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SERP Analysis
When a document has a keyword associated, NeuralText will automatically perform a Google Search for that keyword and analyze all the pages ranking in the first 20 positions.
The data we got from these pages are organized in a section called SERP Analysis.
You can find these data in the sidebar under the magnifier icon.
When creating a document, if you fill the "keyword" field NeuralText will analyze the search results for that query in real-time.
When a document has a keyword, the editor will have automatically the SERP Analysis section expanded in the sidebar.
The results section will show the pages ranking for the main keyword and their content structure.
If you click on the header inside the content, you will see the text in that paragraph.
This is a time-saving feature because you don't need to open each page in a new tab!
This section will show you statistics extracted from Top 20 search results for the main keyword.
Including statistics in your content make it more compelling. And when your content is more compelling, your readers are more likely to stay engaged.
In this section you will find the questions extracted from pages ranking for the main keyword.
When analyzing search results, NeuralText will extract all the relevant topics from the titles, the headers and the main content to create a topic model of the SERP.
What do the colors mean in the topics section?
While you are writing, you could notice that the colors in the topics section will change.
Grey: you are not using that topic in the document.
Yellow: you are using a topic below the average and you should use it more in the document.
Green: your usage for that topic is okay.
Red: you are using that topic too much in the document and you are stuffing keywords.
This is a list of all topics found in search results. They are ordered by importance to the whole topic model.
Clicking on a topic will show how competitors have used that topic.
As you write the topic count will update, showing how your document is doing compared to the topic model.
In this section you will see all subtopics extracted from the search results grouped together.
The topic cluster are ordered by total contribution to the overall topic model.
Clicking on a children topic will show how competitors have used that sub topic.
This is extremely useful to quickly see what are the main topics covered by competitors.
SERP Scores represent how much competitors have optimized their content, based on the topic coverage.
NeuralText allows you to check what are the most frequent topics in the headers (H1, H2, H3 and so on).
This is useful to create an outline for your content.
Clicking on a topic will show some example uses from competitors.
NeuralText allows you to check what are the most frequent topics in the titles found in SERP.
This section is extremely useful to understand what is the search intent for the main keyword.
Clicking on a topic will show some example uses from competitors.
This section shows you the popular variations of your initial seed term along with search volume, trends data and difficulty.
Including related keywords will cost 1 keyword report credit.
But if you have previously created a keyword report with the same seed keyword, you will not be charged.
When creating a document, tick the "Include related keywords" checkbox to include related keywords.
Understanding what are the pain points and the questions of your audience is fundamental to create an appealing content.
Currently, NeuralText gets questions from Quora but we plan to add more sources.
Clicking the Quora icon in the source column will open the original question in a new tab.
Last modified 9mo ago