CRIT Framework by Geoff Woods
📑 What Is the CRIT Framework? Who Is Geoff Woods? Breaking Down CRIT: Context, Role, Interview, Task Why CRIT Matters for Law Firms CRIT Framework Examples for Legal Professionals How to Implement CRIT Today Frequently Asked Questions The CRIT Framework—Context, Role, Interview, Task—is a structured AI prompting methodology developed by Geoff Woods, author of The AI-Driven Leader, that transforms how professionals communicate with AI tools like ChatGPT, Claude, and Google Gemini. Rather than treating AI as a simple content generator, CRIT positions AI as a strategic thought partner capable of solving complex business problems in minutes rather than weeks. With 31% of legal professionals now using generative AI at work—up from 27% in 2023—and 85% of those users engaging daily or weekly according to the 2025 ABA Legal Industry Report, the difference between mediocre and exceptional AI results often comes down to how you craft your prompts. The CRIT framework provides a repeatable system that 99% of AI users never discover. For law firms looking to integrate AI into their practice—whether for mastering AI prompts for legal work, streamlining client intake, or developing … Learn More
Cadence Makes Your Law Firm a “Known Entity” for AI Search
📑 The Entity Recognition Advantage Publishing Frequency: The Numbers That Matter Multi-Platform Content Strategy Building Thought Leadership for AI Visibility How AI Platforms Recognize Known Entities Implementation Framework Frequently Asked Questions Law firms that publish content consistently across multiple platforms don’t just build audiences—they become recognized entities in the eyes of both Google’s Knowledge Graph and AI search platforms. Businesses that publish 16+ blog posts per month generate 4.5x more leads than those publishing sporadically, and this publishing advantage extends far beyond traditional SEO in 2025. Look at thought leaders in legal marketing like Jay Berkowitz at Ten Golden Rules or organizations like PILMMA. Their consistent presence across YouTube, LinkedIn, Facebook, and podcasts hasn’t just built audiences—it’s established them as known entities that AI platforms recognize and recommend. This topical authority directly translates to visibility when potential clients ask AI assistants for attorney recommendations. This guide breaks down the science behind entity recognition, the optimal publishing cadence for AI visibility, and a … Learn More
AI Platform Citation Patterns: What Law Firms Must Know About ChatGPT, Google AI, and Perplexity
📑 Key Findings from 680 Million AI Citations ChatGPT Citation Patterns: Wikipedia Dominance Google AI Overviews: Balanced Social-Professional Mix Perplexity AI: Community-Driven Information Strategic Implications for Law Firm Marketing Domain Authority: What TLDs Get Cited Most Platform-Specific Action Plan for Law Firms Frequently Asked Questions If you’ve been optimizing your law firm’s website the same way for ChatGPT, Google AI Overviews, and Perplexity, you’re likely wasting significant effort. New research from analytics platform Profound, analyzing 680 million AI citations from August 2024 to June 2025, reveals that each major AI platform sources information in fundamentally different ways. This isn’t just academic curiosity—it’s a critical strategic insight for law firms investing in Generative Engine Optimization (GEO). Understanding which sources each AI platform trusts determines whether potential clients find your firm when asking AI assistants questions like “Who are the best personal injury lawyers near me?” or “What should I look for in a divorce attorney?” The implications are significant. ChatGPT heavily favors Wikipedia and traditional news sources … Learn More