AI Search - Paysafe

Smart, Hybrid Search, Editor Control with AI Search Zero-result queries ↓63% and search exits ↓44%. Semantic, fast, and on-brand search-powered by Solr, vectors, and editor control. Key Results Search exits: ↓ 44% Zero-result queries: ↓ 63% (semantic + synonyms) Result CTR: ↑ 38% Index freshness:

Client

Paysafe Limited

Industries

CMS / Publishing, Documentation, E-commerce

Services

Solr Integration, Semantic Search, Re-ranking, Governance & Analytics

Project Scope

AI-Powered Hybrid Search & CMS Relevance Engine Implementation

Apache SolrSemantic Vectors BM25SynonymsRe-rank

Challenge

Users struggled to find relevant content across pages, news, documents, and files. Basic keyword search couldn’t understand intent, missed results due to typos, and routinely buried high-value content. Editors also had no way to fine-tune ranking, boost campaigns, or guide discovery without involving developers, which slowed everything down.

The team needed a controllable relevance engine with a fast, modern search experience and enterprise-grade indexing, built directly into the CMS so content teams could own search quality without extra tools or technical overhead.

Solution

Hybrid relevance

BM25 in Apache Solr + dense semantic vectors with re-ranking; field boosts and freshness signals out of the box.

Instant experience

As-you-type suggestions, typo tolerance, highlights, facets, and federated entities (pages, records, assets).

Instant experience

Pin/bury/boost, synonyms, query rules, collections, and facets-managed directly in CMS.

Complete indexing

Crawl site packages, IRRE content, and FAL metadata; incremental updates keep results fresh after edits and deploys.

Search analytics

Zero-result reports, query trends, CTR by position, and gap analysis to guide content.

AI Architecture Flow

AI Technical
Stack

Apache Solr

Site Content

OpenAI

Gemini

Anthropic

Custom LLM

Vector Fields

External Store

Cross-Encoder

Synonyms

CMS Backend

0%

Search exits dropped, keeping visitors engaged, exploring, and converting.

0%

Zero-result queries fell with semantic matching and curated synonyms, improving relevance.

0%

Editors tuned results in minutes, no release cycle required.

0X

Analytics highlighted content gaps and high-intent queries for product and SEO.

AI Architecture Flow

AI Search

Client's
feedback

“T3AS finally made search feel smart. Visitors get the right content faster, our team tunes relevance in minutes, and the analytics show exactly where to invest next.”

Sven Thelemann

CEO Level.pro GmbH

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AI-Powered Search: Smarter, Faster, and Editor-Friendly