Your Competitors Are Already Being Recommended by AI. Are You? A 10-Minute Self-Test

Have you ever run this test?

Open ChatGPT and ask one of the most common questions in your own industry. For example:

Selling coffee beans → ask “What are the best specialty coffee bean brands in Taiwan?”
Running B2B software → ask “Recommend a customer management system suitable for small and medium businesses”
Running a hair salon → ask “Best-reviewed hairstylists in the East District”

Then look carefully at the list the AI gives you.

Is your brand on it? Are your competitors on it?

90% of brand owners have never run this test. Once they do, they realize the brand visibility they spent 10 years building may be nothing but a blank space in the AI search arena.

1. Why does this test matter?

In the past, you judged “brand visibility” by:

Google rankings
Facebook ad reach
Media coverage
Word of mouth

None of these metrics can measure visibility in the AI search arena at all. A brand ranked #1 on Google can disappear completely from ChatGPT’s recommendations; conversely, a small brand sitting on Google’s third page may be favored by AI because its “structured data is beautiful.”

AI search is a new battlefield, and the old dashboards can’t see it.

2. The 10-minute self-test process

Step 1: List 5 common industry questions (2 minutes)

Don’t start from the “keywords you want to rank for” — start from the questions real users actually ask. For example:

❌ “specialty coffee beans” (this is an SEO-mindset keyword)
✅ “A friend gave me a coffee grinder. I want to find some good specialty beans — any recommendations?” (this is what a real AI query looks like)

Write 5 questions like this.

Step 2: Ask each one once on ChatGPT, Perplexity, and Google AI Overviews (5 minutes)

Note: the three platforms will give different answers. Each has its own training corpus, citation preferences, and real-time search capabilities.

Record the “brand list” each platform gives you.

Want to understand why leading AI engines like ChatGPT / Gemini / Perplexity differ so much in citation logic? See: How Differently Do ChatGPT, Gemini, and Perplexity Cite? (VIP).

Step 3: Cross-reference (3 minutes)

Merge the lists from the three platforms and look at:

Brands appearing 3 times: the “dominant performers” of the AI era
Appearing 1–2 times: marginal visibility
Never appearing: effectively “non-existent” to AI

If your brand falls into the third category, that’s the evidence of the gap you’re facing right now.

One caveat: a single ask is noisy — run the same question tomorrow and the list may change. To treat this as a trustworthy monitoring metric, you need multiple rounds of measurement to read the trend. See: Does ChatGPT Give You a Different Answer Every Time? The Truth Behind AI Citation “Drift”.

3. The results are in — now what?

Two directions:

Direction A — Find what the dominant performers have in common

Open the websites of the brands that “appeared all 3 times” and check:

Do they have a dedicated blog / content hub?
Do their articles carry author bylines and publication dates?
Are they frequently cited by Wikipedia / covered by the media?
Is the site structure clear and answer-first?

This is exactly what AI is “selecting” for. To see the actual selection process AI runs, see: How Do AI Search Engines Pick Their Citations? The 4 Key Steps (VIP).

Direction B — Quantify your own GEO fitness

Looking at others isn’t enough — you need to know your own starting point.

👉 Run a free GEO health check — a 12-dimension score plus prioritized improvement recommendations. In 3 minutes, see:

Whether your AI search readiness is grade A or grade D
Which dimensions need immediate reinforcement
Where you stand relative to your peers

4. Why run the self-test and the health check together?

The self-test tells you the “result” (who got recommended); the health check tells you the “reason” (why).

Looking only at the result, you won’t know how to fix it; looking only at the reason, you won’t know how urgent it is. Looking at both together is the only way to:

Confirm the true scale of your AI-recommendation gap
Find a concrete, actionable path to improvement
Prioritize how to invest your time and budget

If you finish the self-test plus the health check and discover there’s a lot to fix — that’s exactly where we add value. GeoWeb provides GEO advisory services that take you from a health-check report all the way to “actually being cited by AI engines”: [email protected]