Quick verdict. Choose Constructor if you are a high-traffic retailer where personalisation and merchandising across millions of sessions drive revenue. Choose Xearch if you sell technical products to professionals, your catalog is long-tail, and relevance has to come from specifications and product knowledge rather than click volume.
What Constructor is
Constructor is an ecommerce search and discovery platform built around behavioural data. It uses reinforcement learning on clicks, add-to-carts and purchases to rank search and browse results, with merchandising controls on top. In 2026 it promotes an AI Shopping Agent that answers natural-language queries with in-stock, personalised results, an AI Product Insights Agent for product pages, and a retail media suite. Its best-known customers are large consumer retailers in beauty, apparel, grocery and pet, and it has added B2B distribution customers.
Pros and cons
Where Constructor shines
- Ranking that optimises for revenue and conversion, not only text match
- Strong personalisation from first-party behavioural data
- Merchandising tools built for retail teams
- Conversational shopping agent and product Q&A
- Proven at very large retail scale
Where B2B teams hit friction
- Behaviour-driven learning needs traffic; long-tail SKUs get little signal
- Built around consumer shopping journeys rather than RFQs and quotes
- Onboarding and integration take meaningful time
- Enterprise pricing aimed at large retailers
Ideal use cases for Constructor
- Large B2C retailers with deep traffic and frequent repeat purchases.
- Merchandising-led teams that want to steer results toward margin, stock and campaigns.
- Brands investing in retail media on their own site.
Constructor vs Xearch for industrial catalogs
| Constructor | Xearch | |
|---|---|---|
| Main relevance signal | Shopper behaviour at scale | Product attributes and your domain knowledge |
| Works on low-traffic SKUs | Less signal to learn from | Yes; relevance doesn’t depend on clicks |
| Spec and unit queries | Natural-language agent; depends on data modelling | Built in: numbers and units become filters |
| Part-number compatibility | Not a core feature | Built in |
| Sales handover | Not a core feature | Built in, with lead capture |
| Best for | High-traffic consumer retail | Technical B2B and industrial catalogs |
When to choose which
Pick Constructor for a consumer storefront where millions of sessions give the model plenty to learn from and merchandising is a daily job.
Pick Xearch when a buyer searching for a replacement wheel by part number might be the only person to search for it this week, and getting it right still matters. Talk to an expert about your catalog.
Frequently asked questions
What is Constructor?
Constructor is an AI search and product discovery platform for ecommerce. It ranks results using behavioural signals and reinforcement learning, and offers an AI Shopping Agent and an AI Product Insights Agent for conversational shopping.
Does Constructor work for B2B?
Constructor has added B2B distribution customers, but its core advantage is learning from large volumes of shopper behaviour. B2B catalogs with many low-traffic SKUs give it less signal to learn from.
Why does traffic matter for search relevance?
Behaviour-driven ranking improves as more people search, click and buy. A long-tail industrial SKU might be searched a few times a month, so relevance has to come from product data and domain knowledge rather than clicks.
Sources
- Constructor posts surge on AI retail search momentum (CMOtech, March 2026)
- The 7 best Constructor alternatives for eCommerce search in 2026 (Ringly)
This comparison is written by the Xearch team and is based on vendors’ public documentation, announcements and independent reviews available at the time of review. Features and pricing change; confirm details with each vendor. All product names and trademarks belong to their respective owners.