Directory listing

A directory listing is more than just a phone number. When you claim or create a listing on Yelp, BBB, or Yellow Pages, you're filling in a structured profile that includes:

• Core NAP: Name, Address, Phone (the three fields Google monitors most closely)
• Hours of operation: Critical signal for rank and for AI recommendations
• Business description: Keyword-bearing text that influences ranking and helps AI understand what you do
• Categories/attributes: Whether you take cards, do curbside pickup, have parking
• Photos and media: User-uploaded images, logo, storefront
• Customer interaction surfaces: Reviews, Q&A, booking buttons
• Website and social links: Clickthrough URLs that feed into your backlink profile

Each directory weights these fields differently. Yelp prioritizes categories and description. BBB emphasizes years in business and complaint history. Yellow Pages indexes hours and listing age. Foursquare feeds into Apple Maps and Google's local algorithm. An agent checking citation consistency across directories is really checking whether all these fields agree.

Directory listings are the backbone of the citation graph. When you audit NAP consistency, you're scanning 50+ directory listings looking for mismatches. When Google builds its local business index, it's aggregating signals from every major directory listing your business appears on. When data aggregators like Neustar, Factual, or Foursquare Pinpoint compile a "canonical" business record, they're pulling from directory listings.

The sequence runs: you update Google Business Profile → GBP feeds its data downstream to 20-40 aggregators → aggregators feed downstream directories (thousands of them) → those directories appear in AI Overviews and ChatGPT local recommendations. A directory listing that's out of date in the middle of that chain doesn't just hurt your rank—it corrupts the data that AI models use to recommend you. That's why the audit-fix-monitor loop focuses on directory listings first.

The most common issues an agent finds when auditing directory listings:

• Outdated information: Old phone numbers, addresses from a previous location, hours that changed in 2023 but the listing wasn't updated
• Duplicate or abandoned listings: Multiple profiles for the same business (one current, others ghost accounts), or claimed-but-neglected profiles that confuse the algorithm
• Inconsistent business names: One listing has "Smith Plumbing LLC", another has "Smith Plumbing", another has "Smith Plumbing & Heating"
• Incomplete profiles: Missing description, no hours, no category selection — weak signal
• Aggregator pollution: One bad entry in a data aggregator creates 50 bad directory listings downstream
• Photos or branding inconsistency: Old logo, unlocked profile anyone can edit, user-submitted photos that hurt credibility

These aren't equally severe. A missing hours entry on Yellow Pages is a nuisance; a different phone number on Yelp signals Google that something is wrong with the business.

Not every directory listing is something you created. Many are auto-generated by aggregators or scraped from public records. The work splits into two types:

• Claiming: You find a listing that already exists (aggregator created it, Google created it, a customer created it), verify ownership, and take control. Once claimed, you can update the data directly.
• Creating: For some directories, no listing exists. You're starting from scratch. This is rare for major directories (Yelp, Google, BBB) but common for industry-specific directories (Avvo for lawyers, Angie's List for contractors, Healthgrades for medical).

For most local businesses, the claiming workflow is the constraint. A business might have 60 directory listings across major + minor directories, and 40 of them are unclaimed. An agent can scan a set of directories, identify which are claimed vs. unclaimed, and create a prioritized list ordered by impact (major directories first, high-traffic directories first).