This post puts MarketMuse Pro and Frase to the test. MarketMuse is a content intelligence platform designed for content strategists and their teams. It helps predict content performance, improve existing content, and create new content faster and better. Frase is a collection of tools that aims to optimize content for answers.
In this post, we look at MarketMuse vs. Frase in terms of:
- Content strategy and planning
- Content research
- Content optimization
- Natural language generation
- Content briefs
Let’s get started!
Content Strategy and Planning
With hundreds, or even thousands, of pages and topics from which to choose, how do you prioritize? This is where machine learning and artificial intelligence can be of immense value to content teams of all sizes.
Content Strategy and Planning With MarketMuse
MarketMuse is a content intelligence platform with a deep understanding of your content, its associated topics, and the content of your competitors. With the help of personalized content metrics, you can create AI-driven content plans with high confidence that they will succeed. This is possible because MarketMuse maintains a continuous inventory of your site.
Give MarketMuse a topic, and it can determine how well it will perform, should you decide to write content on that subject. It does this by assessing how well you’ve covered the topic in the past, how it has performed, how the competition has fared, and other factors. It uses this to create personalized authority and difficulty scores.
MarketMuse is the first to offer a personalized difficulty score, ever, in the industry.
MarketMuse Opportunity Score is the ultimate power metric. It takes your entire set of live pages and topics, and runs them against all evaluation metrics, classifying each page or topic’s potential growth against each other. This is a personalized metric ranking your pages in order of opportunity available. It helps prioritize which of your pages and/or topics you should work on.
As you make decisions about what new content to create and pages to update, these can be assigned to content plans within MarketMuse. Plans are useful for keeping work organized, tracking what tasks have been done, and creating briefs.
Content Strategy and Planning With Frase
Unfortunately, Frase does not support workflows for content strategy and planning. Although it can crawl your site, its purpose is to index content for use in its Answer Assistant. Also, they do not offer any personalized metrics.
The volume of content published now makes it impossible to research what is truly needed to write a high-quality article. Thoroughly understanding the buyer’s needs, search intent, competitive content, and your own content performance require the help of AI.
Content Research in MarketMuse
MarketMuse extracts massive amounts of data from the web. We pull content from thousands of pages, using natural language processing to determine not only who covers this topic at an expert level, but EXACTLY what you need to do better.
Going the extra mile ensures high-fidelity data resulting in high-quality recommendations. Our topic model suggests 50 related topics to cover for any given subject.
Plus, our Compete Application enables you to quickly research competitive content to understand how well they cover a subject, including their content score, word count, and content gaps.
Content Research With Frase
Frase extracts its information from a limited set of documents, typically the top 20 for a specific search term. Plus, it only provides 20 related topics for a particular subject.
The best content is created with the highest quality data-driven insights. Let’s see how both experiences compare.
Content Optimization With MarketMuse
The MarketMuse topic model is very robust. As a result, the Optimizer application shows 50 related topics for a given subject (focus topic).
MarketMuse Content Score takes into account the proper usage of related topics in competitive pieces across the web. In Optimize your content score is updated live, based on your coverage of relevant topics, as you write. It shows how your content stacks up against the competition.
Every mention of a topic in the related topic list earns a point, with a maximum of two points for each item. Since there are 50 related topics in the list for any given topic, the theoretical maximum is 100.
The Average and Target Content Score section breaks down significant ranges of Content Scores. The Average number shows how comprehensively articles ranking for this term are commonly written. The Target score shows the coverage you want to meet or exceed.
The current Content Score visualization graph displays your progress toward a target content score, showing if your content currently has below average (red), average (yellow), or target coverage (green).
MarketMuse also tracks your word count and shows how it stacks up against the rest of the content performing well for your query. This is the word count of the content you are working in the writing area and changes as you write.
Average and Target Word Counts are derived from extracting content across expert pieces that cover this same topic.
The word count bar shows how close you are to fulfilling the target word count. It will fill up as you write, being filled all the way means the target was hit or exceeded.
Related Topics Table
This table shows the essential topics to include in your article and approximately how often they should be mentioned. The core related topics are ordered by relevance to the focus topic.
