AI-Powered Search
The highest-intent moment in your store.
We specialize in Algolia. When a visitor types in your search box, they are telling you exactly what they want — no other interaction carries that much intent. Most stores waste it on slow, literal search. We turn it into your best-converting surface, and tune every lever it offers.
Why search
Searchers are buyers. The cost of getting it wrong is a customer leaving with money in hand.
Visitors who use site search convert at meaningfully higher rates than those who only browse — they arrive with a specific intent and a short fuse. A search that returns “no results,” shows irrelevant items, or makes someone scroll is revenue you never see.
Algolia wins awards because it closes that gap on two fronts at once: it understands what people mean, and it gives you precise control over what they see. We make both work for your catalog specifically.
The showcase · 01 Understand
Understanding what the shopper means.
This is where Algolia separates from ordinary search — meaning, not letter-matching.
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NeuralSearch
Algolia's flagship. It fuses keyword search with semantic vector search in one API, using language models to understand meaning, not just letters. “Warm jacket for hiking” finds the right product even when those words are not in the title — in milliseconds.
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Predictive, as-you-type
Results and suggestions appear instantly while the shopper types, so they refine in real time instead of waiting for a results page.
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Query Suggestions
The search box proposes high-converting, popular queries as people type, guiding them toward terms that actually return good results.
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Typo tolerance & synonyms
“Sneekers” still finds sneakers. “Sofa” finds couches. The shopper never hits a dead end over spelling or vocabulary.
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Natural language & intent
Long, conversational queries get understood as a whole rather than fragmented into disconnected keywords.
The showcase · 02 Control
Controlling exactly what shoppers see.
Understanding intent is half of it. The other half is business control — and this is where merchandising teams fall in love with Algolia.
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Boost
Push specific products, brands, or categories up the results for chosen queries. Promote the high-margin line, the new arrival, the overstock you need to move.
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Bury
Push items down without removing them. Demote the low-stock, the low-margin, and the about-to-be-discontinued.
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Pin & hide
Lock a specific product to the top slot for a query, or remove items from results entirely, with full precision.
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Rules & merchandising
If-this-then-that logic: when someone searches a term, show a banner, reorder results, or trigger a promotion. Run seasonal and campaign merchandising without touching code.
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Visual merchandising, no code
Your non-technical team arranges results in a drag-and-drop interface and sees the storefront change. No developer in the loop for everyday merchandising.
The showcase · 03 Personalize
Two shoppers, the same query, results tuned to each.
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Personalization
Algolia re-ranks results for each individual based on their behavior and history, captured through events, so two shoppers searching the same word see results tuned to each of them.
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Dynamic Re-Ranking
The system watches what gets clicked and converted for each query over a rolling 30-day window and automatically boosts the winners. Relevance improves on its own as behavior shifts.
The showcase · 04 Discover
Algolia Recommend — the engine behind larger orders.
Recommend extends search into product discovery, lifting average order value and keeping shoppers browsing.
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Related Products
“You might also like,” driven by behavior and content similarity.
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Frequently Bought Together
Collaborative filtering surfaces genuine basket pairings to lift average order value, in relaxed and strict variants.
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Trending Items
Surfaces what is gaining momentum right now, across your catalog or within a category.
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Looking Similar
AI image analysis recommends products that look visually alike — powerful for fashion, home, and anything bought with the eyes.
The showcase · 05 Prove
Proving it works — the part that makes the difference defensible.
Most “we added search” projects skip this. It is how every change gets measured rather than assumed.
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A/B & multi-variant testing
Test up to five variants at once — one control, four challengers — codelessly from the dashboard. Personalized vs. not, one ranking strategy vs. another, a rule on vs. off.
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Statistical rigor
Results carry a two-tailed confidence score and produce reliable comparisons even when traffic is uneven, so you ship on evidence, not vibes.
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Test estimator
Before launching, estimate the duration and sample size needed to reach significance for your metric, so you know whether a test is worth running.
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Click & conversion analytics
Built-in tracking of click-through, conversion, top searches, and — critically — no-results searches, the queries where you are losing people, so you know exactly what to fix next.
How we tie it together
Five layers, one search experience built to convert.
