XCI Extractor

XCI Extractor identifies Cross-Content Identifier tokens in text and HTML sources and outputs a structured dataset describing each token's frequency, position, and surrounding context. It targets SEO teams, content auditors, and data engineers who need to quantify cross-references and map their distribution across a content corpus.
Conceptually, it treats XCI as a repeatable token pattern and uses a configurable regular expression to locate matches. It processes input streams in a memory-efficient way, counts occurrences per token, and records precise locations. The output supports downstream analytics in dashboards, pipelines, or batch reports.
Core value and use cases: auditing internal links, verifying coverage of cross-references, identifying token-heavy sections, and supporting normalization across languages. It can ingest multiple sources, produce per-token and per-source summaries, and export to JSON or CSV for integration with data tools.
Unique differentiators: customizable pattern matching, streaming processing for large corpora, deterministic results across runs, and ready-to-ingest outputs. It is designed for large corpora and multilingual content, with clear token-level metadata and minimal dependency on UI details.