AI agency for e-commerce: build faster, sell better

An AI agency for e-commerce uses language models where an online shop has many tasks of the same kind: product descriptions, translations, keyword lists, ad variations, customer enquiries and reports. Rankist has worked with Shopify since 2015 and has seen in 293 projects which work comes up in a shop again and again. That work is the starting point for AI, not the technology.

What an AI agency for e-commerce actually does

Rankist uses AI in its own business first. Our shop platform and the agent processes behind it take over routine work before a person checks and approves the result. We apply the same approach to client shops:

• Product and category descriptions based on your brand voice, target audience and search intent, checked by a person before publication
• Translations into many languages, including DE, FR and IT for Switzerland, with a glossary and a proofreading round
• Keyword research, topic clusters and content production for blog and categories
• Ad creatives and copy variations for Google and Meta, which are then tested in the account
• Relief in customer service through suggested replies and pre-sorting of enquiries
• Data analysis from Shopify, Klaviyo and Google Search Console in plain-language reports
• Agent processes that trigger recurring checks in your shop, for example for missing texts or images

All of these points reach into shop, SEO, ads and email. That is why the team that looks after your shop as your Shopify agency also delivers the AI processes to go with it.

AI agency Switzerland: product descriptions and translations checked by people

AI product descriptions are the most common starting point. A shop with 500 products in three languages needs 1500 texts, plus meta descriptions and alt texts. A model produces the first draft from product data, supplier texts and your guidelines. The draft alone is not enough. Someone from our team or yours checks facts, dimensions, materials and legally sensitive statements. For CBD shops this means: no claims about effects.

For translations we work with one glossary per brand. Product names, technical terms and tone of voice stay consistent across all languages. For Switzerland we also check the spelling with ss and the terms that differ from Germany.

Generative AI in marketing: how an AI agency connects keyword research, content and ads

We pull search queries from Search Console, add tool data and let a model derive topic clusters and search intents from them. An SEO lead reviews the result before it becomes an editorial plan. The texts follow the same rules as the category descriptions we write as a Shopify SEO agency: clear structure, our own examples, no duplicates.

In ads, generative AI delivers variations. From one approved message come ten headlines, five descriptions and suggestions for visuals. Which variation wins is decided by the test in the account, not by the model. Read more at our Google Ads agency. For CBD, hemp and nicotine, advertising policies restrict ads heavily. There, the AI work goes into SEO and email instead of ads.

AI agency for customer service and data analysis in the online shop

For us, AI customer service in a shop means: pre-sort enquiries, attach a suggested reply to standard questions about delivery time, returns or invoices, and assign everything else to a person. The team member sees the suggestion, adjusts it and sends it. A chatbot without oversight makes sense in very few shops, because a wrong answer about customs or returns costs more than a minute of checking.

In data analysis we connect Shopify orders, Klaviyo metrics and Search Console data. A model describes anomalies in words: which category is losing clicks, which flow brings orders, which products are viewed often and rarely bought. Interpretation and action stay with the team. How email automations fit into this cycle is shown by our Klaviyo agency.

What an AI agency does not replace

A model does not know your brand. Strategy, positioning and the choice of markets stay with you and the people who work with you. Every approval is made by a person. The legal review of product claims, price information and advertising statements is never done by a model, because it does not carry the liability. You define the brand voice: the model follows a style guide, it does not write one. Automation with AI works when this framework is clear. Without a framework, it produces a lot of text but little revenue.

Limits and risks that an AI agency talks about openly

• Hallucinations: models invent facts, dimensions, certificates or ingredients. Every number in a text needs a source in your product data.
• Duplicate content: without your own examples and structure, texts end up resembling those of hundreds of other shops. Google devalues such pages.
• Data protection: customer data from orders or support tickets does not belong in an external model unfiltered. We anonymise or work with data processing agreements.
• Revised Swiss Data Protection Act: since 2023, new duties apply regarding information, data security and automated individual decisions. An AI process in your shop has to meet them, and your privacy policy has to mention it.
• Dependency: we build workflows so that the model stays replaceable.

We do not quote figures on time savings before we have measured them in your shop.

AI consulting for SMEs: how a project with the AI agency works

An AI project for an SME starts with an inventory: which tasks come back every week, who handles them today, where errors occur. From this we choose one process with a clear input and output, for example product descriptions for one category or the pre-sorting of support emails.

Then comes a pilot with a limited scope: one range, one language, one period. Beforehand we define how we measure success, such as correction effort, publishing speed or response time. Only with these figures do we roll the process out to further categories, languages or channels. The effort depends on data quality, the number of languages and the level of review. You get an estimate in the first conversation.

Why e-commerce is the best starting point for an AI agency

In few industries can the benefit of AI be measured as directly as in an online shop. A shop has hundreds of recurring text tasks with the same structure. Every change to texts, ads or emails shows up in clicks, conversion and revenue within weeks. The data is already there: in Shopify, in Klaviyo, in Search Console. AI for online shops therefore has a short path from experiment to impact. How AI fits into the interplay of shop, SEO, ads and email is described by our e-commerce agency. Which tools we use and how we evaluate them is covered in our guide to tools.

Typical use cases for an AI agency in Zurich and across Switzerland

From the canton of Schwyz we support brands in Zurich, Basel, Bern and all of German-speaking Switzerland. These use cases come up most often:

• Product descriptions for a new range in DE, FR and IT, checked before import into Shopify
• Updating existing category descriptions after a keyword analysis from Search Console
• Ad variations for seasonal campaigns, tested against the existing ads
• Suggested replies for recurring support questions, approved by the team
• Weekly reports that summarise Shopify, Klaviyo and Search Console data in words
• Review processes that flag missing translations, images or metadata in your shop

Each of these cases starts small and is only rolled out after a measured result. That way, AI in your shop remains a tool that you control.