About Clarivy

v1.4 · 24 August 2026 · Canonical entity page. For registration numbers and the registered office, see the Legal operator page.

Clarivy helps organizations identify where AI answers omit, misrepresent, or displace their brand; prioritize corrective action; and verify change with comparable evidence and agreed acceptance tests. Clarivy Observe runs controlled buyer questions across named model APIs, preserves the underlying evidence, and blocks misleading comparisons when the questions or measurement conditions change.

Identity note: this page describes Clarivy at clarivy.ai, operated by HG-SOLUTION CO., LIMITED in Hong Kong. It is unrelated to organizations using the same name in other industries or on other domains.

What the customer keeps

An AI competition record: the scenarios where the brand won, lost, or was described incorrectly; the competitors selected; and the evidence behind each result.
A customer-owned verification standard: frozen questions, surfaces, conditions, and acceptance rules that keep execution separate from final acceptance.
An improvement memory: what changed, when it was published, what happened on retest, and whether the next decision is to scale, revise, hold, or roll back.

When consumer-surface verification is included in the approved scope, the customer can choose the real devices and platforms, hold back part of the question set, and perform final acceptance. Model API, consumer Web, and native App results remain separate cohorts.

Operator and founding

Trading brand: Clarivy
Legal operator: HG-SOLUTION CO., LIMITED. Registration and contracting details: /legal/company.html.
Founded: 2026-04-01
Website: https://clarivy.ai/
Founder: Chaoli, Founder & Lead Analyst.

Service scope

Clarivy offers four ways to start, depending on the decision your team needs to make:

Enterprise Monitor: the primary recurring commercial workflow for larger teams. Cadence, scope, deliverables, invoice terms, bank-transfer details, and cancellation terms are confirmed after requirements review.
Enterprise Audit: a one-time enterprise assessment for baseline, risk review, procurement evidence, or board-ready diagnosis.
Monthly Improvement Plan: an optional Enterprise Monitor add-on that turns weak findings into a 30-day improvement plan, human-owner work packages, and AI-agent tasks; it is not sold as a public standalone product.
Professional Audit: a deeper audit scope for teams that need more than a lightweight baseline, quoted after scope review.
Snapshot Audit: a USD 149 one-time baseline: 5 user-chosen queries × 8 production model endpoints = 40 datapoints, available through self-serve Stripe Checkout.
8 production plain-model API surfaces: Doubao (ByteDance Volcengine), Kimi (Moonshot AI), DeepSeek, Qwen (Alibaba DashScope), OpenAI, xAI Grok, Anthropic Claude, and Gemini (Google AI / Vertex AI). Product UIs and Google AI Overviews are not represented by these API observations.
Delivery: a human report, an AI-readable Markdown brief, and a raw-data index.
Agent-ready structure: stable finding_id / evidence_id / action_id references, deterministic GEO scores, and raw JSON evidence links.
Repeat-audit continuity: sanitized same-customer memory for future Clarivy audits; excludes contact details, billing data, raw responses, and raw JSON.
Every datapoint carries a 4-column methodology matrix (endpoint with exact model id, method, sampled_at, reproduce link).

Clarivy does not claim coverage of every AI model that exists, and does not promise "always the newest" model: only the 8 endpoints above, with the exact model id disclosed per datapoint.

Current audit facts

Primary commercial scope: Clarivy Enterprise Monitor
Pricing: Snapshot Baseline is USD 149 through self-serve Stripe Checkout. Enterprise, Professional, monitoring, and improvement-plan scopes are quoted after requirements review.
Payment: Snapshot Baseline uses self-serve Stripe Checkout. Approved B2B scopes can use invoice and bank transfer.
Snapshot scope: 5 user-chosen queries × 8 production model endpoints = 40 datapoints; one-time audit only.
Delivery: human report + AI-readable Markdown brief + raw-data index
Agent-ready evidence: stable IDs + deterministic GEO score pair + raw JSON evidence links + Enterprise agent action backlog where scoped
Repeat-audit memory: sanitized same-customer continuity layer; opt-out and deletion available
Delivery time: Confirmed in the quote, order record, or invoice for the selected audit scope.
Refund / rework: Defined in the signed quote, order record, or invoice for the selected audit scope (full terms: Terms of Service).

What Clarivy does not claim

The audit is an API-surface measurement, not a 1:1 mirror of an end-user product UI (see Methodology §6).
It does not predict future rankings and does not guarantee business outcomes.
It does not guarantee that one model will recommend a brand in one specific answer.
It does not fabricate reviews, people, media coverage, third-party sources, or undisclosed endorsements, and does not offer platform-incompatible automation as a client deliverable.
Repeat-audit memory is historical context, not current-run evidence. Current-run claims must cite current structured findings and raw JSON evidence.
Enterprise Monitor never creates a subscription or recurring billing record by default; cadence, payment structure, and cancellation terms must be approved first.
It does not advertise SOC 2, ISO 27001, or any external certification that has not been attained (current compliance status is on the legal and trust pages).

Contact

General: [email protected]
Sales (Enterprise Monitor, audit scopes, and invoices): [email protected]
Billing: [email protected]
Privacy: [email protected]

Clarivy responds in English and Traditional Chinese. Product copy is live in both languages.

Machine-readable facts

Canonical text facts for AI agents: /llms.txt
Technical contract (product matrix, endpoint list, delivery QA, anti-hallucination rules): /audit/methodology.html
Sanitized sample deliverables (mock data, no real customer): /audit/sample/
Raw evidence: delivered per order through raw-data-index.md and the approved evidence package.

Home: Enterprise, Professional, and Snapshot audit scopes
AI search visibility audit: core service scope
GEO audit: educational guide
Model weight availability audit: endpoint weight-availability context
Methodology: the technical contract
Sample audit: sanitized core delivery files
Editorial policy
Legal operator: HG-SOLUTION CO., LIMITED registration details
Privacy Policy
Terms of Service