Wiele Citation Briefs

Field guides for the answer economy.

Each brief answers one decision-stage question buyers ask inside ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot. Extractable. Schema-marked. Methodology open. Built to be cited.

AEO methodology

How premium agencies get cited by ChatGPT, Perplexity, and Google AI Overviews

The Five-Stage Citation Hierarchy AI answer engines use, the signals that move the needle, and how to engineer for inclusion. Citation, not clicks.

12 min readRead brief

AEO methodology

Stage 3 — How to engineer pages AI answer engines actually quote

Stage 3 of the Five-Stage Citation Hierarchy — Structured Extractability — is the highest-leverage stage. Schema bundle, content pattern, antipatterns, and the Wiele extractability checklist.

14 min readRead brief

AEO methodology

AEO is the 2026 WCAG — the accessibility lineage of AI citation

AEO is the 2026 successor to WCAG. The same disciplines that made the 2000s web legible to screen readers now make pages legible to AI engines. The lineage is direct; the buyer is new.

14 min readRead brief

AEO methodology

The Two-Tier Access Doctrine — why pages that load still fail in AI answers

Information access (reaching a page) is solved. Cognitive access (extracting an answer from it) is not. Corrao + Fulantelli 1998 is the doctrine that closes the gap — 25 years early.

12 min readRead brief

AEO methodology

Build brand semantics infrastructure — the 2026 mandate Google named first

Google's 2026 marketing predictions guide literally tells CMOs to 'build brand semantics infrastructure.' The discipline now has a name, a primary source, and a 90-day build path. Four sub-disciplines, four failure modes, four capability layers — the stack that decides which brand AI agents recommend.

12 min readRead brief

AEO methodology

Stage 1 — Entity Resolution: how AI engines learn which brands to trust

Stage 1 of the Five-Stage Citation Hierarchy is Entity Resolution — whether AI engines can unambiguously identify your brand as a distinct entity. Every other stage in the hierarchy is gated on it. The engineering sprint that fixes it, and the signals that confirm it landed.

13 min readRead brief

AEO methodology

Stage 2 — Source Authority: how AI engines decide which domains to trust

Stage 2 of the Five-Stage Citation Hierarchy is Source Authority — the engine's confidence that your domain is a primary, trustworthy source. Unlike Stage 1, it cannot be sprint-fixed. It compounds over months through five signals: tier-1 editorial citations, named-author publishing consistency, cross-entity citations, topical concentration, and temporal consistency. The authority layer that determines whether you are cited or merely eligible.

14 min readRead brief

AEO methodology

Stage 4 — Freshness: why AI engines prefer maintained sources over published ones

Stage 4 of the Five-Stage Citation Hierarchy is Freshness — the engine's assessment of whether your content reflects current information. Unlike Stage 2 Source Authority, Freshness decays: content that was current becomes stale, and citations follow. Five signals, one compounding vulnerability, and the content cadence that prevents decay.

13 min readRead brief

AEO methodology

Stage 5 — Recommendation History: how early citation becomes a compounding moat

Stage 5 of the Five-Stage Citation Hierarchy is Recommendation History — the engine's accumulated record of having cited your brand on a topic. It is the only stage that compounds without a ceiling: early citation makes future citation more likely, which deepens the history, which raises citation probability further. Every other stage in the hierarchy exists to earn the first citations that start this loop. Stage 5 is where those citations become a moat.

13 min readRead brief

Run the audit

Find out if AI recommends you.

14 days. One engine run. Five signals. A 30-day implementation roadmap delivered with a Wiele principal on the call.

Start AI Visibility Audit Book Strategy Call

€2,500 one-off · No retainer required to start