FAQ

‘Topic Categories’ within a project represent the specific objectives or themes you wish to track and classify internally.

For instance, if you are analyzing the “Omega-3” keyword, you can organize Topic Categories and their sub-keywords as follows:

• Ingredients (Category Name): rTG, Plant-based, Supercritical, etc.
• Information (Category Name): Recommendations, Online Forums (e.g., Reddit/Discussions), Benefits, Side Effects, etc.

Flexible Management: You can dynamically create and manage these categories based on your specific monitoring objectives and internal management standards for related keywords.

① Initiation

Click the ‘Add to My Keyword’ button within Query Finder.

② Select Registration Method

• Register Keywords: Select and register individual keywords one by one.
• Bulk Register by Topic: Register keywords in bulk by applying Topic + Search Volume filters.

📌 Condition: Within the selected range, you can register up to the Top 500 keywords based on search volume.

Once you have completed registering your ‘Keywords of Interest’ (by project unit) in the My Keyword feature, you can access the following data:

• Search Volume for Topics and Individual Keywords: View the search volume for each topic and individual keyword registered within your projects.
• Search Volume Trend Graphs by Topic: Access visual representations of how search volumes for specific topics are trending over time.
• Search Volume Comparison Between Individual Keywords: Compare the search performance and demand across different individual keywords.
• Download Search Volume Data: Export and download the raw search volume data for further analysis.

My Keyword is a feature designed for convenient daily monitoring by gathering keywords that require periodic tracking in one place.

Keyword data is extracted from ‘Query Finder’, allowing you to create project units tailored to your objectives and periodically track and analyze search volume data. Typically, users register brand keywords, competitor keywords, or high-involvement keywords and group them by ‘Topic’ to monitor search volume trends effectively.

① Auto-complete Keyword Trends

Visualizes the ranking fluctuations of Auto-complete keywords highly relevant to your registered terms using a Bump Chart.

• List View: Switch to the list view to check daily ranking increases or decreases.
• Custom Selection: Click the graph icon next to a keyword to select or deselect the terms you wish to display on the chart.

② Analysis of Changes in Related Auto-complete Keywords

• New Keywords: Newly emerged related keywords that were not present previously.
• Trending (Issue) Keywords: Keywords with sudden shifts in interest or relevance.
  • New: Keywords that have newly appeared and are classified as trending.
  • Persistent: Keywords that maintain their trending status over a certain period.
  • Rising: Existing keywords that have newly transitioned into a trending state.
• Disappeared Keywords: Keywords that are no longer displayed in Auto-complete results.

③ Related Auto-complete Keyword Trends

• Top 10 Rising/Falling: The keywords that have seen the most significant ranking increases or decreases during the specified period.
• Navigation: Use the arrow icons to move through the data within your designated range.

④ All Related Auto-complete Keywords

View the complete list of all Auto-complete keywords related to your registered terms.

• Provided in alphabetical card format, which can be scrolled through using the arrow icons.

Keyword Trend is a feature that visualizes daily collected change data for target keywords registered by the user. It allows you to quickly and continuously track keyword trends and changes in Auto-complete related keywords.

In particular, Keyword Trend is highly effective for the early detection of brand risk signals. If the search volume for negative keywords associated with your brand surges, or if the composition of Auto-complete keywords shifts, these can be identified as signals that consumer perception is changing.

The Keyword Gap tool provides a comprehensive view of your digital market share compared to your competitors. Use these insights to identify high-value opportunities and refine your SEO strategy.

❶ Graphs

• Traffic Comparison Chart: A bar graph showing the Estimated Organic Traffic for each domain.
  • Insight: This allows you to compare the overall digital footprint and reach of your brand against up to four competitors at a glance.
• Keyword Overlap (Venn Diagram): Intuitively displays how many Organic keywords are shared between domains.
  • Insight: The size and intersection of the circles reveal how much of your “Search Real Estate” is currently being contested by rivals.

❷ Gap Filters

Use these filters to instantly categorize your competitive standing:

• All: View the complete list of keywords across all analyzed domains.
• Missing (Opportunities): Keywords where competitors rank, but your domain does not.
  • Strategy: These represent your biggest growth opportunities for new content.
• Weak: Keywords where you rank, but are currently being outperformed by competitors.
  • Strategy: Focus your optimization efforts here to reclaim the lead.
• Strong: Keywords where your domain holds a higher rank than your competitors.
• Only: Keywords unique to your domain that no competitors currently rank for.

❸ Data

• Search Volume: Average monthly search volume based on Google data.
• Ranking: Current position within the Top 10 Google search results.
  • Note: A “Crown” icon indicates the domain holding the #1 position; “–” indicates rankings outside the Top 10.
• Traffic (Estimated Organic Traffic): An estimate reflecting search volume, ranking, and SERP layout.
  • Insight: Perfect for Relative Benchmarking to see which keywords are driving the most actual value to each domain.

① Domain Input

Enter your own domain and up to four competitor domains.

• Note: Your own domain will serve as the primary benchmark for all comparisons.

② Selecting the Domain Scope

Depending on your analysis goals, you can refine the scope as follows:

Exact URL: Analyzes only one specific page (e.g., example.com/blog/post-1).

