NAP Consistency & NAP Syndication: The Complete Guide

NAP syndication is the automated distribution of one canonical Name, Address and Phone record to a network of directories and data aggregators, so every downstream listing inherits the same details instead of being typed in by hand, one at a time, on every directory it reaches. It is the mechanism, not the goal: NAP consistency is what syndication is supposed to produce, and a syndication feed fed by a stale source spreads the wrong data just as efficiently as the right one.

The full mechanics, including what happens to synced listings if you ever cancel a subscription, are in what is NAP syndication. The one-line definition is in the glossary.

Your NAP is not stored in one place; it is copied across several different kinds of listing, and each kind propagates on its own schedule. Knowing which is which is what turns an audit from guesswork into a checklist.

A NAP listing is any one row in that table: a Google Business Profile, a Foursquare page, a single directory entry. The NAP data inside it is the citation. See what are local citations for the full definition.

A NAP score is a single number a tool computes to summarise how closely your business name, address and phone number agree across the listings it found. We found no NAP score defined by Google or any other search engine. Every number you see is one tool’s own scale, so a 90 from one tool and a 90 from another can mean different things, and the number is only worth trusting if the tool says what it counts.

Ours is deliberately simple. The NAP checker reads each source it can reach, compares the three fields you entered with what that source publishes, and divides the fields that match by the fields it could compare. Two rules do most of the work: a field a listing does not publish is skipped instead of counted against you, and a listing that is missing altogether does not lower the score, because absence is a coverage problem shown separately. Only sources the checker actually read count.

A worked example: three listings with three comparable fields each give nine fields. If one listing carries an old phone number, eight match and one does not, which is 8 of 9, or 89, a B. In that example one wrong field on one listing costs eleven points, which is enough to drop a clean business from an A to a B.

Our own anonymous benchmark gives the numbers a score should be read against. Since 2026-09-04 the checker has run 99 anonymous scans, and 83 of them found the business. The average score was 85 out of 100, computed over checkable fields only. 42 percent had at least one mismatch: the phone number in 25 percent of scans, the address in 22 percent and the name in 10 percent. 60 percent were missing from OpenStreetMap. It is a small, self-selected sample of people who chose to run a check, so read it as a direction and not as an industry statistic.

Our take: do not chase 100. A score is a to-do list in disguise. The useful output is the row that says which source disagrees and what it shows, because that is the one thing you can fix. Run the NAP checker, fix the highest-authority mismatch first, and re-run it.

The table above shows where NAP listings live; this is how to find the ones you already have. Most owners remember the three or four they created themselves and miss the rest, which were made by a former agency, a directory that scraped a public source, or a customer who added the business to a map.

1. Search the phone number, not the name. Put the number in quotes in a web search, once in each format you have ever used. Old numbers and rebrands show up here because the number stays attached to the old listing.
2. Check the open map data. The NAP checker reads OpenStreetMap, Foursquare, TomTom and your own website and shows each value next to what you entered, plus any second record that carries your number.
3. List the directories where a listing should exist. The free local citation finder shows the ranked citation sites for your country and industry, so you know which of them to search by hand and which you are missing.
4. Record each one. A listing you cannot find again is a listing you cannot keep accurate. Note the URL and the date.

Expect to find some that are wrong rather than missing. Across our own pre-build audits, 28 directory rows were parked because an existing listing already carried stale details, such as an old phone number, a rebrand or a closed status, so the right move was to correct or claim it instead of building a second one. See find and fix duplicate listings for what to do when you find two.

Work through these in order; each step makes the next one faster because it narrows what you still have to fix.

1. Write one master NAP record: the exact legal name, one address format and one phone number that rings.
2. Run the free NAP checker to see what the web currently says about your business.
3. List every place your NAP appears: map platforms, global anchors, and your country and industry directories.
4. Find and merge duplicate listings before touching anything else; see find and fix duplicate listings.
5. Correct the highest-authority sources first: your own website, Google, Apple, Bing and Foursquare, because aggregators copy from them.
6. Work down the full list with the NAP inconsistency fix guide.
7. If you have moved, follow changing your address everywhere so the update reaches every copy, not only the ones you remember.
8. If you have rebranded, follow updating a business name across listings: an old name often survives on two or three forgotten directories.
9. Re-check on a schedule, not once. Directories drift even when nothing about your business changes.
10. Hand the ongoing re-checking to citation management once it starts slipping.