About topics in Content Intelligence
Topics are automatically generated, high-level categories that group related pages on your website. They are the core mechanism you use to stress-test your website content and prepare it for AI-driven search engines (like ChatGPT).
How are topics are created?
During the initial audit of your site, the system analyzes and tags every page, clustering the content into 10 to 20 natural topic areas.
In the case of a University website, you might expect to find topic areas such as:
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Student life
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Undergraduate programs
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Financial aid.
Topics such as these examples are built from a series of related tags that the service creates.
You can review and rename these topics, or adjust their tag groupings so they match your organization’s priorities and structure.
What insights can topics reveal about my content?
Topics play an important role in Content Intelligence by surfacing these primary insights and opportunities:
- Your true content footprint
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Automatically slicing your site into topics helps you understand what your website actually covers. This content categorization often reveals content gaps and overlaps that your marketing and web teams were not aware of.
- Critical quality issues
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By auditing at the topic level, the platform can identify specific, systemic problems that impact your AI discoverability and human user experience.
Issues such as conflicting information across pages, vague language, or missing details can be presented in an understandable way through topics.
- Manageable content improvement cycles
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Instead of being overwhelmed by an audit of thousands of pages all at once, topics allow you to tackle content health challenges in one specific area at a time.
Once a topic is actively monitored, it is continually rescanned so you can continue to monitor a topic area for potential improvements and prioritize the highest-impact fixes so your content remains highly authoritative.