# Content Score

Optimizing as you write is one of NeuralText's most popular workflows.

The Content Score updates in real-time as you write. This means you can ensure right away that everything you draft inside NeuralText will be SEO-friendly with NeuralText's content and optimization features.

<figure><img src="/files/m6EvREiHfSbDR3fDtLV3" alt="" width="375"><figcaption></figcaption></figure>

### 1. Content Score <a href="#content-score" id="content-score"></a>

The content score suggests how this article is optimized for the target keyword.

### 2. Word Count <a href="#word-count" id="word-count"></a>

Word count is not a ranking factor, but it can be useful to understand quickly how long your content should be.

### 3. Topic Score <a href="#topic-score" id="topic-score"></a>

The topic score reflects your coverage of the topics found in SERP for your article.&#x20;

If you don't know how to cover a topic, dont' worry! Whenever you click on a topic from clusters, subtopics, headers, or titles section, you will see examples of how to use that topic.

### 4. Readability <a href="#readability" id="readability"></a>

The readability score indicates how easy it will be for someone to read this text. It's not required to reach a high score at all costs, but in the majority of cases can help.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.neuraltext.com/feature-guides/content-optimization/content-score.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
