Source: https://manu-s-intercom-test.docs-staging.pageloop.ai/how-pageloop-ai-works

# How Pageloop AI Works

Pageloop AI streamlines the process of keeping your knowledge base up-to-date by automating content updates based on your product changes. This article outlines the core four-step workflow you'll follow to ensure your documentation is always accurate and consistent.

# The Core Workflow

The entire process is designed to be simple and efficient, putting powerful AI tools at your fingertips while keeping you in full control of the final content. Here are the four main steps:

## Step 1: Describe Your Product Change

![Image](../assets/733b5159be5a-screenshot2025-09-18at43544pm.png)

The process begins when you provide Pageloop with the details of a recent product update. This is typically done by providing a Product Requirements Document (PRD) or internal release notes. This source material gives our AI the context it needs to understand what has changed and which parts of your knowledge base might be affected.

## Step 2: Upload Your Style Guide

![Image](../assets/3df8eee94e95-screenshot2026-02-18at71509pm.png)

To ensure that all generated content aligns with your brand's voice, you'll upload your company's style guide. Pageloop uses this guide to match the specific tone, formatting, and terminology your readers expect. This step is crucial for maintaining consistency across all your articles. For more details on setting this up, see our article on [Setting up your Pageloop account](https://intercom.help/pageloop-b54cb61ac5a8/en/articles/11883665-setting-up-your-pageloop-account).

## Step 3: Replace with Updated UI

Once Pageloop understands the product changes and your style requirements, the AI gets to work. It scans your existing knowledge base to find outdated content, screenshots, and procedural steps. It then automatically generates suggestions to replace them with new content that reflects the updated user interface and functionality.

## Step 4: Review, Edit, and Publish

Pageloop never publishes changes without your approval. In the final step, you review all the AI-generated suggestions. You have the opportunity to edit the text, accept or reject changes, and ensure everything is perfect. Once you're satisfied, you can publish the updates directly to your knowledge base, confident that your documentation is accurate and helpful for your users.

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