Documentation

BlogTracker helps you follow online blog discussions in one place. You create a tracker, add sources, and the platform shows patterns like major themes, tone, narratives, and activity over time.

BlogTracker starts collecting and processing content automatically in the background. You can keep using the app while it works, and your analysis pages fill in as results become ready.

You can explore cluster analysis, narrative analysis, sentiment, posting frequency, topic distribution, blog and blogger distribution, morality analysis, keyword/word-cloud views, and influence-related insights.

BlogTracker keeps the post text and basic details like source and publish date. It also adds analysis results such as sentiment, themes, and other insights used in dashboard views.

Most users can view everything directly in the dashboard and deep-analysis pages. If your team also uses integrations, your admin or developer can connect through the app's API.

You will see loading/progress indicators in the analysis pages while results are being prepared. If a section is still empty, it usually means processing is still in progress.

You can track blog-style content sources, including sites that provide feed-based updates. Once a source is added, BlogTracker keeps collecting new posts for your tracker.

Yes. You can use the reporting and export options to save and share findings. Many analysis screens are designed for easy filtering and presentation.

The app uses AI models behind the scenes, and your organization can choose how they are configured. As a user, you can focus on the analysis results shown in the interface.

First, confirm your tracker has active sources and recent posts. Then refresh the analysis page after a short wait, since processing runs in the background. If results still do not appear, contact support/admin with your tracker name and time of issue.