AI Semantic Product Search & Recommendations

Key Features

Semantic vector search that ranks products by meaning, embedding titles, descriptions, tags, variant options and selected metafields

Natural-language, intent-aware queries ('waterproof boots for muddy trails under $150') resolved without exact keyword matches

Typo tolerance and configurable synonym dictionaries (brand spellings, regional terms, abbreviations)

Personalized recommendation widgets — related products, frequently bought together, recently viewed, and complete-the-look — as theme blocks

Merchandising rules: pin hero products to specific queries, boost by margin or tag, and bury clearance or end-of-life lines

Live catalog sync via Shopify Admin GraphQL API plus products/collections/inventory webhooks so the index never goes stale

Multi-location inventory awareness — out-of-stock or low-stock variants can be down-ranked or hidden automatically

Faceted filtering by collection, price, vendor, product type and metafield values alongside semantic ranking

Search analytics dashboard: top queries, click-through rate, conversion-by-query, and trend over time

Zero-result query report surfacing unmet demand and synonym gaps you can act on

Storefront UI themed to your existing design via App Embed / theme app extensions, with autocomplete and instant results

OAuth-scoped install with read access to products and collections only; configuration and data remain yours

Built to order, done for you

No DIY setup — a working app, built, installed and supported by ECOSIRE.

You order

Start with a one-time build price. We scope it with you at kickoff.

We build & install

ECOSIRE builds, configures and installs it on your Shopify.

Go live + support

You go live in about 2–4 weeks, with a post-launch support window.

About this Product

Default Shopify search matches keywords against product titles, tags and a limited body-text index. It fails the moment a shopper types how they actually think — "warm jacket for winter hiking under $200" or "gift for a 5 year old who likes dinosaurs." AI Semantic Product Search & Recommendations replaces that literal matcher with vector (embedding-based) search that ranks products by meaning, not exact words.

This is a build-to-order solution, not an instant App Store install. ECOSIRE connects to your store via a Shopify OAuth app with read scopes on products and collections, ingests your full catalog through the Admin GraphQL API, and generates embeddings from titles, descriptions, metafields, variant options and tags. Webhooks (products/update, products/delete, collections/update, inventory_levels/update) keep the index live as your catalog and multi-location inventory change — out-of-stock variants can be down-ranked or hidden automatically.

On the storefront you get typo tolerance and synonym handling, faceted filtering, and personalized recommendation widgets ("you may also like," "frequently bought together," "complete the look") that adapt to browsing and order history. Your merchandising team keeps control through merchandising rules and pinning — boost margins, pin hero products to specific queries, and bury clearance lines.

You also get a search analytics dashboard: top queries, click-through, conversion-by-query, and a zero-result report so you can spot demand you currently can't fulfil. Everything is themed to match your storefront via App Embed / theme blocks, and ECOSIRE handles installation, tuning on your real query data, and ongoing support. You own the configuration and the data.

What you get

A Shopify OAuth app installed on your store with semantic search wired to your live catalog via Admin GraphQL API and webhooks

Initial embedding index built from your full catalog (titles, descriptions, metafields, tags, variants) and tuned on your real query logs

Storefront search experience (autocomplete, results page, typo/synonym handling) themed to match your design

Personalized recommendation widgets installed as theme app extension blocks on product, cart and collection pages

Merchandising control panel for pinning, boosting and synonym management, handed over to your team

Search analytics + zero-result reporting dashboard with access for your merchandising staff

Configuration documentation, a brief training walkthrough, and a defined support and update arrangement

Who this is for

Head of Ecommerce / Conversion Owner

Owns on-site conversion for a mid-to-large catalog and knows search converts at multiples of browse. Wants natural-language search and recommendations without spinning up an internal ML team, and needs proof via conversion-by-query analytics.

Merchandising Manager

Curates collections and campaigns and needs control over what surfaces for key queries. Values pinning, margin-based boosting, synonym management, and the zero-result report to spot demand gaps and fix catalog blind spots.

Ecommerce / Platform Developer or Agency

Maintains the Shopify theme and integrations and would rather hand off the embedding pipeline, webhook sync and indexing infrastructure than build and host it. Wants clean theme app extensions, scoped OAuth, and a maintainable handover.

How AI Semantic Product Search & Recommendations Compares

Criterion	ECOSIRE	Custom Build	Competitor
True semantic / vector search (ranks by meaning, not keywords)	Included	Included	Partial support
Natural-language, intent-aware queries with typo and synonym handling	Included	Partial support	Included
Built, installed and tuned for your specific catalog and query data	Included	Included	Not included
Live catalog and multi-location inventory sync via Admin GraphQL API + webhooks	Included	Included	Partial support
Merchandising rules: pinning, margin boosting, burying clearance	Included	Partial support	Partial support
Search analytics with conversion-by-query and zero-result reporting	Included	Partial support	Included
Instant self-serve install from the Shopify App Store	Not included	Not included	Included
Low predictable cost with no per-query / MSRR usage tiers	Included	Not included	Not included
Direct support from the engineers who built your installation	Included	Partial support	Not included

Frequently Asked Questions about AI Semantic Product Search & Recommendations

How long until it's live on my store, since this isn't an instant App Store download?

Correct — this is built to order for your catalog, not a one-click install. Typical delivery is about 2 to 4 weeks from kickoff, depending on catalog size, metafield complexity, and how much theme customization the storefront search UI needs. We start by connecting a scoped OAuth app and ingesting your catalog, build and tune the embedding index on your real query data, then install and theme the storefront experience. You'll get a timeline confirmed at kickoff.

What ongoing support and updates are included after launch?

ECOSIRE supports the installation after go-live: we monitor the webhook sync, retune ranking as your catalog grows, expand synonym dictionaries, and apply fixes. Because the index is driven by Admin GraphQL API and webhooks, catalog changes flow in automatically. Ongoing support, the response window, and how major Shopify API-version upgrades are handled are agreed in writing at purchase so there are no surprises. Support is direct with the team that built it.

Will this slow down my storefront or hurt my Core Web Vitals?

Search and recommendation requests are served from our index, not from synchronous Admin API calls, so results return fast and don't block page rendering. The storefront widgets load as theme app extension blocks and can be lazy-loaded. We tune the integration against your theme so it doesn't regress your Largest Contentful Paint or interaction latency.

How does it stay in sync with my inventory and catalog changes?

We subscribe to products/update, products/delete, collections/update and inventory_levels/update webhooks. When you edit a product, change a price, or stock moves across your multi-location inventory, the affected items are re-embedded or re-ranked. You can configure whether out-of-stock variants are hidden, down-ranked, or left visible with a stock indicator.

Do I own the system, and what happens to my data?

You own your configuration, merchandising rules, synonym dictionaries and analytics data. The OAuth app uses read scopes on products and collections — it does not need write access to your catalog or customer PII to function. We document the architecture and hand over admin access so your team controls merchandising. If you ever offboard, we remove the app and provide your configuration export.