Structuring content for websites using a logical and well-organized information architecture makes it easier for crawlers and search engines to index relevant content for specific queries. However, some content does not break down easily, such as document-based search or purely textual content like blogs, technical documentation, and online news journals. The article proposes an optimized index and web page structure in large document search by avoiding common pitfalls, including indexing the entire page at once, relying on title-only indexing, and poor relevance tuning. Instead, it recommends breaking down each page into smaller chunks indexed as separate records, using a tie-breaking ranking algorithm to ensure that users receive relevant hits first, followed by business-relevance ties. The proposed approach uses Algolia's Tie-Breaking algorithm and custom ranking criteria to prioritize exact matches, proximity between query terms, attribute names, and business relevance, ultimately providing a better user experience for search results.