# Market Audit

> Comprehensive marketing audit of a website using 5 parallel specialist subagents. Invoke whenever the user says "audit", "marketing audit", "review my site", "how's my marketing", or runs `/market audit <url>`. Produces MARKETING-AUDIT.md with a 0-100 composite score, per-dimension scores, prioritized findings, and a 30/60/90-day action plan tied to estimated revenue impact.

- **Type:** Skill
- **Install:** `agentstack add skill-rediumvex-ai-marketing-claude-market-audit`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [rediumvex](https://agentstack.voostack.com/s/rediumvex)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [rediumvex](https://github.com/rediumvex)
- **Source:** https://github.com/rediumvex/ai-marketing-claude/tree/main/skills/market-audit

## Install

```sh
agentstack add skill-rediumvex-ai-marketing-claude-market-audit
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Market Audit — 6-Dimension Site Audit

Your job is to produce a rigorous marketing audit. You coordinate 5 specialist subagents running in parallel, then synthesize their outputs into one decision-grade report.

## Phase 1 — Discovery (before spawning agents)

1. **Fetch the page once** with `python3 scripts/analyze_page.py ` and capture the JSON. Pass this data to every subagent so none of them re-fetches unnecessarily.
2. **Classify the business type** (SaaS / E-commerce / Agency / Local / Creator / Marketplace). This adjusts which findings matter most.
3. **Extract the brand name** from the title or logo alt text. Use it consistently in the report.
4. **Check for prior artifacts** (`BRAND-VOICE.md`, `COMPETITOR-ANALYSIS.md`, etc.) and feed relevant excerpts to the matching subagent.

## Phase 2 — Parallel Analysis

Spawn these 5 subagents **in the same message** (one tool block with 5 Agent calls). Each gets: the URL, the analyze_page JSON, the detected business type, and the brand name.

| Subagent | File | Dimension | Weight |
|---|---|---|---|
| Content analyst | `agents/market-content.md` | Content & Messaging | 25% |
| Conversion analyst | `agents/market-conversion.md` | Conversion Optimization | 20% |
| Technical SEO analyst | `agents/market-technical.md` | SEO & Discoverability | 20% |
| Competitive analyst | `agents/market-competitive.md` | Competitive Positioning | 15% |
| Strategy analyst | `agents/market-strategy.md` | Brand & Trust + Growth | 20% (split) |

Each subagent returns a 0–10 score per sub-dimension, specific findings with quoted evidence, and concrete fixes.

**If a subagent fails or returns thin data**, fall back to running the checks yourself from the analyze_page JSON — never leave a dimension blank.

## Phase 3 — Synthesis

1. **Normalize scores** to 0–100 and apply the weights from the catalog.
2. **Compute the composite** and map to a letter grade.
3. **Deduplicate findings** — if Content and Conversion both flag the weak CTA, mention it once under the higher-impact dimension.
4. **Rank every finding** by revenue impact: `impact = monthly_traffic × expected_CR_lift × ARPU`. If traffic and ARPU aren't known, estimate conservatively and flag the assumption.
5. **Generate the action plan** in three tiers:
   - **This week (quick wins)** — under 1 day of work each
   - **This month (high-leverage)** — 1–3 weeks of work
   - **This quarter (strategic)** — 1–3 months of work

## Output: MARKETING-AUDIT.md

```markdown
# Marketing Audit — [Brand Name]
**URL:** [url]
**Business type:** [SaaS/Ecom/etc]
**Date:** [YYYY-MM-DD]

## Overall Score: [X]/100 — Grade [A-F]

[2–3 sentence executive summary: current health, top opportunity, estimated annual revenue impact of the recommendations.]

## Category Scores
| Category | Score | Weight | Status |
|---|---|---|---|
| Content & Messaging | X/100 | 25% | [Strong/OK/Weak] |
| Conversion Optimization | X/100 | 20% | ... |
| SEO & Discoverability | X/100 | 20% | ... |
| Competitive Positioning | X/100 | 15% | ... |
| Brand & Trust | X/100 | 10% | ... |
| Growth & Strategy | X/100 | 10% | ... |

## Critical Findings
[5–10 findings ordered by severity. Each has: severity label, one-line finding, evidence (quoted), and the fix.]

### 1. [Critical] Homepage headline is generic
**Evidence:** H1 reads "Welcome to Acme — The Platform for Modern Teams"
**Impact:** Visitors can't tell what you do within 5 seconds. Estimated 20–35% of bounces attributable.
**Fix:** Rewrite to specify the outcome and audience: "Cut reporting time 75% — automated analytics for B2B growth teams"

## Wins (keep doing)
[3–5 things the site does well, with specific examples.]

## Action Plan

### This Week — Quick Wins
1. [Specific action + expected impact]
...

### This Month — High-Leverage
1. ...

### This Quarter — Strategic
1. ...

## Methodology
Scored across 6 weighted dimensions (see `/market` skill for full rubric).
Automated data from `analyze_page.py`; qualitative analysis from 5 specialist subagents.
```

## Quality Bar

- Every finding must quote evidence from the actual page. If you can't quote it, don't include it.
- Every fix must be specific enough that a junior marketer could execute it without follow-up questions.
- Never report a score without the underlying finding — scores without evidence are theater.
- If the overall score is below 40, lead with that reality. Clients deserve honesty.
- If the site is genuinely strong, say so. An 85 is not a failure of the audit — it's an honest result.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [rediumvex](https://github.com/rediumvex)
- **Source:** [rediumvex/ai-marketing-claude](https://github.com/rediumvex/ai-marketing-claude)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-rediumvex-ai-marketing-claude-market-audit
- Seller: https://agentstack.voostack.com/s/rediumvex
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.