← All five models
Claros · LLM Audit Model
How AI engines see the brand, measured, not guessed.
A growing share of stakeholder discovery now happens through AI, frontier LLMs, search-grounded copilots, vertical models, and embedded enterprise assistants. Claros measures visibility, authority, and factual accuracy across all four tiers, with reproducible methodology. The deliverable is a baseline, a guardrail, and a 30/60/90 roadmap to move the numbers.
C
LLM Audit Model
Claros
Four-tier AI-engine audit (frontier, search-grounded, vertical, embedded copilot). Built so AI visibility becomes a managed strategic asset, not a guess.
Load-bearing skill
Measurement
reproducibility
Five example engagements
01
Brand visibility baseline
Reproducible audit of how often, and how, the brand surfaces across frontier LLMs for category-defining prompts.
Visibility baseline
02
Executive bio accuracy audit
What AI engines say about your top 10 leaders, verified for accuracy, completeness, narrative coherence. Gaps prioritized.
Authority audit
03
Competitor share-of-voice
How AI engines pick winners in your category: prompt-by-prompt LLM share-of-voice study, with movement tracked over time.
Competitive AI
04
30/60/90 optimization roadmap
From baseline to action: prioritized content, schema, and authority-signal moves to lift visibility and accuracy across tiers.
Roadmap
05
Embedded copilot readiness
For B2B SaaS: how does your product surface inside Salesforce Einstein, Microsoft Copilot, and vertical AI assistants? Fix-list.
Copilot readiness
Deploys on
Inside your environment: CMS, schema layer, knowledge base, documentation, PR archive, product copy, so AI visibility becomes a continuously measured KPI, with guardrails wired into your content workflows.
◆ Engage Claros
Scope a Claros engagement. Priced by scope. First conversation in 60 minutes.
Tell us the question on the table and whether Claros should be delivered by us or deployed inside your environment. We'll scope from there.
Request Claros