> ## Documentation Index
> Fetch the complete documentation index at: https://docs.searchthetrend.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Playbooks

> Copy-paste prompts that turn SearchTheTrend into your product-research analyst.

Once connected, paste any of these into your assistant. Replace the `[bracketed]` parts with a real domain, niche or product.

## Competitor X-ray

> *"Reconstruct the selling strategy of \[store domain]: its Facebook pages, funnels and best ads."*

Your assistant chains several tools (the brand's Facebook pages, its funnel door-map, its tech stack) into one analyst-grade breakdown. Real example of what comes back:

<Accordion title="Example: what the assistant returns for a real brand">
  For a men's-apparel dropshipper running one hero polo:

  * **One product, one machine**: \~3,300 active ads all pointing at a single Shopify product page (no advertorials). Pure volume on one winner.
  * **Three advertising pages**: the brand page plus two persona pages ("Matt Johnson", "Scarlett Hayes") that multiply auction presence.
  * **The scale story**: months of \~56 stable ads, then a single week of +489 new ads kicked off the ramp; peaked near 5,300 active before pruning dead variations.
  * **The winning ad**: title `⭐⭐⭐⭐⭐ 4.8/5`, copy *"The Last Shirt You'll Ever Wear 💥 75% OFF Today Only"*, straight to the product page. Frozen for a year, only the video rotates.

  The lesson the assistant draws: one hero product, one perfect page, scale by **creative volume** on the same concept, and localize with a per-market domain.
</Accordion>

## Morning brief (as a scheduled task)

> *"Every morning, find the trending products in my niche targeting Germany and send me the top 3 with who advertises them and the angle they use."*

Claude's scheduled tasks run this daily and message you the result, so your research is done before you sit down.

## Portfolio watchdog

> *"Check my saved products and tell me if any of them lost more than 30% of their active ads this week."*

Uses your own saved list plus live ad-count history to give you an early warning that a winner is cooling off.

## Scan any brand from chat

> *"Scan the brand \[store domain] and when it's done, break down its selling angles."*

Launches a live scan (costs credits) of a brand not yet tracked, then analyzes it once ready. Massive consolidated advertisers (the Nike/Gymshark class) are politely refused and your credits refunded, because SearchTheTrend focuses on emerging DTC brands you can learn from.

## UGC scripts from winning ads

> *"Pull the 5 longest-running ads for \[product] and write me 3 UGC scripts based on their copy."*

Turns the copy of proven, long-running ads into fresh creative angles you can shoot.