SEO Content & Domain Analysis

Purpose & User Intent: The tool provides a precise assessment of on-page content quality, keyword relevance, and domain signals for online tools sites. Target users include SEO managers, content strategists, and tool publishers who plan, optimize, audit, or benchmark search performance. It is used during content development, pre-publish optimization, site-wide audits, and competitive analysis to surface gaps and generate concrete, actionable improvements.
Core Logic & Features: Core capabilities are divided into required and optional/advanced features. Required: content quality scoring based on readability, topical depth, and semantic coverage; keyword relevance scoring that measures target keyword usage and semantic variants; essential technical signal checks (title tag length and structure, meta description length, H1/H2 usage, canonical presence, and image alt attributes); domain-level structure checks such as internal linking density and crawlable architecture; structured outputs including a composite SEO score, sub-scores, and prioritized recommendations. Optional/advanced: competitor benchmarking, historical trend analysis, export to CSV/JSON, API access, localization hints, and multilingual scoring.
Inputs & Outputs: Inputs include domain URL (string, e.g., https://example.tools), target_keywords (array of strings), content_sample (string), language (ISO code, e.g., en), region (optional, e.g., EU), advanced_options (optional object). Validation: domain must be a valid URL; target_keywords non-empty; content_sample length threshold (min 150 words); language supported. Outputs include composite_score (0–100), sub_scores: content_quality, keyword_relevance, semantic_coverage, technical_signals (0–100 each), readability_score (0–100), and recommendations (array of strings). Formatting: scores as integers; recommendations as concise items; outputs are machine-parseable and human-readable.
Algorithms & Calculations: The tool computes a weighted SEO score: composite_score = 0.4*content_quality + 0.25*keyword_relevance + 0.15*semantic_coverage + 0.2*technical_signals. content_quality combines readability (Flesch-like score), topical depth (topic-model score 0–100), and semantic coverage (presence of related entities). keyword_relevance measures frequency and proximity of target keywords and semantic variants within the sample. semantic_coverage uses entity and synonym detection. technical_signals include title length and presence, meta description length, header hierarchy, image alt attributes, and canonical tag status. All sub-scores are capped at 0–100.
Error & Edge Cases: If required inputs are missing or invalid, return error codes and empty scores. If domain data is unavailable, default sub-scores to 0 with a warning flag. If content_sample is shorter than minimum, raise a data insufficiency flag. If language is unsupported, fallback to English with a notifier. External data like competitor benchmarks may be rate-limited or unavailable.
Industry/Region & Localization: Aligns with industry standards: uses Schema.org metadata, Open Graph fields, and hreflang hints for localization; supports English and major European languages; considers regional search intent signals; uses locale-aware keyword matching and readability metrics.
Assumptions & Exclusions: Assumes inputs reflect current content and site structure. Excludes off-page factors (backlinks, trust flow) and does not perform a full technical crawl. Not a replacement for a full site audit; not a backlink indexer or SERP test tool. Data privacy and rate limits apply.