How LTV.ai picks products for a campaign from plain language
Describe a campaign in plain language and LTV.ai picks an on-theme, on-brand set of products using semantic search and diversity re-ranking.
Quick answer: Describe a campaign in plain language and LTV.ai selects a curated, on-theme set of products from the catalogue. It interprets the request, searches the catalogue by meaning rather than keywords, and re-ranks for variety, so you get a coherent selection rather than five near-identical items.
Why keyword matching fails here
"Outdoor cooking essentials" should surface grill brushes and cast-iron skillets even if neither product description contains those words. Keyword search misses that. LTV.ai searches the catalogue semantically, by meaning, so the right products surface even when the wording does not match.
The selection pipeline
First, the campaign description is interpreted into a small set of targeted queries. Then each query matches products by meaning against an embedded version of the brand's catalogue. Then the results are re-ranked for diversity, so the selection spans categories instead of returning variations of one item. If too few strong matches exist, the system backfills with best-sellers and flags them as fallback, so genuine matches are never confused with filler.
Why it feels instant
Product selection is prepared ahead of the moment the marketer needs it, so when the selection step opens it is already populated. If it is not ready, manual selection still works; nothing blocks. The catalogue is kept fresh so recommendations reflect current inventory.
Frequently asked questions
Does it only push best-sellers? No. Best-sellers are a fallback; the primary selection is by semantic relevance and diversity.
Can I override it? Yes. You accept, swap, or add products.
Part of the machine learning behind LTV.ai, a series on how the platform works under the hood.
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