# Optimize existing content
Creating new content gets a lot of hype, but some of the fastest ranking gains come from improving what already exists. A page that already has search history, backlinks, and indexed content responds to optimization faster than a brand new page ever will. This article walks you through how to bring existing content into Frase and get actionable improvements in minutes.
### Two Ways to Import Existing Content
#### Through New Article
Click the green **+ New Article** button in the top left and select **Optimize Existing**. You'll be taken to an import screen where you can choose how to bring your content in:
* **Paste Content** — Copy and paste text or rich HTML directly from any document.
* **From URL** — Import from a live webpage. Frase pulls the content directly from the published page.
* **From** [**Notion**](https://docs.frase.io/integrations/connectors/notion) — Import from your connected Notion workspace.
* **From** [**Google Docs**](https://docs.frase.io/integrations/connectors/google-docs) — Import from Google Docs using your connected account.
#### From Your CMS Posts
If you have a [CMS integration](/integrations/cms-publishing/frase-cms.md) connected, there's a faster path for importing published articles in bulk.
Go to the **Content** tab in the left sidebar. You'll see three tabs across the top of the content view: Articles, Briefs, and **CMS Posts**. Click CMS Posts and Frase will display all of the articles currently published on your connected site, along with their word count and health status.
Find the article you want to work on and click **Import**. It opens directly in the editor, ready for analysis.
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This is especially useful when you're working through a backlog of existing content systematically — you can see everything in one place and pull in articles one at a time without leaving Frase.
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### Understanding Your Content Scores
Once your article is open in the editor, look to the right sidebar. You'll see your **Overall Score** — a combined optimization score that reflects how your content is performing across all three dimensions. Beneath it, Frase breaks that overall score into three individual content scores:
* **EEAT** — Google's quality rater guidelines. This measures whether your content demonstrates expertise, experience, authoritativeness, and trustworthiness. Things like author credentials, citations, and content depth all contribute here.
* **GEO** — How easily AI systems can extract, trust, and cite your content. This score evaluates quotability, structure, definitions, key takeaways, and citable data.
* **SEO** — Traditional search engine signals. Keyword placement, meta tags, content structure, and readability all feed into this score.
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Each score runs on a 0 to 100 scale and updates in real time as you make changes. You can expand any of the three scores to see exactly which components are contributing to it and where the gaps are. [This article](https://docs.frase.io/feature-reference/content-scores-explained) goes into more detail.
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#### Getting Improvement Suggestions
Click the green **Improve Score** button below your overall score. This opens the **Content Diagnostic** panel, which gives you a detailed breakdown of what's holding each score back and what to do about it.
At the top of the panel you'll see your component scores across EEAT, GEO, and SEO — each broken down into specific signals. For example, GEO is composed of Quotability, Structure, Definitions, Takeaways, and Citable Data. If Quotability is at 48% while Definitions are at 95%, you know immediately where to focus.
Click the **Improve** button to optimize the score. From there, you have two ways to act on what you find:
#### AI Rewrite
Hands the improvement plan to Frase's AI to work through on your behalf. This is the fastest path to a meaningfully higher score and works especially well when you're moving through a backlog of articles and want to make progress without editing every piece by hand.
#### Manual Tips
A curated list of specific, actionable recommendations you can implement yourself. Each tip is labeled with its priority level (High, Medium, or Low), which score it affects, and how many points it's worth. For example:
* *Add citations and expert sources* — Reference authoritative sources, include expert quotes, and cite reputable publications or studies. (+20 EEAT points)
* *Add data and statistics* — Include specific numbers, percentages, and research findings to demonstrate expertise. (+17 EEAT points)
* *Write quotable statements* — Create clear, factual sentences between 10 and 35 words that AI systems can easily extract and cite. (+13 GEO points)
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This tab is particularly useful when you want full editorial control, or when a change requires context about your brand or audience that AI can't infer on its own.
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### A Practical Approach to Optimizing a Backlog
If you're working through a library of existing content rather than a single article, here's an approach that works well.
1. Start with your highest-traffic pages. These are the ones where a ranking improvement has the most immediate impact. Use the *CMS Posts* tab to see all your connected articles in one place and prioritize from there.
2. For each article, open the Content Diagnostic and trigger the AI Rewrite first to handle Auto fixes quickly. Then review any AI-assisted changes before they're applied. Finish by working through the Manual Tips marked High priority — these tend to be the improvements that require a human touch, like adding expert citations or writing quotable statements specific to your subject matter.
3. Once an article is updated and republished, turn on Content Guard to monitor its performance automatically so you don't have to revisit it manually. → [*See: Publish and Protect*](/core-workflows/publish-and-protect.md)
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**How do I know which articles to optimize first?** Check your [SEO Analytics](/feature-reference/seo-analytics.md) for pages ranking between positions four and ten. These pages already have momentum and are closest to breaking onto page one. A targeted optimization pass here is usually the highest-return activity in any existing content library.
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