Web Development, Shopify App Development & AI App Integration

AI + Commerce Engineering

We build conversion-first websites and Shopify apps—and we integrate AI where it makes measurable impact: support automation, merchandising, content production, internal tooling, and retrieval-grounded experiences. Our approach blendstechnical SEO,AI visibility (GEO), andprompt-ready content structuresso both customersandbots can understand what you do quickly.

AI that fits your stack

The Genie Lab designs AI systems as products—not demos. We map a clear path from strategy to implementation: data, prompts, retrieval, evaluation, and deployment. The result is an AI layer your team can trust and iterate on.

AI model layers we use

Lightweight tier: a GPT-5 Mini class model for fast, cost-efficient tasks (classification, routing, short answers).
General-purpose tier: a GPT class model for reasoning, drafting, and higher-quality language outputs.
Long-form tier: our algorithmic multi-turn orchestration for longer content structures (planning → drafting → verification → rewrite).

Where AI creates value

Shopify customer support assistants grounded in policies and product data
AI merchandising: collections, bundling hints, and “similar products” reasoning
AI content pipelines for category pages, buying guides, and FAQ libraries
Internal tools: product QA, data cleaning, and ops automation

Shopify RAG App configuration

RAG (Retrieval-Augmented Generation) improves reliability by pulling the right context before the model responds. For Shopify, that means answers grounded in your store’s truth: products, variants, shipping rules, returns, sizing, and policies.

Typical RAG sources

Shopify products, collections, and metafields
Help centre articles,...
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AI App Integration

We integrate AI into Shopify and modern web stacks using secure APIs, event-driven automation, and careful data boundaries. You get an AI capability that behaves like a reliable feature—not an unpredictable chatbot.

Integration patterns

Embedded assistant UI in storefront and admin
Server-side orchestration...
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The Genie Lab delivers AI-powered web and Shopify solutions

RAG integration, technical SEO, and scalable, on-brand content to accelerate growth and optimize performance.

The Genie Lab delivers AI-powered web and Shopify solutions

RAG integration, technical SEO, and scalable, on-brand content to accelerate growth and optimize performance.

The Genie Lab delivers AI-powered web and Shopify solutions

RAG integration, technical SEO, and scalable, on-brand content to accelerate growth and optimize performance.

Web Development built for SEO + AI discovery

Great SEO starts with engineering: speed, structure, and clarity. We build pages that search engines can crawl efficiently and AI systems can summarise accurately—without losing nuance.

Technical SEO foundations

Information architecture that matches buyer intent (category → subcategory → product)
Clean internal linking and breadcrumb paths
Core Web Vitals improvements (LCP, CLS, INP)
Schema markup (Organization, Product, FAQ, Article, Service)
Indexation hygiene: canonical strategy, faceted navigation, and crawl budget control

Content written for SEO (and humans)

Topic clusters that align with commercial keywords and support questions
Reusable content blocks: benefits, specs, comparisons, FAQs
On-page entity clarity: who/what/where/why in the first 200–300 words
Editorial standards that keep voice consistent across scaled content
Quality checks: duplication, thin content, and factual drift

AI Visibility for GEO

GEO (Generative Engine Optimisation) is about making your brand and expertise easy for AI systems to retrieve, quote, and attribute. It’s not “tricking bots”—it’s removing ambiguity so machines can extract meaning faster.

How AI systems notice content

Retrieval: content must be findable (indexing,...
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FAQ: Shopify AI & SEO

Yes. We typically keep heavy AI work server-side and ship lightweight storefront components, with caching and careful event handling to protect performance.

We use retrieval grounding (RAG), constrained tool use, and evaluation loops. If the assistant can’t find source context, it should ask a clarifying question or say it doesn’t know.

SEO targets search ranking and click-through; GEO focuses on how AI systems retrieve, summarise, and attribute information. They overlap heavily in structure, clarity, and internal linking.

Both. We can write key pages and also build repeatable pipelines so your team can scale content safely (templates, prompts, QA rules, and publishing workflows).

We do both. When an off-the-shelf app fits, we configure it. When you need unique workflows, we build custom Shopify apps that integrate cleanly with your stack.

We route tasks by complexity and risk. Lightweight models handle routing, tagging, and short responses; full models handle reasoning and nuanced writing; multi-turn orchestration manages long-form consistency.