Define the target
A scan starts with a specific brand or entity, its public identity, relevant market context, and buyer questions selected before results are collected.
Methodology & Data
Evidence first. Scores second.
AI Brand Lens is designed so every useful conclusion can be traced back to a question, provider response, timestamp, and observable signal.
Run comparable questions
Configured providers receive the same substantive question so differences can be compared without quietly changing the test between systems.
Preserve provider evidence
The original response, provider and model context, timestamp, citations, completion status, and evaluation output are stored before summary conclusions are presented.
Evaluate observable signals
A separate evaluation identifies brand mentions, recommendation position, competitors, citations, and other structured facts. It does not rewrite the provider’s answer.
Aggregate conservatively
Completed response-level observations become question, scan, brand, competitor, and trend metrics. Missing or failed responses are distinguished from genuine omissions.
Compare over time
Recurring scans use a stable measurement approach so teams can inspect movement while retaining the evidence behind each historical result.
How to read the numbers
A metric is a summary—not the evidence itself.
The original provider output remains available so teams can inspect what happened instead of trusting a black-box score.
Visibility
At response level, whether the tracked brand appeared in a completed answer. Aggregate visibility summarizes those completed observations.
Position
Where the brand appeared in a recommendation or ranked list when the provider returned an order that can be evaluated.
Competitors
Organizations surfaced as recommended alternatives or comparable providers, normalized while preserving provider-level evidence.
Citations
Sources returned with an answer. A citation is evidence for that response—not a permanent endorsement or guaranteed recommendation.
Confidence
A conservative indication of measurement strength based on coverage, provider agreement, and observed signal strength.
Change
Movement between comparable observations. Provider, model, prompt, and methodology context matter when interpreting a trend.
Data boundaries
What the data can—and cannot—tell you.
Point-in-time observation
A scan records what configured providers returned at a particular time. It does not establish a permanent or universal ranking.
Provider independence
AI Brand Lens does not control provider models, retrieval systems, indexes, citations, or availability. Provider behavior can change without notice.
Evaluation can be wrong
Structured evaluation reduces manual inconsistency but can still misidentify brands, positions, competitors, or claims. Important conclusions should be checked against the preserved response.
Methodology evolves
Provider coverage, scoring, evaluation, and confidence methods may change as the product and AI ecosystem mature. Material methodology changes should be versioned and communicated.
Customer inputs
Brand details, questions, competitors, and configuration supplied by the workspace.
Provider evidence
Responses, citations, completion information, provider/model context, and timestamps created during scans.
Public evidence
Publicly accessible pages and signals evaluated for brand identity, readiness, citations, or supporting proof.
For details about personal information, vendors, retention, choices, and requests, read the Privacy Policy. Product outputs are informational and should be verified before important decisions.