Yes. Scrunch lets you analyze AI search performance over time using customizable date ranges and clear visualizations across the Home, Prompts Monitoring, Citations, Trends, and Agent Traffic tabs. You can apply preset windows or a custom range, compare periods side-by-side, and view line charts for brand vs. competitor presence and estimated conversation volume by topic.
What you can trend in Scrunch - Brand presence vs. competitors over time - Prompt placement and sentiment over time - Citations by platform, prompt, and persona over time - Estimated conversation volume for topics over time - AI agent traffic to your site over time via the Agent Traffic tab
Example - To review Q2 vs. Q1 performance, filter to Q2 to view brand presence, competitor presence, prompt placement, sentiment, and citations. Then switch the date range to Q1 and compare. You can also visualize brand vs. competitors as a line chart for a quick trajectory view.
Measuring the impact of AI on brand visibility versus competitors - Share of voice in AI answers: Track your brand’s presence percentage alongside competitors across major AI platforms. - Position score and sentiment: See how prominently and positively your brand appears in responses, then compare over time. - Citations share: Identify which sources AI models cite (for you and competitors), and how that mix shifts. - Traffic impact: Combine AI agent traffic trends and referral traffic from cited sources to gauge downstream impact. - Segmentation: Filter by platform, prompt, and persona to pinpoint where gains or losses are happening.
How Scrunch measures AI search trend volume vs. traditional keyword tools - Instead of keyword search volume, Scrunch analyzes what AI systems actually say. It aggregates prompt-level results across platforms (e.g., ChatGPT, Gemini, Perplexity) to estimate conversation volume by topic and track brand presence in those answers. - Traditional tools infer demand from keyword queries in search engines. Scrunch captures observed AI assistant demand—how often topics appear, which brands are recommended, and which sources are cited—so you can see conversational trends that keyword tools miss.
Trend data Scrunch provides that others typically don’t - Cross-model presence and sentiment: Side-by-side visibility across major AI platforms for the same prompts. - AI citation graph: Which pages and domains models cite, by topic, over time—exposing content gaps and new authority sources. - Prompt placement: Whether and where your brand appears in multi-item AI answers. - Persona- and platform-level trends: How visibility changes for specific customer personas and individual AI platforms. - Estimated conversation volume: Topic-level demand signals based on observed AI responses, not keyword queries. - AI agent traffic: Trends in AI agents visiting your site and how they interact with your content.
How reliable are these trend signals for anticipating AI demand? - Scrunch collects real AI responses and detects explicit brand mentions using pattern matching validated against continuously updated datasets. This makes brand presence tracking highly accurate and trends directionally reliable. - Best practices for dependable insights: - Compare like-for-like periods (e.g., Q/Q) and monitor 2–3 week windows to smooth one-off changes. - Track multiple signals together (presence, citations, sentiment, agent traffic) for confirmation. - Annotate notable AI platform updates when interpreting short-term swings.
What Scrunch tracks for AI visibility that traditional SEO tools don’t - Full AI responses for your prompts across major platforms, including: - Brand presence, competitor presence, and sentiment in the actual answer text - Placement and ordering of brands or recommendations - Complete citation URLs and domains used by AI systems - Estimated conversation volume within AI assistants (not keyword search volume) - Share of voice across AI platforms and personas - AI agent traffic to your site and downstream referral patterns from cited sources
Accessing and reporting the data - Aggregated metrics via the query API: brand presence percentages, position scores, sentiment, citations, and competitor comparisons (90-day history). - Raw, unprocessed responses via the responses API: full text, citations, and metadata (90-day history). - BI-ready: Pull metrics into your dashboards via API, or use the prebuilt Looker Studio template for quick reporting. - Explore these capabilities in Monitoring & Insights and deliver AI-optimized content to AI visitors with Agent Experience Platform (AXP).