NAP, Categories and Hours: The Boring Local Data That Decides Whether AI Names You
Key Takeaways
- Name, address, phone, category and hours are the evidence every system uses to decide whether it knows what your business is. When sources disagree, confidence drops and you get left out of answers rather than shown incorrectly.
- The primary category is the single highest-impact field on your profile, and precision beats breadth: a specific category wins the queries that convert.
- Audit it by choosing a canonical record first, then comparing every source against it field by field. An hour for most businesses.
- Hours, including holiday exceptions, are the field that fails most often and the one customers punish hardest, because being wrong here costs a visit rather than a ranking.
- Markty AI keeps the parts you control in order, polishing your Google Business Profile details, descriptions and services so the record stays current.
Your name, address, phone number, category and opening hours are the least interesting assets your business owns and the most consequential. They are the evidence every system uses to decide whether it knows what your business is, and when the sources disagree the result is not a wrong answer. It is no answer, because a system that is unsure quietly names somebody else.
Why disagreement costs you
Nothing here is about ranking factors in the traditional sense. It is about confidence.
A model, or a map, assembles a picture of your business from many sources. Where those sources agree, the picture is firm. Where they disagree, every conflicting field weakens it. Three versions of your phone number across nine listings does not produce a business with three numbers; it produces a business the system is not confident it can describe.
That is why the symptom is absence rather than error. You do not see your wrong address in results. You see a competitor's right one.
The five fields, in order of impact
Primary category
The highest-impact field you will touch, and the one most often set carelessly at signup and never revisited. Choose the most specific category that accurately describes your main service. Specific wins the queries that convert; broad puts you in a fight with every business in your sector. Secondary categories are for services you genuinely offer, not for coverage, because padding dilutes the primary signal.
Name
Exactly as it appears on your signage and paperwork, identically everywhere. Adding a keyword to the listing name breaks the platforms' guidelines and risks suspension, and it is a short-term trade that has aged badly for everyone who made it.
Address
One format, chosen once, used everywhere: the same abbreviation of the street type, the same unit notation, the same postcode formatting. These variations feel too small to matter. They are precisely the kind of small that automated matching cares about.
Phone
One primary number, formatted the same way, ideally a local number where your customers expect one. Tracking numbers that differ per channel are the most common cause of inconsistency in businesses that have otherwise done everything right, so if you use them, keep one canonical number in every public listing.
Hours
Regular hours, plus the exception hours almost everyone leaves unset. Filters such as open now use this field directly, so wrong hours remove you from results you would have won. And this is the field with a trust cost attached: a customer who drives to a closed business does not just leave, they often write about it.
The one-hour audit
Write the canonical record. One document with the exact name, address, phone, primary category and hours. Everything else gets compared against this, so disagreements resolve in seconds instead of turning into a debate.
List every place your details appear. Your Business Profile, your website footer and contact page, Apple Maps, Bing Places, the directories your category uses, your social profiles, any booking or ordering platform, your invoices and email signature.
Compare field by field. Not at a glance. Field by field, because the errors that matter are the ones that look right.
Fix the profile first, then work outward, then re-check the ones that need a claim or verification step.
Keep the list. Next time this takes ten minutes instead of an hour, and it will be needed the first time anything changes.
What to do when something changes
A move, a new number, a rebrand or a change of hours is the moment inconsistency is created. The failure pattern is always the same: the profile gets updated, the website gets updated, and the seven other listings are discovered eight months later by a customer calling a disconnected number.
Do the whole list in one session. A half-updated set is worse than an entirely outdated one, because it creates active disagreement between sources rather than a single stale record.
Why this belongs in an AI visibility plan
Because it is the same evidence. The business data that makes a map confident enough to show you is the business data that makes an assistant confident enough to name you in a recommendation. There is no separate AI version of this work, which is fortunate, because there is barely time for the first version.
It is also the cheapest work in the whole of local visibility. No content to write, no budget to spend, an hour of attention, and it removes a ceiling you cannot see until it is gone.
Keeping it from drifting
Markty AI polishes the parts you control, keeping your Google Business Profile details, description and service list current and clear, and flagging the reviews and updates that need attention. Consistency is not a project with an end date; it is a maintenance habit, and it usually fails for lack of a reminder rather than a lack of agreement that it matters.