10 · AI automation · SEO · GEO · E-commerce
10,000 items — new copy, new images.
A reseller with around 10,000 items from dozens of brands barely ranked in search engines — because nearly all product copy and images had been taken over directly from the manufacturers.
- AI text generation
- AI image generation
- Nano Banana Pro
- SEO
- GEO
- Custom development
- PHP middleware
- MariaDB
- 10,000
- items with completely new copy and images
- 0%
- duplicate content once the pipelines finished
- 2 pipelines
- text + image — fully automatic, around the clock
01 · Problem
The client runs an online store as a reseller for around 50 well-known brands and carries approx. 10,000 items. As is common among resellers, product copy, short descriptions and images were taken over directly from the manufacturers — identical to thousands of other stores carrying the same brands. From an SEO perspective, a total loss: duplicate content on nearly every product page, hardly any relevance of its own for search engines, dismal rankings despite a decent product range. On top of that, the store was not geared at all to the requirements of AI-powered search systems such as ChatGPT, Perplexity or Google AI Overviews — GEO visibility: zero.
02 · Solution
vona built two fully automatic AI pipelines that rebuild the store's entire catalog independently of each other — and around the clock.
Pipeline 1 — copy: A PHP middleware reads each item from the store database, passes the product name, category and original manufacturer text to the AI and uses them to generate fully original, SEO-optimized product copy, short descriptions, meta descriptions and page titles — based on defined prompts that already incorporate tone of voice, keyword strategy and GEO requirements. All copy is written straight back into the store database.
Pipeline 2 — images: A second pipeline uses Nano Banana Pro to generate new, original product images based on the original product images — visually consistent, high-quality and no longer identical to the manufacturer assets. For every newly generated image, the pipeline automatically creates SEO-optimized alt text and assigns both to the respective item.
03 · Result
Both pipelines work fully automatically and process the entire catalog of approx. 10,000 products without manual intervention. Once both runs were complete: not a single item left with manufacturer-supplied copy or images. For the first time, the store has a content identity of its own — every product page is unique, relevant to search engines and geared to AI-powered search systems. Newly listed items pass through both pipelines automatically — which rules out duplicate content for good.
Related services
We can do this for you, too.
The services behind this project — with examples, process and frequently asked questions.
SEO & GEO
Classic search engine optimization and the new discipline of generative engine optimization — for visibility today and tomorrow. People no longer only search on Google, they ask ChatGPT, Perplexity and AI overviews. We make sure you are found and mentioned in both worlds.
Learn more →AI integration
We implement artificial intelligence where it creates real value in everyday work — from intelligent chatbots and AI workflows to the automation of recurring office tasks.
Learn more →Keep reading
Background from practice.
Blog
GEO: How to Become Visible in AI Answers
Generative engine optimization in practice: how ChatGPT, Perplexity and Google AI overviews find sources and what you can do to get named.
Read more →Blog
Automation with AI Workflows: A Guide with Checklist
Which processes suit AI automation, how a workflow is built, which tools exist and how to calculate expectations and benefit realistically.
Read more →Next project
Your project here?
Tell us about your problem. The first conversation is of course free of charge and without obligation.
Request a project →