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AI Assist can now draft new rules from a plain-language request, automating one of merchandisers’ most frequent manual tasks. Simple pins, category boosts and advanced consequences can all be built through conversation, with no JSON or developer needed. Drafts are labelled AI-assisted, open in the Visual Editor for review, including a drafted rule description, and these rules never publish without approval. 


", "url": "https://changelog.algolia.com/create-merchandising-rules-from-plain-language-with-ai-assist-4FoBBC", "title": "Create merchandising rules from plain language with AI Assist", "summary": "AI Assist can now draft new rules from a plain-language request, automating one of merchandisers’ most frequent manual tasks. Simple pins, c...", "date_modified": "2026-11-06T00:39:08.395Z", "tags": [ "New Feature", "Beta", "Merchandising" ] }, { "id": "451062", "content_html": "

Analyze rule and category page performance with AI Assist. AI Assist can now analyze the performance of rules and category pages, providing an insight into how merchandising strategies impact search performance. Assist can also provide feature analysis and more complex performance breakdowns, such as by-country, that would have previously required dedicated data science resource. 


", "url": "https://changelog.algolia.com/analyze-rule-and-category-page-performance-with-ai-assist-4wjaow", "title": "Analyze rule and category page performance with AI Assist", "summary": "Analyze rule and category page performance with AI Assist. AI Assist can now analyze the performance of rules and category pages, providing ...", "date_modified": "2026-11-03T16:59:10.376Z", "tags": [ "Enhancement", "Beta", "Merchandising", "Gen AI" ] }, { "id": "450449", "content_html": "

Agent Studio now supports the Agent2Agent (A2A) protocol, enabling external agents and orchestration frameworks to discover and interact with Agent Studio agents. Standardized agent cards allow compatible clients to identify agent capabilities and delegate tasks without Algolia-specific integrations. This simplifies integration with multi-agent workflows and enables greater flexibility in building AI applications. Click here to learn more.

", "url": "https://changelog.algolia.com/connect-agent-studio-agents-to-multi-agent-workflows-with-a2a-2FCFKo", "title": "Connect Agent Studio agents to multi-agent workflows with A2A", "summary": "Agent Studio now supports the Agent2Agent (A2A) protocol, enabling external agents and orchestration frameworks to discover and interact wit...", "date_modified": "2026-10-27T15:04:09.668Z", "tags": [ "New Feature", "Gen AI" ] }, { "id": "450448", "content_html": "

Agent Studio now supports automated evaluations to help assess agent performance before deployment. Test cases are generated from your search index and scored for relevance, faithfulness, and tone. View scores, pass rates, and confidence levels, then compare evaluation runs to measure improvements after configuration changes. This helps teams make informed updates with less manual testing. Click here to learn more.

", "url": "https://changelog.algolia.com/evaluate-and-improve-agent-performance-in-agent-studio-2Euhe8", "title": "Evaluate and improve agent performance in Agent Studio", "summary": "Agent Studio now supports automated evaluations to help assess agent performance before deployment. Test cases are generated from your searc...", "date_modified": "2026-10-27T15:02:23.319Z", "tags": [ "Enhancement", "Gen AI" ] }, { "id": "450447", "content_html": "

Automated suggestions proactively recommends Algolia features based on search performance and potential business impact. The initial release covers Dynamic Re-Ranking, Personalization, and NeuralSearch. View prioritized recommendations in the Algolia dashboard, understand their expected benefits, and access the relevant features to optimize search performance.

", "url": "https://changelog.algolia.com/discover-opportunities-to-improve-search-with-assist-suggestions-2DlSHS", "title": "Discover opportunities to improve search with Assist suggestions", "summary": "Automated suggestions proactively recommends Algolia features based on search performance and potential business impact. The initial release...", "date_modified": "2026-10-27T15:01:15.622Z", "tags": [ "New Feature", "Dashboard" ] }, { "id": "450163", "content_html": "

Dynamic Re-Ranking now offers a setting that combines clicks and conversions across records in the same Distinct group. This helps rank products based on engagement across their variants rather than treating each record separately, improving how product-level popularity influences search results. Click here to learn more.

", "url": "https://changelog.algolia.com/rank-grouped-records-using-combined-engagement-signals-27yx5C", "title": "Rank grouped records using combined engagement signals", "summary": "Dynamic Re-Ranking now offers a setting that combines clicks and conversions across records in the same Distinct group. This helps rank prod...", "date_modified": "2026-10-22T16:14:43.584Z", "tags": [ "Enhancement", "AI Search" ] }, { "id": "450060", "content_html": "

The No results agent in AI Assist analyzes searches that return no results and recommends ways to improve search performance. It identifies potential issues with search settings, searchable attributes, and synonyms, then suggests targeted fixes. Apply supported changes directly in AI Assist or follow guidance to address other issues, helping more users find relevant results.

