No more jumping between two rule editors. You can now build every type of rule right in the Visual Editor - context-only rules, remove or replace a word, replace a query, return custom data, and apply search parameters - along with matching facet placeholders for the Filter and Boost matching attributes consequence. Together with conditionless rules, which landed a few months ago, that means the full set. Set up your rules and preview exactly how they'll behave, all in the place you already merchandise. Click here to learn more.

Query Suggestions can now provide more relevant suggestions when shoppers search within a specific category, department, brand, seller, or other scope. Configure a browsing facet in the Dashboard to use your existing catalog structure and show suggestions that match the shopper’s selected scope. This makes experiences such as “Search within this category” easier to build and more relevant. Click here to learn more.

A/B testing now supports Bayesian experimentation as an additional method for analyzing experiments. Bayesian results show the probability that a variant performs better and provide credible intervals on the likely uplift of business metrics. Customers can choose between Bayesian and frequentist methods when creating a test and receive guidance when results indicate a Bayesian test is ready to stop.

The Algolia AI Search & Discovery app for Shopify now supports version 5 of the JavaScript API client. Some stores have been automatically migrated from v4 to v5 with the compatibility layer. You can review or change your current search client version under Search options → Search client version to either v5 (recommended), v5 with compatibility layer (which runs v5 while keeping most v4 calls working), or v4 (deprecated).

If your storefront uses custom JavaScript that calls the Algolia client directly, we recommend switching to v5 with compatibility layer first, then updating deprecated v4 calls using the JavaScript upgrade guide.

The compatibility layer is scheduled to be removed on February 14, 2027. Stores using custom v4 client calls should update their code and switch to v5 before then. JavaScript client v4 reaches the end of Algolia support on August 14, 2026, after which Algolia Support can no longer provide support for v4-specific issues.

Merchandisers running time-sensitive campaigns - flash sales, Black Friday and Cyber Monday promotions, midnight launches can now select a timezone directly in the date range picker when scheduling a rule. The Dashboard defaults to your browser's detected timezone and handles UTC conversion automatically on save, so promotions start and end exactly when intended. Available in the Visual Editor.

DocSearch UI library v5 introduces an improved search experience powered by Agent Studio, with MCP-based tools, prompt suggestions, and conversational memory. Users can also refine results with facet filters, breadcrumbs, and badges. Customers upgrading from v4 should review the migration guide, as some Ask AI parameters have changed. Click here to learn more. 

AI agents can now create Algolia accounts and applications directly from the Algolia CLI, extending agent workflows beyond managing existing accounts. Agents can also manage application settings after signup, while sensitive actions such as accepting terms, email verification, and billing changes continue to require human approval. This enables end-to-end agent-driven provisioning with appropriate safeguards. Click here to learn more.

We redesigned A/B test creation in the dashboard into one consistent experience. Select the test type, configure control and variant settings, set traffic allocation and test duration, and review the setup before launch. Contextual filtering and warnings help reduce configuration errors, making it easier to create correctly configured experiments. Click here to learn more.

Public MCP now supports a new multi-query signature with advanced AI search settings. Configure search parameters such as searchable attributes, ranking, and filters independently of index settings, and update them without recreating the MCP. Click here to learn more.

AI Assist now understands your configuration and uses this to provide advice that's tailored and relevant. A question like “Why do I have a high no-results rate?” will be met with targeted guidance on how to change your current set-up. Assist will also provide links to navigate you to relevant parts of the Algolia platform. This allows you to quickly find the relevant solution needed to take action on an Assist conversation. Assist is aware of your application’s current subscription tier and Algolia release version, and will only direct you to features you can access.