Enhanced Search That
Finds What Users Actually Mean.
Semantic AI search with typo tolerance, synonyms, voice input, image search. Site visitors who search convert 2-3× higher. Make search the conversion engine.
Search that thinks.
Semantic Search
Understands meaning, not just keywords
Typo Tolerance
Users misspell → still get results
Personalized Ranking
Best results based on user history
Voice Search
Browser-native voice input to search
Visual Search
Upload photo → find similar products
Instant Results
Search-as-you-type, <20ms latency
“Search CVR went from 3.2% to 5.8% after Maple54 built our AI search. Zero-results pages dropped 90%. Users finding products = users buying products. 22% revenue lift.”
Search that understands what users mean.
Default WordPress / Shopify search matches keywords literally — “cozy sweater” misses “knit jumper”. Modern search understands intent. We upgrade search to find the right answer regardless of wording.
Search audit + goals
Week 1-2Current search usage analysis, zero-result query identification, user-intent mapping, success metrics (search-to-purchase CVR, zero-result rate).
Search engine build
Week 3-5Algolia / Typesense / Elasticsearch + semantic embeddings layer, typo tolerance, synonym management, filter + facet design, product-relevance tuning.
AI-powered features
Week 6-7Semantic search (intent understanding), natural-language queries (“show me formal dresses under $200”), auto-complete, did-you-mean, contextual suggestions.
Launch + continuous tuning
Week 8+A/B testing, search-analytics dashboards, weekly relevance tuning, new synonym + rule deployment, ongoing conversion-optimization.
Production search, upgraded.
Search engine, UI, personalization, and analytics — all coordinated as one system.
Modern search engine
Algolia, Typesense, or Elasticsearch depending on scale + budget. Typo tolerance, synonyms, faceted filters, product relevance ranking configured per your catalog.
Semantic + natural-language search
Vector embeddings for intent understanding. Natural-language queries (“show me formal dresses under $200”) + semantic similarity for relevant results without keyword overlap.
Modern search UI
Autocomplete, did-you-mean, trending + recent searches, rich visual previews, mobile-optimized, keyboard-accessible, WCAG 2.2 AA compliant.
Analytics + tuning
Zero-result query tracking, search-to-purchase attribution, weekly relevance-tuning based on real data, synonym + rule management dashboards.
Built for catalog-heavy + content-heavy sites.
Search matters most when your catalog or content library is big enough that browsing doesn't work. 500+ products OR 1,000+ content pieces — search is where your users live.
Ecommerce 500+ SKUs
Catalog too big to browse; search is the primary discovery surface. Typical 25-40% search-to-purchase CVR lift from upgraded search.
Publishers + Content Sites
News sites, documentation, knowledge bases. Search upgrade improves time-to-answer + satisfaction dramatically.
Enterprise Help + Docs
B2B SaaS help centers, developer docs, internal wikis. Semantic + AI-powered search cuts support tickets + accelerates onboarding.
Education + Learning Platforms
Course catalogs, lesson libraries, research databases. Smart search dramatically improves content discovery + engagement.
Model-agnostic, infra-rich, eval-first.
We run production AI on a deliberately diversified stack — so switching models or providers is a config change, not a rewrite.
WE SERVE YOUR INDUSTRY
Select Your Industry — Get a Custom Strategy
Click your industry below to start your free application — we'll tailor everything to your market.
Financial Services & Insurance
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Search that converts.
Semantic AI. Typo-tolerant. Voice + image search. 40% higher CVR.
Search pricing.
Algolia Setup
Algolia install · 1 week
AI Search
Semantic + multi-modal
Enterprise
Scale + custom models
Enhanced search, answered honestly.
Algolia vs. Typesense vs. Elasticsearch?
Algolia for best-in-class managed search, premium price. Typesense for open-source self-hosted, excellent DX. Elasticsearch for massive scale + complex aggregations, higher ops burden. We recommend per use case + team capacity.
How is semantic search different from keyword search?
Keyword search matches exact words. Semantic search understands meaning — “sweater” finds “knit pullover.” Vector embeddings encode conceptual similarity, enabling intent-based matching.
How long does it take to implement?
4-8 weeks for most engagements. Ecommerce catalog migration: 4-6 weeks. Content / documentation sites: 3-5 weeks. Enterprise search with multi-source indexing: 8-12 weeks.
Will it improve SEO?
Directly, no — search is internal. Indirectly, yes — better on-site search improves engagement metrics (time on site, bounce rate, pages per session), which Google uses as ranking signals.
What about voice + natural-language queries?
Fully supported. Modern search (Algolia AI + semantic embeddings) handles “show me cozy sweaters under $100 for cold weather” as a single query. Natural language is now table stakes.
Three ways to get started
Pick the path that fits you best — a quick form, a detailed brief, or a live call. Selected service: AI & Automation.
Prefer phone? Call (480) 650-9911 — Mon–Fri · 9am–6pm MST