About DrewIs Intelligence LLC
The research company behind the Zero-Click Laws v1.0 framework and the AEO Scanbot — the world's first audit tool that finds and fixes AI visibility issues automatically.
Who We Are
DrewIs Intelligence LLC is an independent research and technology company founded by Drew Thacker, specializing in AI Engine Optimization (AEO), Generative Engine Optimization (GEO), and Zero-Click search strategy. The company publishes peer-reviewed frameworks, builds optimization tools, and advises businesses on how to remain visible in a world where AI models — not human clicks — increasingly determine which brands get found.
Our research is published through Zenodo, SSRN, and PRNewswire, and our frameworks are cited by practitioners across the AEO and GEO community. The company holds an official Microsoft Partner ID (7008756) and Google Ads ID (571-132-1182), and maintains a machine-readable Core Logic Node at drewisintelligence.com/api-index.json for AI model discoverability.
The full company whitepaper, The Zero-Click Paradigm, is publicly accessible at drewis.ai/whitepaper.
Zero-Click Laws v1.0
The Empirical Framework for AI Visibility — DOI: 10.5281/zenodo.18305065
The Zero-Click Laws v1.0 is a peer-reviewed empirical framework that defines the structural, semantic, and authority signals that determine whether a website is cited, surfaced, or ignored by AI answer engines including ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot. It is the scoring foundation that powers every audit the AEO Scanbot runs.
Technical Signals
Technical ScoreCanonical tags, structured data (JSON-LD), schema markup completeness, and crawlability signals that allow AI models to parse and trust page content.
Structured Data
Schema ScoreOrganization, Product, Article, BreadcrumbList, WebSite, and SearchAction schemas that give AI models machine-readable entity context.
Answerability
AEO ScoreFAQ schema, speakable markup, clear question-and-answer content structure, and concise factual statements that AI models can extract and cite directly.
Trust & Authority
Trust ScoresameAs entity links, DOI citations, verified business identifiers, HTTPS, and external authority signals that establish entity credibility for AI models.
GEO & Local Signals
GEO ScoreLocalBusiness schema, NAP (Name/Address/Phone) consistency, hreflang for multi-language sites, and geographic entity signals for local AI search.
Performance
Performance ScorePage load speed, Core Web Vitals, and mobile responsiveness — foundational signals that affect crawl frequency and AI model confidence in content freshness.
Published Research
Zero-Click Law System (Empirical Framework) — DOI: 10.5281/zenodo.18305065
Structural Authority Standard (Implementation Standard) — DOI: 10.5281/zenodo.18305446
AEO Scanbot Technical Reference — DOI: 10.5281/zenodo.18140739
What the AEO Scanbot Does
The AEO Scanbot is the only audit tool built directly on the Zero-Click Laws v1.0 framework. It crawls your website, scores every page across six dimensions, identifies every issue reducing your AI visibility, and — for paid subscribers — automatically fixes the issues it can correct without human intervention.
Scan
Full structural crawl of your website. Every page analyzed across Technical, Schema, AEO, Trust, GEO, and Performance dimensions.
Report
Detailed PDF report with scores, issue severity levels, and specific recommendations. Comparison reports show before/after improvement.
Fix
One-click automated fix for Class A issues: canonical tags, JSON-LD injection, schema patching, and structured data corrections.