Content analysis and better ranking

Does a writer really need software to tell them how to write in order to rank higher in Google? Content analysis software and services provide information about your content that can help you make better content decisions as well as identify potential issues.

The software draws attention to the models. But some programs aggregate the top 10 or 20 SERP positions, leading to inaccurate conclusions.

The reason is that the search intent may vary within the top ten search results. Different search intentions mean that a phrase may require different answers. Thus, the keywords for the first two or three positions may be different from the following positions.

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Aggregating content analytics between sites that deal with different search intents can result in less useful information.

SERP content analysis software used in local search SERPs can provide useful information. This makes sense because many of these slightly competitive spaces tend to have more consistent search results, where the words associated with the search intent are fairly consistent.

Correlations and models

Models discovered in SERPs, like all other statistical models that can be discovered in SERPs, do not necessarily represent actionable data.

A pattern of using title tag in SERPs for a particular keyword phrase does not mean that the pattern contributed to rankings.

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Patterns exist everywhere. It is therefore good not to attribute too much meaning to them. The reason why sites rank in the SERPs is due to several ranking factors.

Useful content that ranks

Content is considered the most important ranking factor. Yet ties also play a powerful role. Images, user experience, site speed, all of these factors interact.

In my opinion, content analysis software is useful. They can alert you to misuse of words. They can also identify bad grammar or overly complicated sentences. It works together to help make our content more useful. It is not automatic. You still have to look at the statistics and the suggestions and make up your own mind about it.

Keyword Analysis and TF * IDF

The keyword analysis and term frequency * Inverse Document Frequency analysis tools can give you statistical insight into your content. They show you which words are used on a web page and how often.

TF * IDF does not, in my opinion and the opinions of others, give you actionable information about your competitors to help you better position yourself.

“It’s a creative use if it helps them be aware of the terms that competitors are using. “

This type of analysis can be used on competitor pages to understand competitor’s word usage patterns. But don’t use it as an SEO tool in the hopes that imitating the use of the words will help you rank higher.

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For example, if your content unintentionally loses focus and begins to focus on a topic that is irrelevant to the phrase you want to rank for.

Keyword and content analysis software can help you spot patterns of word usage on your own web pages that may be unwanted. These tools can reveal patterns of word usage that are not visible when simply reading.

Staying focused on a topic is especially important for long documents over 2,000 words. Long web pages tend to be repetitive or off topic. Topic drift means that an article that deals with one topic begins to encompass other topics.

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Grammar checking software

Reading notes and good grammar won’t necessarily help you rank higher. But easy-to-understand content tends to be easier for an algorithm to understand, in my opinion. And if the content is easy to understand, you’re more than halfway there to satisfy the most users.

Does content writing software help rankings?

Some content writing software services use deep learning neural networks to generate content strategies based on the analysis of trillions of web pages. This is not what I am talking about.

This article is about analyzing web pages for your own pages and those of your competitors. I don’t believe they will show you models that betray what Google is doing. But they can help you write better content that’s easier for users and algorithms to understand.

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When writing content, it’s important to write for users, not keywords. It’s not always about creating the most in-depth content. It’s not about dealing with keywords on a page.

In my experience analyzing keyword phrases and SERPs, it’s no longer about matching keywords to a web page. This often involves understanding the question the user wants answered and writing content that answers it.

Analyzing competitor content can sometimes better help you understand how your own content may be inadequate to meet user intentions.

Sometimes it can be useful to think about how the user requests a product. Are users specific about what they want? Do they mention sizes or brands? This is where writing to the user and not the keyword, in my opinion, results in higher rankings.

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Jenny T. Curlee

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