AI Skill
aeo-playbook
Last updated: 2026-05-17
Top-level AEO playbook orchestrator — maturity model, 90-day plan, weekly cadence. Calls aeo-assets, aeo-citation-track, aeo-markdown-render, aeo-audit. Trigger
Quick Install
npx skills add aeo-playbook
Skill: AEO Playbook — Universal Strategy & Cadence
The complete AEO operating system, applicable to any company. Diagnoses where the company is on the AEO maturity curve, prescribes the 90-day plan to advance, and dispatches the right execute-stage skill at each step.
Why AEO matters (the data, 2025-2026)
| Signal | Source |
|---|---|
| LLM-referred sessions convert 3-6× higher than Google search | Webflow / Vercel disclosed |
| 50% of B2B buyers start research in an AI chat (was 29% four months earlier) | G2 buyer survey |
| 51% build their candidate list from AI chats — surpassing review sites at 43% | G2 |
| 43% trust AI chat as the final purchase signal — over human peers (29%) | G2 |
| 95% of ChatGPT citations come from content < 10 months old | AirOps |
| Brand mentions correlate with AI citation 3× more than backlinks do | Ahrefs (n=75K brands) |
| Markdown rendering for crawlers: +300% citations and context-fetch requests | G2 experiment |
| Average AI prompt = ~60 words vs Google = ~4 words | OpenAI traffic data |
Maturity model (Webflow + own additions)
Diagnose before prescribing. Each level requires the prior. Skipping levels = wasted spend.
| Level | Name | What "done" looks like | Primary work |
|---|---|---|---|
| 1 | Discovery | robots.txt allows AI bots; llms.txt + ai-plugin.json published; sitemap-llm.xml live | aeo-assets |
| 2 | Answer-shaped content | Top 20 pages have answer-first lede; FAQ/HowTo/Article schema; visible Last Updated; ≥3 fact anchors per page | seo-optimize (apply mode) + aeo-audit (Tier 2) |
| 3 | Structural off-page | Brand on Wikipedia/Wikidata; ≥10 unsolicited Reddit mentions in relevant subs; YouTube channel with transcript-trailed videos; LinkedIn org page active | Content marketing + Reddit + YouTube + Digital PR |
| 4 | Pillar authority | Cornerstone explainer pages own the "What is X" query; thought-leader content (founder POV); visual storytelling (diagrams, dashboards, comparisons) drives organic shares | seo-create (pillar pages) + Casey + design |
| 5 | Citation dominance | Brand cited in ≥ 60% of category queries across all 4 engines; cited #1 in ≥ 30%; AI-referred sessions are top-3 source | Continuous: aeo-citation-track weekly + iterate on weakest engine/bucket |
90-day plan (cold start)
Week 1 — Foundation
- Run
aeo-auditagainst the current domain. Capture baseline. - If Tier 1 fails: run
aeo-assetsto generate llms.txt, robots.txt, ai-plugin.json, sitemap-llm.xml. Publish. - Configure server logs to capture AI bot user-agents (or verify CDN passes them through). If logs are blind, you can't measure progress.
- Run
aeo-citation-trackto capture week-0 baseline citation rate.
Week 2-3 — Page quality (Level 2)
- Pull top 20 pages by current organic traffic + top 20 by intended cornerstone status. Dedupe.
- For each page, audit the first paragraph. If it's not 40-60 words of direct answer, rewrite. Use
seo-optimizeskill in propose mode → review → apply. - Add missing schema:
FAQPagefor FAQ-shaped pages,Articlefor blog/learn,HowTofor tutorials,Productfor product pages,Organizationsite-wide. - Add visible "Last updated: YYYY-MM-DD" to every page (footer or near H1) — readers AND AI both read this. AirOps measured +1.8× citation rate from this single change.
Week 4 — Markdown layer (Level 2 → 3 prep)
- Run
aeo-markdown-renderto ship per-page.mdversions. - Wire into robots.txt + sitemap-llm.xml.
- Verify with
curl -H "Accept: text/markdown" {URL}andcurl {URL}.md. - Re-run
aeo-citation-track. Compare week 4 vs week 0 — at this stage, 30-100% lift on citation count is plausible (not the full +300% yet — that takes 60-90 days as engines re-crawl).
