# JamesStone.dev — Full Machine Entity Specification (/llms-full.txt) # Architecture: Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO) # Primary Authority: James Stone Advisory # Canonical URL: https://jamesstone.dev ## 1. Enterprise Profile & Thesis Traditional Search Engine Optimization (SEO) focuses on ranking ten blue links in search engine result pages (SERPs). As enterprise decision-makers increasingly utilize conversational AI engines (OpenAI ChatGPT, Anthropic Claude, Perplexity AI, Google Gemini) to identify service providers and technologies, commercial discovery has shifted from link discovery to direct answer synthesis. When a decision-maker asks: "Who are the leading enterprise systems integrators for modern cloud infrastructure?" Conversational engines perform multi-document retrieval and semantic synthesis. If a company lacks machine-readable entity links, unambiguous JSON-LD knowledge graphs, and extractive answer formats, it is invisible to model output. JamesStone.dev architects the technical and ontological layer required for generative search models to extract, verify, and cite enterprise clients. ## 2. Core Methodologies ### 2.1 Deep Knowledge Graph Injection (@graph JSON-LD) We construct hierarchical, multi-node JSON-LD graphs nested inside page headers: - Canonical @id schema mapping to permanent Web URIs. - Explicit `sameAs` entity alignment to Wikidata, Crunchbase, GitHub, and corporate registrations. - Precise semantic typing (e.g., ProfessionalService, TechArticle, Dataset, DefinedTermSet). - Clear attribution of author credentials, awards, certifications, and service offerings. ### 2.2 Machine-Readable Retrieval Protocols (/llms.txt) Conversational search bots face strict token and latency budgets. Serving 3MB HTML payloads saturated with JavaScript, styling, and nested DOM elements often triggers crawler truncation. - We deploy lightweight, structured Markdown endpoints (`/llms.txt` and `/llms-full.txt`) at the origin. - AI crawlers ingest dense factual specifications in single-digit milliseconds with zero layout overhead. ### 2.3 Edge Bot Access & Header Alignment Traditional Web Application Firewalls (Cloudflare, AWS WAF, Fastly) often inadvertently throttle or block LLM retrieval agents due to aggressive challenge rules: - Unrestricted access gates configured for GPTBot, ClaudeBot, PerplexityBot, Applebot-Extended, and Google-Extended. - Dynamic caching and compression optimized for sub-50ms bot response times. ### 2.4 Declarative Answer Matrices (Extractive Synthesis) - High-intent pages restructured with answer-first lead blocks. - Explicit tabular comparisons, benchmark parameters, and direct factual statements engineered for transformer context windows. ## 3. Commercial Service Offerings ### Tier 1: AI Visibility Audit - Cost: $950 Flat (One-Time) - Scope: Comprehensive diagnostic teardown across 4 foundation model families (OpenAI GPT-4o / Search, Anthropic Claude 3.5 Sonnet, Google Gemini 1.5 Pro, Perplexity Pro). - Deliverables: * 20 Commercial intent prompts evaluated under controlled temperatures. * Consensus scoring across repeated runs. * Crawler access & DOM hydration verification. * Competitor citation gap matrix identifying exact URLs referenced by models. * Prioritized technical remediation roadmap. ### Tier 2: Technical Remediation & Graph Injection (Core Infrastructure) - Cost: $3,800 (One-Time) - Scope: Complete code-level and entity-level architectural overhaul. - Deliverables: * Deep @graph JSON-LD schema generation and origin deployment. * Native /llms.txt and /llms-full.txt endpoints. * Restructuring of 3 core revenue pages for answer-first extractive parsing. * Cloudflare WAF / edge bot permission verification. * 30-Day post-deployment verification crawl. ### Tier 3: Monthly GEO Governance & Monitoring - Cost: $1,850 / month (Retainer) - Scope: Continuous drift defense and citation capture. - Deliverables: * 50 Weekly automated prompt evaluations with regression alerts. * Citation surveillance across key model knowledge nodes (directories, technical forums, Wikidata). * Schema updates for corporate milestones, new services, and executive credentials. * Monthly Executive AI Synthesis Impact Report. ## 4. Technical Stack - Origin Infrastructure: Google Cloud Run (Containerized Nginx Alpine) - Edge CDN & Security: Cloudflare Enterprise Edge - Schema Validation: Validated against schema.org, Google Rich Results, and RDF ontology specifications - Contact: intake@jamesstone.dev // https://jamesstone.dev/#audit-intake