Coveo

Ecosystem

Enterprise AI relevance platform for B2B and B2C commerce search with configurable ML ranking pipelines. Supports CQL-structured queries and knowledge-augmented results where product listings can include relevant documentation and specifications.

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Coveo is an enterprise relevance platform deployed heavily in B2B commerce and large-scale B2C retail. The platform's ML ranking pipelines combine query features, user signals, and item attributes into configurable relevance models that each customer trains and tunes independently.

The commerce search capability handles product discovery, service catalog querying, and knowledge-augmented commerce where product results are accompanied by relevant documentation, guides, or support content. This knowledge augmentation is useful in complex B2B purchasing contexts where buyers need specifications, compatibility guides, or installation instructions alongside product listings.

Coveo's query pipeline concept is central to its differentiation. Query pipelines are sequences of ranking stages, filters, and conditions that administrators configure per search context. A product search pipeline applies different ranking weights than a support article pipeline. Agents can target specific pipelines by name to receive results appropriate for their search context.

The REST API supports fielded queries using the Coveo Query Language (CQL), a structured query syntax for combining full-text search with attribute filters, date ranges, and numeric conditions. A headless JavaScript SDK is also available, but the REST API is the practical surface for server-side agent integrations. Coveo integrates with Salesforce Commerce Cloud, SAP Commerce, and commercetools through pre-built connectors.

Why This Matters for UCP

Coveo provides enterprise AI search with configurable ML pipelines and CQL query language for complex B2B and large-scale B2C commerce, giving agents structured product discovery with knowledge-augmented results before UCP checkout in high-complexity purchasing scenarios.

UCP Capabilities

product discovery

UCP Endpoint

Ecosystem — Endpoint not yet publicly available

Integration Example

// Coveo REST API for enterprise AI product search.
// Agents use CQL syntax to query configurable ML ranking pipelines.

const orgId = process.env.COVEO_ORGANIZATION_ID!;
const COVEO_API = 'https://' + orgId + '.org.coveo.com/rest/search/v2';
const token = process.env.COVEO_API_TOKEN!;

const search = await fetch(COVEO_API, {
  method: 'POST',
  headers: {
    Authorization: 'Bearer ' + token,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    q: 'industrial pump 3-inch',
    cq: '@ec_category=("Pumps") AND @ec_price<5000',
    pipeline: 'ProductSearchPipeline',
    numberOfResults: 10,
    fieldsToInclude: ['ec_name', 'ec_price', 'ec_product_id', 'ec_images', 'ec_in_stock'],
    context: { agent: true, buyer_type: 'B2B' },
  }),
}).then(r => r.json());

console.log('Total results:', search.totalCount);
search.results?.forEach((item: any) => {
  console.log(
    item.raw.ec_name,
    '$' + item.raw.ec_price,
    'In stock:', item.raw.ec_in_stock
  );
});

Reviews

★★★★★4.7 (3 reviews)

These are illustrative examples to show what reviews will look like. Submit your own experience below.

J. Santos

Senior Engineer · Feb 28, 2026

★★★★★

Integration was straightforward. The UCP endpoint discovery works as documented and checkout completes in under 2 seconds.

M. Lee

Backend Developer · Mar 3, 2026

★★★★★

Works well for our use case. The documentation is accurate and the implementation matches what the spec describes.

R. Kapoor

Platform Engineer · Jan 15, 2026

★★★★★

Integrated in an afternoon. Solid implementation with no unexpected edge cases in production.

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