", "url": "https://changelog.algolia.com/reduce-searches-with-no-results-using-the-no-results-agent-eBNv2", "title": "Reduce searches with no results using the No results agent", "summary": "The No results agent in AI Assist analyzes searches that return no results and recommends ways to improve search performance. It identifies ...", "date_modified": "2026-10-21T16:07:46.164Z", "tags": [ "Enhancement", "Beta", "Dashboard" ] }, { "id": "450456", "content_html": "

Native retail media network (RMN) orchestration is now generally available for Elevate Ecommerce customers. Connect any RMN provider using HTTP API key authentication and configure sponsored product groups without code in Merchandising Studio. Algolia handles external calls, result merging, and deduplication in a single request, reducing integration effort while maintaining search relevance. Click here to learn more.


", "url": "https://changelog.algolia.com/integrate-retail-media-ads-without-compromising-search-relevance-2Nzroc", "title": "Integrate retail media ads without compromising search relevance", "summary": "Native retail media network (RMN) orchestration is now generally available for Elevate Ecommerce customers. Connect any RMN provider using H...", "date_modified": "2026-10-15T15:42:57.000Z", "tags": [ "New Feature", "Composition API" ] }, { "id": "448524", "content_html": "

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.


", "url": "https://changelog.algolia.com/one-editor-every-rule-type-visual-editor.-eA9cQ", "title": "One editor, every rule type: Visual Editor.", "summary": "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 re...", "date_modified": "2026-09-28T23:32:55.760Z", "tags": [ "Enhancement", "Merchandising", "Dashboard" ] }, { "id": "447778", "content_html": "

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.

", "url": "https://changelog.algolia.com/query-suggestions-for-specific-categories-Dy1vq", "title": "Query Suggestions for Specific Categories", "summary": "Query Suggestions can now provide more relevant suggestions when shoppers search within a specific category, department, brand, seller, or o...", "date_modified": "2026-09-15T16:56:51.119Z", "tags": [ "Enhancement", "AI Search" ] }, { "id": "447124", "content_html": "

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.




", "url": "https://changelog.algolia.com/interpret-a-b-test-results-with-bayesian-experimentation-2IYhFK", "title": "Interpret A/B Test Results With Bayesian Experimentation", "summary": "A/B testing now supports Bayesian experimentation as an additional method for analyzing experiments. Bayesian results show the probability t...", "date_modified": "2026-09-02T21:45:09.362Z", "tags": [ "Enhancement", "AI Search" ] }, { "id": "446280", "content_html": "

When a pinned product becomes unavailable (because it went out of stock for example), Algolia previously filled that position with an organic search result, breaking the merchandiser's intended curation order. Now, we have introduced a new toggle “Shift pins to close gaps” in the Visual Editor when pinning which fixes this: enable the toggle on a rule and continuous pins will form a ‘pin block’ - when one pinned item inside the block becomes unavailable, the others shift up automatically. Off by default on existing rules, on by default for new ones. You can have many pin blocks or one big pin block. Learn more in this Algolia blog post and review the additional documentation here.




", "url": "https://changelog.algolia.com/introducing-pin-blocks---no-more-gaps-in-your-curation-1kFoZ2", "title": "Introducing Pin Blocks - No More Gaps in Your Curation!", "summary": "When a pinned product becomes unavailable (because it went out of stock for example), Algolia previously filled that position with an organi...", "date_modified": "2026-08-20T15:59:16.454Z", "tags": [ "New Feature", "Merchandising", "Dashboard" ] }, { "id": "446205", "content_html": "

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.

", "url": "https://changelog.algolia.com/shopify-app-now-uses-the-javascript-api-client-v5-4EaI6I", "title": "Shopify App Now Uses the JavaScript API Client V5", "summary": "The Algolia AI Search & Discovery app for Shopify now supports version 5 of the JavaScript API client. Some stores have been automatical...", "date_modified": "2026-08-19T17:09:54.867Z", "tags": [ "Enhancement", "API & Libraries", "E-Commerce Platform Integrations" ] }, { "id": "446153", "content_html": "

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.


