To identify which integration pages lost the most citations in DeepSeek, navigate to the Citation Intelligence dashboard within Trakkr. Apply a platform filter to isolate DeepSeek data and use page-type categorization to focus specifically on your integration URLs. By setting your date range to the last 30 days, you can compare current citation rates against previous performance. Sort the resulting list by the visibility change metric to highlight pages with the largest negative delta. This workflow allows you to pinpoint exactly which integration pages require immediate content updates or technical audits to regain lost visibility across AI answer engines.
- Trakkr tracks how brands appear across major AI platforms including DeepSeek.
- Citation intelligence capabilities allow teams to find source pages that influence AI answers.
- Trakkr supports repeatable monitoring programs rather than one-off manual spot checks.
Isolating Citation Trends for Integration Pages
The first step in diagnosing performance drops involves narrowing your dataset to specific page types. By focusing on integration pages, you can filter out noise and concentrate on the content that matters most for your technical documentation.
Trakkr provides granular control over your data views, allowing you to isolate DeepSeek activity from other platforms. This ensures that your analysis remains relevant to the specific answer engine where you have observed a decline in citations.
- Navigate directly to the Citation Intelligence dashboard to begin your analysis
- Apply the platform filter to isolate all relevant DeepSeek citation data
- Select page-type filters to view only your integration-related URL structures
- Verify that your current view is limited to the specific integration pages
Analyzing Citation Loss Over the Last Month
Once your view is filtered, you must perform a comparative analysis to identify the scale of the citation loss. Setting a consistent date range allows you to see how your integration pages have performed over the previous thirty days.
The visibility change metric is essential for identifying which pages have experienced the most significant drops. By sorting your data by this metric, you can quickly prioritize the pages that need the most urgent attention.
- Set the date range to the last 30 days for accurate comparative analysis
- Utilize the visibility change metric to sort pages by their negative delta
- Identify specific integration pages that show the highest volume of lost citations
- Export the list of affected URLs to track your recovery progress over time
Taking Action on Lost Citations
After identifying the pages with the most significant losses, you should conduct a thorough audit of the content. Ensure that the text remains relevant to the queries that typically drive DeepSeek to cite your integration documentation.
Technical accessibility is also a critical factor in how AI platforms perceive your pages. Check for any crawler behavior issues or formatting changes that might prevent the AI from successfully indexing and citing your content.
- Audit page content to ensure it remains highly relevant to current AI prompts
- Check technical accessibility and crawler behavior for all affected integration URLs
- Update content to better align with the specific queries driving DeepSeek answers
- Monitor the impact of your changes on future citation frequency within Trakkr
How does Trakkr distinguish between different page types like integration pages?
Trakkr uses advanced categorization to identify and group different page types based on their URL structure and content patterns. This allows you to filter your reporting specifically for integration pages, documentation, or other key assets.
Can I automate alerts for when my integration pages lose citations in DeepSeek?
Trakkr is designed for repeatable monitoring and reporting workflows. While you can monitor visibility changes over time, you should check the platform documentation to configure specific notification settings for your integration page performance.
Why might my integration pages lose citations even if the content hasn't changed?
AI platforms frequently update their models and ranking criteria, which can shift which sources they prefer. Additionally, technical crawler issues or changes in competitor content can impact your visibility even when your own pages remain static.
Does Trakkr provide historical data to compare citation performance beyond the last month?
Yes, Trakkr supports monitoring visibility changes over time. You can adjust your date ranges within the platform to compare current performance against longer historical periods to identify long-term trends in your AI visibility.