ethan-smith-aeo-answer-engine-optimization

Answer Engine Optimization — RAG citation mechanics, experimental methodology, AEO strategy architecture

Repository: Farrice/mes-knowledge-base
Last source activity: July 18, 2026 at 05:54
Detected SKILL.md language: English
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Forks: 1

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SKILL.md

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generate

The /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.

2026-08-06

video-studio

The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).

2026-08-06

brad-bonanno-explainer-video-architecture

Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.

2026-08-06

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Ethan Smith — AEO (Answer Engine Optimization)

Core Thesis: AEO is not a new channel — it's a summarization layer on top of search. The game shifted from winning a single blue link to maximizing citation frequency across the RAG retrieval corpus. Traditional SEO compounds into AEO; it doesn't reset.

Available Workflows

Workflow

Produces

Use When

aeo

AEO Strategic Visibility Audit

A comprehensive AEO Roadmap including a longtail question database, citation gap analysis, and current share-of-voice benchmarks.

You need to establish a baseline for AI engine visibility and identify the highest-value opportunities for citation growth.

aeo

AEO Content Weaponization Plan

An execution-ready content plan featuring information-gain audits, help center optimization tasks, and a Reddit-specific citation strategy.

You have existing content or support assets and need to optimize them to become the primary citation source for RAG-based answer engines.

aeo

AEO Experimental Validation Framework

A rigorous AEO Experiment Design document and a filtered analysis of industry claims to ensure data-driven decision making.

You are evaluating new AEO tactics or need to prove the ROI of AEO efforts through controlled, reproducible testing.

Quick Reference

Genius Context: genius.md — load before any workflow

Legacy Prompts: references/_legacy-prompts/ — archived atomic prompts

Execution Prompts (structure-pure v2)

9 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.

Brand AEO Visibility Teardown → Client-Attraction Case Study — skills/ethan-smith-aeo/references/prompts-v2/aeo-brand-teardown-case-study.md

AEO Experiment Designer — skills/ethan-smith-aeo/references/prompts-v2/aeo-experiment-designer.md

AEO Misinformation Filter — skills/ethan-smith-aeo/references/prompts-v2/aeo-misinformation-filter.md

AEO Question Research Pipeline — skills/ethan-smith-aeo/references/prompts-v2/aeo-question-research.md

Citation Landscape Mapper — skills/ethan-smith-aeo/references/prompts-v2/citation-landscape-mapper.md

Content Information Gain Audit — skills/ethan-smith-aeo/references/prompts-v2/content-information-gain-audit.md

Help Center Weaponizer — skills/ethan-smith-aeo/references/prompts-v2/help-center-weaponizer.md

Reddit Citation Strategy — skills/ethan-smith-aeo/references/prompts-v2/reddit-citation-strategy.md

Share of Voice Tracker — skills/ethan-smith-aeo/references/prompts-v2/share-of-voice-tracker.md