The Citations That Actually Make
AI Recommend You
Not all citations are equal. LLMs train on specific, high-authority data sources — and if you're not in them, you don't exist to AI.
Your Generic Citations Aren't Moving the Needle
Most citation services blast your business info to 200+ directories nobody has ever heard of. LLMs don't train on random directory sites. They pull from a specific set of high-authority data aggregators, industry databases, and niche sources — and if you're not there, you're invisible to AI search no matter how many total citations you have.
The difference between a business that shows up in ChatGPT recommendations and one that doesn't often comes down to which citations they have — not how many.
50+ citation sources ranked and prioritized by their actual influence on LLM training data — so every submission moves your AI visibility score.
Not 200 Citations. The Right 50.
We've mapped the exact data sources that power ChatGPT, Claude, Gemini, and Perplexity's local business knowledge. Every citation submission is prioritized by its downstream impact on LLM training — so you get maximum score lift from every dollar spent.
- 50+ sources ranked by verified LLM training weight
- Core data aggregators (Neustar, Foursquare, Data Axle, Acxiom)
- Industry-specific directories matched to your business category
- Regional and niche databases with high local AI influence
- Wikipedia, Wikidata, and structured knowledge graph entries
- Full NAP consistency enforcement across all submissions
We classify every citation source by its actual impact on LLM outputs — not just domain authority or traffic. Here's how the tiers break down.
Core Data Aggregators
These are the backbone of local business data in LLM training sets. Missing from even one is a major gap.
Major Platforms & Portals
High-traffic portals and knowledge bases that LLMs cite directly when answering business queries.
Vertical & Niche Directories
Category-specific directories carry heavy signal weight for AI queries within those verticals.
Structured Knowledge Sources
Structured data sources that feed directly into AI knowledge graphs and entity recognition systems.
A systematic four-step process that builds your citation profile from the ground up — targeting the sources that actually matter to AI platforms.
Citation Audit
We scan 50+ sources to find where your business is listed, where it's missing, and where the NAP data is inconsistent or wrong.
Gap Identification
Every missing or broken citation is ranked by its LLM impact score, so you know exactly which fixes will move your AI visibility score the most.
Automated Submissions
We handle all submissions — building new listings, correcting inaccurate data, and ensuring NAP consistency across every source in your plan.
Status Tracking
Live dashboard shows submission status, indexed count, score impact per source, and new citation opportunities as your industry profile evolves.
Generic citation services weren't built for AI. We were.
| Feature | DiscoveryMax | Generic Citation Service |
|---|---|---|
| Sources ranked by LLM training weight | ✓ Yes | ✗ No |
| Core aggregator coverage (Neustar, Data Axle, Foursquare) | ✓ Verified | ✗ Often missing |
| Industry-specific directory matching | ✓ Automated | ✗ Generic list only |
| AI visibility score impact tracking | ✓ Real-time | ✗ Not offered |
| NAP consistency enforcement | ✓ Ongoing | ✗ One-time only |
| Knowledge graph submissions | ✓ Included | ✗ Not offered |
| Score impact per citation source | ✓ Shown in dashboard | ✗ No data |
Find Out Which Citations You're Missing
Get your free AI Visibility Score — we'll show you exactly which citation gaps are costing you AI recommendations right now.