Layer
Algolia features
What it does for you
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Understand
NeuralSearch, typo tolerance, synonyms, Query Suggestions, predictive search
Shoppers find what they mean, instantly
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Control
Boost, bury, pin, hide, rules, visual merchandising
You decide what gets promoted and when
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Personalize
Personalization, Dynamic Re-Ranking
Each shopper sees results tuned to them
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Discover
Related Products, Frequently Bought Together, Trending, Looking Similar
Bigger baskets, more browsing
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Prove
A/B and multi-variant testing, confidence scoring, analytics
Every change is measured, not assumed
Why specialization matters
Algolia is easy to install and hard to master. The default settings are a starting point, not a finished store.
The results come from the work most implementations never do. This is what we bring as specialists.
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Indexing strategy
Structuring your catalog data so the engine can rank it well. Most relevance problems are really data-structure problems.
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Relevance tuning
Configuring ranking, attributes, and weighting for how your specific customers actually shop — not the default settings.
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Merchandising operations
Setting up the rules, boosts, and visual tools so your team can run promotions without us in the loop.
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A testing discipline
Standing up the A/B and multi-variant program so changes are proven, then iterated — rather than guessed and forgotten.
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Ongoing optimization
Reading the no-results and conversion analytics every cycle and acting on them. Search is a system you tune, not a feature you ship once.
Installing Algolia gets you a better search box. Specializing in Algolia gets you a measured lift in conversion and order value. That difference is the whole offer.
Honest notes before you commit
So this reads straight, and not as a brochure.
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“Multi-variant” is not classic multivariate testing
Algolia tests up to five whole variants against each other, which covers most real needs. It is not full factorial multivariate testing that isolates the interaction of many elements at once. If your strategy genuinely needs that, we pair Algolia with a dedicated experimentation tool and say so up front.
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Personalization and Recommend need behavioral data
These models learn from click and conversion events. A new or low-traffic store starts with the strong baseline relevance and grows into personalization as data accumulates. We sequence the rollout to match where your data actually is.
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Algolia is a paid platform priced on usage
It is a genuine operating cost, not a one-time build. For a store where search drives real revenue it pays for itself, but we size that honestly against your traffic before you sign anything.
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The platform is the tool, the tuning is the result
Algolia out of the box beats most native search. The award-winning outcomes come from the configuration and testing discipline above — which is exactly what you are hiring us for.
FAQ
Common questions
Why Algolia?
Algolia’s NeuralSearch combines keyword and semantic vector search in one API, so a query like “warm jacket for hiking” finds the right product even when those words aren’t in the title. It also gives merchandisers no-code control, per-shopper personalization, Recommend, and built-in A/B testing.
Can our team merchandise search results without a developer?
Yes. We set up the rules, boosts, pins, and visual merchandising tools so your non-technical team can promote, bury, or reorder products and run seasonal campaigns without code.
Does personalization work for a new or low-traffic store?
Personalization and Recommend learn from click and conversion events. A newer store starts with strong baseline relevance and grows into personalization as data accumulates; we sequence the rollout to match the data you actually have.
What does Algolia cost to run?
Algolia is a paid platform priced on usage — a real operating cost, not a one-time build. We size it honestly against your traffic before you sign anything; exact figures are covered on the assessment call.
How do you prove a search change helped?
With Algolia’s A/B and multi-variant testing (up to five variants with confidence scoring), plus click, conversion, and no-results analytics reviewed every cycle so changes are proven rather than assumed.
Who owns what you build?
You do. The code, prompts, accounts, and data are yours, and support is month-to-month — cancel anytime with no vendor lock-in.
Where to start
A Discovery week, then a prioritized plan and a fixed quote for the build.
We audit your current search: how shoppers are using it, where they hit dead ends, and the specific Algolia configuration most likely to lift your conversion and order value first. You leave with a prioritized plan, a realistic estimate, and a fixed quote.
Flat fee. No obligation to continue. You own everything we build.
Algolia is a paid platform priced on usage; we size that cost honestly against your traffic before you commit. The platform beats most native search out of the box — the measured lift comes from the configuration and testing discipline above.
Make search your best-converting surface.
Book my assessment call