Scan
Scheduled coverage across Public AI engines and AI search surfaces.
Platform
Lawnise governs Public AI — public and public-facing AI systems such as ChatGPT, Gemini, Claude, Perplexity, and AI search surfaces, when they answer questions about your organisation, products, documents, competitors, or category. Lawnise is not an internal AI development platform; it is a governance workspace for monitoring, verifying, and reviewing what Public AI says about you.
What we monitor
Lawnise monitors what Public AI says about your organisation across the surfaces that shape buyer perception: third-party AI answers, AI search results, citation trails, brand rankings, competitor comparisons, and claims attributed to your products. Coverage runs continuously across the major answer engines and AI search surfaces; findings flow into a single governance workflow for review, evidence preservation, and follow-up.
TruthGuard · Pillar 01
TruthGuard verifies whether Public AI answers match your approved knowledge.
It helps teams detect inaccurate answers, contradictions, unsupported claims, stale facts, and risky responses before they become accepted public narratives.
Every flagged answer is tied back to evidence so reviewers can see what was said, what source of truth it was checked against, and why it needs review.
BrandGuard · Pillar 02
BrandGuard monitors how your organisation is represented across Public AI and AI search surfaces.
It tracks visibility, Share of Voice, first mentions, recommendations, competitor comparisons, reputation signals, citation sources, and whether AI systems describe the brand using approved or harmful attributes.
This helps regulated teams understand not only whether they appear, but how they are positioned.
SourceGuard · Pillar 03
SourceGuard reviews the documents and claims that shape what Public AI may rely on, quote, or distort.
It supports document parsing, PII redaction, compliance review, claim extraction, source alignment, and retention controls for sensitive workflows.
This gives teams a governed way to prepare source material before it becomes part of the wider AI answer ecosystem.
Capability map
Lawnise gives regulated teams a documented way to evaluate Public AI exposure across seven dimensions.
Answer accuracy
Inaccurate answers, contradictions, unsupported claims, stale facts.
TruthGuardVisibility
Whether your organisation appears, where it appears, and how prominently.
BrandGuardReputation
Sentiment, harmful associations, risky comparisons, brand perception.
BrandGuardCitation trust
Official, partner, third-party, competitor, or untrusted source references.
SourceGuardBrand consistency
Whether AI uses approved or harmful attributes.
BrandGuardCompliance readiness
Mapped rules, claim review, document-type context, redaction.
SourceGuardEvidence readiness
Preserved answers, source context, review decisions, audit trail.
Cross-pillarHow it works
Lawnise runs a five-step workflow that turns ad-hoc AI exposure into procurement-grade discipline:
Scan
Scheduled coverage across Public AI engines and AI search surfaces.
Verify
Compare each answer against your approved knowledge base.
Classify
Route flagged answers to the right pillar review queue (truth, brand, or source).
Review
Human approval or escalation through workspace queues.
Preserve
Every decision is saved with evidence for procurement audit.
Each step preserves audit-ready evidence so regulated teams can show their working when procurement asks how Public AI is governed.
Lawnise's platform operationalises the Enterprise Public AI TRiSM category, with scoring grounded in an Independent AI answer benchmark.
The free surfaces show what Lawnise sees. Monitor adds volume and cadence. Enterprise adds custom coverage and managed deployment.
Free 100 AI visibility checks per month. No credit card.
For procurement teams evaluating Enterprise. 30-minute working session.