Enterprise-grade site search with AI-powered relevance and instant indexing.
AddSearch is a high-performance site search solution that bridges the gap between simple plug-and-play crawlers and complex, developer-heavy search APIs. By 2026, AddSearch has fully integrated a hybrid search architecture, combining traditional keyword-based Boolean retrieval with advanced Vector-based semantic search. This allows for 'intent-aware' results that understand synonyms and natural language queries without manual synonym mapping. The platform is built for speed, boasting sub-100ms response times globally. Its technical edge lies in its 'Instant Crawler' technology, which detects site changes in real-time via sitemaps or webhooks, ensuring the search index is never stale. Market-wise, it positions itself as the primary alternative to Algolia and Elastic, specifically for organizations that require enterprise-level customization (like result weighting and visual UI builders) without the massive overhead of managing a search cluster. With native integrations for headless CMS architectures (Contentful, Strapi) and legacy systems (AEM, Sitecore), it serves as a versatile search layer for diverse digital ecosystems.
A drag-and-drop interface to adjust the 'importance' score of specific pages or categories in real-time.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses machine learning to predict user queries based on historical data and trending topics.
Monitors XML sitemaps and uses Webhooks to trigger immediate indexing of new or updated content.
Aggregates data from multiple separate domains into a single unified search index.
Vector-based retrieval that understands the context and intent of a query, not just keywords.
Full-text extraction from hosted PDF, DOCX, and PPTX files.
Supports JWT and basic auth to index and serve search results for restricted member areas.
Users struggle to find products due to typos or non-matching technical terms.
Registry Updated:2/7/2026
High volume of support tickets for simple questions already answered in documentation.
Headless CMS platforms (like Contentful) lack a native front-end search engine.