Move beyond rules-based search to true AI-native product discovery

your account executive
Brendan McCormick

A leading fashion & apparel retailer replaced Algolia with Cimulate

33%
Clicks per visit
12%
Revenue
17%
Add to carts
Feature
Core Search
Natural language-based search, able to understand intent and context
Fast keyword + neural semantic search
Typo & Synonym Handling
Not included and unecessary for our engine to handle typos & synonyms
Strong native support
Synthetic Data
Unique: Millions of synthetic shopping journeys
None
Merchandising Tools
Rules (boost, bury, pin, hide) at the query and global level, analytics console, visual merchandising
Rules (boost, bury, pin, hide) at the query and global level, analytics console, visual merchandising
Performance & Scale
Enterprise-scale, cloud-native, adaptive to real-time intent signals
Enterprise-scale, cloud-native
Future Readiness
Agentic commerce: answer engines, MCP integrations
Vector/semantic search

CIMULATE IS TRUSTED BY

strengths

CommerceGPT – Unlike Algolia’s general-purpose semantic search, Cimulate trains a custom CommerceGPT model for each retailer, tuned with catalog and shopper data, which uniquely understands customer intent.

Synthetic Data Generation – Through a proprietary process called “Distillation via Simulation,” Cimulate generates millions of simulated shopping journeys to close the first-party data gap most retailers face which limits AI effectivness – something Algolia does not address.

Real-Time Adaptability & Controls – Cimulate focuses on real-time adaptability for merchandisers, giving override controls that balance AI with business intent. Algolia’s developer tooling exists to develop & tune a significant amount of rules & overrides.

Agentic Commerce Readiness – Cimulate builds for the future of answer engines, shopping assistants, and agent-driven commerce. Algolia extends traditional search with semantic AI.

at a glance

Platform: Search-as-a-service, built for speed and developer control.

AI/ML Layer: NeuralSearch (vector + keyword hybrid) improves semantic recall and reduces zero-result queries.

Developer-Centric: Popular APIs, front-end libraries, and widgets make it easy to integrate and customize

Features: Search, typo tolerance, synonyms, personalization, analytics, A/B testing, recommendations, and browse

Strength: Global scalability; widely adopted.

Two approaches to AI-powered product discovery
case study

Apparel Retailer Cuts 1,700 Search Rules with Cimulate

The team was manually managing over 1,700 search rules just to avoid shopper frustration
documentation

How Cimulate Builds Your CommerceGPT

Generic AI can’t deliver the personalized, contextual commerce experiences your brand deserves.

Book a meeting with
Brendan McCormick

Select a time below to schedule a meeting with Brendan McCormick. Or you can always email him at Brendan.McCormick@cimulate.ai

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