AI TOOL PROFILE
foundit: Intent-Led Commerce Platform
- Ecommerce
- AI Search
- Large multi-category retailers
- Enterprise ecommerce stores
- Retailers with high SKU counts
- Businesses with complex product taxonomies
Pricing
Pricing was not clearly available from the provided evidence. However, the company offers a Proof of Value trial period with success criteria agreed at the start.
At a glance
- Best for
- Large multi-category retailers, Enterprise ecommerce stores, Retailers with high SKU counts, Businesses with complex product taxonomies
- Key use cases
- Improving Product Discoverability, Managing Large Scale Catalogs, Supporting Site Search Accuracy, Supporting SEO Architecture, Marketplace Optimization
- Integrations
- Algolia, Bloomreach, PIM systems
- Official website
- Visit foundit official website
How AI is used
foundit is an intent-led commerce platform designed for large, multi-category retailers. It uses an AI intent engine to analyze how customers search and shop, applying those insights to enrich product catalogs and site navigation.
The tool is built for businesses with large product ranges where manual curation is difficult to scale. It is designed to work alongside existing tech stacks rather than replacing them, helping to refine the data fed into search engines and PIMs.
It supports several areas of the shopping experience, including product enrichment, visual navigation, and SEO architecture. By layering intent data over a retailer's existing infrastructure, it may help reduce failed searches and bounce rates on product detail pages.
Buyers should confirm that their organization fits the enterprise profile and that their technical team can support API-based integrations; the vendor states implementation is typically completed in weeks.
Key Features
Product Enrichment
Attributes products with customer intent data to help make them more discoverable via search and feeds.
Curated Visual Navigation
Supports the creation of visual navigation, facets, and filters based on the language and discovery methods used by customers.
Site Search Support
Enriches existing search engines with intent terms to help provide results based on shopper intent rather than just exact keyword matches.
PDP Optimization
Uses intent data to recommend related products and collections on product detail pages.
SEO/AEO Automation
Supports information architecture and internal linking by utilizing customer intent signals.
Use Cases
Improving Product Discoverability
Using AI to address gaps in thin product data and missing attributes so products may be found more often.
Managing Large Scale Catalogs
Supporting discovery for retailers with hundreds of thousands of SKUs where manual curation is difficult to scale.
Supporting Site Search Accuracy
Helping to reduce 'no results found' messages by bridging the gap between customer language and catalog tagging.
Supporting SEO Architecture
Automating the maintenance of architectural optimization and page scoring across keywords.
Marketplace Optimization
Enriching data and building customer journeys for complex marketplace environments.
Integrations
- Algolia
- Bloomreach
- PIM systems
FAQ
Does foundit replace my existing search engine or PIM?
- No, it is designed to work alongside tools like Algolia, Bloomreach, or PIM systems by enriching the data they use.
How does foundit handle user privacy and data?
- It uses aggregated customer intent based on browsing and buying behavior rather than tracking individual users with PII.
Is there a trial period available for foundit?
- Yes, they offer a 'Proof of Value' trial where success criteria are agreed upon at the start; clients may opt out if those criteria are not met.
Source category: Ecommerce
Source subcategory: AI Search
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