RESEARCH PLATFORM

AEO Research & AI Visibility Benchmarks

The Charles Brian International research program is designed to make AI visibility measurable without dressing hypotheses up as findings. Every asset states what was observed, what was curated and what remains methodological.

Enterprise team reviewing an AI visibility benchmark and evidence-led research

RESEARCH PLATFORM

Evidence Classes

OBSERVED

Directly measured

Results from a documented study with a defined sample, collection window, test protocol and limitations. No observed benchmark is currently published.

CURATED

Assembled with provenance

Datasets or taxonomies compiled from public evidence and buyer research, with source lineage and inclusion rules.

METHODOLOGICAL

Designed, not yet executed

Frameworks and measurement systems published before a benchmark is run. They are never presented as market findings.

RESEARCH PLATFORM

Open Research Assets

240buyer questions

24AEO metrics

12industry scorecards

30protocol fields

Buyer Question Atlas

A filterable-in-CSV corpus spanning 12 research-intensive B2B industries.

Explore the dataset

AEO Metric Dictionary

Definitions and guardrails for presence, recommendation, citation and stability measurement.

Open the dictionary

Research Data Library

Download every versioned CSV and the machine-readable asset manifest.

Open the library

RESEARCH PLATFORM

Observed Client Evidence

Observed evidence is now available

The research library's methodological and curated assets remain distinct from a newly published blinded client case. The case reports three separate measurement sets, their methods and their limitations.

Review The Observed Enterprise B2B SaaS Case

RESEARCH PLATFORM

Research Programs

METHOD

AI Visibility Index

A transparent model for measuring presence, recommendation, framing and citation patterns.

Review the index design

METHOD

Industry benchmarks

Cross-category studies built around the questions and evidence standards unique to each vertical.

Explore the program

METHOD

Buyer-question datasets

Documented prompt families for discovery, comparison, implementation, risk and procurement.

See the data specification

METHOD

Recommendation studies

Repeatable tests for who appears, how brands are framed and how stable answers remain.

See the study design

CURATED

Source evidence taxonomy

A provenance-led classification system for owned, earned, platform and buyer-generated evidence.

Open the taxonomy

BRIEFS

Executive research briefs

Decision-ready synthesis for marketing, product and revenue leaders.

View the briefing model

RESEARCH PLATFORM

Publication Standard

Every release will disclose

  • Research question and commercial relevance
  • Population, sample and collection dates
  • Models, surfaces and prompt protocol
  • Scoring rules, exclusions and confidence limits
  • Source provenance and known limitations

Every release will avoid

  • Synthetic scores presented as observed facts
  • Unspecified prompts or cherry-picked outputs
  • Cross-model claims from a single surface
  • Rankings without a reproducible method
  • Commercial conclusions the data cannot support

Next Useful Step

Bring A Category Question Worth Measuring

Start with the commercial decision, evidence and measurement conditions that matter most. The first recommendation will define the most useful scope before any larger commitment.