AI Trace uses AI to power its search function so that results are matched by meaning rather than exact word overlap — for example, a search for 'AI voice acting' can surface results described as 'synthetic speech in games.'

The platform converts every company profile and practice entry into a vector embedding using OpenAI's text-embedding-3-small model. When a user searches, the query is converted into the same format and compared against stored embeddings using cosine similarity. This runs alongside traditional keyword matching and fuzzy text matching. Embeddings are generated once per content update and stored in the database. The embedding model does not retain or train on user queries.