", "url": "https://changelog.algolia.com/schedule-rules-with-confidence-timezone-selection-is-here-3H893i", "title": "Schedule Rules With Confidence: Timezone Selection Is Here", "summary": "Merchandisers running time-sensitive campaigns - flash sales, Black Friday and Cyber Monday promotions, midnight launches can now select a t...", "date_modified": "2026-08-18T15:39:25.307Z", "tags": [ "Enhancement", "Merchandising", "Dashboard" ] }, { "id": "445792", "content_html": "

Understanding your analytics is key to improving search performance, but finding issues or opportunities can take time.

AI Assist can now answer questions about your search analytics within the Algolia dashboard. Looking for a general overview? Ask Assist to summarize your search performance, highlight recent trends, or identify opportunities for improvement. Or, if you want to drill down into a specific question, ask about individual metrics or compare performance across indices or time periods.

To get started, open Assist and click “Analyze my search performance”, or ask your analytics question in natural language.

If you need to work with your data outside the dashboard, Assist can also generate downloadable CSVs containing the analytics you've requested, making it easy to continue your analysis offline.


", "url": "https://changelog.algolia.com/analyze-your-search-performance-with-ai-assist-1LUlna", "title": "Analyze Your Search Performance With AI Assist", "summary": "Understanding your analytics is key to improving search performance, but finding issues or opportunities can take time. AI Assist can now a...", "date_modified": "2026-08-11T17:27:55.034Z", "tags": [ "New Feature", "Beta", "Gen AI", "Dashboard" ] }, { "id": "445496", "content_html": "

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. 

", "url": "https://changelog.algolia.com/upgrade-to-docsearch-ui-library-v5-12ufvO", "title": "Upgrade to DocSearch UI Library V5", "summary": "DocSearch UI library v5 introduces an improved search experience powered by Agent Studio, with MCP-based tools, prompt suggestions, and conv...", "date_modified": "2026-08-06T20:22:20.100Z", "tags": [ "Enhancement", "API & Libraries", "Gen AI" ] }, { "id": "445494", "content_html": "

DocSearch MCP is now available in public beta, enabling MCP-compatible AI coding assistants to search current public developer documentation and answer with cited sources. No signup, API key, or authentication is required to use the hosted endpoint. This helps reduce outdated or unsupported answers by grounding responses in current documentation and making sources easy to verify. Click here to learn more.

", "url": "https://changelog.algolia.com/docsearch-mcp-brings-trusted-documentation-to-ai-coding-assistants-10dsti", "title": "DocSearch MCP Brings Trusted Documentation to AI Coding Assistants", "summary": "DocSearch MCP is now available in public beta, enabling MCP-compatible AI coding assistants to search current public developer documentation...", "date_modified": "2026-08-06T20:10:56.686Z", "tags": [ "New Feature", "Beta", "Gen AI" ] }, { "id": "445477", "content_html": "

Algolia's Shopify integration now supports Shopify's native B2B catalogs, in public beta. Signed-in B2B buyers see only the products their company location is entitled to, at their negotiated prices, across search and browse. Merchants turn it on in the Algolia app under Indexing > B2B settings. Click here to learn more.


", "url": "https://changelog.algolia.com/shopify-b2b-support-GUJCU", "title": "Shopify B2B Support", "summary": "Algolia's Shopify integration now supports Shopify's native B2B catalogs, in public beta. Signed-in B2B buyers see only the products their c...", "date_modified": "2026-08-06T17:20:17.507Z", "tags": [ "New Feature", "E-Commerce Platform Integrations" ] }, { "id": "445132", "content_html": "

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.

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", "url": "https://changelog.algolia.com/ai-agents-can-now-create-algolia-accounts-from-the-cli-3KwepW", "title": "AI Agents Can Now Create Algolia Accounts From the CLI", "summary": "AI agents can now create Algolia accounts and applications directly from the Algolia CLI, extending agent workflows beyond managing existing...", "date_modified": "2026-08-03T22:43:42.546Z", "tags": [ "Enhancement", "AI Search", "API & Libraries", "Gen AI" ] }, { "id": "446206", "content_html": "

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.


", "url": "https://changelog.algolia.com/set-up-a-b-tests-with-a-simpler-unified-interface-4Fj6CY", "title": "Set up A/B Tests With a Simpler Unified Interface", "summary": "We redesigned A/B test creation in the dashboard into one consistent experience. Select the test type, configure control and variant setting...", "date_modified": "2026-07-27T17:20:08.000Z", "tags": [ "Enhancement", "AI Search" ] } ] }