<p>Single-molecule analysis techniques, including single-molecule fluorescence resonance energy transfer (smFRET), super-resolution microscopy (SRM), and force spectroscopy, provide indispensable insights into molecular heterogeneity and transient dynamics. However, the quantitative power of these approaches is fundamentally limited by conventional stochastic labeling methods, which often yield heterogeneous stoichiometry, functional perturbation, and substantial spatial uncertainty due to linkage errors. To address these challenges, this review systematically examines state-of-the-art strategies for precise, site-specific fluorophore attachment. We categorize key approaches ranging from well-established chemical modifications (e.g., cysteine-maleimide) to advanced enzymatic tags (e.g., SNAP-tags, HaloTags) and genetic code expansion (GCE) coupled with bioorthogonal chemistry. Crucially, beyond a mere overview of methods, we highlight an integrative workflow that synergizes these labeling strategies with advanced computational modeling—such as structural prediction and molecular dynamics simulations—to enable rational experiment design and minimize linkage errors. We further discuss how these optimized protocols enhance labeling stoichiometry and probe photostability, thereby extending the spatiotemporal resolution of in-cell imaging. Finally, we conclude with emerging directions, focusing on orthogonal multi-site labeling schemes and next-generation fluorophores that promise high-fidelity molecular tracking under physiologically relevant conditions.</p>