Apple And Bing Map Listings
Apple Maps is the default on every iPhone and feeds Siri, CarPlay and a large share of direction requests, and its data arrives through a different pipeline with different partners. A business can be well optimised in Google and still be a wrong pin or a closed listing in the app its customers actually open. Volumes here are far below Google, so treat this as a correction and hygiene exercise rather than a second full programme.
FORMAT
apple-and-bing-map-listings.md
WHEN TO REACH FOR THIS
Use when all local effort has gone into Google and nobody has checked whether the business is claimed, correctly pinned and open on Apple Maps, Bing Places and the assistants and in-car systems fed by them.
The skill file
apple-and-bing-map-listings.md
---
name: apple-and-bing-map-listings
description: Use when all local effort has gone into Google and nobody has checked whether the business is claimed, correctly pinned and open on Apple Maps, Bing Places and the assistants and in-car systems fed by them.
---
# Apple And Bing Map Listings
Apple Maps is the default on every iPhone and feeds Siri, CarPlay and a large share of direction requests, and its data arrives through a different pipeline with different partners. A business can be well optimised in Google and still be a wrong pin or a closed listing in the app its customers actually open. Volumes here are far below Google, so treat this as a correction and hygiene exercise rather than a second full programme.
## What you need first
- The canonical NAP, hours and category set already agreed for Google
- Access to Apple Business Connect and Bing Places, plus the email addresses holding any existing claim
- The audience device split, since an iPhone-heavy audience raises the priority
- A check of how each listing currently appears on a real handset, not a desktop
## Method
1. Check each platform on a real device first, including the pin position, the entrance the route ends at, and the hours. A misplaced pin does more damage than a missing description and is invisible from a desktop check.
2. Claim before editing. Unclaimed listings are assembled from third-party data, and any suggested edit is overwritten at the next feed refresh.
3. Copy the canonical NAP across exactly rather than rewriting it, since these records are also read as identity evidence and a divergent version undoes the consistency work already done.
4. Correct the pin and the entrance point to the actual door, then request directions from a phone and follow where it sends you. This is the one correction that changes customer behaviour on the day.
5. Map categories into each platform taxonomy deliberately, because they do not match Google. Picking the nearest sounding label drops the listing out of the platform equivalents of category filters.
6. Set the same regular and special hours everywhere, since assistants read hours aloud as fact and a wrong closing time produces a complaint rather than a lost position.
7. Recheck on a device quarterly, because third-party feeds reassert themselves and pins drift back after road and building data updates.
## What this produces
Claimed and corrected Apple Business Connect and Bing Places listings with verified pins, mapped categories and matching hours, plus a dated quarterly recheck.
## Where this goes wrong
- Giving this the same effort as Google, which does not repay: the volume is a fraction and the return comes from correcting errors rather than from optimisation
- Editing without claiming, so the underlying feed reverts the change and nobody notices for months
- Copying Google categories across verbatim into a different taxonomy, which removes the listing from platform filters
- Ignoring the entrance point on large sites, so navigation routes customers to a loading bay or the far side of a car park
---
From the QuQi skill library - https://www.quqi.io/skills/apple-and-bing-map-listings
Free to download · no account, no email
What you need first
-
The canonical NAP, hours and category set already agreed for Google
-
Access to Apple Business Connect and Bing Places, plus the email addresses holding any existing claim
-
The audience device split, since an iPhone-heavy audience raises the priority
-
A check of how each listing currently appears on a real handset, not a desktop
Method
-
01
Check each platform on a real device first, including the pin position, the entrance the route ends at, and the hours. A misplaced pin does more damage than a missing description and is invisible from a desktop check.
-
02
Claim before editing. Unclaimed listings are assembled from third-party data, and any suggested edit is overwritten at the next feed refresh.
-
03
Copy the canonical NAP across exactly rather than rewriting it, since these records are also read as identity evidence and a divergent version undoes the consistency work already done.
-
04
Correct the pin and the entrance point to the actual door, then request directions from a phone and follow where it sends you. This is the one correction that changes customer behaviour on the day.
-
05
Map categories into each platform taxonomy deliberately, because they do not match Google. Picking the nearest sounding label drops the listing out of the platform equivalents of category filters.
-
06
Set the same regular and special hours everywhere, since assistants read hours aloud as fact and a wrong closing time produces a complaint rather than a lost position.
-
07
Recheck on a device quarterly, because third-party feeds reassert themselves and pins drift back after road and building data updates.
What this produces
Claimed and corrected Apple Business Connect and Bing Places listings with verified pins, mapped categories and matching hours, plus a dated quarterly recheck.
Where this goes wrong
-
Giving this the same effort as Google, which does not repay: the volume is a fraction and the return comes from correcting errors rather than from optimisation
-
Editing without claiming, so the underlying feed reverts the change and nobody notices for months
-
Copying Google categories across verbatim into a different taxonomy, which removes the listing from platform filters
-
Ignoring the entrance point on large sites, so navigation routes customers to a loading bay or the far side of a car park
Use this skill in your own AI
The download is a plain markdown file with the name and trigger in its frontmatter. Where an assistant supports skills it can load itself, that frontmatter is what it reads to decide this one applies.
Claude Code
Save it as ~/.claude/skills/apple-and-bing-map-listings/SKILL.md and Claude loads it on its own when what you are doing matches the trigger line. Put it in .claude/skills inside a project instead if the whole team should have it.
Claude
Upload the file in the skills section of your settings. Once it is there it applies itself in any conversation where the trigger fits, so you do not have to remember it exists.
ChatGPT
There is no skills format to install into, so paste the file contents into a Project instruction or a Custom GPT instead. It then applies to every chat in that project rather than only the one you paste it into.
Anything else
Paste the markdown into the chat before your question. It works in any assistant, it just has to be pasted again each time.
Questions about this skill
When is this worth doing rather than more Google work?
When Google is already in order and nobody has checked the app the customers actually open. Apple Maps is the iPhone default and feeds Siri and CarPlay through a separate data pipeline, so a business can be well optimised in Google and still be a wrong pin here. Volumes are far below Google, so treat it as correction rather than a second programme.
What do I need in hand before starting?
The canonical NAP, hours and categories already agreed for Google, access to Apple Business Connect and Bing Places including the email addresses holding any existing claim, and the audience device split. Check each listing on a real handset first. A misplaced pin or a wrong entrance is invisible from a desktop check and does more damage than a missing description.
What do I end up with, and which part of it gets used?
Claimed listings with a corrected pin and entrance point, categories mapped into each platform taxonomy, hours matching everywhere, and a dated quarterly recheck. The pin correction is the item that changes customer behaviour on the day. Request directions from a phone and follow where it sends you rather than trusting that the marker looks about right.
What ruins this most often?
Editing without claiming. Unclaimed records are assembled from third-party data and any suggested edit is overwritten at the next feed refresh, usually unnoticed for months. The other one is copying Google categories across verbatim into a taxonomy that does not match, which drops the listing out of the platform equivalents of category filters.
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