Hawksearch
E-merchandising software
E-commerce search software
Site search software
E-commerce software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$500 per month
Free Trial unavailableFree version unavailable
Small
Medium
Large
- Manufacturing
- Retail and wholesale
- Real estate and property management
What is Hawksearch
Hawksearch is an e-commerce site search and merchandising platform used to improve product discovery on retail and B2B commerce sites. It provides configurable search, faceted navigation, synonym and rule management, and merchandising tools to influence ranking and on-site experiences. Typical users include e-commerce, merchandising, and digital teams that manage catalog search and category browsing across web storefronts. The product is commonly deployed as a SaaS service and integrates with commerce platforms and product data feeds.
Strong merchandising controls
Hawksearch includes business-rule tooling for boosting, burying, pinning, and redirecting results based on queries, categories, and attributes. Merchandisers can manage synonyms, stop words, and query rules without requiring code changes for many common adjustments. This supports day-to-day campaign execution and catalog changes where teams need predictable control over rankings. The focus on rule-based controls can be useful when explainability and governance are priorities.
Faceted navigation and filtering
The platform supports faceted search experiences that rely on structured product attributes for filtering and refinement. It is designed to handle common e-commerce needs such as multi-select facets, range filters, and attribute-driven navigation. This helps shoppers narrow large catalogs and supports B2B use cases where specifications matter. Teams can align facets to taxonomy and product data standards used in the storefront.
Integrations and data ingestion
Hawksearch is typically implemented by connecting to commerce platforms and ingesting product catalog data via feeds or connectors. This approach can reduce time to deploy compared with building a custom search stack and allows ongoing re-indexing as catalog data changes. It also supports using analytics signals (e.g., query behavior) to inform tuning. The integration model fits organizations that want a dedicated search layer alongside an existing commerce platform.
Relevance tuning can be ongoing
Search relevance often requires iterative tuning as catalogs, seasonality, and shopper behavior change. Teams may need to invest time in rule maintenance, synonym management, and facet configuration to keep results aligned with business goals. This can create operational overhead for smaller teams without dedicated search/merchandising resources. Outcomes depend heavily on product data quality and governance.
Advanced personalization varies by need
Organizations seeking deep, cross-channel personalization and orchestration may require additional tooling beyond core on-site search and merchandising. While on-site behavior signals can inform tuning, broader customer-level decisioning (email, ads, CDP-driven journeys) may not be covered to the same extent as suites focused on omnichannel personalization. Buyers should validate how recommendations, segmentation, and experimentation are supported for their specific use cases. Integration with existing marketing stacks may be necessary to meet advanced requirements.
Implementation depends on catalog data
Effective facets, filters, and relevance rely on consistent, well-structured product attributes and taxonomy. If catalog data is incomplete or inconsistent, teams may need a data cleanup effort before search experiences perform well. Complex catalogs (variants, bundles, multi-language, multi-currency) can add configuration and testing time. Buyers should plan for indexing, mapping, and ongoing feed monitoring as part of the rollout.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Core | $500 per month (starting) | 50k API calls/month, 10k records, 25 attributes; includes marketing & merchandising, advanced site search, UI-based relevancy tuning; implementation support included; Book a demo. |
| Premium | $850 per month (starting) | 100k API calls/month, 25k records, 25 attributes; add-ons available (Hawk AI features like Visual Search, Concept Search, Hybrid Search, Smart Response, Web Crawler); additional marketing/SEO features; Customer Success Director included. |
| Enterprise | $1,250 per month (starting) — Contact for Pricing | 1M+ API calls/month, 100k+ records, 100+ attributes; add-ons available; enterprise implementation, unlimited historical indexes, PCI compliance upon request; contact sales for full terms. |
Seller details
Bridgeline Digital, Inc.
Woburn, Massachusetts, USA
1999
Public
https://www.hawksearch.com/
https://x.com/hawksearch
https://www.linkedin.com/company/hawksearch/
