NAP and Entity Consistency Checker

How to use

1. Choose the country for phone numbers that do not start with a plus sign.
2. Fill row 1 with your reference, such as your website or Google Business Profile, then add up to four more listings.
3. Paste the name, address and phone exactly as each directory shows them.
4. Read the table, fix the fields marked Differs or Close at their source, and check again.

What it checks and how it works

Each listing is compared with row 1, field by field, after normalising. Names lose case, punctuation, Arabic letter variants and legal suffixes such as LLC. Addresses lose punctuation and expand common abbreviations such as St and Rd. Digits are converted to Latin, and phone numbers are parsed with libphonenumber-js into one international format. A field is a Match when the normalised values are equal, Close when the words are the same in another order or the Levenshtein similarity is at least 85%, and Differs otherwise.

The normalisation rules and the 85% threshold are Zaher's choices, not a standard. Phone parsing checks the number's format, not whether the line is in service. Google's guidelines ask that a business name reflect its real-world name as used on the storefront and website, which is the rule the reference row should follow. The tool compares what you paste and looks nothing up.