How do Enterprise Audit, Enterprise Monitor, and Monthly Improvement Plan differ?

Enterprise Audit is a one-time assessment. Enterprise Monitor is the recurring monthly or weekly measurement program. Monthly Improvement Plan is an optional Enterprise Monitor add-on for teams that want Clarivy to help translate weak audit results into prioritized improvement plans and AI-agent tasks.

Does Clarivy deliver files for enterprise AI agents?

Yes. Enterprise Monitor includes AI-agent deliverables such as an Agent Bundle Manifest, action backlog, evidence map, verification plan, raw-data index, and memory delta. Agents must verify current-run claims against raw JSON evidence.

Enterprise Products

One-time audit · Recurring monitor · Optional monthly improvement planning · Human + AI-agent deliverables

Direct answer. Clarivy's Enterprise line has three parts: Enterprise Audit for one-time assessment, Enterprise Monitor for monthly or weekly measurement, and Monthly Improvement Plan as an optional Enterprise Monitor add-on when the customer wants help turning weak findings into prioritized improvement work. All three are quoted after scope review and built for both human enterprise teams and enterprise AI agent employees.

Enterprise product architecture

Enterprise Audit

One-time enterprise assessment for teams that need a baseline, issue check, procurement evidence, or board-ready diagnosis.

Scoped prompt set across markets, languages, competitors, and buyer intents
Human report, AI-readable brief, raw-data index, and Agent Bundle Manifest where scoped
Best when the customer needs diagnosis, not an ongoing operating rhythm

One-time scope; quoted after review.

Enterprise Monitor

Recurring evidence program for teams that need visibility trend, competitor movement, and agent-ready work queues.

Monthly full audit by default; optional weekly pulse checks
Trend narrative, risk register, action review, and AI-agent deliverables
Can be prepaid or subscription-based after quote approval

Primary enterprise path; no recurring billing without explicit approval.

Monthly Improvement Plan

Add-on

Optional Enterprise Monitor add-on for customers whose results need active improvement planning, not only measurement.

30-day improvement plan based on current-run evidence and prior-run memory
Prioritized action backlog for human owners and enterprise AI agent employees
Monthly review of what changed, what did not move, and what to try next

Not a public standalone product; scoped as a Monitor add-on.

Where improvement advice lives

Layer	Included in Monitor?	What changes with Monthly Improvement Plan
Findings and priority actions	Yes. Monitor reports include evidence-backed findings and recommended next actions.	Actions are refined into a 30-day owner-ready plan with sequence, dependencies, and review criteria.
AI-agent task records	Yes. Monitor includes an agent action backlog and verification plan.	The backlog is curated into implementation work packages for the customer's internal agents and human approvers.
Strategy review	Lightweight narrative in the monthly report.	Dedicated improvement memo: what to change, what to avoid, what evidence must be re-checked next month.
Outcome promise	No ranking, traffic, revenue, or answer-share guarantee.	Same boundary. The add-on improves planning depth, not promised business outcomes.

Why Enterprise Monitor is not a bigger Snapshot

Need	Snapshot	Enterprise Monitor
Buying question	What is true right now?	What changed, why it changed, and what should humans or agents do next?
Cadence	One point-in-time baseline.	Monthly full audit by default; weekly pulse checks can be added after scope review.
Scope	5 customer-chosen questions across 7 endpoints.	Scoped prompt set across markets, languages, competitors, buyer intents, and risk categories.
Human deliverables	Core report and evidence files.	Executive monitor report, trend narrative, risk register, action review, and optional strategy review.
AI-agent deliverables	AI-readable brief and raw-data index.	Agent Bundle Manifest, action backlog, evidence map, verification plan, memory delta, and owner-ready task records.

Program shape

Monthly full audit

The core recurring run for leadership, marketing, SEO, content, PR, product, and AI operations.

Scoped prompt set with versioned markets, languages, competitors, and buyer intents
7 production model endpoints with exact model IDs and raw JSON evidence
Trend narrative across prior Clarivy runs
Executive report, AI-readable brief, raw-data index, and Agent Bundle Manifest

Weekly pulse check

A smaller watchlist run for high-risk prompts and competitor movements between full audits.

Core watchlist prompts agreed in the order form
Alert memo when competitor, citation, or brand-risk patterns move materially
Agent-ready pulse record with evidence IDs and recommended next checks

Enterprise review

A managed review layer so the output is decision-ready, not a raw dashboard export.

Analyst review before customer delivery
Procurement-ready invoice and bank transfer support
Prepaid or subscription structure confirmed in the quote

Deliverables for human teams and AI agent employees

Recipient	Deliverable	Purpose
CMO / founder / leadership	`enterprise-monthly-report.pdf`	Trend, risk, competitor movement, citation-source shifts, and business-readable priorities.
SEO / content / PR / product	`ai-readable-brief.md` and action review	Implementation-ready findings with stable finding, evidence, and action IDs.
Enterprise AI agent employee	`agent-bundle/manifest.json`	Machine-readable entry point: files, scope, run type, evidence map, task graph, and verification rules.
Enterprise AI agent employee	`agent-action-backlog.json`	Prioritized task records with owner hints, risk level, approval requirement, due window, and evidence IDs.
Enterprise AI agent employee	`verification-plan.json`	Which raw JSON files to verify before taking action, and what uncertainty must remain visible.
Auditor / legal / procurement	`raw-data-index.md` and raw JSON	Trace every current-run claim back to endpoint, prompt, sampled_at, model ID, and raw response.

Enterprise agent rules

Do not act from summary alone. Every recommendation must retain finding_id, evidence_id, and action_id.
Verify before changing customer systems. The agent must open the raw-data index and raw JSON before editing content, docs, schema, sales copy, or positioning.
Preserve approval gates. Actions that change legal, pricing, compliance, or brand positioning are marked approval_required: true.
Treat memory as context, not proof. Repeat-audit memory can explain trends, but current-run claims must cite current-run evidence.

Inspect the Enterprise Monitor sample

The public sample is sanitized and fictional. It shows the intended shape of an enterprise recurring delivery, including AI-agent-specific files.