The way AI describes your company is now your first impression.
SRD Intelligence measures how AI systems understand, reference and recommend B2B companies, then carries out optimization work whose effects are re-measured and evaluated rather than guaranteed. European-based, working with companies internationally.
Fictional sample value — not a measured result.
Search became a conversation. Most companies were not invited.
Buyers increasingly ask AI systems what to buy, who to trust and which companies to consider. If your company is absent, misunderstood or poorly represented in those answers, the evaluation may begin without you.
AI Visibility influences how likely your company is to become part of that answer.
How AI forms an understanding of your company.
AI systems can form representations of companies from information available across owned and third-party digital sources. Clear, consistent and authoritative information improves the basis from which companies can be identified and represented.
What is AI Visibility?
AI Visibility describes how AI systems understand, represent, reference and recommend a company when generating answers. It is evaluated through observable AI outputs under defined test conditions rather than inferred from proprietary model or ranking mechanisms.
The SRD AI Visibility Framework™
Five sequential stages. Each one produces evidence the next stage depends on.
Measure
Benchmark how AI systems currently identify, describe, cite and recommend a company.
Understand
Identify information gaps, contradictions, weak signals and visibility problems.
Optimize
Improve owned digital information and machine readability.
Build Authority
Strengthen external evidence and independent third-party signals.
Monitor
Re-measure AI Visibility and track changes over time.
Measure. Improve. Re-measure.
The loop closes: monitoring feeds the next measurement cycle, because model behaviour changes without notice.
Four dimensions of AI representation.
The SRD AI Visibility Index™ combines four distinct measurement pillars into a single 0–100 measurement: Visibility 30%, Influence 30%, Understanding 25%, Authority 15%. Where measurement coverage is insufficient, results are reported as such rather than treated as zero.
The SRD AI Visibility Index™ is the normalized measurement output used within the measurement stage of the broader SRD AI Visibility Framework™. Percentages shown next to sub-components below represent weighted contributions within their respective pillar.
Visibility
30%Measures whether a company appears in brand-blind discovery contexts, whether that presence remains stable across repeated observations, and how its observed presence compares with the defined competitive benchmark set.
Influence
30%Measures whether the company is actively recommended, how strongly it is recommended, and how prominently it appears in eligible brand-blind recommendation contexts.
Understanding
25%Measures factual correctness and required-fact completeness across six Core V1 dimensions.
Evaluation is based on a versioned, source-traceable Ground Truth defined for the audit. Equally weighted where structurally applicable.
Authority
15%Where the tested provider or surface can expose citations, Authority measures citation presence, independent third-party evidence and source diversity.
What we optimize.
AI Visibility Optimization is the stage after measurement: identify findings, prioritize interventions, implement improvements, re-measure and evaluate the delta. Measure before optimizing — outcomes are evaluated, not guaranteed.
Entity & Brand Understanding
Clarify who the company is, what it does and how its products, services and expertise relate.
Website & Machine Readability
Structure important company information so machines can discover, interpret and connect it reliably.
Structured Data
Implement and improve machine-readable information about the organization, products, services, people and relationships.
Knowledge Architecture
Create clear relationships between entities, topics, expertise, products and supporting information.
Authority & Third-Party Signals
Strengthen independent evidence across relevant publications, directories, reviews and platforms.
AI Answer Presence
Track and improve whether the company appears accurately and competitively across relevant AI-generated answers.
These are optimization layers within the SRD AI Visibility Framework™ — areas where we may intervene once measurement identifies a problem. They are not components of the SRD AI Visibility Index™, which measures Visibility, Influence, Understanding and Authority.
We do not optimize search rankings. We measure and improve the signals that shape how AI systems understand, represent and recommend companies.
AI Visibility does not replace SEO. Search rankings and AI representation are different measurement problems, addressed at different discovery layers.
AI Visibility and SEO measure different environments.
SEO focuses on visibility and performance in search engines. AI Visibility examines how companies are understood, represented, referenced and recommended within AI-generated answers. The disciplines can complement each other, but AI Visibility does not replace SEO.
Beyond AI mention tracking
SRD Intelligence goes beyond monitoring whether a brand appears in AI answers. The SRD methodology evaluates Visibility, Influence, Understanding and Authority under a defined measurement protocol. Results are measured across tested AI providers, aggregated provider-first and connected to structured optimization work followed by re-measurement. This makes changes observable without claiming access to proprietary AI ranking mechanisms or guaranteeing outcomes.
The AI Visibility Audit
A structured baseline assessment of how AI systems currently understand and represent your company under a defined SRD testing protocol.
The AI Visibility Audit is the assessment service; the SRD AI Visibility Index™ is one of the measurement outputs it produces. The audit measures observable AI outcomes under a defined and reproducible protocol. It does not claim to reveal, manipulate or reverse-engineer the internal ranking logic of AI systems.
Provider-first aggregation calculates results within each tested AI provider before combining provider-level results, preventing providers with more observations from disproportionately influencing the overall measurement.
Get Your AI Visibility AuditA 0–100 baseline measurement based on observable AI representation under the defined audit protocol.
Visibility, Influence, Understanding and Authority analyzed as separate measurement dimensions.
Performance analyzed by tested provider, model and configuration, without automatically equating API results with consumer AI products.
Analysis across relevant discovery, recommendation, comparison, problem/solution and buyer-intent contexts.
Comparison against a predefined and versioned competitor set where applicable.
Identification of factual gaps, contradictions, missing required information, citation patterns and third-party evidence.
Recommended interventions based on measured findings, including technical readiness where relevant.
Performance, measurement coverage and confidence are reported separately so insufficient or structurally unavailable data is never silently treated as zero.
From AI responses to measurable findings
SRD separates raw observations from structured analysis and calculated measurement outputs. AI responses are captured under defined test conditions, evaluated against the applicable measurement rules and transformed into observable metrics and pillar-level results. The SRD AI Visibility Index™ provides a normalized measurement output, while measurement coverage is reported separately where sufficient evidence is not available.
Measured, not guessed.
SRD measures observable AI outcomes under controlled test conditions. Audit definitions are established before measurement, results are evaluated provider-first, and missing or structurally unavailable data is not silently treated as zero.
Research & Insights on AI Visibility.
Analysis of how AI systems discover, interpret and recommend companies — and what businesses can do about it.
Answers before the call.
Find out how AI sees your company.
Start with an AI Visibility Audit and establish your baseline.
Get Your AI Visibility AuditBook an AI Visibility Audit.
Start with an AI Visibility Audit and establish your baseline.