Understand how audiences discover and continue consuming content
Media teams can study aggregated discovery paths between search, AI platforms, publishers, video, audio, social, and subscription destinations. The goal is a market view beyond one owned property.
Request industry data ↗Decisions the data can support
- Which topics bring audiences into a content category?
- Which publishers share attention?
- Where do audiences continue after a story?
- How do AI referrals change discovery?
What a scoped dataset may contain
- Publisher overlap
- Topic and format movement
- AI and search referrals
- Repeat content research
Outputs shaped for the workflow
- Audience overlap matrix
- Topic demand indicators
- Discovery source report
- Recurring publisher monitor
AI search intelligence from adoption to downstream behavior
A practical guide to AI search intelligence, GEO measurement, citations, referrals, adoption, downstream journeys, product boundaries, and public evidence.
Continue ↗ProductDomain and category trends that show where attention moves
Track attention, overlap, discovery sources, and category movement across defined digital markets.
Continue ↗Use caseMedia planning informed by real audience journeys
Use observed audience journeys to improve channel planning, publisher selection, competitive analysis, and campaign strategy.
Continue ↗ResearchAI summaries change what happens after a Google search
BGraph analysis of Pew browsing data on Google AI summaries, result clicks, cited-source clicks, query length, and session endings.
Continue ↗Start with one question.
Define the right signal.
Coverage, fields, cadence, and safeguards are confirmed before delivery.
Request a scoped sample ↗