Entity architecture, distributed networks, crawl verification, and AI-ready content. Consulting and execution by Novel Cognition.
Each service addresses a specific layer of the Agentic SEO stack. Most clients begin with the Entity Authority Audit and expand from there.
We analyze your current schema markup, sameAs coverage, and knowledge graph presence. We identify gaps in your AI citation readiness — the structured data that determines whether ChatGPT, Gemini, and Perplexity can find and cite you.
The audit covers Person and Organization schema validation, cross-platform sameAs consistency, knowledge panel eligibility, and AI citation testing across multiple LLM platforms.
Read the Entity Authority methodology →We design and deploy cross-domain entity architecture — the Distributed Authority Network (DAN). This includes schema implementation across every node, strategic internal and cross-domain linking, per-page footer variation to avoid template detection, and coordinated crawl triggers across the network.
A DAN isn't a PBN. It's a legitimate, content-rich network of branded properties with consistent entity schema and deliberate structural variation. Every node reinforces every other node.
Read the DAN architecture guide →We deploy Project Frontier — a closed-loop crawl verification system using tracking pixels, reverse DNS validation, Cloudflare Workers, and multi-layer indexing confirmation. You stop hoping Google found your content and start knowing.
The system includes pixel deployment across all network nodes, Googlebot IP verification via reverse DNS, feed-based crawl trigger monitoring, and a 4-layer verification protocol developed through real-world experimentation.
Read the Closed-Loop Verification guide →We structure your content for retrieval-augmented generation (RAG) — the mechanism AI systems use to find, evaluate, and cite source material. This includes document distribution to high-authority platforms (GitHub DA 95, Google Docs), strategic formatting for LLM consumption, and burstiness/perplexity optimization.
Your content isn't just for human readers anymore. It needs to be machine-parseable, citation-ready, and distributed across platforms that AI training pipelines ingest.
Read the RAG Fundamentals guide → | RAG Glossary →CLE-style presentations, workshops, and the full 23-part AI Practitioner Series. Guerin Green presented on Generative AI at Denver's Alfred A. Arraj Federal Courthouse for the Faculty of Federal Advocates — a 2-CLE-credit program alongside Holland & Hart's Director of Innovation.
Training engagements range from single-session executive briefings to multi-week implementation workshops. The AI Practitioner Series on GitHub serves as the curriculum foundation — 23 interlinked technical documents covering the full Agentic SEO methodology.
We audit your current search presence, schema implementation, and AI citation readiness. We identify the specific gaps between where you are and where the methodology can take you.
We design the entity graph, network topology, and verification system. Every domain, every schema block, every cross-link is planned before deployment begins.
We build with autonomous AI agents — the same methodology we teach. Then we verify. Tracking pixels confirm crawl activity. Closed-loop data confirms indexing. Data, not faith.
Join the Burstiness & Perplexity community to access the full methodology, DAN templates, verification playbooks, and weekly strategy calls with practitioners.
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