Lu.tool SEO Content Auditor

Lu.tool SEO Content Auditor analyzes input content and metadata to quantify on-page SEO quality. It targets content marketers, editors, and web teams aiming to improve rankings and click-through. The tool scores elements such as title clarity, meta description length, heading structure, keyword usage, internal linking, image alt text, and overall content length. It operates on user-provided content rather than scraping live pages, ensuring privacy and reproducibility.
Conceptually, the tool applies a weighted scoring model. Each input is normalized, scored, and combined into an overall score, with transparent breakdowns for title (how well it communicates topic and length), meta description (relevance and length), headings (H1 presence and section coverage), content quality (depth and readability), and links (internal and external linking patterns). Optional advanced checks include semantic relevance, canonical usage, and schema markup presence.
Who benefits? Content teams releasing pages, agencies conducting audits, and SEO practitioners who want repeatable workflows. Unique value includes cross-element scoring, recommended rewrites, and a direct mapping from score improvements to concrete edits, such as expanding sections, adding target keywords, or adjusting meta copy. It complements keyword research by validating implementation against real content assets and localization needs.
Core features include: multi-field input, automatic scoring, optional benchmarking against best-practice templates, readability assessment, and exportable results. Use cases include drafting new articles, optimizing existing pages, and preparing client-ready audit reports.