SuggestAPISuggestAPI

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Product thinking, search insights, and launch notes.

Articles for teams building smarter search, better discovery, and more useful suggestion experiences.

October 8, 2026 • Priya Nilsen

SuggestAPI Adds Principal Agent Protocol Support

An experimental guest catalog pilot for PAP, the IETF draft that gives agents signed, scoped, expiring authority instead of a shared API key.

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A shopper asks an assistant to find a wine that pairs with braised short ribs. A signed mandate lists catalog search, limited sharing, and an expiry, then SuggestAPI searches the merchant catalog.

October 5, 2026 • Jonah Reed

Six Integrations, and You Still Own the Catalog

Google Shopping, Merchant Center, Supabase, WooCommerce, Vendure, and Convertmax. SuggestAPI sits in front of the system that already owns your products.

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Diagram of Google Shopping, Merchant Center, Supabase, WooCommerce, Vendure, and Convertmax feeding SuggestAPI, which serves shoppers and agents.

October 2, 2026 • Mara Ellison

One Shopper, Two Jobs: How SuggestAPI and Cloudflare AI Search Work Together

AI Search handles knowledge. SuggestAPI makes catalog discovery faster with edge cache, so the full assistant answer does not wait on origin search.

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Diagram of one shopper query splitting into Cloudflare AI Search for return-policy knowledge and SuggestAPI for edge-cached hiking-boot product discovery, then merging into one assistant answer.

September 30, 2026 • Elena Voss

Now Available: SuggestAPI for WordPress + WooCommerce

The new SuggestAPI WordPress plugin gives WooCommerce stores fast product search, background catalog sync, and optional AI catalog discovery.

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SuggestAPI for WordPress and WooCommerce: fast product search, automatic catalog sync, and AI catalog discovery on a WooCommerce storefront.

September 28, 2026 • Cole Hartwell

From Shopping Intent to a Merchant-Owned Cart

UCP can carry shopping intent from an AI conversation into a merchant-owned cart. Here is how Commerce Gateway is designed to support Google and Shopify handoffs.

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Diagram of a hiking-boots shopping job moving through discovery and a commerce gateway into a merchant-owned cart, with Google UCP and Shopify as separate protocol edges.

September 24, 2026 • Priya Nilsen

The Product Card Is No Longer the Answer

Claude commerce experiences and OpenAI Sponsored Agents point to the same shift: product cards now need the context to sustain a shopper conversation.

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Diagram of a product card leading to a follow-up question, then to variant, stock, attribute, and policy evidence drawn from catalog, inventory, policy, and cart systems.

September 17, 2026 • Jonah Reed

UCP Handoff Starts With Discovery, Not Checkout

SuggestAPI helps agents carry shopping intent into product discovery and a merchant-owned handoff. Here is what is live today, what UCP enables, and what comes next.

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Diagram of an AI shopping assistant sending a hiking-boots request through SuggestAPI UCP catalog search, then handing off to a merchant-owned checkout destination.

September 16, 2026 • Mara Ellison

PIM for E-Commerce: Why Better Product Data Matters More Than Ever

What a PIM is, when an e-commerce business needs one, and how centralized product data supports discovery, conversion, and growth.

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Diagram of product sources flowing into a PIM that enriches and approves a source-of-truth record, then distributing complete product data to storefront, marketplace, feed, and AI shopping channels.

September 15, 2026 • Elena Voss

Power product discovery for Claude Commerce agents

Claude handles the shopping conversation. SuggestAPI connects that job to the catalog you already run. A live demo and GitHub adapter let you try search_products yourself.

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Diagram of a shopper job flowing through a commerce agent and a product-discovery layer into existing catalog and search systems, then back as a ranked product shortlist.

September 14, 2026 • Cole Hartwell

AEO Citations vs. Finding Products People Can Actually Buy on Your Storefront

A citation in an AI answer is not a product result. AEO earns visibility; discovery has to return current, buyable items and a path to checkout.

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Split graphic comparing AEO citations in an AI answer with storefront product discovery that shows in-stock trail running shoes and add-to-cart.

August 26, 2026 • Priya Nilsen

MCP and WebMCP at SuggestAPI: One Discovery Layer, Two API Surfaces

Tenant-aware commerce tools on the Agent Gateway via MCP and WebMCP, while api.suggestapi.com stays the direct Search Acceleration API for storefronts and apps.

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Diagram of one SuggestAPI discovery layer serving two API surfaces: api.suggestapi.com for storefront search and agent.suggestapi.com for MCP and WebMCP commerce tools over the merchant catalog.

August 22, 2026 • Jonah Reed

Can an AI Shopping Assistant Actually Search Your Catalog? A 6-Point Check

A practical checklist for live inventory, intent, variants, policies, storefront handoff, and discovery analytics, without replacing your search engine.

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Diagram of a product catalog flowing through a structured search layer so an AI shopping assistant can match live inventory, variants, and a storefront handoff.

