> For the complete documentation index, see [llms.txt](https://help.seoon.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.seoon.io/seo/keyword-research.md).

# Keyword research

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Who can use this feature?

* This feature is available for all users
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### What is Keyword Optimizer?

Keyword Optimizer is a powerful feature in Avada SEO Suite that helps you analyze and optimize the keywords in your blog posts to improve search engine visibility. It allows you to track keyword density, add related keywords, and conduct keyword research to ensure your content meets SEO best practices.

### Why use Keyword Optimizer?

Search engines rely heavily on keywords to understand what your content is about.&#x20;

Optimizing your keywords helps:

* Increase your content's visibility in search results
* Attract more targeted organic traffic to your store
* Ensure your content meets SEO standards
* Identify opportunities to improve content relevance

### What does it help with?

Keyword Optimizer provides three core functions:

1. **Keyword density analysis**: Show the frequency and distribution of keywords in your blog post, helping you avoid keyword stuffing while ensuring sufficient keyword coverage.
2. **Related keywords management**: Suggest additional relevant keywords for your content based on your main keyword, with recommendations
3. **Keyword research**: Analyze your chosen keywords to determine their search potential and competitiveness, helping you select the most effective keywords for your content.

### How to use Keyword Optimizer

#### Manage primary keyword and related keywords

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#### Go to blog editor

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#### Go to keyword optimizer

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#### Enter your main keyword

Your main keyword will automatically appear in the "Main keyword" section.
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#### Analyzing keyword density

Use this information to ensure your main keyword and related terms appear naturally throughout your content without overuse

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#### Go to blog editor

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#### Go to keyword optimizer

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#### Check keyword density

View the keyword density breakdown, which shows:

* Top 10 most frequently used words or phrases in your content
* Frequency count for each keyword or phrase
* Density percentage for each keyword or phrase

You can change between table view and chip view.
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<figure><img src="/files/105oODpxQdIOzR9odFBI" alt=""><figcaption></figcaption></figure>

#### Conduct keyword research

{% stepper %}
{% step %}

#### &#x20;Go to blog editor

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#### Go to keyword optimizer

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#### Click "Keyword research" next to your main keyword.

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#### Enter keyword

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#### Select language & location

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#### Click Explore

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#### Check keyword information

* Search volume: How often people search for this term
* Competition level: How difficult it might be to rank for this term
* Related search terms: Other keywords people search for about your term
  {% endstep %}

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You can **set keyword as main keyword** or **add to related keywords**
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<figure><img src="/files/NwU1WAa6LPkPzTh7PkjT" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://help.seoon.io/seo/keyword-research.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
