With the rise of instant and personalized search results on popular sites like Google and Amazon, users expect a similar experience from every site they visit, making "no results" pages frustrating roadblocks in the user experience. To avoid these roadblocks, companies must optimize their internal site search engines by adjusting relevance, semantic settings, and other components to provide relevant results even when queries are misspelled or use different terms. By handling synonyms, understanding customer trends, offering autocomplete suggestions, and refining relevance based on business needs and customer priorities, companies can eliminate "no results" pages and turn imperfect user queries into relevant results. Great site search systems also learn from missed opportunities to improve future searches, using tools like Algolia Recommend to provide contextually relevant recommendations when no relevant product or content is found. By optimizing their search engines, businesses can drive users back to relevant content quickly and increase click-through and conversion rates.