Customers rarely come with perfect keywords. They come with a goal: I need the right product for my use case. Classic shop search then provides a list of results - and leaves the decision to the buyer. This leads to dropouts, wrong purchases, returns, and support inquiries.
Aginity AgenticSearch replaces this result list logic with real product consulting: We understand the use case, derive the right parameters from it, and match the entire product catalog against the requirements. The result is not a Top-3 assumption, but a complete, comprehensible selection: all products that really fit - prioritized and explained.
Results from projects (up to):
What does AI product consulting mean in concrete terms?
AgenticSearch is an agent that takes over purchase consulting in the shop - comparable to a very good specialist advisor in the store, only digital and scalable.
Here's how it works:
Understand the use case
What is the product used for? What is really important?
Capture requirements
Must-have criteria + preferences + exclusions
Match across the catalog
The entire catalog is checked against these criteria
Explain & secure
- Why does the product fit?
- What alternatives are there?
- What should one pay attention to? (typical mistakes, compatibility, setup, limits)
This reduces uncertainty - and makes the purchase completion more likely.
Our core difference to Algolia, Bloomreach & Co.
Many search & discovery solutions are strong in improving result lists (ranking, autocomplete, rules). AgenticSearch works differently: We shift the work from searching to selecting.
Classical:
Keyword → result list → customer compares themselves
Aginity AgenticSearch:
Use case → criteria → all suitable products → justification + notes → decision
The crucial point: We do not just show a few hits, but all products that meet the requirements - transparent and comprehensible. The agent sets the parameters that correctly search the catalog instead of letting the buyer guess.
Why this seems immediately measurable
More conversion
When buyers no longer have to research and compare for long, closing rates increase significantly - especially for complex products.
Fewer wrong purchases and returns
Catalog-wide matching plus clear indications (pay attention to this) reduces wrong decisions.
Less support burden
When the consultation answers typical product questions already in the purchasing process, follow-up questions and purchase cancellations decrease.
Typical effects (up to):
For which assortments AgenticSearch is particularly suitable
AgenticSearch is strong when products require explanation, variants/compatibility play a role, or customers buy without expertise.
B2C and B2B work equally well - the consultation adapts to the use case.
Integrating expertise: Consultation becomes industry-specific
AgenticSearch can be enriched with your expertise so that the consultation works exactly as it makes sense in your industry. For example:
This creates an agent that does not just help in any way, but reflects your consulting standard in the shop.
Live in 7 days - via API, EU-based
Setup in practice (typical):
Integrations
AgenticSearch can be integrated into common shop setups, including:
Shopify
Shopware
Magento
WordPressFAQ
What is AI Product Discovery?
AI Product Discovery describes the process by which an AI system infers the buyer's full use case from a search query and, based on that, finds products across the entire catalog — including products the buyer did not explicitly search for. Unlike traditional search, this also reveals latent needs and returns them as explainable product recommendations.
How does Conversational Commerce differ from traditional e-commerce?
In traditional e-commerce, users navigate through categories, filters, and keywords. Conversational Commerce shifts the purchase journey into a natural-language dialogue: the shop understands intent, asks follow-up questions, and guides the decision like a salesperson. This makes product discovery much more precise and shortens the path to purchase.
What is the difference between an Agentic Shopping Assistant and product search?
Traditional product search returns result lists based on keywords and filters. An Agentic Shopping Assistant understands the purchase intent behind the query, analyzes the full product catalog, asks follow-up questions when needed, and explains why a product is recommended. It does not just replace search — it provides digital product advice.
What is AI product consulting in the online shop?
A consultation that understands the use case, captures requirements, and derives a complete product selection from the catalog - including justification and notes.
Why is this better than a normal search?
Because buyers rarely have perfect keywords. AgenticSearch replaces keyword rates with criteria matching and assists in decision-making, not just finding.
Does AgenticSearch really show all matching products?
Yes. We match across the catalog and can display all products that meet the requirements - prioritized and explained.
How quickly can one start?
In many cases, within up to 7 days, depending on catalog data and integration.
Try now
Try now: Pilot AgenticSearch with your catalog.
Get in touch: Send use case - we will show you the appropriate integration.