Juliana and Krasimir show how they created a Small Language Model to determine if search queries are linked to real visitor issues or purchase objections. By applying natural language processing and textual entailment (if the meaning of one text can be inferred from another) their model can improve landing pages, product detail pages, and category pages based on the content visitors search for. Learn practical strategies to apply these insights in your workflows…almost immediately. Spoiler alert: not using commercial Large Language Models!