Large or growing catalogues
Hundreds or thousands of products with missing, thin or supplier copy.
Overview
AI content automation uses large language models to create website content at scale — following detailed rules about your brand voice, structure, keywords, length and compliance. Instead of writing one product description at a time, a pipeline processes hundreds or thousands from your product data.
The difference between useful automation and generic AI copy is the rules, data and quality checks around the model. We design prompts for each content type, feed in accurate product information, check every output automatically and route anything unusual for human review.
We build these pipelines with tools your team already uses — Google Sheets, Google Colab and your Shopify or CMS export files — so you stay in control of every step.
Why it matters
Automation pays off fastest when you have a lot of similar content to create or update.
Hundreds or thousands of products with missing, thin or supplier copy.
Products and pages with duplicate or empty meta titles and descriptions.
The same products need different copy for each store or market.
New products arrive often and need content quickly.
Content must follow strict rules about claims, wording or platform policies.
Manual writing is too slow or expensive at your volume.
What we build
Each pipeline is designed for your products, your brand and your platform.
We build pipelines that turn your product data into unique, persuasive descriptions with consistent structure — headings, benefits, specifications and FAQs — following your brand voice and any compliance rules for your industry.
Ask about product description automation →What we do
Missing and duplicate meta data is one of the most common SEO problems in large stores. Our pipelines write unique meta titles and descriptions for every product, collection and page, with automatic length checks and keyword placement.
Ask about meta automation →What we do
We automate helpful intros, buying tips and FAQs for collection, category and brand pages, using your product range and keyword research — so every collection has content that ranks and helps shoppers choose.
Ask about collection content →What we do
AI is excellent at spotting and fixing inconsistent product data. We build rule-based pipelines that correct product titles, standardise attributes and flag errors, so your catalogue looks professional and performs better in search and feeds.
Ask about data clean-up →What we do
Every pipeline includes automatic checks for length, structure, banned words and missing information. Items that fail go to a review queue, and our editors (or your team) spot-check samples before anything is uploaded.
Ask about review workflow →What we do
Manual vs automated
How a custom pipeline compares with traditional writing and copy-pasting into ChatGPT.
| Factor | Manual copywriting | Copy-paste into AI chat | Custom AI pipeline |
|---|---|---|---|
| Speed | A few products per hour | One at a time | Hundreds per hour |
| Consistency | Varies by writer | Varies by prompt | Same rules for every item |
| Accuracy | Good with research | Can invent details | Uses your product data, checked |
| SEO | Depends on the writer | Basic | Keyword and length rules built in |
| Cost at scale | High | Low but time-consuming | Low per item |
| Upload | Manual entry | Manual entry | Bulk upload-ready files |
What's included
Every project includes a pilot batch, quality checks, documentation and training so your team can keep using the pipeline.
You own the pipeline and all content it produces. AI usage costs are passed on at cost.
Get a free consultationIndustries
We have built pipelines for retail catalogues with complex variants and strict compliance needs. The same approach works for fashion, beauty, wellness, electronics, home and B2B products.
AI content pricing
Project pricing for building the pipeline, plus optional ongoing runs.
Prove the value on one content type.
A complete pipeline for your catalogue.
We run and maintain the pipeline for you.
AI model usage is billed at cost and is usually very low per item.
Not when they are accurate, unique and genuinely helpful. Google evaluates content quality, not whether AI was used. Our pipelines use your real product data, unique structures and quality checks to avoid thin or duplicate content.
Yes. We create detailed voice and style rules from your existing content and preferences, and test them on a pilot batch before scaling.
We work with leading models such as Claude, ChatGPT and Gemini and choose the best one for each task based on quality and cost.
The pipeline only uses the product information you provide and includes checks for missing data and risky claims. Unusual items are flagged for human review.
Yes. We deliver files ready for Matrixify or Shopify’s CSV import, or upload them for you.
No. Pipelines run from Google Sheets and Google Colab with step-by-step documentation and training.
Usually a fraction of a rupee or cent per item. We estimate costs before every run.