STUDY PROTOCOL / V1.0

AEO Benchmark Study Protocol

The CBI Study Protocol defines the required disclosures for category scope, prompt design, model surfaces, collection conditions, coding, exclusions, limitations and corrections.

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

STUDY PROTOCOL / V1.0

Required Disclosure Fields

30protocol fields

6journey stages

3evidence classes

1public correction path

STUDY PROTOCOL / V1.0

Release Gates

01

Scope frozen

Category, entities, buyers, stages and questions are documented.

02

Conditions recorded

Surface, model label, geography, sessions, dates and repetitions are preserved.

03

Codebook locked

Presence, recommendation, caveat and citation rules precede analysis.

04

Evidence retained

Answers, sources, timestamps and exclusions can be audited.

05

Limits written

The report states what cannot be concluded.

06

Corrections open

Documented factual corrections follow a public process.

STUDY PROTOCOL / V1.0

Why The Protocol Is Proprietary

The moat is not a secret score. It is the disciplined connection between commercial buyer questions, repeatable observations, claim-level source evidence and decision-ready reporting. Publishing the protocol makes future findings more credible and harder to imitate superficially.

STUDY PROTOCOL / V1.0

Complete 30-Field Study Protocol

Every required study field and its definition is published below. These are the disclosure requirements applied before an observed AI visibility benchmark can be released.

30 records published online. Browse The Complete Resource

Required

research question

Definition: The decision the study is designed to inform

Evidence Class: Methodological

Version: v1.0

Required

evidence class

Definition: Observed, Curated or Methodological

Evidence Class: Methodological

Version: v1.0

Required

category definition

Definition: Operational category scope and exclusions

Evidence Class: Methodological

Version: v1.0

Required

entity set

Definition: Frozen list of entities and inclusion reasons

Evidence Class: Methodological

Version: v1.0

Required

buyer audiences

Definition: Roles represented in the prompt corpus

Evidence Class: Methodological

Version: v1.0

Required

journey stages

Definition: Discovery through procurement stages included

Evidence Class: Methodological

Version: v1.0

Required

prompt corpus version

Definition: Immutable corpus version identifier

Evidence Class: Methodological

Version: v1.0

Required

surface

Definition: Named AI product or search surface

Evidence Class: Methodological

Version: v1.0

When visible

model label

Definition: Model or experience label displayed by the surface

Evidence Class: Methodological

Version: v1.0

Required

geography

Definition: Researcher and market geography

Evidence Class: Methodological

Version: v1.0

Required

language

Definition: Language of prompts and answers

Evidence Class: Methodological

Version: v1.0

Required

session condition

Definition: Signed-in state, memory and personalization controls

Evidence Class: Methodological

Version: v1.0

Required

collection start

Definition: First observation timestamp

Evidence Class: Methodological

Version: v1.0

Required

collection end

Definition: Last observation timestamp

Evidence Class: Methodological

Version: v1.0

Required

repetitions

Definition: Number of controlled repetitions per prompt

Evidence Class: Methodological

Version: v1.0

Required

answer capture

Definition: Preserved answer text or approved representation

Evidence Class: Methodological

Version: v1.0

Required

citation capture

Definition: Visible URL, title and access timestamp

Evidence Class: Methodological

Version: v1.0

Required

coding codebook

Definition: Predeclared presence, recommendation and caveat rules

Evidence Class: Methodological

Version: v1.0

Required

reviewer count

Definition: Number of coders or adjudicators

Evidence Class: Methodological

Version: v1.0

If multiple reviewers

agreement method

Definition: Inter-reviewer agreement method

Evidence Class: Methodological

Version: v1.0

Required

exclusions

Definition: Excluded observations with reasons

Evidence Class: Methodological

Version: v1.0

Required

unknown handling

Definition: Rules for ambiguous or missing evidence

Evidence Class: Methodological

Version: v1.0

Required

canonicalization

Definition: URL and entity normalization rules

Evidence Class: Methodological

Version: v1.0

If composite used

weighting

Definition: Predeclared metric weights

Evidence Class: Methodological

Version: v1.0

Required

limitations

Definition: Sampling and interpretation limits

Evidence Class: Methodological

Version: v1.0

Required

correction policy

Definition: How documented corrections are reviewed

Evidence Class: Methodological

Version: v1.0

Required

publication version

Definition: Release identifier

Evidence Class: Methodological

Version: v1.0

Required

data dictionary

Definition: Field definitions and allowed values

Evidence Class: Methodological

Version: v1.0

Required

source license

Definition: Permitted use and attribution terms

Evidence Class: Methodological

Version: v1.0

Required

contact

Definition: Research correction contact channel

Evidence Class: Methodological

Version: v1.0

Next Useful Step

Request An AI Visibility Diagnostic

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.