Category discovery
Does the company enter the category answer space?
AI visibility evidence
Does your company enter the AI buyer answer space?
SemanticRisk uses a versioned, evidence-derived neutral buyer-question matrix to record whether a company appears, which alternatives occupy the answer space, which sources are cited, and whether the result repeats across controlled AI evaluation surfaces.
Visibility is not the same as access or interpretation. A site can be reachable and still never appear in a buyer answer. A company can appear while being described inaccurately. SemanticRisk keeps those signals separate.
Buyer Visibility Matrix v1
Paid measurement uses a broader neutral buyer-question set while preserving comparable wording.
Comprehensive Review uses 60 questions, Monitor uses 30, and Compare & Monitor uses 40. The matrix spans 10 buyer-decision dimensions and retains the exact methodology, question-plan and provider metadata needed for compatible repeat measurement.
Provider recommendation
Is it recommended when a buyer asks which providers to evaluate?
Comparison shortlist
Does it enter a shortlist when alternatives are compared?
Trust & reputation
Is it surfaced for reputation and narrative-monitoring needs?
Capability fit
Does it appear for the capabilities it publicly says it provides?
Risk & compliance
Does it appear for governance-sensitive buyer needs?
Evidence chain
One result, several different questions.
Access
Could crawlers reach the relevant public evidence?
Visibility
Was the target included or omitted, and who appeared instead?
Interpretation
What claims and business description did evaluated systems derive?
Citations
Which owned or third-party sources supported the observed answer?
Drift
What moved between comparable evidence cycles?
Action
Which evidence-backed issue deserves attention next?
Historical controlled self-test · 23 August 2026
SemanticRisk deliberately preserved the original 0 / 24 six-prompt baseline.
Before Buyer Visibility Matrix v1 became the paid methodology, Buyer Visibility Core v1 was run across six buyer intents, two repetitions per intent and two controlled AI search/grounding surfaces. SemanticRisk was absent from all 24 observations and had zero target-owned citations.
| Measure | Baseline |
|---|---|
| Completed observations | 24 |
| Target presence | 0 / 24 |
| Buyer intents with target presence | 0 / 6 |
| Target-owned citations | 0 |
| Controlled evaluation surfaces | 2 |
This is useful evidence, not a marketing score. The baseline is preserved so later runs can measure genuine movement without changing the questions to improve the result.
The controlled implementation used OpenAI Responses web search and Gemini Google Search grounding. It is not consumer-chat market share and does not guarantee future AI responses.
Unified Report
Visibility evidence is part of one report, not a separate product.
Where measured, the Unified Report brings buyer-prompt visibility together with access/readiness, citations, competitors, interpretation, claims, drift and ranked next actions. Start with the free Public Check, choose the $200 Comprehensive Review for a reviewed point-in-time assessment, or subscribe to Monitor or Compare & Monitor for repeat measurement.