Why it matters
A hydraulics distributor seeds its entity on Wikidata, the subreddits where its buyers ask cross-reference questions, and the trade directories its competitors already sit in. Then, when an LLM assembles an answer about that niche, the brand is already in the sources it pulls from. This is upstream work. You are not editing your own site to rank. You are placing facts on the third-party pages a model reads before it answers, so your name shows up in the response whether or not the buyer ever visits your domain.
LLM seeding vs citation engineering
The two overlap and are easy to confuse. LLM seeding is about presence on external sources a model ingests. Citation engineering is about being named as a source inside the generated answer. Seeding gets your facts into the training and retrieval pool. Citation work earns the attribution link. You usually do both, and seeding tends to come first.
In practice
Pick the sources that actually feed answers in your category. For an MRO parts supplier that often means a clean Wikidata entry tied to your brand, accurate listings in the distributor directories engines scrape, and honest answers in the supply-chain and maintenance subreddits where buyers post part-number questions. Keep the data consistent with your PIM so the seeded facts and your catalog agree. The aim is simple. When an engine reaches for context on your niche, it finds you already there.