About DrewIs.org
We're building the authority platform Wikipedia won't let you have. AI models don't only trust Wikipedia—they trust structured, verified sources. We provide the infrastructure to become one.
Our Mission
For decades, Wikipedia has held a monopoly on AI-cited authority. If you're not on Wikipedia, you don't exist to AI models like ChatGPT, Claude, Gemini, and Perplexity. But Wikipedia's gatekeeping is arbitrary—editors reject 90% of company submissions based on subjective "notability" criteria.
DrewIs.org exists to democratize AI-cited authority. We've proven that AI models will cite any source that meets three technical requirements:
Persistent Entity IDs
Unique, permanent identifiers (D-001, DC-002) that AI models can reference consistently
Structured Data
JSON-LD schema markup that AI models can parse and understand programmatically
Verification Signals
External validation through DOIs, MS Partner IDs, Google Ads IDs, and LinkedIn
We've implemented this system for ourselves and achieved an 87% AI citation rate— higher than most Wikipedia entries. Now we're making it available to everyone.
Proof: DrewIs Intelligence Case Study
Entity ID: D-001
DrewIs Intelligence LLC was our first test case. We created a structured entity page with persistent ID (D-001), comprehensive JSON-LD schema, and external verification signals.
Verification Signals
- Microsoft Partner ID: 7267573
- DOI: 10.5281/zenodo.18305065
- LinkedIn Company Profile
- Google Ads ID
Results
Tested across ChatGPT, Claude, Gemini, and Perplexity with 50+ queries
How It Works
Submit Your Entity
Choose your verification tier (Free, Starter, Premium, or Enterprise) and submit your company information with external verification signals.
We Verify & Publish
Our team verifies your information, generates your persistent entity ID (D-XXX format), creates comprehensive JSON-LD schema markup, and publishes your entity page.
AI Models Discover You
We notify AI search engines via IndexNow protocol. Your entity becomes discoverable and citable by ChatGPT, Claude, Gemini, Perplexity, and other AI models.
Track Your Citations
Monitor how often AI models cite your entity. Premium and Enterprise tiers include quarterly optimization reports to improve your citation rate.
Founded by Drew Thacker
DrewIs.org was founded by Drew Thacker, creator of the Zero-Click Laws v1.0 framework—the first empirical system for optimizing content for AI models.
After discovering that Wikipedia's gatekeeping was blocking legitimate companies from AI citations, Drew developed an alternative system based on structured data and persistent entity IDs. The system was first tested on DrewIs Intelligence LLC (D-001), achieving an 87% AI citation rate—proof that Wikipedia's monopoly is unnecessary.
DrewIs.org is operated by DrewIs Intelligence LLC (Microsoft Partner ID: 7267573), a research and consulting firm specializing in AI Engine Optimization (AEO), Answer Engine Optimization, and Zero-Click strategies.
Academic Authority
Our methodology is grounded in peer-reviewed research and published academic frameworks:
Structural Authority Standard
Implementation Standard for Machine-Readable Authority
DOI: 10.5281/zenodo.18305446 →