AI Positioning Foundation for Strategic GEOGEO Technical Readiness SprintGEO executionBilingual & Cross-Border AI Visibility Methodology — VERDICT™ + PROOF™ Who We Serve Case Studies Insights About Contact

Strategic GEO

Strategic GEO —
Recommended by AI.
Chosen by your customer.

When a buyer asks AI who to choose, being named gets you on the list. Being recommended — AI pointing to your own site — gets you the call. We fix the position first, the plumbing second, and prove it on six surfaces, no composite score.

Measured on
ChatGPTPerplexityGoogle AI OverviewsGoogle AI ModeGeminiClaude

The problem

Named is not recommended.

When a buyer asks AI who to choose, being named gets you on the list. Being recommended — AI pointing to your own site — gets you the call. Three ways companies lose that second step:

Named, not recommended.
A manufacturer named in every AI run and recommended in none.
Perfect, and invisible.
A 97/100 page that AI skipped for a slower competitor.
Rated, and invisible.
4.8 stars, 53 reviews, and a 2.6-star rival in the answer.

How it works

Position → Plumbing → Execute.

We fix the position first, the plumbing second, and execute against both — reported on six surfaces, no composite score.

1
Position
The AI Positioning Foundation: what you are, for whom, the questions your buyers actually ask AI, and one consistent description of you everywhere AI looks. Three to four weeks, fixed fee, done when it's deployed — not when it's delivered.
2
Plumbing
The Technical Readiness Sprint: crawler access, schema, entity hygiene. Makes you reachable by AI — eligible to be named. Runs alongside the Foundation, or alone if that's all you need.
3
Execute
Monthly GEO against your query map and entity spec — content that answers real prompts, a position AI can lift and recommend.

The engagement

Start with the Foundation.

One ladder: fix the position, clear the technical floor, then execute monthly. Every figure is a “from” reference — quotes are scoped case by case.

Start with the Foundation →

The measurement standard

Six surfaces. Reported separately. No composite.

We report six surfaces — ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude — each on its own, three runs per cell, depersonalized. No blended score. No surface reported as zero without a human checking it that month. You see where AI recommends you, where it only names you, and who it recommends instead.

Read the Six-Surface Standard →

What we don't promise

We sell visibility and measurement — never placement.

No one can guarantee placement in an AI answer — OpenAI says so about ChatGPT in its own documentation. We sell visibility and measurement. If a vendor promises you a spot, ask them for per-engine, source-level proof.

What we find

Named everywhere, recommended nowhere.

Recent assessments, anonymized. The pattern repeats: strong companies AI names but never points to.

All findings →

Who we serve

Built for the buyers who decide in AI.

Defined by a discipline and a buyer, not an industry — where a recommendation actually moves a high-consideration decision.

Who we serve →

Methodology — VERDICT™ + PROOF™

Seven pillars behind the recommendation.

Measured to the Six-Surface Standard. The C is the structural moat — every output is reviewed against FTC advertising rules and any industry-specific rules before it ships. No generalist agency offers that.

See methodology + sample PROOF Report →

Who runs this

A specialist, not a generalist agency.

Shawn Lai, Senior Manager, WTT Consulting LLC
Shawn Lai
Senior Manager, WTT Consulting LLC

Twenty years of management consulting for Fortune 50 clients behind the positioning call.

WTT Digital was built after capable brands kept losing visibility on the prompts their buyers now ask AI assistants — while agencies reported AI “scores” nobody could reproduce. WTT Digital is the answer: a measurement standard held honestly, and the strategy to act on it.

From the desk

Recent insights.

The measurement standard for AI visibility

Why nearly every AI-visibility “score” you've been shown is unreproducible — and the six-surface method we publish instead.

The VERDICT™ Framework

Seven pillars, measured to the Six-Surface Standard and reported through PROOF™ — including the Compliance pillar generalist GEO shops skip.

All insights →

Common questions

FAQ

We lead with measurement. Most agencies assert an AI “score” you can't reproduce; we publish our method — six AI surfaces, equal weight, per engine, at least three samples per query, no composite — so the number means something. Then the VERDICT™ Framework moves it, reported monthly through PROOF™.
Six, equal weight, reported per engine with no blended score: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Claude. We measure to a published standard and discard invalid runs rather than paper over them.
No — and be skeptical of anyone who does. OpenAI's own documentation states there is no way to guarantee top placement in ChatGPT. We sell visibility and measurement: we show where you stand, move it, and prove the change engine by engine.
You get a measured baseline in the first engagement. Most engagements show citation lift on tracked prompts within about 60–90 days, reported with receipts each month — never a vanity number.
Marketing leaders and founders at brands where AI-search discovery matters — with early strength in cross-border US–China brands, boutique M&A and advisory firms, and enthusiast consumer brands. National, not geo-bound.
Yes. We measure and build AI visibility across both English and Chinese AI/search surfaces — a bilingual capability few agencies offer, and a fit for cross-border and China-facing brands.

See where you stand

Find out, in numbers, whether AI is recommending you.

A 20-minute call and a live six-surface run on your own domain. No deck, no pitch — just the answer.

See if AI is recommending you → Read the Six-Surface Standard