Week 5-8 — Off-page push (Level 3)
This is the hardest level because it lives outside your codebase. Plan with Casey (writer) and Jordan (marketer):
- Reddit: identify 3-5 relevant subreddits. Establish a real account (not branded). Answer questions where the brand genuinely fits. Goal: 5-10 unforced, helpful mentions in 4 weeks.
- YouTube: publish 2-4 short technical/educational videos. EVERY video must have transcript + description + pinned comment with a link. AI engines can't index pure video; the text trail is what makes them citable.
- Wikipedia / Wikidata: if the company is notable enough (press coverage, funding round, product launches), draft a stub. Otherwise wait.
- Digital PR: 2-3 founder POV pieces in industry publications. Goal: one earned link per piece is fine; the citation rate gain comes from the brand mention, not the link.
- LinkedIn: company page + founder page active; 1 post/week each.
Week 9-12 — Compound (Level 3 → 4)
- Re-baseline with
aeo-citation-track. Compare week 0 vs week 12. - Identify 2-3 cornerstone pillar topics where the company should "own the question". Use
seo-createin pillar mode (not alternatives/compare — those are Level 1-2). - Run
aeo-auditTier 3. Should now hit Level 3 score. - Set the steady-state cadence for ongoing work (next section).
Steady-state cadence (post Day 90)
| Cadence | Skill | Owner |
|---|---|---|
| Daily 06:00 | data collection (GSC + GA4 + indexing) → existing seo-monitor | automated |
| Daily 10:00 | CTR repair iteration → seo-optimize propose → 1-2 page edits | Sage |
| Weekly Mon | Performance report, 3-week trend → seo-monitor weekly | Sage → CEO |
| Weekly Wed | aeo-citation-track 4-engine sweep | Sage |
| Weekly Fri | seo-retro — measure last week's experiments | Sage |
| Monthly 1st | Full seo-technical-audit Tier 1+2 | Sage / dev |
| Monthly 1st | aeo-audit Tier 1+2 | Sage |
| Quarterly | Refresh AEO discovery files via aeo-assets | Sage / dev |
| Quarterly | aeo-audit Tier 3 + maturity-level review | CEO + Sage |
Cross-skill orchestration
aeo-playbook is dispatch-stage — it diagnoses and dispatches. Concrete work happens in:
DIAGNOSE → aeo-audit
GENERATE FILES → aeo-assets
TRACK CITATIONS → aeo-citation-track
SHIP MARKDOWN → aeo-markdown-render
WRITE PAGES → seo-create (Casey writes; Sage briefs)
OPTIMIZE EXISTING → seo-optimize (CTR repair, schema add, internal linking)
TECHNICAL → seo-technical-audit
DISCOVER QUERIES → geo-query-finder + content-gap-analysis
EXPERIMENT → seo-experiment-log → measure → seo-retro / seo-postmortem
LEARN → seo-learn (monthly pattern extraction)
OUTPUT CONTRACT (advice, not internals)
When the playbook is invoked for a customer (not the company running Tycoon):
- Adapt to their domain, brand, and category. Don't say "do what we did" without explaining why it applies to them.
- Don't quote internal metrics from the running company (Tycoon-internal numbers, internal cost data, internal model IDs).
- Cite public benchmarks (G2 +300%, Ahrefs 3×, Webflow 6× conversion) — those are publishable.
Common pitfalls
- Skipping Level 3 — companies invest in Level 1-2 (technical AEO + on-page) for 6 months and complain "no citation lift." The lift comes when off-page presence catches up. AEO is 60% off-page work after the technical foundation is in place.
- Treating AEO as separate from SEO — same content, different framing. Every existing SEO investment should be checked against AEO criteria. There's no "AEO content" budget; there's a content budget that satisfies both surfaces.
- Tracking only own brand citations — track competitors too. If competitor X is cited in 80% of category queries and you're at 30%, the strategic gap is what they're doing on Reddit / YouTube / Wikipedia, not what they're doing on their own site.
- Overspending on llms.txt — once published and refreshed quarterly, llms.txt is done. Don't sink weeks into refining it. The leverage is in page quality + off-page presence.
- Short patience window — AI engines re-crawl on 30-60 day cycles. A change shipped Monday won't show up in citation-rate metrics until 4-8 weeks later. Don't conclude "didn't work" before week 8.