Scrunch’s AI Search Trends estimates AI search volume at the topic level using end-to-end AI search interaction data from high-quality, privacy-compliant, third-party providers. It models estimated prompt volume by topic, how that volume changes over time, and brand and competitor presence over selected timeframes. Because AI platforms don’t publish query volumes, these estimates are directional, not exact, and are designed to reveal reliable, population-level trends.
Traditional keyword tools rely on search engine query logs to report keyword-level volumes. AI platforms don’t share similar logs, so Scrunch takes a different approach: - Topic-level modeling: Scrunch estimates trends at the topical level where data is sufficiently reliable, rather than claiming exact keyword volumes. - Panel-based data: Estimates are derived from large-scale, privacy-compliant interaction datasets plus proprietary modeling to infer population-level behavior. - Directional insights: Metrics are built for trend detection and planning, not exact counts—complementing, not replacing, traditional SEO keyword tools.
Beyond trend volume, Scrunch provides analytics to quantify how AI affects your brand’s visibility—and how you stack up against competitors—by collecting actual responses from major AI platforms and analyzing them. In Monitoring, you can track: - Brand and competitive presence in AI responses, plus position in answers and sentiment toward each brand. - Citations and sources referenced by AI, with full response capture for context. - Filters for topic, persona, AI platform, funnel stage, country, and more, to isolate the performance that matters. - Time-series comparisons to benchmark your performance against key competitors.
Scrunch’s approach to presence tracking is rooted in real response collection and verified detection methods. For more detail, see the FAQ on accuracy: How accurate is Scrunch at tracking brand presence across LLMs?
Scrunch covers the full loop—from seeing how you show up in AI to improving and delivering AI-optimized content: - Monitoring: See brand presence, position, sentiment, citations, AI search volume, AI bot traffic, AI referral traffic, and full responses across major AI platforms. - Auditing: Map site performance for AI access, uncover technical barriers (e.g., access controls, content delivery, content quality), and pinpoint page-level issues. - Optimization: Generate tailored, AI-friendly content structures and recommendations—or fully automate updates—to improve how AI platforms understand and cite your pages. - Content delivery (AXP): Automatically detect AI agent traffic and serve optimized content directly to AI agents while preserving the human web experience. This helps AI platforms reference and cite your content more consistently.
Learn more about the platform’s products in this FAQ: What products does Scrunch offer for AI search optimization?
A pharmacy retail chain wants to understand how often people ask AI about relevant topics and how often their brand shows up in responses. - Topic selection: Track topics like “non-prescription pain relief,” “prescription savings solutions,” and “eye infection treatment.” - Topic trends and volume: View estimated prompt volume over time to spot rising or seasonal demand. - Brand and competitor presence: Compare how often the brand appears versus competitors in AI responses, and review sentiment toward each. - Sample prompts and responses: Inspect real prompts and full AI responses, including where the brand appears in the answer and which sources are cited.