Start an AI Product Listing and E-commerce Content Service

Sellers with hundreds of SKUs know their listings are weak and never fix them because it is tedious; AI makes per-SKU work fast, but marketplaces punish keyword-stuffed AI filler, so the service that knows each platform's rules and writes for buyers wins the accounts.

1. 1

   Learn one marketplace's rules cold

   Title formulas, banned claims, image requirements, and keyword fields differ by platform, and violations get listings suppressed. Deep knowledge of one marketplace is worth more than surface knowledge of five.

2. 2

   Build the per-SKU workflow

   Keyword research, AI-drafted titles and descriptions edited for accuracy and voice, image recommendations, and backend keywords, all in a repeatable checklist. Accuracy matters: exaggerated AI copy creates returns and complaints.

3. 3

   Run a free ten-listing case study

   Optimize ten listings for one seller and track impressions, clicks, and sales for 30 days. A screenshot of listings moving up search results is your sales engine.

4. 4

   Price per SKU with project minimums

   Common early pricing runs $15 to $50 per SKU depending on depth, with catalog projects of 50-plus SKUs quoted as packages. Volume work is where the model gets profitable.

5. 5

   Niche by product category

   Supplements, home goods, or apparel each have their own keyword patterns and compliance quirks. Category focus makes you faster every week and referable within seller communities.

6. 6

   Add ongoing optimization retainers

   Seasonal keyword refreshes, new product launches, and A/B testing of titles and images give sellers a reason to keep paying monthly instead of disappearing after one project.

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