August 19, 2026 • Mara Ellison

SuggestAPI Skills: Give Your Coding Agent the Right Search Playbook

Job-specific Agent Skills for catalog search, autocomplete, Shopify, migrations, agent retrieval, and catalog ingestion, so the agent follows the playbook instead of guessing.

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Diagram of a coding agent loading SuggestAPI Skills playbooks for catalog search, autocomplete, Shopify, migrations, and ingestion while keeping provider credentials on the server.

August 15, 2026 • Elena Voss

SuggestAPI Adds UCP Catalog Search Support

Tenant-scoped Universal Commerce Protocol catalog search over REST: free-text queries, category and price filters, and cursor pagination without replatforming checkout.

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Diagram of an AI shopping assistant sending a product request through SuggestAPI UCP Catalog Search to a tenant merchant catalog, then handing off to storefront checkout.

August 3, 2026 • Cole Hartwell

Utilizing Google Shopping Feeds for Ecommerce AI SEO

Why your Merchant Center feed now drives AI Mode and AI Overviews visibility, and how SuggestAPI publishes a Shopping-compatible feed from your search index.

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Diagram of a product catalog flowing through a Google Shopping feed into AI Mode and shopping discovery surfaces.

July 25, 2026 • Priya Nilsen

Beyond llms.txt: How to Make Your Ecommerce Catalog Truly Agent-Ready

Why static AI guidance is only the starting point. Live commerce still needs structured capability discovery, current catalog search, and safe checkout handoff.

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An ecommerce product catalog flowing through a structured capability network to AI search, product selection, and merchant-controlled checkout handoff.

July 21, 2026 • Jonah Reed

Autocomplete API Reddit

The questions teams ask before they pick an autocomplete API, without a vendor bake-off or a search migration.

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Illustration of a developer at work with ecommerce and discovery icons, representing evaluation of autocomplete search software.

July 16, 2026 • Elena Voss

SuggestAPI Now Supports the HTTP QUERY Method

HTTP QUERY (RFC 10008) brings safe, idempotent semantics to structured full-search requests. POST /query is still available for compatibility.

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Technical diagram of an HTTP QUERY request carrying a structured JSON body through a search API layer to catalog backends.

July 16, 2026 • Mara Ellison

SuggestAPI Implements Google’s Agentic Resource Discovery Specification

SuggestAPI now publishes an ARD-compatible catalog: The Discovery Layer for AI Agents and an Agent Search Layer for live commerce.

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Abstract diagram of agentic resource discovery: a central capability catalog connected to APIs, tools, and commerce search surfaces.

July 9, 2026 • Cole Hartwell

Google ARD Reddit

What Agentic Resource Discovery actually is, and how it differs from a text file and a checkout bot.

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Abstract diagram of agentic resource discovery: a central capability catalog connected to APIs, tools, and commerce search surfaces.

June 17, 2026 • Priya Nilsen

The OpenRouter for Search: Why Retrieval Needs an Abstraction Layer

One API in front of every search engine. Route queries, normalize results, and stay in control: the universal retrieval layer for AI agents.

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Diagram showing SuggestAPI as the OpenRouter for Search: one API routing LLM applications to Algolia, Typesense, Elasticsearch, and Meilisearch.

June 14, 2026 • Jonah Reed

SuggestAPI Now Supports Google's Open Knowledge Format (OKF)

Expose curated knowledge as structured, agent-ready OKF bundles using Google's open standard.

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Open Knowledge + SuggestAPI: your search powers the knowledge, automatically.

May 20, 2026 • Mara Ellison

Search Suggestions API Reddit

Why prefix autocomplete fails in production, and what a search suggestions API should return before the shopper hits Enter.

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Futuristic illustration of a search query flowing into a network and ranked suggestion results for a search suggestions API.

May 13, 2026 • Elena Voss

How to Choose Autocomplete Search Software for a Modern Product

A practical evaluation guide for teams comparing autocomplete API tools, typeahead products, and search suggestion systems.

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Illustration of a developer at work with ecommerce and discovery icons, representing evaluation of autocomplete search software.

May 12, 2026 • Cole Hartwell

What a Search Suggestions API Should Do Before the User Hits Enter

Why the strongest suggestion systems help users make progress instead of only predicting text.

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Futuristic illustration of a search query flowing into a network and ranked suggestion results for a search suggestions API.

May 8, 2026 • Priya Nilsen

Modern Agents Need Search, but They Also Need Intent Understanding

Why production AI agents need both retrieval and intent-aware ranking to turn fuzzy requests into the right next action.

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A visual showing raw data sources feeding an AI agent search system that performs semantic matching and intent ranking before routing to the user's goal.

May 6, 2026 • Jonah Reed

Understanding the Dimensions of User Intent: A Key to Modern Search

A practical framework for how content understanding, user understanding, and domain understanding work together to power intent-aware search.

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A three-circle diagram showing Content Understanding, User Understanding, and Domain Understanding intersecting around User Intent.