Stacker and Scrunch Partner to Bring AI Search Visibility to Earned Media at Scale

Why It Matters

By quantifying earned media’s role in AI search, brands can boost credibility and optimize SEO strategies beyond their own channels, driving measurable authority and traffic.

Key Takeaways

• First AI search solution focused on earned media
• Scrunch analytics now embedded in Stacker platform
• Rollout to customers scheduled for March 2026
• Bridges gap between offsite citations and AI visibility
• Empowers brands to quantify earned media impact

Pulse Analysis

AI‑driven search engines are reshaping how brands are discovered online, rewarding content that demonstrates authority across the web rather than just on owned domains. Marketers have long relied on traditional SEO tools that track keyword rankings and on‑site performance, but these platforms often overlook the ripple effect of third‑party articles, press mentions, and influencer placements. As generative models become the primary interface for information retrieval, the ability to trace how off‑site citations feed into AI prompts is emerging as a critical competitive edge.

The Stacker‑Scrunch partnership directly addresses this emerging need by fusing earned‑media distribution with real‑time AI search analytics. Scrunch’s engine monitors how brand‑related prompts surface in AI responses, cataloguing mentions, citations and the contextual relevance of each source. Integrated into Stacker’s dashboard, these insights allow users to attribute AI visibility to specific earned placements, measure ROI on PR campaigns, and prioritize outlets that amplify search authority. The rollout, slated for March 2026, promises a seamless reporting layer that eliminates manual data stitching and provides actionable recommendations at scale.

For enterprises, the combined solution signals a shift toward holistic visibility strategies where earned media is no longer a peripheral metric but a core driver of AI search performance. Marketers can now align content creation, distribution, and measurement under a unified framework, reducing the risk of blind spots that erode brand credibility. As AI continues to dominate discovery, tools that illuminate the off‑site contribution to search outcomes will become indispensable, positioning early adopters to capture higher organic traffic and stronger brand trust.