- [Banana Flavored Milk Search Data: Contexts, Comparisons, and Information Checked](https://daas.listeningmind.ai/en/wiki/binggrae-banana-milk-search-data): In South Korea, 'Banana Flavored Milk' was searched an average of 4,838 times per month on Naver and Google from October 2025 to September 2026. This is a 4.0% decrease compared to the previous year.
- [Together Search Data: Contexts, Competitors, and Information](https://daas.listeningmind.ai/en/wiki/binggrae-together-search-data): In South Korea, from Oct 2025 to Sep 2026, 'Together' was searched an average of 27,459 times per month across Naver and Google combined. Search volume fell 20.7% compared to the same period last year, but searches for 'Together ice cream' specifying the product name rose 15.7%.
- [Yoplait Search Data: Search Contexts, Comparisons, and Information Checked](https://daas.listeningmind.ai/en/wiki/binggrae-yoplait-search-data): In South Korea, Yoplait was searched an average of 11,666 times per month across Naver and Google from October 2025 to September 2026. Search volume decreased 13.3% compared to the previous year.
- [더:단백 Search Data: Contexts, Comparisons, and Information](https://daas.listeningmind.ai/en/wiki/binggrae-the-danbaek-search-data): In the South Korean market, the monthly average search volume for '더단백' from October 2025 to September 2026 was 25,432. This is a 27.7% decrease compared to the same period of the previous year. This report summarizes search paths and product information search data left by users.
- [Haitai Ice Search Data: Contexts, Comparisons, and Details](https://daas.listeningmind.ai/en/wiki/binggrae-haitai-ice-search-data): From October 2025 to September 2026 in South Korea, 'Haitai Ice' was searched an average of 1,148 times per month across Naver and Google. Compared to the same period last year, search interest decreased by 54.8%. Search paths continue primarily through individual product names and the merged corporate entity name.
- [Binggrae Headquarters Search Data: Context, Comparisons, and Info](https://daas.listeningmind.ai/en/wiki/binggrae-headquarters-plants-search-data): In the South Korean market, the monthly average search volume for 'Binggrae Headquarters' from Oct 2025 to Sep 2026 is 474. Search journeys lead to manufacturing plants and product ingredients, but related information coverage on the official website remains at 20 points.
- [ACO for PLP and PDP: Connecting Buying Context to PLPs and PDPs](https://daas.listeningmind.ai/en/wiki/aco-plp-pdp): Agentic Commerce Optimization (ACO) connects a customer's buying context with official product information so that humans and AI agents can compare and select products. The product listing page (PLP) addresses which candidates to view first, while the product detail page (PDP) addresses why a product is acceptable to choose.