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Because Craft's Native Search Isn't Enough

We implement enterprise search solutions that transform how people find content on your Craft site. Not just "results that match the query," but results that are fast, relevant, faceted, typo-tolerant, and tuned to your specific content and your users' actual behavior.

The Business Case for Better Search

Search isn't a utility feature. It's a revenue driver. Users who search convert at significantly higher rates than users who browse—they've told you what they want, and your job is to deliver it instantly.

Every failed search, every irrelevant result, every slow response erodes trust and costs you conversions. For commerce sites, poor search directly impacts revenue. For content-heavy platforms, it buries the resources your team spent months creating. For directories and marketplaces, it's the entire user experience.

Most Craft sites we audit have never invested in search at all. They're running Craft's default, which means full-text MySQL queries with no relevance tuning, no faceting, no typo handling, and performance that degrades as content volume grows. The gap between that and what users expect from modern search is enormous.

What We Build

01

Elasticsearch Implementation

Elasticsearch is the right choice when you need maximum control over search behavior. We build custom Elasticsearch implementations for Craft that include tailored analyzers for your content types, weighted field scoring so titles outrank body text, synonym management, custom tokenization, and query strategies optimized for your specific content model.

We handle the full integration—indexing pipelines that keep Elasticsearch in sync with Craft content, query builders that translate user input into effective searches, and the infrastructure to run Elasticsearch reliably in production.

02

Algolia-Powered Search

Algolia delivers instant, hosted search with exceptional developer experience and minimal infrastructure management. We implement Algolia for Craft sites that need sub-50ms search responses, typo tolerance, and sophisticated front-end search interfaces without running dedicated search infrastructure.

Our Algolia implementations include custom ranking strategies, searchable attribute configuration, facet design, and front-end integration using Algolia's InstantSearch libraries—giving your users a search experience that feels immediate and intelligent.

03

Faceted Search & Navigation

Faceted search lets users narrow results by attributes—category, price range, color, size, availability, location, content type, or whatever dimensions make sense for your content. It's essential for product catalogs, resource libraries, directories, and any platform where users need to drill into a large content set.

We design facet structures around how your users actually think about your content, not just the fields that happen to exist in your database. The result is navigation that feels intuitive and produces useful, non-empty result sets at every level.

04

Search Relevance & Analytics

Deploying search is only the beginning. The real value comes from ongoing relevance tuning based on actual user behavior. We implement search analytics that track what users search for, which results they click, where they abandon search, and what queries return zero results.

This data drives iterative improvements: boosting underperforming content, adding synonyms for common alternative terms, adjusting ranking weights, and identifying content gaps where users are searching for things you don't yet have.

Search FAQ

  • 01

    Do we need Elasticsearch or Algolia? How do we choose?

    It depends on your requirements and operational preferences. Elasticsearch gives you more control and customization, but requires infrastructure management. Algolia is hosted, faster to implement, and excellent for most use cases, but has per-record and per-search pricing that can get expensive at very high volumes. We'll recommend the right fit based on your content volume, search complexity, and budget.

  • 02

    Can you add search to an existing Craft site without rebuilding it?

    Yes. Search is one of the cleanest additions to an existing Craft implementation. We build an indexing pipeline that reads your existing content, sends it to Elasticsearch or Algolia, and integrates the search front-end into your existing templates. Your Craft content model stays the same—we're adding a search layer on top, not restructuring what's underneath. We build an indexing pipeline that reads your existing content, sends it to Elasticsearch or Algolia, and integrates the search front-end into your existing templates.

  • 03

    How long does a search implementation take?

    A straightforward Algolia implementation for a content site can be done in 3-5 weeks. A custom Elasticsearch implementation with complex faceting and relevance tuning for a large product catalog typically takes 6-10 weeks. Ongoing relevance tuning is iterative and often becomes part of a support retainer.

  • 04

    What happens when we add or update content? Does search stay in sync?

    Yes. We build real-time or near-real-time indexing pipelines that automatically update the search index when content is created, updated, or deleted in Craft. Your editorial team doesn't need to think about search at all—they manage content in Craft, and the search index stays current.

  • 05

    Can search work with our headless Craft setup?

    Absolutely. In headless architectures, search often performs even better because the frontend can query Elasticsearch or Algolia directly without going through Craft at all. This means search results load independently of your CMS and can be rendered instantly on the client side. We've built this pattern for several headless Craft implementations

Get Started

Ready to Build Something Exceptional?

Tell us about your project. Whether you're starting fresh, scaling up, or rescuing something that's gone sideways - we'll give you an honest assessment, not a sales pitch.