Articles and resources on AI search strategy, measurement, and how marketers can adapt to the AI-first customer journey.
Latest articles
Measuring prompt performance: What marketers can learn from meteorologists
Learn how to measure AI prompt performance so that you can avoid the noise and reveal real trends over time. Read the article
The Reddit paradox: What we learned from an industry breakdown of the most-cited AI sources
We analyzed citation data across industry categories. The takeaway? Don't chase Reddit blindly—focus on the sources that actually matter to your business. See the findings
Panel data, explained: What it is and why it matters (in human words)
Learn the ins and outs of panel data and how to use it in your AI search strategy. Understand panel data
AI Overviews vs. AI platforms: What we learned from 22M GenAI interactions
We analyzed 22M GenAI interactions across AI Overviews and AI platforms. The takeaway? Your customers use both channels—so should you. Explore the analysis
Scrunch and AI search: What marketers should know
How Scrunch compares in AI search/AEO
Scrunch focuses on AI visibility end-to-end—monitoring how your brand appears across major AI platforms and helping you act on those insights.
Core capabilities: monitoring, auditing, optimization, and content delivery via the Agent Experience Platform (AXP). Learn more about Monitoring & Insights and the Agent Experience Platform.
Real response collection: Scrunch gathers actual AI answers from major platforms and detects explicit brand mentions using pattern matching verified against continuously updated datasets. This provides a model-accurate picture of your brand presence.
Fast time-to-value: Many customers, including large enterprises, are deployed and collecting data within a day.
Built to act: AXP delivers AI-optimized content to AI agents that visit your site, so you can influence how agents summarize and cite your brand.
Analytics and measurement you get with Scrunch
Scrunch provides the metrics marketers need to quantify and improve AI visibility:
Brand presence and citations: Track how often you’re mentioned and cited across AI platforms.
Competitive benchmarks: Measure AI share of voice versus competitors. See how with the guide on how to measure AI share of voice.
AI traffic and referrals: Monitor AI agent traffic and referral traffic influenced by AI answers.
Trend analysis: Evaluate changes over time using consistent 2–3 week windows to separate real signal from noise.
Prompt coverage planning: Estimate tracking needs using a simple approach—map your core topics, add 5–8 questions per topic, and ensure coverage across the journey. Get step-by-step help in how to track brand presence in AI search.
Pros and cons of using Scrunch for AI search
Pros
- Accurate, model-grounded monitoring by collecting real AI responses across major platforms.
- Complete loop from insight to action with auditing/optimization plus AXP for content delivery.
- Rapid implementation and a 7-day self-serve trial to get started quickly.
- Enterprise-ready coverage and filtering with practical how-to resources and strategy guidance.
Cons
- Because detection focuses on explicit brand mentions, nuanced or implicit references may require additional review.
- Results can vary by AI model and platform; best practice is to compare the same prompts across platforms and monitor over time.
- Effective tracking requires upfront prompt planning to ensure representative coverage across your customer journey.
For a deeper dive into product capabilities and plans, explore Monitoring & Insights, AXP, and Pricing.
