GEO Decision System
AI Search Visibility · Six Engines

Be the answer
AI engines cite.

The GEO Decision System™ is a nine-layer methodology for improving brand visibility across AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Microsoft Copilot.

01 — The Method

Nine layers, from viability to proof.

Generative Engine Optimization is the practice of improving how often and how accurately a brand is cited in AI-generated answers. GEO OS operationalizes it as a decision system — diagnose first, prescribe second.

L0
Topic Viability Audit
Can this topic realistically earn AI citations — before any work begins.
L1–L4
Intent Funnel
Discovery · Consideration · Decision · Conversion, mapped to AI-search intent.
L5
Re-engagement
Recover entities the engines saw once and stopped citing.
L6
AI Engine Routing
Tune structure to the retrieval behavior of each of the six engines.
L7
Authority Amplification
Build the third-party corroboration that makes an entity citable.
L8
Performance Monitoring
Track citation footprint across engines over time, as measurable output.

Read the full methodology →

02 — The Proof

I ran the system on my own entity first.

A strategist whose own brand is invisible to the engines is a cobbler with no shoes. So the first case study is this one — a public scorecard, re-tested monthly, tracking where my own entity is cited across all six engines, per query. Radical transparency, scored by the exact system I run on clients.

See the live baseline →
03 — Work With Me

Three tiers. Diagnosis before prescription.

Each tier reveals more of what's holding your brand back — the full audit is where the rebuild gets prescribed.

Tier 01 · Free

Teaser Snapshot

The cold-outreach hook.

One score, one glaring gap. Free.

Tier 02 · Tripwire

Full Snapshot

Every gap, layer by layer.

Diagnosis without the fix — credits toward the audit.

Tier 03 · Engagement

GEO OS Audit

The prescriptive rebuild.

Execution brief, schema delta, citation strategy.

Start with a Snapshot →