# Dejan Ai Reverse Engineering > Use for AI search reverse engineering, DEJAN or Dan Petrovic research, technical SEO reverse engineering, SRO, selection rate, grounding snippets, citation mining, Google AI Mode, Gemini, AI Overviews, machine-readable content extraction, and tasks where DEJAN-style analysis should guide the workflow. This skill loads a compact local knowledge pack distilled from recent dejan.ai research and appl… - **Type:** Skill - **Install:** `agentstack add skill-vijaychauhanseo-seo-skills-pack-dejan-ai-reverse-engineering` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [vijaychauhanseo](https://agentstack.voostack.com/s/vijaychauhanseo) - **Installs:** 0 - **Category:** [Search](https://agentstack.voostack.com/c/search) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [vijaychauhanseo](https://github.com/vijaychauhanseo) - **Source:** https://github.com/vijaychauhanseo/seo-skills-pack/tree/main/skills/dejan-ai-reverse-engineering ## Install ```sh agentstack add skill-vijaychauhanseo-seo-skills-pack-dejan-ai-reverse-engineering ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # DEJAN AI Reverse Engineering ## Overview Use this skill for DEJAN-style AI SEO and search-system reverse engineering. It gives a compact working model of Dan Petrovic's recent ideas around grounding, selection, machine readability, entity bias, and model-aware visibility. ## When To Use - The user mentions `dejan.ai`, Dan Petrovic, DEJAN, SRO, AI Rank, Tree Walker, grounding snippets, or selection rate. - You need DEJAN-style framing for Google AI Mode, Gemini grounding, AI Overviews, citation mining, or brand-association analysis. - The task is generally about reverse engineering AI search, grounding, snippet extraction, or answer construction even if DEJAN is not mentioned by name. - You want a local snapshot of recent DEJAN articles without re-reading the full archive. ## Workflow 1. Read [references/dejan-ai-notes.md](references/dejan-ai-notes.md) first for the core models, recent studies, and default heuristics. 2. Read [references/dejan-ai-archive-2025-2026.md](references/dejan-ai-archive-2025-2026.md) when you need article lookup, dates, or a quick timeline. 3. Read [references/dejan-models-and-systems.md](references/dejan-models-and-systems.md) when the task touches AI Mode internals, browser embeddings, classifiers, fan-out models, or DEJAN's build patterns. 4. Read [references/dejan-legacy-technical-seo.md](references/dejan-legacy-technical-seo.md) when the task needs older DEJAN technical SEO heuristics from the pre-AI era. 5. Read [references/reverse-engineering-checklist.md](references/reverse-engineering-checklist.md) when the task is operational and you need a step-by-step diagnostic workflow. 6. Separate sourced DEJAN claims from your own inference. Cite article title and date when leaning on a DEJAN-specific concept. 7. Treat older DEJAN material as historically useful heuristics, not automatic truths. Verify time-sensitive claims against current systems. 8. If the task is time-sensitive or you need newer material, browse `dejan.ai` again. This pack is a snapshot captured on 2026-03-20. ## Operating Lens - Ranking is necessary but not sufficient. Ask what sentence or claim survives into grounding. - Track `selection rate`, not just clicks or rankings. - Assume grounding budgets are limited and transient. Prioritize clear, self-contained statements near the top of the page. - Treat model output as a mix of latent bias and retrieved evidence, not retrieval alone. - Optimize for machine readability: distilled main content, clean blocks, explicit claims, and tool-friendly structure. - Expect hidden fan-out or implicit sub-queries behind a visible prompt. - For brand work, inspect associations and uncertainty, not just exact-match mentions. - For reverse engineering, prefer artifacts over theory: snippets, chunks, citation positions, prompt variants, and source-page diffs. ## Core DEJAN Concepts - `SRO` = Selection Rate Optimization, DEJAN's AI-native successor to CTR. - `Selection Rate` = frequency with which a grounded candidate is chosen into the answer. - `Primary bias` = the model's latent relevance perception before grounding effects are applied. - `Grounding snippets/chunks` = the small text units actually supplied to the model. - `Transient grounding` = a grounded passage may shape the answer without becoming durable model memory. - `LLM as presentation layer` = retrieval and ranking still sit underneath the model layer. - `Association networks` and `Tree Walker` = probes for brand adjacency, token confidence, and model worldview. ## References - [references/dejan-ai-notes.md](references/dejan-ai-notes.md) - [references/dejan-ai-archive-2025-2026.md](references/dejan-ai-archive-2025-2026.md) - [references/dejan-models-and-systems.md](references/dejan-models-and-systems.md) - [references/dejan-legacy-technical-seo.md](references/dejan-legacy-technical-seo.md) - [references/reverse-engineering-checklist.md](references/reverse-engineering-checklist.md) ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [vijaychauhanseo](https://github.com/vijaychauhanseo) - **Source:** [vijaychauhanseo/seo-skills-pack](https://github.com/vijaychauhanseo/seo-skills-pack) - **License:** MIT Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-vijaychauhanseo-seo-skills-pack-dejan-ai-reverse-engineering - Seller: https://agentstack.voostack.com/s/vijaychauhanseo - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.