# About Integrations Frase integrations connect your existing tools and data directly into your workflow, so insights don’t live in silos and publishing doesn’t require extra steps. By linking platforms like [Google Search Console,](https://docs.frase.io/integrations/connectors/google-search-console) [Google Docs](https://docs.frase.io/integrations/connectors/google-docs), [WordPress](https://docs.frase.io/integrations/cms-publishing/wordpress), [our headless CMS](https://docs.frase.io/integrations/cms-publishing/frase-cms), and more, Frase can pull in real performance data, push content where it needs to go, and keep your SEO and content operations aligned in one place. ### Why Integrations Matter Integrations allow Frase to work with your actual content and real search data—not assumptions. With integrations enabled, you can: * Base decisions on verified Google performance data * Identify optimization opportunities tied to live pages * Reduce manual copy-paste between tools * Publish and update content directly from Frase * Keep analytics, optimization, and execution connected The result is a smoother workflow from insight to action, without switching tools or breaking context. {% hint style="warning" %} **If you only connect one tool to Frase, start with Google Search Console (GSC).** This connection powers so much of Frase's audit & content features. Consider it a must! {% endhint %} ### What’s Next In the following sections, you’ll learn how to: * Connect each integration step by step * Understand what data Frase pulls in or pushes out * Use integrations to improve performance and speed up publishing --- # 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.frase.io/integrations/about-integrations.md?ask= ``` 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.