Vertex AI Search alternative for Shopify discovery
Google's AI Commerce Search (formerly Vertex AI Search for commerce) is a set of cloud APIs your team builds a storefront around. RecoMelon is enterprise visual discovery for large Shopify catalogues - before and after the purchase - that goes live within hours, configured remotely by our team, so you can see it side by side with your current setup before you commit.
Search that understands what shoppers mean. Conversational and contextual search interprets style, colour, attributes and intent. Dynamic merchandising balances commercial and catalogue priorities, while inline Shop Similar and integrated LiveGrid™ UGC keep shoppers discovering without returning to a static results grid.
Shop Similar, directly from the product image. When a product is "almost right", Reveal™ offers visually aligned alternatives from within the primary product image, above the fold. Shoppers stay on the PDP and keep their intent while finding an alternative without the attribute stopping the purchase.
Turn “almost right” into another relevant option. Shop Similar keeps high-intent shoppers exploring with visually matched alternatives based on the product they are already considering - helping them refine their choice without starting their search again.
Turn one product into a complete look. Complementary recommendations create multiple looks around a chosen product, with configurable discounts and multi-buy offers to increase AOV. Bundle Rescue swaps unavailable or unsuitable items for visually similar alternatives without breaking the set. Integrated LiveGrid™ content helps shoppers visualise the combination.
Abandoned Cart Email Rescue. Sending shoppers back to rejected products repeats the problem. SecondLook™ restores the abandoned basket and offers visually matched alternatives for each item - helping shoppers find a better fit while preserving basket intent and cross-sell opportunities.
The discovery problem
Google's commerce APIs return search results and recommendations to a front end your team builds. The shopper on a Shopify product page needs something visible now: a way from this nearly-right item to one with the right cut, colour or finish.
Bundles that break, abandoned carts and retired URLs are further moments where a store without visual recovery loses the sale while the build is still in progress.
Where RecoMelon fits
The Index™ supports natural-language product search, while VisualDNA™ connects products through their visual characteristics. Reveal™ and Shop Similar can support a shopper who has found a promising item but still needs a different detail or alternative.
Evaluate the relevant RecoMelon surface within Shopify using the brand's own products.
A successful test on that surface would establish its value for the shopping task, not equivalence with the wider capabilities of a Vertex AI Search deployment.
Coexistence and implementation
Retain the existing Google Cloud responsibilities that sit outside the proposed storefront test. Document the catalogue source, product and variant identifiers, market rules, rendering responsibilities and measurement events needed for the RecoMelon surface.
A native Vertex AI Search connector is not assumed. Confirm data access, implementation ownership and fallbacks with the teams responsible for both environments. Avoid making an enterprise search migration a prerequisite for a narrowly defined product-discovery evaluation.
Why enterprise teams choose RecoMelon
Built for large catalogues - up to 2 million SKUs on Enterprise - with the same engine on Starter and Growth for smaller merchants. RecoMelon covers all eight shopper-journey moments natively; Google AI Commerce Search's official materials document one of the eight. VisualDNA™ matches on cut, silhouette, colour, print and structure, and explains each match.
Enterprise teams we speak to typically plan 6 weeks to 3 months to take a discovery platform live. RecoMelon installs from the Shopify App Store and our team configures it remotely - hands-free for your developers and merchandisers - so it goes live within hours. Google's commerce search is API-first, with no Shopify App Store app, so a developer or SI builds the storefront integration.
Brand Kit™ carries your typography, colours, buttons and spacing across every RecoMelon surface, and ThemeFlex™ fits Shopify 2.0 blocks and custom themes without a rebuild. With Google's APIs, your team builds and styles the front end.
ColdStart™ and IntentWeave™ give new and long-tail products matches and attributes from their images as soon as they are published, with no sales history or manual tagging. Google claims new-item support; RecoMelon builds attributes from the image itself with IntentWeave™, with no tagging project.
Then prove it side by side. Run RecoMelon next to Google AI Commerce Search on the same product pages or categories, measure against your current baseline, and let the results make the case.
