When you perform keyword analysis with LowFruits, the tool organizes keywords into clusters based on their semantic relationships and shared search intent.

This clustering allows you to see related keywords grouped together, helping you to focus on broader topics instead of isolated keywords, which can streamline content planning and production.

The clustering feature simplifies the structuring of your content strategy, ensuring comprehensive coverage of entire topics.

Additionally, LowFruits lets you export keyword lists with their clustering information, making it easier to manage and track your content strategy and identify which clusters to focus on for content development.

For more detailed insights into how keyword and topic clustering works, check out our article here:

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This method requires having the SERP extracted for the keywords.

To be grouped, keywords must have at least a 40% overlap in their URLs (default threshold).

When you click on the cluster title, you'll see a list of the keywords included in that cluster and a percentage sign indicating the similarity of their top 10 search engine results pages (SERPs) with the main keyword.

Clustering is done using live search results data, so you can be confident that you're getting the most up-to-date insights.

PS: You can adjust the percentage of URL overlap required for keywords to be included in the same cluster (see settings) and the number of search results to consider.

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When crafting an article using a keyword cluster, follow these guidelines to effectively utilize both primary and secondary keywords:

1. Focus on the Primary Keyword: Identify the primary keyword in the cluster, which is the one with the highest search volume. This keyword should be the central focus of your article, guiding the main topic and content flow.
2. Include Secondary Keywords: Integrate the other secondary keywords from the cluster into the same article. These keywords can enrich the content by covering subtopics, additional points of interest, or common questions related to the primary keyword.
3. Separate Articles for Strong Secondary Keywords: If a secondary keyword has significant potential on its own or warrants a detailed examination, consider writing a separate article for it. Make sure to link this new article back to the main cluster article, enhancing internal linking and site navigation.
4. Improve Content Structure: Use this approach to optimize the organization and structure of your content, ensuring it's comprehensive yet focused. This technique helps spread authority across pages and provides readers with easy access to a variety of related topics.

By treating each keyword cluster strategically, you can produce more comprehensive and engaging content that enhances overall website cohesion and effectiveness.

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1. Keyword Organization: Clustering similar keywords together makes it easier to organize and review your keyword list, streamlining your content planning.
2. Avoiding Keyword Cannibalization: Clusters help prevent multiple pages on your website from inadvertently competing for the same keywords in search results, known as keyword cannibalization.
3. Comprehensive Content Coverage: By covering a broader range of topics and questions with each article, clusters enable you to more thoroughly address user search intent, potentially improving your chances of ranking.

Overall, keyword clusters streamline your keyword research and content planning, enabling you to create more effective, targeted content that better meets the needs of your audience.

The post What are clusters and why are they useful? first appeared on LowFruits.

1. Unified Targeting: By grouping related keywords into a cluster, you can target them on a single page, leveraging Google's tendency to provide similar SERPs for these keywords. This allows you to make a single, comprehensive article the main focus with secondary keywords supporting the content.
2. Focused Content Creation: When a secondary keyword has substantial content potential, it may warrant its own page. In such cases, creating a standalone page allows you to delve deeply into the topic, offering value to your audience.
3. Strong Interlinking: For standalone pages, interlinking with the main (pillar or cornerstone) page is crucial. This signals to search engines that the pages are related, helping to improve their visibility in search results as part of a comprehensive coverage of a topic.
4. Enhanced SEO Performance: Clusters can prevent keyword cannibalization by clearly defining which keywords belong together, ensuring each page serves a unique purpose, and improving overall site organization.

Incorporating clusters into your content strategy allows you to create more organized, targeted, and effective content that aligns with both user intent and search engine algorithms.

The post How do clusters help my content strategy? first appeared on LowFruits.

1. URL Overlap: A high percentage indicates that a significant portion of the top search results for the main keyword and secondary keywords share the same URLs. This suggests the keywords are closely related and could be targeted in the same article.
2. Low Overlap Strategy: If the overlap percentage is low, consider writing separate articles for the keywords with low overlap. Linking these separate articles back to the main cluster article can help improve content organization, focus, and the overall structure and navigation of your website.

Understanding and strategically using this percentage helps ensure that your content efficiently targets multiple related keywords while maintaining clarity and relevance for your readers.

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1. No SERPs Extracted: Clustering relies on data from extracted SERPs. If no SERPs have been extracted for your keywords, there won't be enough information to form clusters.
2. Keywords Don't Align with Clustering Settings: By default, keywords need to have at least 40% shared URLs in the top 10 SERPs for clustering to occur. If your keywords don't meet this requirement, clusters might not be formed.

Adjusting your approach to ensure you have extracted SERPs and that your keywords are suitable for clustering based on shared URL criteria can help generate the clusters you need.

The post Why are there no clusters? first appeared on LowFruits.

Analyzing keywords also invalidates the clusters as there's new data to take into account.

We suggest you complete the report tasks, such as analysis and hiding keywords, before initiating clustering once you're satisfied with the report's outcome.

The post Why are clusters reset when I hide or analyze a keyword? first appeared on LowFruits.