Distribution, abbreviated to DIST, shows a range of how often you mention this topic in your piece. Suggested Distribution shows MarketMuse’s recommendation concerning the number of times you may want to mention this topic. Clicking on a related topic in this list reveals a slide-out with variants of that topic you can use to enrich your writing.
Using Frase to Optimize Content
The optimization experience in Frase is much more limited compared to MarketMuse. Here are some challenges faced using Frase:
- There are only 20 related topic suggestions.
- Content score and word count doesn’t automatically update as you type.
- It’s difficult to determine how close your article is to achieving the target content score. No visual indication, the user must calculate the difference themselves.
- No target word count.
- The article word count is tucked away at the opposite end of the screen. Away from all the other data, it’s like they included it as an afterthought.
Natural Language Generation
Artificial intelligence offers content marketers the ability to enhance actual content production, but MarketMuse and Frase take different approaches.
Using the latest advancements in natural language, MarketMuse First Draft creates a preliminary article for a chosen topic based on its corresponding content brief. The draft strives to attain all the essential content metrics while requiring minimal editing. The content created is unique, so the output can be used as is, without duplicate content and plagiarism concerns.
Frase uses extractive summarization (a natural language processing technique) to create summaries of existing articles. This technique attempts to determine the most important sentences in a document and put them together to form a summary.
Use the Frase summarization output, and you expose your site to issues of duplicate content and plagiarism.
The purpose of a content brief is to give writers detailed and structured guidelines so they can create better content, faster and with less editing.
Frase Content Brief
Looking at a content brief from Frase, the first impression is that they are very lengthy, long on observations, and short on actionable insight. With no structure and very little guidance, writers need to be well-versed in SEO in order to avoid making common mistakes, like linking out to the competition.
We’ll analyze each section as they appear in this example brief.
Based on the title, one can assume this section provides a rundown of the content brief. There are six data points covered in this section.
Total sources processed: It’s not clear what value this has to a writer. Note too that nine sources is a very small collection of documents to analyze and offer suggestions on how to best cover the topic. MarketMuse uses a much larger corpus (collection of documents) for its topic modeling and recommendations.
Avg. source length: It’s helpful knowing the average. But what targe word count should the writer aim for?
Avg. links per source: Are these links to external and internal pages? What’s the implication?
Title topics: Telling the writer that ‘at least 2 sources mention Search Engine Optimization in their titles’ is an observation, not an insight. It’s not clear this is a recommendation to include that term in the title.
Must include topics: The brief states that ‘most source mention’ a list of eight phrases ‘over 2 times.’ Again another observation, but is this a recommendation. The implication here is that frequency corresponds to relevance, however that is not true. Relevance is a determination of the lexical or functional association between two concepts.
Top Links: Yet again, this is just an observation that more than one source has linked from this list of domains. Does that mean I should link out to these sites? If linking is done incorrectly, you could be helping these competitors to rank better. Big mistake!
There’s no indication; however, one can assume the nine items in this list are the sources used to create this content brief. Once again, this is an observation and not a recommendation. If the suggestion is to derive content based on these documents, then that is a short-sighted and poor piece of advice.
This is a limited list of 20 topics based on a limited analysis of nine documents. Using such a small corpus results in data quality and fidelity issues, with a topic list that doesn’t tell the full story.
Highlights for top topics
In this section, every topic has a summary from one or two of the sources. Again, the value offered is not clear. If it’s a way to learn about these topics quickly, then it’s a disaster. The summarizations frequently fail to convey the necessary knowledge.
These statistics come from sentences, with a numerical percentage, scraped from the sources. For example, one of their ‘statistics’ is “It’s a 100% FREE no obligation offer to chat with one of our experts.” This section could be useful if it weren’t for the fact it’s so dangerous.
The way this is structured, writers will most likely copy these statistics and link out to the source mentioned. There are two problems with that:
- You’re linking out to your direct competition, which is never good.
- You’re not linking to the original source, which is sloppy journalism.
This section contains summaries of each source, including the posts’ featured image. These images serve no apparent purpose and take up valuable space.
What’s the reasoning behind these summaries? They’re used in a couple of places in the content brief and elsewhere on the platform. It seems that it’s more like a solution in search of a problem.
