Audit my business listings across online directories
A checklist and tracker to find, fix, and claim your listings so your name, address, phone, and details match everywhere.
The prompt
Help me audit my business listings across online directories and review sites.
Business name, plus any previous names or common misspellings: [DETAILS]
Address and phone (current, and any previous): [DETAILS]
Website URL: [URL]
Business type and location: [e.g. "independent hotel in Lisbon", "dental clinic in Austin"]
Directories I already know about: [list, or paste my spreadsheet of directories to check]
Give me:
1. Priority directory list for my business type and country: the core platforms (maps and search profiles, major review sites), industry-specific directories (e.g. travel sites for hotels, health directories for clinics), and local or data-aggregator sources. Mark any you're unsure about [CONFIRM].
2. Search method for each one, including searching by old names, old phone numbers, and old addresses to catch outdated or duplicate listings.
3. Tracker columns: Directory | Listing URL | Found? | Name as listed | Address as listed | Phone as listed | Website as listed | Category | Description | Photos/hours OK? | Claimed? | Issues | Action | Owner | Done date.
4. What counts as a mismatch: name variations, suite numbers, old phone numbers, wrong categories, missing website links, outdated hours, duplicates.
5. Fix priority: duplicates and wrong contact details first, then unclaimed high-traffic profiles, then descriptions and photos.
6. A standard listing kit to reuse everywhere: exact name, address format, phone, short and long description, categories, and hours.
Do not claim you have checked live listings unless I paste what you're reviewing.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore SEO & Website prompts
What to fill in
- DETAILS
- URL
- e.g. "independent hotel in Lisbon", "dental clinic in Austin"
- list, or paste my spreadsheet of directories to check
- CONFIRM
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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