The REVEAL Framework™

SEO and AI Discovery operate on completely different principles. SEO optimizes for ranking in Google's link-based search results—you compete for position #1-10. AI Discovery optimizes for being synthesized and recommended in conversational responses—AI platforms extract information from your content and recommend you directly to users without showing competing links. The technical requirements are different: AI platforms need schema markup they can parse (not just meta tags), semantic HTML for content comprehension, and API-ready architecture for future integrations. Content strategy is different: AI platforms favor comprehensive educational guides (2,000+ words) over keyword-optimized pages, problem-solution frameworks over promotional content, and authoritative evidence over ranking signals. Measurement is different: tracking zero-click brand mentions and attribution, not click-through rates and bounce rates. Companies applying SEO tactics to AI optimization see 10-15% of the results because the platforms operate on fundamentally different algorithms. The REVEAL Framework was built specifically for how AI platforms discover, evaluate, and recommend brands—not adapted from SEO best practices.

VELOCITY (content production) takes the longest because it's ongoing—not a one-time task. ENGINEER (technical foundation) takes 2-4 weeks. EXPAND (authority building) takes 2-3 months to show impact. But VELOCITY runs continuously: 40-150 pieces monthly depending on your service tier. The reason: AI platforms need volume of high-quality content to confidently recommend you. If you have 10 product guides and your competitor has 200, AI platforms cite them 15-20x more frequently even if your content quality is superior. Volume creates comprehensiveness, comprehensiveness creates authority, authority creates citations.

No—skipping stages undermines the entire system. Companies that skip ENGINEER (technical foundation) and jump to VELOCITY (content) see 70% lower citation rates because AI platforms can't parse their content properly. Companies that skip RECOGNIZE (baseline assessment) can't prove ROI because they never measured their starting position. The REVEAL Framework is systematic for a reason: each stage builds on the previous one. ENGINEER creates the infrastructure VELOCITY needs. VELOCITY creates the content EXPAND amplifies. EXPAND creates the authority ASSESS measures. Think of it like building a house—you can't skip the foundation and expect walls to stand. That said, stages do overlap: ENGINEER and VELOCITY can run partially in parallel (Month 2), and EXPAND begins while VELOCITY is ongoing. But sequencing matters.

ENGINEER implements the technical infrastructure AI platforms need to discover, understand, and cite your content. Specifically: Schema Markup (Week 1-2): We add special code to your website that tells AI platforms exactly what your content is—like adding clear labels to products on a store shelf. Technically, we implement JSON-LD structured data: Product schema for e-commerce, SoftwareApplication schema for SaaS, Hotel/LodgingBusiness schema for travel. Semantic HTML Optimization (Week 2-3): We restructure your HTML to use semantic tags that describe what content is, not just how it looks—proper heading hierarchy, article/section structure. AI platforms parse semantic HTML 40-60% more accurately than generic layouts. Platform-Specific Configuration (Week 3): We configure robots.txt to allow AI crawler access (GPTBot, PerplexityBot, ClaudeBot), create AI-optimized sitemaps, implement tracking systems. A typical ENGINEER stage implementation involves 80-120 hours of technical work.

Each stage has specific, measurable outcomes. RECOGNIZE: Baseline visibility report (you appear in X of 30 target queries), competitive positioning matrix, opportunity identification. ENGINEER: Technical implementation complete (schema validation 100%, semantic HTML score improved), tracking operational. VELOCITY: Content production sustained (40-150 pieces monthly), content indexed by AI platforms (60%+ within 60 days), query coverage expansion. EXPAND: Authority signals growing (third-party mentions up 200%, review improvements), ecosystem developed. ASSESS: Performance tracking operational, revenue attribution working, ROI proven. LEAD: Platform adaptation successful (algorithm changes responded to within 48-72 hours), emerging channels tested, competitive advantage maintained.

The REVEAL Framework methodology is universal—the six stages work for any industry. But we focus exclusively on e-commerce, SaaS, and travel because these high-consideration purchase categories benefit most from AI Discovery optimization and because our cross-vertical expertise creates competitive advantages single-industry agencies can't match. If you're in these verticals or closely related (hospitality, business software, product retail), AI Discovery is highly effective because your customers research extensively before buying and that research is moving to AI platforms rapidly. If you're outside these verticals—B2C services, local businesses, B2B manufacturing, low-consideration purchases—we're likely not the best fit, and we'll tell you that honestly on a discovery call.

We monitor major platforms (ChatGPT, Perplexity, Claude, Google AI, Gemini) weekly through systematic testing: run 50 standardized queries, analyze citation pattern changes, document algorithm behavior shifts, test new features within 48-72 hours of launch. When platforms update algorithms (ChatGPT updates weekly, Perplexity monthly), we test implications across all client accounts within 3-5 business days and adapt optimization accordingly. This is LEAD stage in action: continuous platform monitoring, rapid adaptation, proactive optimization. Your competitors using agencies that adapt quarterly (not weekly) fall 3-6 months behind algorithm changes. That gap compounds over time.

No—the REVEAL Framework works because it's systematic and stages build on each other. Hiring us for VELOCITY (content) without ENGINEER (technical foundation) produces poor results because AI platforms can't parse content properly. Hiring for ASSESS (measurement) without RECOGNIZE (baseline) means you can't prove improvement. That said, our service tiers offer different execution models: Strategy & Roadmap ($8K): We complete RECOGNIZE and provide roadmap for all stages—you implement ENGINEER, VELOCITY, EXPAND yourself with our guidance. We support ASSESS and LEAD through monthly sessions. Managed Implementation ($15K): We execute all 6 stages completely. Category Leadership ($25K): We execute all 6 stages at premium velocity with advanced future-state preparation.

Most AI optimization agencies are SEO firms adding "ChatGPT optimization" to their service list. They apply SEO tactics to AI platforms and wonder why results are minimal. REVEAL Framework is built specifically for AI Discovery from the ground up. Key differences: Infrastructure—We start with ENGINEER (technical foundation AI needs) before content. Most agencies skip this and jump to content production, so their content gets 30-50% the citations because AI can't parse it properly. Measurement—Our ASSESS stage tracks zero-click attribution (60% of AI impact happens without clicks). Most agencies only track direct traffic, missing majority of business impact. Future-State—Our LEAD stage prepares for voice commerce, AI agents, visual search. Most agencies optimize only for today's text-based ChatGPT, leaving clients unprepared for multi-modal AI commerce. Cross-Vertical—We work across e-commerce, SaaS, and travel. What works in SaaS often applies to e-commerce—insights single-industry agencies can't provide.