They’ve learned how to do extractive summarization, and now they’re trying to use it everywhere. Just because you have a hammer doesn’t mean everything is a nail.
More important is that the inclusion of these summaries implies that one should create a new article based on these sources. This approach will not result in expert content, but rather me-too content, of which the web has enough!
This section is a list of 50 links divided among ten different domains. There’s no suggestion of what anchor text to use, leaving it wide open to interpretation. Once again, the risk is that you link out to SERP competitors using highly relevant anchor text. This is still a big mistake!
MarketMuse Content Brief
A MarketMuse Content Brief consists of three sections; the executive summary, outline brief and Optimize. There are two types of content briefs; one for creating new content and another for updating an existing page. Both are very similar, but briefs for existing pages take into account the content that already occurs on the page.
Anyone can access a specific MarketMuse Content Brief through a shared link like this https://briefs.marketmuse.com/5dcea032113fd495b1b14c66.
Let’s examine each section to understand their purpose and function better.
As its name implies, the executive summary provides a marketing executive with the background necessary for why this content should be created and how it will be done. The summary opens with information about the target score, potential increased monthly views, and suggested word count, along with a description of what these indicators mean.
Determine ideal user Intent and audiences.
This section explains who the audience is and why they are searching for this topic.
Discover questions to answer when you’re writing.
This section looks at some relevant questions surrounding this topic so you can make sure your content is focused on what’s important to your audience.
Choose your article title.
Here we see several titles that are ranking for the topic plus suggested terms to include in your title to set yourself apart.
Find the most relevant subheadings.
Similar to the previous sections, you see subheadings that rank for this topic plus some terms that you should include to differentiate your post from the competition.
Terms that can guide your content toward topical authority.
A list of all the relevant subtopics related to the subject. The size of this varies with the number of subheadings and target word count.
Link to external and internal pages
Suggested links and anchor text for the most appropriate internal web pages. Same thing for external links, but these are to non-competitive sites.
Information in the Outline Brief is designed to help writers create better content faster. This includes an article structure complete with subheadings so that writers spend less time on research and get more done.
Suggested Word Count
On the right side of the brief is a suggested word count based on the average and taking into account the target word score. Each section also has a recommended word count displayed as a percentage of the total word count. This gives writers an idea of how much space to devote to a subsection without getting side-tracked in meeting a specific word count target.
Suggested Title and Title Variants
One suggestion is provided along with several variants should the writer wish to refine the title further.
This is a list of subtopics to mention, some of which can be included in the article’s introduction. ‘Suggested Dist.’ refers to the number of times to mention a topic without it appearing awkward and unnatural.
A MarketMuse Content Brief typically contains several subheadings. Each one follows the same format:
- Suggested subheading
- Suggested word count for that section (expressed as a percentage of the total word count)
- Questions to answer
- Topics to mention including their suggested distribution
- Internal link with anchor text (the anchor text is a highly relevant topic while the suggested link is a page that’s a good match for that topic)
- External link (the anchor text is a topic with lower relevance with a suggested link of high authority and quality)
Note that each section has its own set of related topics. While there is some overlap between the sections and the main topic, the resulting list is typically two-and-a-half times more extensive than what’s found in a Frase content brief.
External links are chosen based on anchor text with low topical relevance for a special reason. We want to link to a high-quality, authoritative source that’s not in direct competition with the topic our article targets. This is achieved by choosing topics that are adjacent to the central theme, thus providing value to both the audience and search engines while helping to achieve the goals of the article as well.
The third tab in this shareable MarketMuse Content Brief is Optimize. It works just like the Optimize app, except it’s prepopulated with topics from the brief. Writers can use this in two ways:
- Craft the article directly in Optimize (content score and word count automatically updates as you write)
- Create a post using your favorite word processor and then check it with Optimize prior to submission
MarketMuse offers many workflows designed especially for content strategists and their teams. AI-driven content plans, highly structured and details content briefs, plus MarketMuse First Draft (natural language generation), means content teams can do more, better, and faster.
Frase has a limited number of workflows and suffers from data quality and fidelity issues. Their content briefs are deficient across several areas and fail to improve the content creation process substantially.