Prompt library

Picaro.AI offers 111 prompts across 17 categories for Amazon ads operations. Browse by what you want to do, or work top-to-bottom through the operational workflow — whichever fits.

How to use this prompt library

Prompts work as-is in any AI agent environment.

• Picaro.AI Dashboard — Paste a prompt into the AI chat inside the dashboard and run it.
• MCP connection (Claude / ChatGPT, etc.) — Paste it into an AI with the Picaro MCP plugin connected.

Use it through whichever AI agent fits your setup.

Prompts marked with an MCP only badge — in the list or at the top of a page — are only needed when using an MCP connection. In the Picaro.AI dashboard you can do the same things from the UI (prompts without the badge work in either environment).

Featured: Amazon recommended-bid trend analysis

Automatically detects trend direction and volatility from the time series of Amazon recommended bids and generates bid-adjustment proposals.

• See the prompt →
• Detailed usage →

Find by scenario

Improve ad efficiency

• Lower the bid on high-ACoS keywords
• Optimize daily budget by spend pace × ACoS
• Carve out zero-sale search terms as exclusion candidates
• Clean up duplicate delivery to recover wasted spend
• Optimize placement multipliers by CVR

Manage KPIs and targets

• Register monthly sales / ACoS / TACoS targets
• View dashboard KPIs with period-over-period comparison
• View KPIs by brand or use case
• Check this month’s budget pacing
• Compare multi-country accounts (US/UK/CA/AU etc.) side by side

Build new campaigns

• Build new SP campaigns
• Add keywords to existing campaigns
• Add ASIN targets to existing campaigns
• Detect Auto → Manual promotion candidates

Analyze sales

• Find search terms with the strongest sales contribution
• Look at market share against competitors
• Filter N-gram analysis by taxonomy
• View monthly SQP trend
• Look at funnel-stage performance
• Analyze unprofitability through a CAC/LTV lens
• Compute net ad profit contribution per ASIN

Audit and clean up targets

• Find untargeted high-potential KWs
• Detect creative fatigue
• Clean up low-CTR targets
• Identify highest Top-of-Search-share keywords

Measure the impact of actions

• Compare Before / After of an action
• Log an action so it can be measured later
• Record an external event (TV / sale)

Track change history

• View all changes in a period in one table
• Compare KPIs 2 weeks before and after a bid change
• Identify which changes drove KPI improvement

Create reports

• Generate an HTML report in one command
• Build the report step by step
• Save a report rule to reuse monthly

Manage accounts and labels

• Check connection status / switch accounts
• Design label taxonomy
• Auto-label competitor ASINs
• Register or infer campaign naming rules

Troubleshooting and inquiries

• Re-connect after a connection error
• Check the Picaro.AI version
• Send a bug report or feature request
• Review past feedback

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Browse by workflow

For an end-to-end operational flow, walk through the categories below in order.

1. Preparation (one-time setup)

Authenticate the ads account, register target values, and design the label taxonomy. Doing these first lets you omit parameters in later prompts and improves judgment accuracy.

• Connect your ads account4MCP only Picaro connection / Amazon ads account link / account switching / version check. The initial connection setup. See prompts
• Set monthly KPI targets4MCP only Register monthly targets for sales, ACOS, TACOS, and ROAS, plus favorite keywords and alert thresholds. Later tools reference them automatically. See prompts
• Design your label taxonomy7 Design taxonomies such as ad-role-first (hero / profit engine / defensive / exploration / cut) or product-line-first, and label ASINs, campaigns, and search terms. Adds new analytical angles. See prompts

2. Build campaigns

Build new Sponsored Products campaigns, and add KWs / ASINs / negatives to existing ones.

• Build campaigns7 From building a full new SP campaign set, to adding KWs, negative KWs, and ASIN targets to existing campaigns, plus quick-build presets. See prompts

3. Daily operational checks

Dashboards you check daily and weekly, period-over-period comparisons, and verifying the impact of actions.

• Review KPIs on the dashboard8 Period-over-period comparison of TACOS / ACOS / ROAS, KPIs by taxonomy, foreign currency support, Before/After comparison of actions, and multi-country comparison. See prompts

4. Improvement and optimization

Extract concrete actions from actual performance data. The four levers for closing the gap to your ACOS target.

• Adjust bids9 ACOS-based bidding, weighted adjustment across all targets, Amazon recommended-trend following, IS%, placement multipliers, and scenario-based bid plays. See prompts
• Adjust budgets6 Daily budget, monthly budget caps, pacing monitoring, and 90-day trend with budget-cap reach. See prompts
• Add negative keywords5 Detect exclusion candidates with high ACOS / zero conversions, clean up duplicate delivery, lock in judgment rules, and audit cross-campaign keyword overlap. See prompts
• Promote from Auto to Manual4 Carve out search terms performing in Auto campaigns and move them into Manual campaigns, end-to-end with the Auto-side negative. See prompts
• Target audit and inventory linkage8 Discover untargeted high-potential KW / ASINs, swap underperforming targets, detect creative fatigue, analyze Top of Search share, and plan SP coverage for uncovered ASINs. See prompts

5. Analyze search data

Deep-dive analysis focused on search terms. Look for hints for new plays.

• Decompose sales contribution with N-grams5 Break search terms into mono / bi / tri / 4-grams and run factor analysis using Sales = Imp × CTR × CVR × AOV. Supports taxonomy filtering, opportunity discovery, and scale-up assessment. See prompts
• View the market search funnel via SQP3 Decompose Search Query Performance into Impression → Click → Cart → Purchase, and identify opportunity scores and bottlenecks. See prompts
• Strategy analysis15 CAC/LTV, funnel decomposition, Brand vs Generic, budget allocation simulation, AMC advanced analytics, ASIN profitability — management-level strategic decisions. See prompts

6. Action logging and reporting

Log actions, measure their impact, and produce periodic reports.

• Log actions and measure impact8 Action log, external event recording, Before/After impact measurement, and change-history tracking. See prompts
• Create reports8 One-shot generation of monthly and weekly reports, contribution slides, data pre-check, HTML preview, plus monthly comparison and YTD summaries. See prompts

7. Operational support

Automation rules and inquiries.

• Configure automation rules9 Lock in bid, budget, and negative-judgment rules at the account level, plus scheduled and event-based automation. Includes proposal approvals. See prompts
• Support and feedback2MCP only Send bug reports, feature requests, and improvement suggestions directly to the dev team via the AI agent. You can also check the status of past feedback. See prompts

Prompt interaction patterns

Picaro.AI prompts fall into the following interaction patterns.

Pattern	Description
Instant display	Speak to the AI and a table or summary appears immediately
Analyze → Approve → Execute	The AI shows a proposal; say “execute it” to apply
Interactive creation	The AI confirms parameters in dialogue, then executes after preview
Interactive logging	The AI collects information through dialogue and records or updates automatically