Hong Kong’s top AI search citation sources: what public data can — and can’t — prove

The short answer: no verified Hong Kong top 10

In this context, an AI search citation source means a URL, page or root domain that appears as a source in an AI-generated answer. It is not the same as traffic to an AI tool such as ChatGPT, and it is not the same as a trending search keyword.

The public data currently available falls into three main buckets: Google AI Mode citation statistics, cross-platform citation studies covering tools such as ChatGPT, Google AI Mode and Perplexity, and Hong Kong AI website traffic or search-interest data.

Those datasets are useful, but none of them simultaneously provides a Hong Kong-only query set, a fixed platform, a fixed time period, fixed language settings and a consistent citation-counting method. Without those controls, a Hong Kong top-10 ranking would be more guesswork than evidence.

The safer conclusion is this: Wikipedia, Reddit, LinkedIn and YouTube are sensible benchmark domains to watch in a Hong Kong AI citation audit, but they should not be described as Hong Kong’s proven top four or top 10.

Three rankings that are easy to mix up

A lot of confusion comes from treating different kinds of rankings as if they answer the same question.

1. AI answer citation sources. These are the URLs or domains listed, embedded or attached as sources in an AI answer. This is the ranking people usually mean when they ask which sites AI search cites.
2. AI tool website traffic. Semrush reports that, as of February 2026, chatgpt.com was the most visited AI website in Hong Kong with 11.1M monthly visits, followed by deepseek.com with 8.27M visits. That tells us about Hong Kong usage of AI tools. It does not tell us which external websites those tools cite.
3. Search interest. Coverage of Google Hong Kong’s 2025 Year in Search report said DeepSeek was Hong Kong’s top trending keyword search, and that four of the top 10 trending searches were AI-related. That shows strong local interest in AI, but it is still not a citation-source ranking.

Mixing those three categories is the fastest way to create a misleading top-10 list.

What public studies do support

The following domains are not a Hong Kong ranking. They are better understood as evidence-backed starting points for a local audit.

In other words, these are benchmark sources to observe, not a finished Hong Kong leaderboard.

Why global data cannot simply become a Hong Kong ranking

Platform differences can overwhelm the result. Superlines reports that the same brand’s citation volume can differ by 615x between Grok and Claude. If ChatGPT, Perplexity, Google AI Mode, Claude and Grok are combined into one list, the ranking needs a clear weighting method. Otherwise, one platform’s behaviour can distort the entire table.

The study scope matters. Semrush’s three-month study looked at highly cited domains across platforms including ChatGPT, Google AI Mode and Perplexity, not a Hong Kong-only subset of local queries. SE Ranking’s figures support citation signals for domains such as Wikipedia, Reddit and YouTube in Google AI Mode, but they do not replace a Hong Kong market study.

Hong Kong needs language and intent controls. A credible local ranking would need to state whether it tested Traditional Chinese, English or mixed-language queries. It would also need to separate different search intents, such as news, finance, travel, healthcare, education, restaurants and local services.

Counting rules change the result. Some studies count individual URLs. Others group citations by root domain. Some count whether a site appears at least once, while others count total citation volume or brand visibility. Different methods can produce different top 10s.

Hong Kong demand is real, but that is not the same as a citation list

There is clear evidence that AI is a major topic in Hong Kong. Google Hong Kong’s 2025 Year in Search coverage put DeepSeek at the top of the city’s trending keyword searches, with four AI-related items in the top 10. Semrush’s Hong Kong AI website traffic data also placed chatgpt.com and deepseek.com as the two most visited AI websites in the market as of February 2026.

Those are important market signals. They help explain why brands and publishers care about AI visibility. But they answer a different question: whether people are searching for or using AI tools, not which sites AI answers cite.

How to build a verifiable Hong Kong AI citation audit

Instead of relying on an unverified top 10, a more defensible approach is to build a repeatable citation audit.

1. Separate platforms first. Track ChatGPT, Google AI Mode, Perplexity and any other tools independently before creating a combined view. Platform variation can be large enough to change the outcome dramatically.
2. Use a Hong Kong query sample. Include brand terms, non-brand terms, industry terms, local place names, Traditional Chinese queries and English queries.
3. Fix the test conditions. Record the date, region setting, language setting, login state, device environment and whether live search or browsing is enabled.
4. Save the raw evidence. Keep the citation URL, root domain, page title, AI answer text and screenshots for every test so the result can be checked later.
5. Publish results in layers. Report by platform, language, industry and query intent before publishing any overall ranking.
6. Rerun the test regularly. Semrush’s three-month study shows that AI citation sources can shift by platform and over time, so a one-off snapshot should not be sold as a durable market ranking.

If a final combined ranking is published, it should explain the weighting method: equal platform weighting, Hong Kong usage weighting, query-volume weighting or another transparent formula. Without that, a top 10 should be treated as an observation, not a market fact.

What this means for Hong Kong brands and publishers

The practical move is not to chase an unverified list. It is to make AI visibility measurable.

Ask: which platforms cite your site? Which query groups trigger those citations? Which competitor pages appear instead? Are citations coming from media sites, community platforms, encyclopaedic pages, video platforms or company-owned pages?

SE Ranking’s AI Mode data also suggests that existing authority signals may matter. In its 2025 statistics, websites with more than 134K monthly visitors were 2.3x more likely to be selected and cited than sites with 2.8K visitors or fewer; sites with more than 24K referring domains had almost 3x higher chances of appearing as a source than sites with 300 referring domains.

That is not a Hong Kong formula, and it is not a citation guarantee. But it is a useful reminder: AI visibility is unlikely to come from one optimized page alone. Brands and publishers need content that is findable, verifiable and worth citing over time.

FAQ

Is there an official or publicly verifiable Hong Kong top 10 for AI search citation sources?

Based on the available public evidence, no. Existing sources support some platform-level and cross-platform citation signals, plus Hong Kong AI traffic and search-interest context, but they do not provide a repeatable Hong Kong-specific citation ranking.

Are Wikipedia, Reddit, LinkedIn and YouTube the Hong Kong top four?

No. They are evidence-backed benchmark domains from broader AI citation studies. To call them Hong Kong’s top four or top 10, researchers would still need a fixed local query set, platform scope, language setting and time period.

If chatgpt.com is Hong Kong’s most visited AI website, does that mean it is the most cited source?

No. Semrush reports that chatgpt.com was Hong Kong’s most visited AI website as of February 2026, with deepseek.com second. That measures visits to AI tools, not which outside sources AI answers cite.

What is the minimum needed to create a credible Hong Kong ranking?

At minimum: fixed platforms, a fixed query set, fixed language and region settings, a fixed test date or date range, and the full citation URLs or root domains from each answer. Without those details, a list should be labelled as a small-sample observation rather than a Hong Kong market ranking.

Bottom line

The most responsible conclusion is that public data does not yet support a ranked list of Hong Kong’s top 10 AI search citation sources. Wikipedia, Reddit, LinkedIn and YouTube have enough evidence to be included in a Hong Kong test sample, but any local ranking needs transparent methodology before it can be treated as fact.