Clark Rubber | YMCA Greater Toronto | Frontier Touring | Randy's Worldwide | Standard Process
Search runs on the data. Not a copy of it.
Core dna search reads the live model your business runs on: products, content, members, dealers, locations, courses, the lot. The data is the index. No pipeline to build, no sync window to babysit, no second copy to drift. Set up in hours, tuned in plain language, accurate the moment anything changes.
Search every entity the platform already understands: products, variants, pages, articles, FAQs, courses, members, dealers, custom objects.
Run one search across every storefront, or scope it to a region, an account, a tier. Same data, governed boundaries.
Member status, dealer tier, B2B contract, location, language. All already in the platform, so search ranks against them without a separate personalisation tool.
Boost in-stock items in the AU store this week. Surface premium variants for trade accounts. Promote a campaign across three sites. Describe the change, approve, ship.
Core dna search powers multi-site, multi-brand, multi-region, and franchise search from one governed platform, with scope, ranking, and tuning that follow the rules your business already runs on.
A product changes price, a course gains a module, a dealer changes tier, and search already knows, because search reads the record itself, not an export of it. Pages, products, variants, members, dealers, locations, courses, custom objects: if the platform models it, search finds it, the moment it changes.
Stock levels, warehouses, price books, and orders are entities in the same model search reads, so ranking follows the goals you set, not a hardcoded formula. A precise match stays on top even at two left, with the scarcity shown. Among equivalent results, in-stock items rise, campaigns surface, margin lines lead. You decide the rule. The live record supplies the signal.
Core dna search lives inside the platform your team already runs. Same login, same permissions, same audit trail, same prompt. The person who edits the page, the person who prices the product, and the person who tunes the ranking work in one console, so one team carries search across every property, end to end.
A buyer asks their assistant for a part, a course, a venue. The assistant queries your catalogue through the Core dna MCP server and answers with live stock, current pricing, and local availability, scoped to what that buyer is entitled to see. The order completes in the same conversation. Wherever the question is asked, your catalogue sells.
The query, the index, the ranking rule, the personalisation attribute, the approval flow, and the audit log all run on the same platform, on the same data model, with the same permissions as the rest of your operation.
Hybrid retrieval, faceting, ranking, synonyms, personalisation, multi-language, and analytics. Already inside the platform, already governed.
Semantic and keyword search
Natural-language queries, typo tolerance, and exact SKU matches from one engine.
Facets and filters
Multi-attribute facets, conditional filters, scoped per site, audience, and locale.
Merchandising
Boosts, campaigns, synonyms, and business rules, ranked on live stock and pricing.
Personalisation
Rank by member tier, B2B account, dealer code, location, language, and behaviour.
Multi-language
One catalogue, every language, every locale, with fallbacks scoped per storefront.
Search analytics
Query volume, zero-result terms, click-through, conversion, ranking shifts in one console.
Govern every search, every rule, every change.
Every relevance change, synonym edit, boost, ranking rule, and permission change writes to the audit log. Filter by index, by user, by date. Compliance and forensics share the same record.
Per-index permissions control who edits the schema, who tunes the relevance, and who reads the analytics. Permissions inherit from role and group, with per-property overrides.
Every ranking change is a draft until two reviewers approve. The same approval flow that ships a content change ships a search rule. Block on missing approval, audit the path.
Every change to an index, a synonym, a ranking rule, or a business rule writes a new revision. View the full history, compare versions, and restore a previous revision to active with one click.
Every Core dna operator searches.
Find members by tier, status, or chapter. Surface gated resources by entitlement. Search course content, certifications, and event archives, all scoped to who is signed in.
Account-specific products, contract-only variants, agreed pricing, RFQ history, warranty records, and parts cross-references. Searchable to the trade buyer, hidden from retail.
Find the nearest store, the local stock level, the locally-priced part, the location-specific service. One model, scoped by location, governed by franchise headquarters.
Cross-brand product search, per-brand merchandising, per-region language, per-storefront in-stock filtering. Hybrid retrieval handles typos, partial SKUs, and natural-language queries.
Find a course by topic, a module by skill, a learner by status, a certification by date. Search the catalogue from the public site and the learner record from the admin. One engine, two contexts.
Find a donor by tier, a programme by status, a beneficiary by intake date, a campaign by region. The same governed search that runs the public site runs the back office.
Connected to every record, every workflow, and every agent.
Search pages, articles, FAQs, knowledge-base entries, and gated resources. The CMS and the search engine read the same content model.
Search products, variants, categories, attributes, and inventory. The storefront and the search engine read the same catalogue model.
Search person records by tier, group, chapter, or status. The same record the form writes, the order touches, and the gated page reads.
Search dealers, courses, donors, beneficiaries, locations, claims. Every entity that models the business. Add an entity, search it the moment it goes live.
Search the order history, the invoice ledger, the B2B contract, the subscription record. The commerce ledger is searchable by the same engine that runs the storefront.
Search ranks against the same attributes the storefront and CMS personalise against. The personalisation rule and the ranking rule share the same person record.
A zero-result query, a high-volume term, or a ranking shift can fire a hook. Notify a team, escalate to approval, push to a BI tool, trigger a downstream flow.
Create, tune, scope, and audit search via any MCP client: Claude, ChatGPT, or a custom agent. Search ops become events the agent can route, summarise, or act on.
Yes. Indexes scale to millions of records with sustained query loads per property. Latency targets are sub-100ms at p95 on production workloads, scaled per property on the same infrastructure as the rest of the platform.
Yes. Core dna search exposes a full REST and GraphQL API alongside a built storefront search experience. Use the experience as-is, customise it, or render the API into your own front end.
Tune in plain language. Describe the change and set the scope: this brand, that region, the AU storefronts this week. The platform prepares a draft for approval. Synonyms, boosts, merchandising rules, and business rules all live in the same workflow as content and pricing.
A separate contract, a separate index, and a separate place to log in. Hybrid retrieval, faceting, ranking, personalisation, multi-language, and analytics stay. Most teams find their search experience improves because content, commerce, and customer data finally live in the same model.
Yes. Connector-based ingestion brings data from ERPs, PIMs, legacy CMSes, and partner systems into the same index. Once mapped to a custom entity, the data is searched, ranked, and personalised by the same engine as native records.
One model, every language, every region. Each property scopes its own language fallback, regional synonyms, and locale-aware ranking. A single query can match across languages or stay scoped to one, depending on the property's rule.
Bring your hardest search requirement to the demo.
