See the journey.
Keep the context.
BGraph is building clickstream data products and AI search intelligence from aggregated, privacy-secured behavioral signals. The goal is to help teams understand markets and journeys without presenting group-level evidence as a profile of a person.
A data and research company focused on the relationships between discovery, visits, comparisons, channels, categories, and outcomes. BGraph is at an early stage, so coverage is verified during scoping rather than represented with unsupported headline numbers.
Claims should be as structured as the data.
Start with a decision
A useful data product begins with the market question, intended use, geography, and outcome. The feed is shaped after the question is understood.
Separate capability from coverage
Product pages describe formats and methods BGraph can scope. They do not promise a fixed number of countries, users, events, or years of history.
Make limits visible
Source rights, aggregation, suppression, delivery fields, buyer restrictions, and jurisdictional controls are part of the product definition.
Publish inspectable evidence
BGraph Research identifies the public source, preserves its definitions, shows calculations, and states where the evidence stops.
Public evidence, calculations, and interpretation
BGraph Research publishes source-based analysis about AI discovery and digital behavior. Research notes link to the underlying evidence, identify BGraph calculations, keep incompatible datasets separate, and include a methodology section.
Explore research ↗Teams that need an outside-in market view
Products and research are designed for data science, market intelligence, strategy, consumer insight, investment, search, content, retail, media, and travel teams. Every project still requires its own intended-use and coverage review.
Explore industries ↗Ask a specific question
Send the topic, relevant URL, deadline, and context. For data samples and commercial requests, use the dedicated data request page.
hello@bgraph.io ↗