AI is already answering questions about your brand. LucidScope shows you what it’s saying, where it comes from, and how you compare versus competitors across models, markets, and stakeholder questions.
Fast starting point: an audit based on your brand, competitor set, and a short question pack.
LucidScope helps commercial and digital teams benchmark visibility in AI answers, understand what drives those outputs, and prioritize actions to improve clarity, consistency, and presence in zero-click environments.
See how models frame your brand versus competitors across themes, attributes, and market narratives.
Compare answers to your priority questions across models and markets, highlight divergences and missing facts.
Run patient, HCP, and payer lenses. Track reading level, evidence depth, and access framing.
Flag hallucinations, outdated claims, and inconsistencies, with optional reference materials for alignment checks.
Identify recurring unlabeled side-effect mentions in AI outputs, filter noise, and escalate signal candidates.
Find data trapped in PDFs or hard-to-parse pages, then generate structured outputs to improve AI retrieval.
Audit how AI interprets charts and figures, reduce “visual misinformation,” suggest alt-text guardrails.
Optimize content for AI summaries and answer engines, with a score and a transparent change log.
Designed for fast commercial workflows, with optional depth for medical, safety, and market access teams.
Benchmark the baseline AI narrative for disease, standard of care, and competitors before launch, then track shifts after milestones.
Track how AI answers change during a campaign across models and markets, then quantify what moved and why.
Map how AI frames your brand versus competitors across attributes, and identify what information is missing in the “AI narrative.”
Detect hallucinations, staleness, and misinterpretations, and create an internal record of issues and remediation.
LucidScope is built for environments where trust, evidence, and accuracy matter, and where AI-generated answers influence decisions.
Launch readiness, competitive narrative tracking, stakeholder question mapping, zero-click visibility.
Answer benchmarking, policy data liquidity, misinformation and impersonation monitoring.
Cross-model brand positioning, answer drift detection, content optimization for answer engines.
A practical workflow designed for commercial teams, with optional depth when you want to bring medical, safety, or access stakeholders in.
Select brand, competitors, markets, and a question pack aligned to your objectives.
Execute the same prompts across multiple AI systems to capture differences and drift.
Review perception and answer maps, plus the sources shaping those outputs and where gaps exist.
Use zero-click and schema recommendations to improve visibility, then track changes over time.
Start with an AI Answer Audit, then move to ongoing monitoring and optimization if you want continuous visibility.
Prefer to trial first? Test LucidScope.