Root Domain: Analyzes the entire website (e.g., example.com and all its pages).

Subdomain: Analyzes a specific sub-site (e.g., blog.example.com).

Subdirectory: Analyzes a specific folder or category (e.g., example.com/blog/).

Keyword Gap is a strategic tool that allows you to compare the Organic search keywords and potential traffic of your own domain against those of your competitors. It is designed to help you pinpoint missed opportunities, as well as your brand’s relative strengths and weaknesses in the digital landscape.

By comparing up to five domains simultaneously, you can analyze search volume, rankings, and estimated Organic traffic for each keyword. This data provides a clear roadmap for:

• Discovering New Content Opportunities: Identifying high-value keywords that your competitors rank for, but you don’t.
• Improving Search Rankings: Pinpointing keywords where you are slightly behind and need optimization to overtake competitors.
• Expanding Keyword Strengths: Identifying “winning” keywords where you lead the market and doubling down on that success.
• Strategic Prioritization: Setting clear priorities for your content marketing and SEO budget based on actual competitive data.

When you search for a target keyword you wish to rank for, you can view the Page Configuration Info and Outlines of the currently top-ranking content.

The Page Configuration Info reveals how each piece of content has structured its Title and Meta Description. The Outlines provide a summary of the themes and specific details of the content. With ListeningMind Hubble’s Top Content feature, you can access all the essential information about top-performing pages without having to click through each one individually.

[Summary]

• Page Configuration Info: View the Title Tag and Meta Description for each top-ranking page.
• Content Outline: Access the Core Themes and a Summary of the page’s actual content.
• Content Idea Suggestions: Receive Content Ideas (Drafts) based on the structure and metadata of existing top-performing content.

With millions of new pieces of content uploaded to search engines every day, simply writing an article is no longer enough to guarantee top visibility. The Top Content feature analyzes the content that actually ranks at the top for specific keywords, helping you understand exactly what type of content performs best on search engines.

ListeningMind Hubble analyzes Google Search Engine Results Pages (SERP) in real-time to provide insights into the characteristics of top-ranking content—including its titles, structures, and descriptions. This allows you to pinpoint exactly what information users are looking for (Customer Intent) and produce relevant content more efficiently.

In short, this feature empowers you to build strategies based on already successful high-ranking content, enabling the rapid planning and production of content that perfectly aligns with search intent.

When reviewing Journey Finder results, you may occasionally find data that appears irrelevant or outside your specific scope. In such cases, you can use the editing features to modify or exclude data from the automated analysis results to better align with your objectives.

[Scope of Editable Data]

• Remove unnecessary keywords
• Modify Topic, CDJ Stage, and Brand classifications
• Download data, edit, and re-upload

[Data Editing Methods]

1. Automated Data Editing Used for quickly and efficiently excluding or reclassifying large volumes of keywords.

• Exclude Irrelevant Keywords by Cluster: You can exclude entire cluster groups categorized by topic from the analysis.
• Exclude Individual Keywords: You can manually select and remove specific keywords one by one.
• Regenerate Project: After excluding keywords, selecting ‘Regenerate Project’ triggers the AI to re-analyze and re-classify the remaining keywords. (Note: This will consume one regeneration credit.)

2. Manual Data Editing Used when you wish to directly modify specific data points.

• Download Current Data: Export the existing dataset into a file.
• Direct Modification: You can manually change values in the following fields: Target Keyword, Intent Keyword, Branded/Non-branded, Brand/Product Name, CDJ Stage, and Topic.
• Keyword Removal: To exclude irrelevant keywords, simply delete the entire row containing that keyword.
• Upload Edited File: Save and re-upload the modified file to apply changes.
  ❗️ Important: Modifying data fields other than the designated editable areas (e.g., search volume) may cause system errors.

In the CDJ map confirmed through Journey Finder, you will see a bubble graph that visualizes keywords categorized by stage and ‘Topic’. The size of each bubble is determined by either the aggregated search volume or the number of keywords included.

The ‘Domain Visibility’ filter is a feature that allows you to identify—both visually and through data—which domains hold what level of share within the search engine results pages (SERPs) for the ‘Core Keywords’ in each stage. Based on this feature, you can pinpoint which brands (including competitors) hold a competitive advantage at specific stages within a particular industry or category.

[Summary]

By utilizing the Domain Visibility filter, you can verify how well specific domains (your own or competitors’) cover keywords across each stage of the CDJ:

• Compare Up to 5 Domains: You can enter and compare up to five different domains simultaneously.
• Visibility Calculation: The share is calculated based on the number of keywords for which the selected domain appears within the Top 10 of Google Organic Search results.

Journey Finder provides a visualized map of the Customer Decision Journey (CDJ) divided into specific stages. Each stage is defined as follows:

① Exploration

The stage where consumers first recognize a need or problem and begin exploring the product market.

• Example: “Smartphones under $200,” “Best SUV recommendations”

② Information Search

The stage where consumers conduct comparative searches for specific product/brand information, features, and technical specifications.

