Independent, evidence-led audits of how information is represented, substantiated and governed.
We examine how AI systems, digital platforms and public communications represent people, brands, products, organisations and claims. We identify which sources shape those representations, what is omitted or confused, and where legal, regulatory, reputational or information-integrity exposure may arise.
Each engagement is defined by the systems, sources, jurisdictions, languages and decision questions it covers. AI Visibility is one service line within a broader audit and compliance architecture.
Independent assessment of how selected AI systems discover, cite and describe an entity across relevant languages and contexts.
Example finding: an official source is omitted while secondary summaries shape the answer.
Evidence-led review of public claims, disclosures, documentation and operational practice against the relevant regulatory context.
Example finding: a public claim extends beyond what the supporting disclosure or source record substantiates.
Review of provenance, attribution, consistency and data-quality weaknesses across public information, digital platforms and evidence chains.
Example finding: distinct entities or sources are merged, producing contaminated attribution.
Authoritative sources are omitted, entities are confused, or qualified information is reduced into misleading summaries.
Websites, profiles, policies, disclosures and actual processes communicate materially different versions of the same position.
Information is incomplete, stale, incorrectly attributed or disclosed without the context needed for reliable interpretation.
We define and agree the entity, systems, jurisdictions, languages and decision question covered by the engagement.
We examine the relevant public or authorised information against the agreed scope.
We present documented findings, material limitations and prioritised corrective actions.
Where agreed, we support controlled corrections to documentation, communication and information architecture.
Material findings are connected to documented observations and relevant sources. We record the scope and date, distinguish observation from inference, and state uncertainty and limitations where they affect interpretation.
Parallax Analytics Ltd is an independent audit and compliance firm operating internationally from Kraków. We work where AI representation, digital communication, regulatory documentation and information provenance intersect.
Audit findings and compliance diagnostics do not constitute legal advice. Parallax Analytics Ltd does not provide legal representation or other regulated legal services and does not replace advice from appropriately qualified legal counsel.
Security exposure findings are limited to public or authorised material. We do not perform penetration testing or active intrusion under this service scope. No AI ranking, commercial result or regulatory outcome is guaranteed.
Send a short outline of the problem, the relevant public channels and the decision you need the audit to support. We can confirm whether a controlled scope is appropriate.