Win AI citations, recover rankings

SEO/GEO specialist / content lead / growth lead / founder · Assemble in ~10 min; first citation-ready brief in <5 min; full page rewrite + schema in <15 min per URL.

GTMEdit flowon X◆ new (unverified) 91

step 1connector

Identify citation-gap prompts

⚡ AI-search rank tracker (Profound / Peec)

step 2ready

Baseline citation-readiness audit

aeo-audit28 alts

step 3ready

Map page-type fit + content drift

seo-geo28 alts

step 4ready

Generate citation-ready briefs

ai-seo28 alts

step 5ready

Write or rewrite pages for citation

geo-content-optimizer28 alts

step 6ready

Add on-page SEO + structured data fixes

seo-aeo-amplifier29 alts

step 7partial

Track LLM citation rates over time

seo-profound15 alts

Did this recipe work for you?

What you get

▸Prompt gap list with competitor citation map (which AI engines cite whom, for which queries)
▸AEO audit report: per-URL scores across 16 citation-readiness factors
▸Citation-ready page drafts: definition leads, FAQ schema (JSON-LD), structured quotables, passage-extractable H2s
▸Citation tracking baseline: target prompts + current citation rate, ready for monthly diff

tools: Profound from ~$99/mo for citation tracking (optional) · aeo-audit npm package is free · SE Ranking AI Monitor from $44/mo (alternative)

tokens: ~$2-5 per page audited and rewritten (brief + rewrite + schema pass)

≈ $0-110/mo depending on whether you use a paid citation tracker; token costs ~$10-20/mo at 5-10 pages/week

What stays yours

· Manually run target prompts in AI engines to build the initial gap list — no skill can access live ChatGPT/Perplexity without an account and browser session
· Review and approve each optimized page draft before publishing; AI-generated content requires editorial judgment for accuracy and brand voice
· Source and verify statistics used as quotables — fabricated metrics in citations will be flagged or ignored by AI engines; human fact-check is non-negotiable

The problem

When AI answer engines and AI Overviews eat my organic clicks, I want to find the exact prompts where I'm missing, generate citation-ready briefs/articles (standalone definitions, FAQ schema, sourced quotables), audit page-type fit and drift, and recover lost rankings, so I defend and grow discovery traffic as search shifts from links to answers.

Cybernetic layers

Memorybyo

No harvested memory artifact for citation-state persistence. Track prompt gap list + per-page audit scores in a Google Sheet or local file across re-runs. Each step re-reads from file context.

Background-schedulingbyo

Citation audits should re-run monthly as AI engines update their retrieval models. No scheduled-agent artifact in pool covers this loop — use Claude Code cron or a calendar reminder to re-trigger the recipe.

Harnessready

Claude Code is the runtime. Drop each skill into ~/.claude/skills/ and invoke by name. aeo-audit (npm package) installs separately via `npx @ainyc/aeo-audit`.

Click any step to see what fills it — and the ranked alternatives you can swap in.