AI Search & Recommendations
Semantic search and personalised recommendations that help users find the right results, based on meaning rather than exact keywords.
Help Users Find What They're Looking For
AI Search & Recommendations covers AI search, matching results to meaning and intent rather than exact keywords, and recommendation systems that surface relevant content or products.
We don't quote fixed performance percentages upfront; the right approach, and its actual impact, depends on your data, your catalog, and how people search or browse today.
What We Build
Semantic Search
Search that understands meaning and intent, not just keywords.
Relevance Tuning
Ranking results so the most useful ones surface first for each user.
Personalised Recommendations
Suggestions shaped by content attributes and usage patterns.
Content & Product Discovery
Helping users discover items they wouldn't have thought to search for.
Common Discovery Situations
Keyword Search That Misses Intent
Users search in their own words but get no relevant results back.
Users Who Can't Find What They Need
The right item exists in your catalog, but search doesn't surface it.
Generic, One-Size Recommendations
The same suggestions shown to every user, regardless of context.
Large or Growing Catalogs
Too much content or inventory for keyword search alone to organize well.
How Semantic Search Understands a Query
From a query in the user's own words to results ranked by actual relevance.
Query Input
The user types a question, phrase, or product need in their own words.
Meaning Extraction
The system interprets the intent behind the query, not just its keywords.
Content Matching
Content or products are compared for semantic similarity, not exact text match.
Relevance Ranking
Matches are ordered so the most useful results always appear first.
Results Returned
The user sees results, or recommendations, that actually fit what they meant.
How We Approach a Search & Recommendations Engagement
Discover
Review your content or catalog and how users currently search or browse.
Design
Define what relevance and a good recommendation look like for your use case.
Build
Implement semantic search or a recommendation model against your real data.
Validate
Test against real search queries and real user behavior before any wider rollout.
Release & Support
Deploy, monitor relevance, and keep tuning results as usage data comes in.
Optimize
Refine ranking and recommendations using real search and click behavior.
Why ETECHTICS for Search & Recommendations
Built around your actual content and how people search it, not generic benchmarks.
Built Around Your Content
Search and recommendations shaped by your actual catalog, not a generic template.
Relevance Over Guesswork
No inflated performance claims, just tuned to what actually helps users.
Works With Existing Search
Layered onto what you already have rather than requiring a rebuild.
Ongoing Tuning
Relevance and recommendations refined over time as your usage data grows.
Related AI Capabilities
AI Search & Recommendations FAQ
What does AI Search & Recommendations cover?
Semantic search that matches results to meaning rather than exact keywords, and personalised recommendation systems that surface relevant content or products.
What is semantic search?
Search based on the meaning and intent behind a query, rather than requiring an exact keyword match, so a differently worded question can still find the right result.
Do recommendations require a lot of historical user data?
They typically improve as usage data builds up, but recommendations can start from content or product attributes before there's much history to work with.
Can this be added to an existing product or website?
Yes, semantic search and recommendations are typically added on top of an existing search bar or browsing experience rather than requiring a rebuild.
Do you guarantee a specific improvement in search or conversion performance?
No. We don't quote fixed performance percentages upfront, the impact depends on your data, catalog, and how people actually search or browse today.
Want Search That Understands Intent?
Tell us about your catalog or content, we'll tell you what's realistic for search and recommendations.