Apply local-first accumulation for chunk-level optimizer progress.

Accept incremental BERT phrase gains during optimization.

Add semantic gap tolerance and detailed gap attribution.

Improve optimizer attribution and multi-edit batch search.

Add deep LLM-input diagnostics for chunk optimization debugging.

Implement two-stage optimizer acceptance with multi-chunk batching.

Improve optimizer span selection to avoid repeated chunk edits.

Expand full functional documentation with algorithmic details.

Add comprehensive functional documentation and README links

Initial commit: SEO AI Editor MVP with BERT, BM25 and N-gram analysis