8-Week Listing A/B Test with Perci AI

I want to update my Seller Central catalog. First, export every parent and child ASIN with its title, bullets, key attributes and variation theme into a sheet.
Then propose updates following these rules: [your rules]. Show me before/after for 5 sample variants.
After I approve the samples, apply the rest in batches of [20], and read each listing back afterwards to confirm the change saved. Stop and tell me if Amazon blocks or rejects anything.

Here are my competitors' 1-3 star reviews and return reasons: [paste].
1. List the questions buyers are really asking (e.g. 'Is it microwave safe?'), grouped and ranked by how often they come up.
2. For each of the top [8], write a bullet line that answers it with an exact spec from my product facts: [facts]. Format: "Question? Answer, with the number."
3. Use each keyword from my list only once: [keywords].
4. Suggest 5 Q&A pairs for a Premium A+ Q&A module.
Don't answer anything my facts don't cover; list those as gaps instead.

Help me build a launch helper for my Amazon catalog. Work step by step and check with me between steps.
1. From the product data I paste (one row per product), map each column to the Amazon flat file fields for category [category]. List any required field I don't have data for.
2. Fill the flat file rows for these products and flag anything you had to infer.
3. Draft launch campaigns for each product: take keywords from my winning campaigns (data pasted below), exclude keywords from campaigns I paused for overspending, and label each campaign as ranking or defensive.
4. Keep the campaigns as drafts. I'll enable them myself when the listing is live.
Product data: [paste]
Campaign data: [paste]

Check my advertising campaigns. If in the last 12 months, look back period. There are any search terms or ASINs in auto or broad campaigns that have more than 20 clicks, but no sales. Give it to me in a table that shows which campaigns are in how many clicks, how much spend.

Pull the all-time return rate for each of my SKUs, split by marketplace, plus units sold and the top return reasons.
Put it in a table sorted by units sold, and flag any SKU whose return rate is above its category average.

Using my Amazon Selling Partner data: show my top 10 ASINs by sales for the last 30 days with units, conversion rate and current FBA inventory. For the one with the lowest conversion rate, review the title and bullets and propose edits. Don't change anything until I approve each edit.