# Clarivy Enterprise Monitor monthly report

> Mock sample. Fictional brand: Example Cross-Border Brand. This file demonstrates structure only.

## Run metadata

- `monitor_id`: `mon_example_enterprise_001`
- `run_id`: `monrun_2026_07_full_example`
- `run_type`: `monthly_full`
- `prompt_set_version`: `pset_enterprise_example_v3`
- `markets`: `US`, `UK`, `Singapore`
- `languages`: `en`, `zh-Hans`
- `competitors`: `Profound`, `Otterly`, `Evertune`
- `evidence_policy`: current-run claims must cite current-run `evidence_id` values.

## Executive summary

AI visibility improved in brand-specific prompts but declined in competitive shortlist prompts. The main risk is not absence; it is category framing. Two endpoints described the fictional brand as a "small audit sample" rather than an enterprise monitoring program.

## Trend snapshot

| Metric | Previous full run | Current full run | Direction |
|---|---:|---:|---|
| Brand mentioned in scoped prompts | 18 / 84 | 25 / 84 | Improved |
| Competitor named before brand | 31 / 84 | 37 / 84 | Worse |
| Current-run citation URLs controlled by brand | 4 | 6 | Improved |
| Unsupported claims detected | 2 | 1 | Improved |

## Material findings

### `finding_ent_001` Category framing is still too Snapshot-heavy

- Evidence: `evidence_doubao_competitive_014`, `evidence_chatgpt_competitive_021`
- Risk level: `high`
- Owner hint: `brand_marketing`
- Human action: update enterprise pages and third-party profiles to describe the recurring monitor program first.
- Agent action: create a content-change proposal, but require human approval before changing pricing, legal, or product claims.

### `finding_ent_002` Citation source diversity improved

- Evidence: `evidence_gemini_source_033`, `evidence_qwen_source_044`
- Risk level: `medium`
- Owner hint: `seo_content`
- Human action: keep the citation-source workstream active; next run should verify whether source diversity persists.
- Agent action: draft internal source map notes with evidence IDs attached.

## Human priority actions

1. Reframe the enterprise page and external profiles around "managed recurring AI visibility monitoring."
2. Publish one enterprise-grade sample showing monthly trend, weekly pulse, and agent backlog.
3. Review competitor comparison pages for residual one-time audit language.

## Monitor recommendations vs Improvement Plan add-on

Enterprise Monitor includes evidence-backed recommendations, priority actions, and AI-agent action records. If the customer scopes Monthly Improvement Plan, Clarivy turns the same findings into a deeper 30-day improvement layer:

1. Owner-ready work plan with sequencing, dependencies, and review checkpoints.
2. AI-agent work packages with approval boundaries and evidence IDs preserved.
3. Monthly review memo that compares completed work against the next Monitor run.

The add-on does not guarantee rankings, traffic, revenue, or AI answer share.

## AI-agent handoff

AI agents must read:

1. `sample-agent-manifest.json`
2. `sample-agent-action-backlog.json`
3. `raw-data-index.md`
4. Raw JSON referenced by each `evidence_id`

Do not execute `approval_required: true` actions without a human owner approving the change.