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    pricing and selling ai services to local businesses

    1

    Price, package, and sell AI automations to local businesses using verified practitioner invoice data and CLI validation.

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    pricing and selling ai services to local businesses

    pricing and selling ai services to local businesses

    Example session with this skill installed

    I am pitching a lead generation system to a local roofing company. I want to charge $3,000 setup and $800/month. Is this a valid quote and how should I pitch it?

    • Read your context and instructions
    • Compiled the pricing and selling
    • Generated the document

    The proposed quote for a roofing lead system has been analyzed against practitioner-reported bands.

    AI Service Offer Analysis

    MetricProposed ValueMarket Band (Lead-System)Status
    Setup Fee$3,000$2,500 - $12,000Within Band
    Monthly Retainer$800$500 - $2,500Within Band
    Evidence LevelN/A4 Independent SourcesHigh Confidence
    StatusN/ACharged/InvoicedVerified
    Projected Margin~70%60% - 85%Healthy

    Recommended Acquisition Path: The Screen-Recording Sales Call

    Instead of a standard discovery call, use the following reported path:

    1. Identify 3 manual gaps in their current lead response (e.g., no weekend auto-reply).
    2. Record a 15-20 minute screen-share showing a working prototype of their specific lead flow.
    3. Send the video via DM/Email with a "pilot to retainer" structure.

    Deal Structure

    • Pilot: Offer a 7-day live pilot for a small friction-reducing fee or free.

    Lock-in: Bundle lead optimization reports into the $800/month to ensure the retainer is viewed as an investment, not an expense.

    • Anchor: Compare the $800/month to the cost of one lost roofing contract (approx. $8k-$15k).

    Next steps

    • Run python3 scripts/offer_check.py --setup 3000 --monthly 800 --service lead-system to confirm no effort-cost warnings.
    • Complete the assets/offer-worksheet.md to finalize the proposal terms.
    • Review references/failure-knowledge.md to avoid common integration traps with local CRM software.

    pricing-and-selling-ai-services-to-local.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Price AI retainers for local trades based on actual invoiced data.Validate margins for custom AI automation projects using a CLI checker.Select a proven acquisition path for pitching small business owners.Structure AI service offers to maximize recurrence and client lock-in.

    About this skill

    The problem

    Developers and agencies struggle to quote AI services, often guessing at rates or undercharging for complex automations. There is a lack of verified data on what local businesses actually pay for bots, lead systems, and internal CRUD apps.

    What it does

    • Provides price bands for 12 service classes based on practitioner-reported invoices from 2025 to 2026.
    • Validates quotes using a bundled Python checker to ensure they align with market evidence and internal effort costs.
    • Details specific client acquisition paths including the sitemap call and screen-recording sales methods.
    • Structures offers for recurrence using setup fees plus retainers rather than hourly billing.
    • Benchmarks delivery times for common tasks like local site skeletons and lead system installs.

    Frameworks & tools

    Python 3.8+ (standard library), Claude Code, Cowork.

    Why this beats prompting it yourself

    Generic LLM prompts often hallucinate high-ticket "dream" prices or suggest unrealistic "get rich quick" schemes. This skill uses a dataset that distinguishes between amounts actually invoiced and mere recommendations, backed by a CLI tool that hard-codes these constraints to prevent over-optimistic quoting.

    Use cases

    • Price a support chatbot for a multi-location dental practice or local contractor.
    • Calculate the margin for a lead generation automation before sending a proposal.
    • Choose a proven sales path for cold outreach to commercial cleaning businesses.
    • Audit an existing agency retainer to see if it fits documented market anchors.

    Known limitations

    Price bands are based on US market data in USD. Not for use with consumer apps, e-commerce products, or legal/tax advice.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 25 days ago

    • Passed all security checks, Safe to install

    Listed25 days ago

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