RecoMelon is enterprise visual discovery for large Shopify catalogues, live within hours and also available to smaller merchants. It covers all eight shopper-journey moments in the table below natively - before the purchase and around the basket. Google's official materials document one natively - conversational search - with visual similarity only through a separate image-search API now in maintenance mode. Google supplies the APIs; RecoMelon supplies the journey, ready to run in Shopify.
| Capability | | Google AI Commerce Search |
|---|---|---|
| Built for | Enterprise visual discovery for large Shopify catalogues, before and after the purchase - also available to smaller merchants | Google Cloud's managed commerce search APIs (formerly Vertex AI Search for commerce) |
| Before the purchase: discovery and decision | ||
| Conversational and contextual search | Yes - The Index™ reads natural-language requests ("a neutral summer dress with sleeves") against what products look like, with inline Shop Similar | Yes - Conversational Commerce agent |
| Visually similar alternatives on the product page | Yes - Shop Similar gallery and Reveal™ on the main product image, matched by VisualDNA™ on cut, colour, pattern and finish | Partial - separate Vision API Product Search, in maintenance mode |
| Shopper refinement inside recommendations | Yes - Dealbreaker™ Filters let shoppers rule out a sleeve, neckline, fit or colour in the panel | Not listed |
| Shoppable UGC and video | Yes - LiveGrid™ links UGC and video to exact products and visual alternatives | Not listed |
| Around the basket and after: order value and recovery | ||
| Create the look bundles and multi-buy | Yes - Bundles™ builds several complementary looks around one product, with multi-buy and discount strategies | Partial - Frequently Bought Together model |
| Bundle Rescue | Yes - swaps an unavailable or unsuitable item for a visual match without breaking the set | Not listed |
| Abandoned-cart email alternatives | Yes - SecondLook™ restores the basket and adds visually matched alternatives per item | Not listed |
| 404 and unavailable product recovery | Yes - RescueGrid™ turns dead product URLs into visually similar, in-stock alternatives | Partial - rules reroute out-of-stock results |
| Enterprise deployment | ||
| New products on day one | Yes - ColdStart™ and IntentWeave™ build matches and attributes from product imagery, with no sales history or manual tagging | Yes - claimed |
| Time to go live on Shopify | Within hours: Shopify App Store install, then configured remotely by the RecoMelon team - no tagging project or developer sprint | API-first; developer or SI build; no Shopify App Store app |
| Design fit with your theme | Brand Kit™, ThemeFlex™ and LayoutLab match your typography, colours and layouts without a rebuild | Front end built by your team |
| Pricing and trial | Public: Starter $179/mo, Growth $349/mo, Enterprise custom - $1 per day for 30 days | Usage-based: $2.50 per 1,000 searches, plus build costs |
Google's platform is the better fit if you run a headless, multi-channel estate with a cloud engineering team. RecoMelon is the better fit if you want visual product discovery live on Shopify without an API project, and if shoppers choose on looks.
Proof at enterprise scale: Across a 230,000-SKU home décor catalogue, DecoratorsBest reported about 5× more recommendation clicks and 4× more recommendation-influenced orders between 16 March and 15 April 2026. Read the case study.
Proof on the product page: Pretty Lavish raised average order value on recommendation-influenced orders from £126.75 to £159.18 (+25.6%) after adding Shop Similar galleries and Dealbreaker™ Filters. Read the case study.
Hours, not months. Install from the Shopify App Store and our team configures placements, styling and merchandising remotely - no catalogue tagging project and no developer sprint. Enterprise teams we speak to typically plan 6 weeks to 3 months for a discovery platform.
Yes - that is how we recommend starting. RecoMelon runs next to Google AI Commerce Search on the same product pages or categories, measured against your current baseline, so the results make the case before anything else changes.
Yes. Google can keep wider search responsibilities while RecoMelon owns product pages, bundles and recovery surfaces in Shopify.
Not assumed. RecoMelon runs inside Shopify directly, so it does not depend on one.
Sources: Google AI Commerce Search, Google retail pricing, Vision API Product Search, RecoMelon pricing. Checked 24 Oct 2026.
Our team configures RecoMelon remotely and it goes live within hours - no developer sprint, no catalogue project. Run it next to your current setup on the same product pages and let the results make the case.
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