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Query-to-click datasets built around downstream behavior

Query-to-Click Datasets connect approved query classes with destination domains, content categories, and later journey stages. Standard delivery uses aggregated groups and a documented taxonomy. Available fields depend on source rights, market coverage, and the approved purpose.

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Best for

Search product teams

Ranking and retrieval teams

SEO and content intelligence

Market research

Delivery options

Aggregated query-to-domain tables

API or scheduled files

CSV or Parquet

Custom taxonomy and period cuts

Example fields

A schema buyers can inspect

Names and definitions are illustrative. Production fields are confirmed during scoping and documented before delivery.

query_class

Approved intent, topic, or demand category

search_channel

Classic search, AI discovery, or another approved channel class

destination_domain

Normalized clicked domain where available

destination_category

Content, brand, product, or market category

click_position_band

Grouped result position where the source supports it

journey_stage

Derived discovery, research, comparison, or action stage

Questions it supports

Use the signal for a defined decision

  • Evaluate search and retrieval paths
  • Map query intent by destination
  • Find content demand gaps
  • Study downstream journey outcomes
Product boundaries

Controls are part of the product

  • Query classes are the standard output
  • Private AI conversations are outside the standard offer
  • Sensitive classes require exclusion or review
  • Fields depend on source rights and jurisdiction
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Behavioral data for models that need market context

Build ranking, recommendation, forecasting, and retrieval systems with documented behavioral features.

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AI 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.

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Product FAQ

Before you request a sample

Does the standard dataset include raw queries?

The standard format uses approved query classes and aggregate counts. More detailed text fields require a separate source-rights, privacy, and purpose review.

Can the dataset connect clicks to later journey stages?

Yes, where permitted coverage supports the sequence. The available look-forward window and aggregation level are confirmed during scoping.

Can BGraph use our intent taxonomy?

Yes. Query classes, destination categories, and journey stages can be mapped to a buyer taxonomy during sample design.

Define the scope

Tell us the market,
fields, and workflow.

We will verify coverage and propose a sample that matches the intended use.

Request data ↗