Knowledge System

AI SEO Compendium

Name: AI SEO Compendium
Brand: agenticonsult
Price: 9 EUR
Availability: PreOrder

The playbook for AI-era search: classic SEO, GEO, and the agent driven pipeline to run it. One knowledge system in two parts: your AI agent holds the doctrine and does the work; you direct and approve the one gate that matters.

What's included

The AI SEO Compendium: the agent-facing context engine, 15 sections of knowledge-as-code your AI executes from

The Operator's Manual (PDF + markdown): principles, mental models & copyable prompt blueprints in every chapter

Classic SEO + GEO in one doctrine: rank in Google *and* get cited inside AI answers (the two-job mandate)

The agent driven pipeline, fully specified: research → draft → the single HITL trust-gate → publish → the decay-refresh loop, ready to build on Claude Code + MCP

The priced minimum-viable stack & build-ready artifacts: JSON-LD skeletons, the compliant reviews engine, the four-layer KPI framework

Works with your agent harness: Claude Code, Codex, Hermes Agent, OpenClaw or any comparable system

€9

One-time purchase · instant download · PDF + markdown + agent-facing set

In accordance with § 19 UStG, no VAT is charged.

AI SEO Compendium: the agent-facing context engine (15 sections)
The Operator's Manual: PDF + markdown, prompt blueprints in every chapter
Classic SEO · GEO/AEO · technical · local · links · measurement · governance, all in one doctrine

Get notified at launch

No charge, no account needed

Everything you build with it is entirely yours
Single-buyer license: use and adapt for your business without limits
Nothing to buy from us: the stack runs on free + usage-based services you already control

AI SEO Compendium: Summer 2026 Edition (cover)

Agent driven AI-SEO

You + your agent

point it atYour site & niche

Agent driven SEO pipeline

Stage 1 · Research

Read intent off the live SERP

Keyword + entity gap map

Stage 2 · Create

Brief in the GEO citation levers

Draft on-voice → mechanical QA

Stage 3 · Ship & compound

Your HITL trust-gate → publish

Measure · decay → refresh loop

Ranked & cited

Ranked in Google · cited in AI answers

the system this book builds

The discipline, already mastered

The compendium teaches your AI agent to do every job AI-era search demands, each mechanism distilled, corrected against the louder popular myth, and ready to run:

Classic SEO doctrine

Reading intent off the live SERP, the Keyword Sweet Spot, money-pages-first sequencing, pillar/cluster topical authority, and the modern on-page checklist: the 20-year-durable spine.

GEO / AEO / LLM citation

The five-stage answer-engine retrieval pipeline, the empirically proven Princeton citation levers, passage-level optimization, and the mentions-beat-backlinks bet.

The human moat

Why unedited AI content collapses, the 5×-better bar, and the voice-reference-file system that keeps every draft on-brand: the layer AI cannot fabricate.

Technical SEO & schema

Core Web Vitals, the rendering / client-side-render trap, per-bot crawler control, IndexNow, and build-ready JSON-LD for Google + AI.

Local SEO & GBP

The corrected map-pack weighting and the compliant reviews engine, the legal alternative to the review gate everyone copies.

Measurement & governance

The four-layer KPI framework, the AI-referral attribution gap and how to triangulate it, and the compliance / legal fences (FTC, EU AI Act).

This depth is the product. The compendium distills thousands of hours of courses, build logs, Google's own policy and rater documents, and peer-reviewed research into one reference your AI agent executes from directly. Corrections to the louder popular consensus come included, each shown with its evidence and graded causal-vs-correlational, every figure dated so it stays usable as the field churns. You do not assemble a strategy from scattered threads and dated blog posts: the doctrine, the run-sheets, the JSON-LD, and the priced minimum-viable stack ship finished. Search has bifurcated; the traffic is intact while the clicks leak to zero-click answers. This is the system that does both jobs at once: rank in Google, and get cited inside the AI answer. Minimal input, maximum output.

Details

Knowledge-as-code

The agent-facing context engine

15-section agent-facing set · the AI executes directly from it

Every mechanism build-ready: the keyword & cluster doctrine, the proven GEO citation levers, the JSON-LD skeletons, the compliant local & reviews engine
Single-owner routing: every concept has one canonical home, so the AI answers from the owner and never averages the louder popular consensus
Dense, voice-neutral, re-runnable: the half your AI consumes to do the work; positions are shown with their evidence and graded causal-vs-correlational

The human-facing direction

The Operator's Manual

PDF + markdown · principles, mental models & copyable prompt blueprints

How to DIRECT the system: what each chapter equips you to ask your agent for, and where the one human gate sits
Copyable prompt blueprints in every chapter: productive from the first paste, before you have learned anything by heart
Reframed from the agent-facing detail for the operator who directs the AI, not for the AI itself

How the parts work together

Both components follow one architecture: you direct and approve from the top; the knowledge and the machinery work below you. The Operator's Manual teaches you to direct, and its prompt blueprints make the first paste productive before you have learned anything by heart. The agent-facing context engine gives your AI the full domain mass: every mechanism build-ready, every figure dated, every popular myth corrected with its evidence. Your agent runs the work: reading intent off the live SERP, drafting on-voice, engineering the GEO citation levers, the mechanical QA. You hold the one gate that matters: the human trust-gate at publish.

The two halves cross-reference each other deliberately: the manual covers how to direct, the context engine covers the craft, and your agent routes between them by task. The compendium does not just describe the agent driven SEO pipeline; it specifies it, end to end, ready to stand up on the agent harness you already run.

Who this is for

Operators, founders, agencies, and small teams who run (or want to run) an AI agent harness, whether Claude Code, Codex, Hermes Agent, OpenClaw, or any comparable system, and need to win search in the AI era: rank in Google and get cited inside AI answers. No prior SEO expertise is required. The doctrine ships in the agent-facing base, and the manual's blueprints carry you until the principles settle. If you have ever bought an SEO course, this is the compendium that replaces the shelf of them, and the system that runs the work for you.

What you need

Your own AI agent harness (Claude Code, Codex, Hermes Agent, OpenClaw, or any comparable system), and nothing to buy from us. The compendium is two reading components (a PDF + markdown Operator's Manual and the agent-facing markdown set); your agent reads the agent-facing set and works from it directly. The agent driven pipeline it teaches you to build runs on a deliberately lean stack: a free first-party data source (Search Console), one usage-based raw-data source, your harness for orchestration, and exactly one AI-visibility tracker. Every named tool is a current instance of a durable capability slot, priced and flagged so you re-verify before committing. No subscription to us, no lock-in.

License

Single-buyer license: use and adapt for your own business without limits; reselling the materials themselves is not permitted. Everything you build with it is entirely yours.

License: Single-buyer license · everything you build with it is entirely yours

€9