Keyword Research Tools
Go to the Research application and enter a relevant topic or keyword. MarketMuse will create a topic universe of related keywords, topics from its Topic Model, topic variants, and question to answer. It provides ranking information and personalized metrics to help you prioritize, SERP information so you can understand intent, competitive information to help differentiate your content, and linking suggestions so you can connect your pages together into a cluster.
You can search for various types of keywords in MarketMuse, including short, simple terms like “marketing” or “SEO,” multiple-word phrases like “content marketing strategy” or “best SEO practices,” and more specific phrases, like “how to write a blog post for SEO.” You can also explore terms suggested by MarketMuse based on your initial search.
MarketMuse keeps track of your site’s pages and topics and presents this information in a table with dozens of data points. You can create complex searches by filtering for any combination of items. Filters can be used to include or exclude data and contain sophisticated conditions. See Filters.
Yes, you can export keyword data to a spreadsheet in MarketMuse. This allows you to analyze and manipulate the data further using tools like Excel or Google Sheets.
Keyword Analysis
Personalized Difficulty and Topic Authority, in combination, can help you prioritize your opportunities based on the amount of effort required and likelihood of success. See Personalized Difficulty and Topic Authority.
Keyword intent refers to the underlying reason why someone searches for a particular keyword. Understanding keyword intent is critical for creating relevant content that effectively meets the needs of your target audience and performs well in Search. MarketMuse offers both SERP intent and explicit user intent.
MarketMuse can help you identify long-tail keywords in several ways. They can appear in the topic model, topic variants, related keywords, and questions. MarketMuse can also surface these during a cluster analysis, content plan, or content brief.
Yes, MarketMuse can suggest related keywords based on your initial search. When you enter a topic or keyword, the platforms generate a list of related terms that your target audience might be searching for. This can help you expand your keyword research and discover new opportunities for your content.
Keyword Clustering
Keyword clustering is the process of grouping related keywords together based on their semantic relationships. This helps you organize your content strategy and identify potential topic clusters for your website. By clustering keywords, you can create a more cohesive and focused content structure that is easier for both users and search engines to understand.
The fastest, easiest and most insightful way of clustering keywords with MarketMuse is by creating a Cluster Analysis document. MarketMuse creates the clusters, shows what existing content on your site maps to those clusters, and conducts competitive analysis to provide you with a plan of how much content you need, what to create and what to update.
Keyword clustering can help you organize your content strategy by creating a more cohesive and focused structure that is easier for both users and search engines to understand. It can help improve your website’s visibility in Search by demonstrating that your content is well-organized and relevant to specific topics.
Keyword Optimization
Create a MarketMuse Optimize Brief to help you improve an existing page. It contains everything you need to understand why and how that content will be created. This includes target personas, pain points, content focus, key features, SERP and user intents, funnel stage, Content Score, Word Count, keyword cluster, existing content cluster, MarketMuse Topic Model, important topics, competitive gaps, market share analysis, SERP analysis, questions to answer, content structure and layout recommendations, quality and claims analysis, and linking recommendations.
Keyword density is the number of times a specific keyword appears in a piece of content, relative to the total number of words. It’s a metric that was once used to measure how well a piece of content was optimized for search engines. That’s no longer the case. In fact, Over-optimizing your content with keywords can actually harm your rankings, as it can make your content appear unnatural and spammy. Instead of focusing solely on keyword density, MarketMuse encourages creating high-quality, informative, and engaging content that naturally includes your target keywords. Focus on providing value to your audience, and let the keywords flow naturally within your content. See Content Optimization: Understanding Mentions, Topic Depth, and Topic Breadth.
Use the Optimize application whenever you’re creating new content or improving an existing page. It can alert you to situations like this.
Absolutely! By analyzing your content, MarketMuse can suggest additional topics to cover on a page, helping you create relevant content that is both human-readable and search engine-friendly.
Competitor Keyword Analysis
You can use Heatmap to compare against the Top 20 in the SERP or perform a head-to-head comparison with an individual page from that group. Users on the Strategy plan and above can analyze keyword usage and perform cluster analysis for any site they choose.
Yes, by using the Heatmap you can identify gaps in your SERP competitors or any other website (available with Strategy plans and above).
MarketMuse Heatmap shows you where there are gaps in topical coverage among the top 20 for the keyword you’re researching. Use this insight to help your content stand out from the crowd. See How to Conduct Competitive Content Analysis Using MarketMuse
Ranking data from Inventory is historical, so make sure you look in Research. Also, keep in mind the following. Even if you’re using incognito mode, search results can vary across different computers due to several factors:
Personalization: Google tailors results based on your search history, location, device, and browser.
Algorithm Updates: Google’s algorithm is constantly evolving, leading to changes in rankings which can at times be volatile.
Server Load and Network Conditions: Server response times and network congestion can affect how results are served.
Incognito Mode Limitations: While incognito mode helps with privacy, it doesn’t fully mask your IP address or location.
These factors combined can lead to different search results, even for the same query.