• ai-seo (2.4.0 → 2.5.0): new references/format-volatility.md — the citation-format volatility axis, companion to agent-readiness.md's citation-source volatility. Anchored on the ChatGPT 5.6 format shift (Aug 2026, Peec AI data via Tomek Rudzki and Lily Ray): fan-out queries dropped the "vs / comparison / top / best / reviews" modifiers while site: and "official" searches surged, and citations by page type fell −50.5% for listicles (15.77% → 7.80%) and −32.1% for comparison pages (9.08% → 6.17%) — the two formats companies scaled for GEO, demoted in one release. Covers what changes (stop justifying scaled listicle/comparison production with "wins AI citations"; owned "official" pages rising as the citable class) and what doesn't (comparisons still convert humans and still earn citations on Google AIO / Gemini / Perplexity — a per-platform format table replaces one-size-fits-all advice). Adds LinkedIn as a citation surface from LinkedIn's own AEO guide (via Chris Long, platform-reported: most-cited outlet for professional searches; Articles out-cite Posts ~60/40; first words of a post become the URL slug — front-load the target phrase), a DIY ChatGPT fan-out extraction diagnostic (DevTools → network payload → literal background queries; explicitly warned against as a mass-generation content-spam input), and a measurement-rigor section (AI answers are non-deterministic: 3–5 runs per query, mention rate with sample size, rates-over-time not run-vs-run, technical/comprehension/trust cause split; framing credited to Initial Commit's AEO audit skill, Josh Pigford). SKILL.md: Content Types section rewritten around the volatility (stale ~33%-comparison-share table retired to context), ChatGPT fan-out + extraction pointer added to the fan-out section, LinkedIn added to the Presence pillar, non-determinism rule added to DIY monitoring, new triggers ('do listicles still work for AI,' 'ChatGPT stopped citing comparison pages,' 'AI citation format shift'). New eval (id 10) covers the scaled-comparison-roadmap prompt that must get the 5.6 pushback plus the one-run-anecdote measurement correction.