Scrunch recommends monitoring AI search trend data like brand mentions and citations consistently over 2-3 week periods to identify real trends versus one-off changes.

For example, imagine a Scrunch user wants to see if Q2 performance improved over Q1 for their HR software.
They’d navigate to the appropriate tab in Scrunch to view brand presence, competitive presence, prompt placement, sentiment, or citations and customize their date range to view Q2 data.
Next they’d change their date range to match Q1 data and compare the numbers to see how much AI search visibility improved or declined.
Additionally, they could analyze brand presence side-by-side with competitors as a line chart visual.
If AI search visibility is declining, Scrunch recommends:
Checking Insights for issues
Navigate to the Insights tab, where Scrunch automatically flags problems related to content relevance, metadata inconsistencies, and other potential issues.
Identifying citation gaps
Use Scrunch to review which competitor or third-party websites AI platforms are citing to discover content gaps or optimization opportunities.
Prioritizing fixes
Update or create content that aligns with dominant sources AI models trust and aim to get mentions in cited sources. Start by focusing on one or two high-priority topics.
If technical issues exist: Users should verify that AI user agents can crawl their websites by checking robots.txt files and ensuring pages load properly for automated visitors.