How earned media drives AI search visibility in ASEAN

It’s OK to talk about your strengths, but it’s so much better when others do the talking for you.

Earned media (unpaid publicity gained organically through third-party endorsement) has become one of the factors most strongly linked to AI search visibility. And in B2B companies in ASEAN, most marketing strategies haven’t caught up.

Singapore ranks second globally for AI adoption, with 60.9 per cent of its working-age population already using generative AI tools. Google’s e-Conomy SEA 2024 report placed Singapore, the Philippines, and Malaysia among the top 10 countries globally for AI-related searches.

The brands appearing often have built an editorial presence that these systems could find, verify, and cite. The companies that earn media coverage strategically can, sometimes rapidly, take pole position.

How does AI search decide which sources to recommend?

AI search tends to recommend sources that appear consistently and credibly across multiple independent publications. That’s why your editorial presence typically matters more to these systems than your on-site SEO (what’s on your website, socials, etc.).

Traditional search returns a list of links; AI search reads multiple sources and synthesises a single answer, and AI/LLM platforms need to judge which sources can be trusted before they can write that answer.

Ahrefs’ analysis of 75,000 brands found that being mentioned on other websites matters roughly three times more to AI search visibility than how many sites link to you (backlinks). Brands with few web mentions are largely invisible to these AI systems, no matter how well their website ranks, and brands with the most mentions earn up to 10x the AI Overview references than the next closest group.

The factors these systems weigh include:

• how often your brand is mentioned independently across the web
• how recently that coverage was published
• whether it includes named expert quotes
• whether the content opens with a direct answer rather than burying the point
• whether specific data backs the claims.

Backlinks, strong blog content, and good service pages still matter plenty, but considerably less than mentions alone.

Why does AI search favour earned media over owned content?

AI systems favour earned media because these systems can’t independently verify what a brand says about itself, but they can check whether outside sources say the same thing. When your brand writes its own content, AI systems see your own version of events – useful, but unverified.

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When Nikkei Asia, The Straits Times, South China Morning Post, or an analyst report mentions your brand, a credible outside source has made a deliberate choice to include you, and that carries a different weight.

Muck Rack’s What Is AI Reading? report analysed over one million links cited by AI search tools and found that 94 per cent of AI citations come from non-paid sources, with earned media alone accounting for 82 per cent. Generic corporate blogs and lightly produced branded pages rarely make the cut. Well-researched, authoritative owned content performs better – but the bar is higher than most brands realise.

Half of all AI citations come from content published within the last 11 months, which means coverage from three years ago has little sway (unless it’s highly original or authoritative), and a consistent PR program seeking earned media can keep your brand popping up again and again.

How does public relations coverage influence what AI search recommends?

PR builds the independent editorial record that AI systems draw on when deciding which brands to recommend. Every journalist feature, analyst mention, and trade publication article gives these systems another viable reference when someone asks a relevant question.

The specific activities most likely to help include:

• media relations
• thought leadership and bylined articles
• press releases built around data
• analyst relations
• original research
• executive profiling

i.e., anything that puts a named, quotable person and verifiable facts into an independently published source.

That record only helps if you’re building it in the right places. That means a PR team that knows the terrain and isn’t working on now-ancient paradigms.

Getting your brand into those publications, or the trade outlets AI engines trust in your sector, requires choosing them deliberately, not running broad outreach campaigns.

What makes content more likely to get cited by AI search?

The content most likely to get cited has three qualities. It:

• quotes named experts
• opens with a direct answer to a clear question
• includes specific data

Named expert quotes get cited more often. A direct opening matters because AI systems pull from the first paragraph more than anywhere else in a piece. Specific numbers and verifiable facts consistently outperform general storytelling in citation rates.

Where you publish matters as much as what you publish. A Stacker/Scrunch study of 87 stories across 30 brands, tested across 8 AI platforms, found that placing the same content across multiple trusted news outlets more than tripled how often AI systems cited it, compared to publishing only on the brand’s own site. I’ve seen this in practice, working with a Japan-based SaaS company and a Japanese medical device manufacturer, building editorial coverage across regional and international business press with named expert commentary and specific data in every placement.

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How do you measure whether public relations is working for AI search?

Citation presence – how often your brand appears as a named or linked source in AI-generated answers – is the right thing to track, because traffic alone no longer tells the full story. AI Overviews reduce clicks by 34.5 per cent compared with standard search results, so your brand can be the cited answer to a buyer’s question and generate no trackable visit at all.

ChatGPT gives you the clearest attribution, as it automatically labels the traffic it sends to your site, so you can see it as a separate source in your analytics. For Google, map Search Console impression data against your PR campaign timelines and look for patterns. For Claude and Perplexity, watch your branded search volume – how often people search directly for your company name – since it tracks closely with AI visibility.

Some tools now measure citation share directly. Manual testing across the major AI platforms with prompts relevant to your category is a practical starting point if you don’t have one yet.

How should ASEAN B2B brands use earned media to improve AI search visibility?

Start by treating PR as part of your AI search strategy. Find out which publications AI tools actually cite for your category and build relationships with those outlets. Pitch stories that include named experts, real and compelling data, and specific angles – not general company news. Stay consistent, because AI search rewards brands that show up regularly in their industry’s conversation.

Most in-house PR teams (if they even exist) are completely missing the boat on this.

ASEAN’s AI market is projected to grow from US$12 billion in 2025 to nearly US$80 billion by 2031, a 37 per cent annual growth rate. Boston Consulting Group has projected that AI and generative AI will contribute US$120 billion to the region’s GDP by 2027. The buyers and decision-makers in this market are already using AI search as a primary research tool.

Brands that build a consistent, deliberate earned media presence as a central part of their marketing mix are giving themselves a real advantage over those that treat PR as an afterthought.

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