• Example: “LG refrigerator capacity,” “Tesla Model 3 battery specs”

③ Experience Search

The stage where consumers refer to the experiences of others through reviews, testimonials, and expert opinions.

• Example: “LG refrigerator reviews,” “iPhone 15 pro user feedback”

④ Purchase Decision

The stage where consumers consider their final purchase by identifying the best buying conditions.

• Example: “S24 unlocked best price,” “iPhone 15 deals”

⑤ Post-Purchase

The stage involving activities and inquiries after the purchase, such as troubleshooting, support, or joining user communities.

• Example: “Dyson repair service,” “Harley-Davidson owners club”

Journey Finder generates a CDJ (Customer Decision Journey) Map based on the ‘Seed Keywords’ you provide. You can enter up to 10 “Seed Keywords” that best represent the industry, service, or category you wish to analyze.

① Enter Seed Keywords

When launching Journey Finder, enter up to 10 core keywords related to the product, brand, or market you want to analyze.

• Example (Apparel-Outerwear Market): Padded jacket, Coat, Outerwear, Fleece, Jacket, Jumper, Cardigan, Shearling coat, etc.
• Example (Pet Health Insurance Market): Pet insurance, Dog insurance, Cat insurance, Dog health checkup, Cat health checkup, etc.
• Note: You can also include your own brand and competitor-specific keywords.

② AI-Powered Automated Analysis

Based on your seed keywords, the system automatically performs the following tasks:

1. Relevant Keyword Collection: Gathers all related search terms.
2. Data Cleaning: Filters out irrelevant keywords or those with zero search volume.
3. Brand Identification: Detects and categorizes specific brands mentioned.
4. CDJ Stage Classification: Maps keywords to the appropriate stages of the consumer journey.
5. Topic Clustering: Groups keywords into specific themes for each stage.

③ Project Creation

Once you create the project, the AI completes the analysis and displays the final results.

Journey Finder is a feature that analyzes and visualizes the entire process from the moment a consumer first becomes aware of a product or service through search, through the stages of comparison and consideration, and finally to the point of purchase.

Using AI to analyze search data, it provides a Customer Decision Journey (CDJ) Map. Through this map, you can understand the flow of the consumer journey at a glance—from the initial recognition of a need, to searching for solutions, comparing various alternatives, and reaching a final purchase decision.

Furthermore, you can derive insights into what information consumers are curious about at each stage, which alternatives they are comparing, and which brands they are encountering. this helps in developing content and marketing strategies that are perfectly aligned with the customer journey.

Since the graph results in Cluster Finder are constructed based on Google SERP (Search Engine Results Page) data, the update cycle of the SERP directly influences the refresh rate of the results.

For KR data, most SERPs are re-collected within 1 to 2 months. Therefore, you can generally consider the data timeframe of the results to be within the most recent month from the inquiry date. However, please note that some connected keywords may occasionally include data collected within the past year.

Practical Tip:

You can check the exact collection timeframe for a specific keyword by clicking on it. Access the SERP History within the keyword information to identify the precise date of collection.

Cluster Finder is a network graph that visualizes the correlation and search volume between various keywords.

• Circle (Node) Size: The size of each circle is proportional to the search volume of that keyword. A larger circle indicates a higher volume of search demand, helping you immediately identify high-traffic keywords.
• Distance and Position between Circles: The layout and spacing between nodes are determined by an algorithm designed to maximize readability. The physical distance between circles does not carry a specific analytical meaning.
• Highlighted Circles in Cluster Names: When a cluster name is generated, certain circles may be highlighted to represent the group. The size of these specific highlights does not carry analytical significance.

This feature reveals which URLs and domains consistently appear at the top of search results for the keywords analyzed in Cluster Finder. It allows you to identify which platforms have the greatest digital influence on consumers. This data serves as a critical reference for media planning, influencer selection, and determining which e-commerce platforms to enter.

• Note: This data reflects Organic Search results only. Paid advertisements, such as Search Ads or Power Links, are excluded from this analysis.

Strategic Insights & Practical Tips:

• Identify Market Leaders: Pinpoint which specific URLs or domains dominate the search visibility for your target keywords.
• Optimize Media & Content Strategy: Use data on high-impact media outlets and sites to inform your Media Planning, Content Strategy, and Influencer Partnerships.
• Keyword Deep-Dive: Click the ‘+’ button next to any URL to view the full list of keywords that are driving traffic and visibility to that specific page.

① Cluster Graph

• Clusters: Keyword groups bundled by similar search objectives or intents, displayed by color.
• Hub Keywords: Key terms with high connectivity within the entire dataset.
• Connection Lines: Visualizes the relationships and flow between keywords.

② Cluster Resolution Adjustment

Increasing the resolution breaks down a single cluster into more detailed intent groups.

• Example: A cluster of 37 keywords at medium resolution can be split into 61 more specific groups at the highest resolution.

③ Card View

Clusters can be viewed in a card format sorted by Monthly Average Search Volume. This is useful for identifying the priority of core keywords.

④ Cluster/Keyword Exclusion

You can temporarily exclude unwanted clusters or keywords from the results, allowing you to focus only on the data necessary for your analysis.