AI bots are learning patterns from our websites. So, we need to know what types of patterns those bots are likely to find. One way to do this is with topic modeling.
BERTopic is a powerful AI-driven technique for topic modeling that helps us find patterns in our unstructured website content. This will find and model the various topics that exist within our website’s content.
By using BERTopic, we can automatically identify and group related topics within our website’s content. This allows us to:
- Understand Content Themes – Identify what topics our website covers and how they evolve over time.
- Discover Gaps & Opportunities – Spot missing or underrepresented topics that could be valuable for content strategy.
- Optimize SEO & Engagement – Align content with user search intent and engagement trends.
- Compare with Competitors – See how our website’s topics relate to other websites in our industry.
One of the most valuable outputs from BERTopic is a topic map, which visually represents the relationships between different topics.
This map helps us understand content distribution, spot gaps in coverage, and refine SEO or content strategies. An example is attached…
- Each circle represents a topic detected in the content. Larger circles indicate topics with more content associated with them.
- Distant circles show distinct topics, meaning they do not overlap significantly with other topics. These could be niche or specialized subjects covered on the website.
- Clusters of circles indicate related topics, suggesting areas where the content covers multiple aspects of a similar theme.
- Dense regions suggest overlapping themes. This might indicate that certain topics are heavily interlinked or that there is duplication we should resolve.
Topic modeling also surfaces content that cannot be understood at all, resulting in no topics assigned. This can be a way to help detect areas to improve on our websites.
Check out this quick start guide to BERTopic topic modeling.