You bought AI for discovery. Why isn't it paying?
Disconnected systems without causal analytics lead to disconnected outcomes. Bad signals in. Bad results out. 44% of retailers invest in AI. Only 9% see measurable revenue from it. The difference is intent: most shops never learn what their shoppers actually mean, and without that understanding no tool can deliver measurable impact. The gap runs across discovery: search, suggestions, ranking, recommendations. Your highest-intent surface stays the least optimized.
Detect. Act. Excel.
One agent walks and understands the whole product-discovery journey. It identifies where shoppers drop out, understands what they were trying to achieve, and improves the journey through the discovery stack you already have, for shoppers and AI assistants alike. Then it proves the lift. The loop runs continuously, and every decision stays yours to override.
Find customer journeys with untapped conversion potential.
Standard analytics count sessions and stop there. searchHub uses causal analytics: it follows the full product-discovery journey and ranks every journey by its potential for greater conversions, so you know what to optimize first.
Fix product discovery at the moment of intent.
Shoppers reveal intent one query at a time, and every touchpoint guesses alone. searchHub shapes intent as they type and rewrites each user query to its proven master query.
Turn one-off wins into compounding gains.
Rank by what shoppers buy, not by catalog text. Add neural intelligence only where it provides value, then test two answers at identical intent and keep the winner. Every outcome flows back into your discovery-intent data, so nothing resets and the whole system keeps getting sharper.
Where searchHub optimizes across the discovery journey.
The Detect, Act, Excel journey, shown as the six concrete touchpoints inside it.
Guessy autocomplete and dead-end suggestions become intent as-you-type, statistically ranked. Guide discovery from the first keystroke.
Zero results and wrong matches (10 to 15% of searches) become one intent. Your stack gets it clean before it retrieves. Thousands of spellings collapse to one.
Route intent-matching search traffic straight to the landing and listing pages you already curate, instead of a one-size results page.
Most engines order results by how closely the catalog text matches the words typed. searchHub ranks by what actually converts — and among equally relevant results, prefers items customers actually place in the basket.
Session analytics miss the complete discovery journey both users and agents take on your site. See where discovery succeeds or fails, and correct where it counts.
Wasted intent becomes a signal every system learns from: signals, feeds and an API, managed in one tool. Own your discovery-intent data and feed the rest of your stack and your AI.
Rank by what shoppers buy, not by what your catalog says.
Clean intent reaches your stack before it ranks. NeuralInfusion re-weights the result set after, using what actually converts. The right product surfaces higher, on the stack you already run. It is not a replacement ranker.
Not one test. A loop that never stops improving.
Because searchHub shapes the input before the engine ranks, every answer to a shopper intent can be challenged on live traffic — continuously, run by hand or in Full-Self-Driving mode. Winners ship, learnings feed the next round, and the levers start compounding into a sum greater than its parts.
Challenge what the same search returns by electing a different intent.
Send that search to a curated, merchandised page instead of a result list.
Blend neural-matched products into the set where they lift conversion. Beta.
Every improvement pays off by itself. Together, they learn from your own traffic — so results get better without you guessing what to fix next.
"Even a good onsite search benefits from searchHub. Our A/B tests showed an increase in both conversion rate and average order value."
Your shop's richest first-party signal is the discovery trail. Own it.
Session analytics credit the last click. searchHub follows every shopper's and AI agent's full trail — query, suggestion, impression, redirect, click, basket, purchase — and consolidates it by intent. That's causal analytics: the journey-to-CLV truth, before users can name what they're looking for. Exactly the first-party data AI-driven discovery runs on.
Hand an agent your full assortment and it still ranks by what performs on its platform — not necessarily the products you want to position. searchHub structures your intent and product data so agents surface your choices for the right intent, on the stack you already run.
AI-referred retail traffic grew 393% year over year and converts 42% better than other channels. (Adobe, 2026)
- — Not a shopping agent. We do not buy for the shopper.
- — Not a replatform. Your engine and catalogue stay where they are.
- — It is the layer that makes both readable, today.
Keep your stack. Improve what it delivers.
searchHub runs in front of Algolia, FactFinder, Bloomreach, Coveo, Elasticsearch and more. Live in weeks, not a months long migration. Nothing to replatform.
One agent. Distributed value.
A vendor that accelerates your roadmap instead of blocking it: engine-agnostic, no replatform, agentic-ready — an optimization agent across search and product discovery your team controls. Unit economics that hold at scale: neural only where it provides value, and your first-party discovery-intent data back.
A discovery growth lever: live within weeks, fully deployed within 30 days, scaling faster across languages and tenants. No headcount, no replatform. Your search and product-discovery surfaces are your highest-intent real estate. Don't leave then unoptimized.
The next source of revenue is already in the house: board-ready return from more efficient, data-driven use of the discovery stack you already paid for. No replatform. Deployed by peers.
The agent groups every spelling and variant of a search into a single intent — and routes that aggregated traffic to the pages you've curated. Redirects, keyword landing pages, category pages: you decide where shoppers land, the agent gets them there. You manage a tool instead of maintaining a pile of rules.
One source of truth for what shoppers are looking for. The tool shows you exactly what changed and why, and you stay in control — without touching your existing product discovery technology.
Every step of the journey — from people and from agents — collected as your own first-party data, available as signals, feeds or API. It is the data foundation for product discovery that web analytics never provided.
What is your search quietly costing you?
See where shoppers feel misunderstood, fix it at the source, and prove the lift. On the stack you already run.