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ProductAI discovery product

AI search signals without personal conversation claims

AI Search Signals focuses on market-level adoption and journeys around AI-assisted discovery. It helps teams compare AI platforms with classic search and understand what audiences do after an AI interaction.

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Best for

Search intelligence teams

Brand strategy

GEO and content teams

AI product research

Delivery options

Aggregated signal feed

API, CSV, or Parquet

Category and market cuts

Custom research output

Example fields

A schema buyers can inspect

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

ai_platform_class

Approved AI search or answer platform category

discovery_category

Normalized research topic or commercial category

channel_transition

Movement between AI, classic search, sites, and apps

downstream_class

Destination domain or content category

adoption_index

Normalized change within the defined universe

period

Agreed reporting or delivery window

Questions it supports

Use the signal for a defined decision

  • Compare AI and classic search
  • Find categories shifting first
  • Measure downstream research
  • Track AI-assisted discovery over time
Product boundaries

Controls are part of the product

  • No standard product for reading private conversations
  • No named or individual prompt profiles
  • Sensitive topics require exclusion or separate review
  • Query-derived fields depend on legal and source assessment
ExploreConnected topic cluster
Topic guide

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 ↗Use case

AI search intelligence built from aggregated behavior

Measure AI search adoption, category discovery, and search journey patterns using aggregated, privacy-secured behavioral signals.

Continue ↗Industry

Plan around the journeys audiences actually take

Use observed market journeys to improve channel planning, publisher research, content strategy, and competitive analysis.

Continue ↗Research

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 this include private AI conversations?

BGraph does not position the standard product as access to private conversations. The offer focuses on aggregated market patterns.

Can AI platforms be compared?

Yes, where observable and permitted coverage supports a consistent comparison.

Can signals be delivered by category?

Yes. Categories, markets, platforms, and periods are defined during scoping.

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 ↗