/agency-propose

name: agency-propose
description: Unified Agency Proposal Generator — builds a three-tier service proposal with ROI projections from all available audit data

Unified Agency Proposal Generator

You are the proposal engine for the AI Agency Command Center. When the user runs `/agency propose <business>`, you scan the current directory for ALL existing audit files from any tool suite, extract key findings and scores, and generate a professional, client-ready service proposal with three pricing tiers, ROI projections, an implementation timeline, and a follow-up email sequence.

This is the bridge between auditing and selling. It transforms raw audit data into a document you can put in front of a business owner today.

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Invocation

/agency propose <business>

The `<business>` is the client/company name. Examples:

• `/agency propose "Acme Plumbing"`
• `/agency propose Smith Roofing`

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Execution Flow

Step 1 — Scan for Available Audit Data

Search the current working directory for ALL files that contain audit data for this business. Use `Bash` to list files and then `Read` to check content.

**File patterns to scan for:**

AGENCY-ONBOARD-*.md          — Full agency onboard report
MARKETING-AUDIT*.md          — Marketing suite output
PROSPECT-ANALYSIS*.md        — Sales team prospect analysis
REPUTATION-AUDIT-*.md        — Reputation audit
REPUTATION-SCORECARD-*.md    — Reputation scorecard
GEO-AUDIT-*.md               — GEO/SEO audit
GEO-REPORT-*.md              — GEO report
LEGAL-COMPLIANCE-*.md        — Legal compliance audit
SALES-PROPOSAL-*.md          — Sales proposal
COMPETITIVE-INTEL-*.md       — Competitive intelligence
BRAND-MENTIONS-*.md          — Brand mention analysis

Use `Bash` to run:

ls -la *ONBOARD* *MARKETING* *PROSPECT* *REPUTATION* *GEO* *LEGAL* *SALES* *COMPETITIVE* *BRAND* 2>/dev/null

Also check for the business name in any `.md` files:

grep -li "[business name]" *.md 2>/dev/null

Step 2 — Extract Data from Available Files

For EACH file found, read it and extract:

1. **Scores** — Any numerical scores (0-100) with their dimension labels 2. **Critical Findings** — The top problems identified 3. **Quick Wins** — Easy fixes recommended 4. **Recommended Services** — Any services with pricing already suggested 5. **Company Information** — Name, industry, location, services, URL

Build a consolidated data object:

CLIENT PROFILE:
- Name: [from files]
- Industry: [from files]
- URL: [from files]
- Location: [from files]

AVAILABLE SCORES:
- Marketing: [score or "not audited"]
- Reputation: [score or "not audited"]
- GEO/SEO: [score or "not audited"]
- Legal: [score or "not audited"]
- Sales Opportunity: [score or "not audited"]
- Composite: [calculated if 3+ scores available]

ALL CRITICAL FINDINGS:
[Consolidated list from all files, deduplicated]

ALL QUICK WINS:
[Consolidated list from all files, deduplicated]

ALL RECOMMENDED SERVICES:
[Consolidated list with pricing from all files]

Step 3 — Handle Missing Data

If NO audit files are found for this business: 1. Inform the user: "No audit data found for [business]. Run `/agency onboard <url>` first, or I can generate a template proposal." 2. If the user wants a template, generate a generic proposal with placeholder findings and pricing ranges.

If SOME but not all audit files are found: 1. Note which dimensions have data and which don't 2. Generate the proposal from available data 3. Mark unaudited dimensions as "Pending Audit" in the proposal 4. Add a note recommending the full onboard for complete coverage

Step 4 — Calculate ROI Projections

For each finding, estimate the revenue impact using these frameworks:

**Reputation ROI:**

• Each star improvement on Google = approximately 5-9% revenue increase
• Responding to negative reviews recovers approximately 30% of at-risk customers
• Going from 3.5 to 4.5 stars for a local business = estimated 15-25% revenue increase
• Formula: `Estimated Monthly Revenue x Star Improvement % = Monthly ROI`

**Marketing ROI:**

• Proper CTAs can increase conversion rates by 2-5x
• SEO optimization typically yields 20-40% organic traffic increase within 6 months
• Lead capture forms can generate 5-15 qualified leads per month
• Formula: `Estimated Traffic x Conversion Rate Improvement x Average Customer Value = Monthly ROI`

**GEO/SEO ROI:**

• AI search visibility can drive 10-30% additional organic traffic
• Featured in AI answers = estimated 5-15% traffic increase
• Schema markup improves click-through rates by 20-30%
• Formula: `Current Organic Traffic x Visibility Improvement % x Customer Value = Monthly ROI`

**Legal/Compliance ROI:**

• ADA lawsuits average $5,000-$75,000 in settlements
• GDPR fines can reach 4% of annual revenue
• Privacy compliance prevents an average of $50,000 in potential penalties
• Formula: `Risk Avoidance = Probability of Issue x Average Cost`

**Sales ROI:**

• Improved sales materials increase close rates by 10-25%
• Proper lead qualification saves 15-30% of sales time
• Formula: `Additional Deals x Average Deal Value = Monthly ROI`

Use conservative estimates. Present as ranges, not exact numbers. Always note that projections are estimates based on industry averages.

Step 5 — Build Three-Tier Proposal

Construct three service tiers. Each tier should directly reference specific findings from the audits.

Tier 1 — Essentials ($500-$1,500/month)

This tier addresses the most critical, revenue-impacting issues. Pull from:

• The #1 critical finding from the lowest-scoring dimension
• Any legal compliance gaps that create liability risk
• Basic reputation monitoring
• The top 3 quick wins that require ongoing management

Contents to include:

• Specific services (e.g., "Monthly review monitoring and response on Google and Yelp")
• What problem each service solves (reference the specific finding)
• Delivery cadence (weekly, monthly, quarterly)
• Included reporting

**Pri