for b2b commerce
b2b catalogs, ai-legible
deep taxonomies, spec-heavy products, and buying agents. alana structures your b2b catalog so both ai search and procurement agents can navigate it.
the reality
b2b catalogs are dense and machine-hostile
spec-heavy products
part numbers, tolerances, and technical specs that keyword search and ai both struggle with.
deep taxonomies
thousands of categories and variants that drift and confuse models.
buying agents
procurement is automating. agents need a structured way to query and compare.
the b2b stack
make dense catalogs legible to search and agents
channel 2
search that handles specs
semantic search that understands part numbers, technical queries, and deep taxonomies.
- part-number and technical query understanding
- faceted, spec-aware ranking
- normalized attributes at scale
ai search · your storefront
understood intent · no zero results · 3 matches
aurora silk midi dress
silk · evening · sapphire
merino wool overcoat
wool · winter · tailored
leather crossbody bag
leather · everyday · compact
channel 3
agent-ready via mcp
expose your catalog as mcp tools so procurement agents can query, compare, and reorder.
- mcp tools for procurement agents
- programmatic api access
- always-in-sync structured data
mcp distribution
catalog published to 4 assistants
3,124
skus live
1,890
ai citations / wk
4
channels
ready to make your catalog shoppable by ai?
start with a free ai commerce score and see exactly how ai assistants see your products.