REGOR
AI agents for ecommerce teams.
Regor's specialized agents improve search, product ranking, and catalog content across your existing stack. Less manual upkeep for your team. Better product discovery for your shoppers.
Managed setup. Your existing stack. Your rules.
- Compatible with your existing stack
- Improves search relevance, product ranking, and catalog quality
- Review changes or automate eligible actions
- Every supported change is verified and reversible
The product discovery stack
One intelligence layer that turns better discovery decisions into more revenue.
Most ecommerce tools stop where the real work begins. A tool that only recommends creates another queue for already stretched teams. A tool that acts without shared context creates changes no one can fully explain, verify, or connect to business results. Add separate tools for search, ranking, and product data, and the merchant is still left to reconcile competing signals, permissions, and definitions of success.
Product discovery should be intelligent enough to improve itself and controlled enough to earn trust.
Regor brings shopper behavior, product data, performance signals, and merchant controls into one decisioning layer. It continuously identifies where demand is being lost, compares eligible responses across search, ranking, and product data, including the option to make no change, and carries the selected intervention through execution, verification, and measurement.
Regor measures what happened next and clearly labels the strength of the evidence behind every result.
Recurring failures, grounded signals
Compare eligible responses
Merchant policy sets the boundary
Apply, then verify
Evidence strength stays visible
Meet the agents
Meet the agents behind better product discovery.
From failed searches to incomplete product information, Regor's specialized agents work together to improve how shoppers find your products.
Recovery agent
Recover missed searches.
Help recurring failed searches connect with products you already carry.
Concierge agent
Understand detailed searches.
Interpret searches that include multiple product requirements.
Channel agent
Improve product descriptions.
Enrich descriptions using verified information from your catalog.
Catalog agent
Strengthen product tags.
Create consistent tags backed by facts in your product data.
Merchandiser agent
Improve product ranking.
Use trusted shopper click signals to inform which products appear higher.
Velocity agent
Keep up with shopper interest.
Apply temporary ranking signals when shopper click patterns change.
We handle setup. You stay in control.
We connect Regor to your storefront and catalog, configure the agents for your environment, and help you choose which supported changes to review or automate.
Why search matters
Search is where shopper intent becomes measurable.
Search shows what shoppers are actively trying to find, where relevant products are being missed, and where better discovery decisions can be connected to downstream behavior.
10,773,986
shopper behavior signals analyzed
Search, product-view, and purchase activity across an anonymized ecommerce dataset.
73.5%
of purchasers searched before buying
Search appeared in nearly three out of four converting journeys in the analyzed sample.
High-intent signal
Search captures what shoppers are actively trying to find, not just what pages they happened to visit.
Measurable failure
Weak results, failed queries, and missed product matches reveal where existing demand is being lost.
Close to revenue
Search behavior can be connected to product engagement and resulting orders when the evidence supports attribution.
Based on an anonymized enterprise ecommerce behavioral sample. Directional evidence, not a category-wide benchmark.
Full security and governance detail lives in the Trust Center.
FAQ
Common questions
Does Regor make changes automatically?
Yes, when you enable it. You set how far it goes, from watch-only, to approving each change, to permitting eligible low-risk actions to run on their own. Policy, tenant state and activation are checked again at execution, so an action that is no longer eligible does not run. High-impact changes can always wait for your review, and every action is recorded before it executes, so autonomy never means losing the audit trail.
Can Regor work with my existing search provider?
Regor is designed to work alongside your provider, not replace it. It finds where shoppers fail to reach products you already carry, then turns each finding into a proposed change. With Algolia, Regor can write approved changes through a Regor-managed namespace and defers to rules your team already manages. Regor does not currently write to Searchspring. There it identifies the gaps and presents proposed remediation for your team to apply.
How does Regor measure impact?
Regor records an action before it executes, then links directly attributed order events back to that action. Separately, eligible query and product actions are evaluated against matched controls where enough controls exist. Results that qualify receive a causal estimate with a 95% confidence band. Results that do not are labeled underpowered, contaminated, or pre and post, rather than presented as proven lift.
Can Regor improve my products’ visibility in AI search?
No platform can guarantee placement inside a third-party assistant, and we will not claim otherwise. What Regor does is add grounded tags and product descriptions built from verified catalog facts, so search systems and AI shopping assistants have cleaner, more complete product information to interpret. The claim is better machine readability, not guaranteed visibility.
Which ecommerce platforms does Regor support?
Headless and custom API stacks, BigCommerce, Adobe Commerce and Magento, and WooCommerce, alongside Algolia, Searchspring and Typesense. Write-back depends on provider capability and account configuration: Algolia supports it today, while Searchspring is audit and observe only. No replatforming is required.