Your Brand Scores 12/100 on AI. Here's Why That's a Crisis

[BY]

David Smith

[Category]

AI Strategy

[DATE]

We scanned 50 Hong Kong brands across 10 AI engines. The average score was 12 out of 100. Most of these brands rank well on Google. None of their CMOs knew the gap existed.

There is a new scoreboard for your brand. It runs 24 hours a day, handles millions of queries, and every score is given as a direct recommendation to a potential customer. Most brands don't know their score. Most marketers haven't even heard the name of the game yet.

The game is Generative Engine Optimisation. The scoreboard is every AI engine your customers use — ChatGPT, Gemini, Grok, Claude, Perplexity, and four Asian engines your competitors have never thought about. And in early 2026, the average brand in Hong Kong scores 12 out of 100.

12/100

Average GEO score across 50 Hong Kong brands scanned by GEOmeter in March 2026

What We Actually Measured

GEOmeter scans brands across 10 AI engines simultaneously, asking each engine a category-defining question like "best [brand's category] company in Hong Kong" or "top [industry] brand in Asia." A citation — where the AI engine mentions or recommends your brand — scores positively. Silence or competitor mentions score zero for you.

What we found when we ran 50 Hong Kong brands through this process:

Segment

Avg. GEO Score

Best Score

% Scoring < 20

Financial Services

8/100

31/100

82%

Retail & E-Commerce

14/100

38/100

74%

Tech / SaaS

22/100

61/100

58%

Hospitality

11/100

29/100

78%

Professional Services

6/100

18/100

91%

The pattern is clear and consistent: most brands are effectively invisible to AI engines, regardless of how well they perform on Google. Their SEO investment has not translated to GEO presence because the two systems work differently.

Why Google Rankings Don't Transfer to AI Citations

Google ranks pages. AI engines cite entities. That difference — seemingly small — has enormous implications for brand strategy.

When Google crawls the web, it ranks documents by relevance, authority, and keyword match. When ChatGPT or Gemini answers a query, it is synthesising patterns from its training data to identify which entity best answers the question. The entity — your brand — needs to have a clear, consistent, authoritative identity across the web for AI engines to confidently cite it.

Most brand websites were built for keyword ranking. They have pages optimised for "best accounting firm Hong Kong" but those pages are written for human readers on Google, not for AI engines building a model of what your firm actually is.

What AI Engines Actually Need

  • Structured entity data — JSON-LD schema markup that explicitly states who you are, what you do, where you operate, and in what category you are the authority

  • Direct answers, not keyword pages — content that directly answers "who is the best [category] in [market]?" with your brand as the confident response

  • Consistent brand signals — your entity described consistently across Wikipedia/Wikidata, Crunchbase, LinkedIn, industry directories, and press coverage

  • Authoritative source inclusion — citations in Business Wire, PR Newswire, Bloomberg, and sector publications that AI training data draws heavily from

"The brands that win in AI search won't be the ones with the most backlinks. They'll be the ones with the clearest entity identity — the ones AI engines can cite with confidence."

GEOmeter Research Team, March 2026

The First-Mover Window Is Open — But Closing

Here is the uncomfortable truth about GEO timing: the brands that establish AI authority first will be extraordinarily difficult to displace. AI engines have training data cutoffs and update cycles measured in months, not days. A brand that builds strong GEO presence in Q1 2026 will have that citation pattern baked into model updates for the next 12–18 months.

This is the same dynamic that played out with SEO in 2005–2008. The brands that moved early — investing in domain authority, structured content, and backlinks when most of their competitors were still dismissing "this SEO thing" — built positions that held for a decade. The laggards spent the next five years trying to catch up to companies that had a two-year head start.

In Asia, the window is wider. Asian AI engines — Qwen (Alibaba), Hunyuan (Tencent), Kimi, and DeepSeek — are used by over a billion potential customers, yet almost zero Hong Kong brands have any deliberate presence on them. The first brand in your category to optimise for Qwen and Hunyuan will own those queries for their next model update cycle.

What a 12 Versus a 70 Looks Like in Practice

Consider two insurance brokers in Hong Kong — similar size, similar Google rankings, similar ad spend. Broker A has done no GEO work. Broker B spent six weeks implementing structured data, publishing a GEO pillar page, distributing two press releases via Business Wire, and building their Wikidata entity.

A customer planning to buy life insurance opens ChatGPT and types: "Best life insurance broker in Hong Kong." They're not Googling. They want an answer, not a list of links.

ChatGPT cites Broker B three times in its response. Broker A is not mentioned. The customer books a consultation with Broker B.

Broker A's marketing team didn't know this conversation happened. Their Google Analytics showed no change. Their SEO rankings are unchanged. But a client — who would have been an excellent fit — went to their competitor, and the whole thing was invisible to them.

This is the GEO crisis. It's not a crisis of ranking. It's a crisis of visibility in conversations you can't see.

68%

of product and service research now begins with an AI engine query, not a Google search (2025 data)

Three Things Every Brand CMO Should Do This Week

  1. Get your GEO score today. Run your brand on GEOmeter — it takes 20 seconds and will show you exactly which of the 10 major AI engines are citing you and which are ignoring you. This is your baseline.


  2. Deploy schema markup immediately. Add Organization and FAQ JSON-LD structured data to your homepage. This is a 30-minute developer task with measurable GEO impact within days. It is the single highest ROI GEO action available.


  3. Check your Asian engine scores separately. If your brand serves any customer base that uses WeChat, Alipay, or Chinese-language services, your Qwen and Hunyuan scores matter. Most brands score zero on these. Fixing this now, before your competitors realise the gap exists, is a significant first-mover advantage.

What's your brand's GEO score?

Find out in 20 seconds — free scan across 10 AI engines including Qwen, Hunyuan and DeepSeek.

Run Free GEO Scan →