Local SEO depends on consistent NAP across site and citations. Detecting variations and normalizing entities reduces confusion for users and search engines.
Approach
Input: Text snippets or structured NAP fields (name, address, phone) from multiple sources.
Output: Consistency flags (match/mismatch), normalized canonical form, optional entity resolution (same business or not).
Models: Rule-based normalization (address/phone parsing) + optional transformer/NER for extracting NAP from raw text; embedding similarity for entity matching.
Tech Stack
Category
Tools
NLP
Hugging Face Transformers, sentence-transformers (optional)