Understand how often and where your brand shows up in AI-generated answers across major AI platforms—so you can benchmark visibility, spot gaps, and improve.
Scrunch collects actual AI responses from all major AI platforms and detects explicit brand mentions using regex-based pattern matching that’s verified against continuously updated response datasets. Brand presence is tracked as a binary signal in each response—your brand is either mentioned or it isn’t—so you see how consumers actually experience AI answers rather than just counting citations that happen to include your brand.
What you’ll see in Scrunch: - Brand presence as a percentage across tracked prompts and platforms - Trendlines that aggregate data across all prompt variants over a 90-day window to smooth daily fluctuations - Topic-level views that show presence for specific topics, alongside an overall average across all topics - Side-by-side comparisons with competitors (e.g., brand presence line charts) - Additional context such as prompt placement, sentiment, and citations
To go deeper, read the step-by-step guide: How to track brand presence in AI search.
To distinguish real movement from noise, monitor brand mentions and citations consistently over 2–3 week periods. For quarter-over-quarter or month-over-month analysis, adjust the date range in Scrunch, compare periods (e.g., Q2 vs. Q1), and review: - Overall and topic-level brand presence - Competitive presence and share-of-voice trends - Prompt placement and sentiment shifts - Citations to see which sources AI platforms rely on
If visibility declines: - Check the Insights tab for issues Scrunch automatically flags (e.g., content relevance or metadata inconsistencies) - Identify citation gaps by reviewing which competitor or third-party pages AI platforms cite - Prioritize fixes that align with dominant sources models trust, and aim to earn mentions in those sources - Verify AI user agents can crawl your site (robots.txt and page load for automated visitors)
Scrunch provides analytics to track your brand’s visibility and compare it directly with competitors: - Brand presence vs. competitive presence over time - Share-of-voice trends via side-by-side line charts - Citations analysis to see which brands and sources are shaping AI answers
Practical next steps: - Establish a baseline window (e.g., 2–3 weeks), then track deltas in brand presence and share of voice - Pair presence metrics with citations to connect visibility gains to content and distribution moves - Use topic-level views to prioritize themes where you can most efficiently close gaps
For broader benchmarking ideas, see: What benchmarks or baselines are useful when evaluating AI search performance?
A SaaS brand tracks visibility across its core buying prompts. In Scrunch, it sees the brand appears in 62% of responses across tracked prompts. The team: 1) Switches the date range to view Q2, then Q1, comparing brand presence and competitor lines. 2) Reviews topic-level presence to find high-impact gaps. 3) Checks citations to see which third-party sources influence AI answers and plans content updates to earn coverage in those sources. 4) Uses Insights to resolve any flagged technical or metadata issues.