When we run citation checks for clients at ESBO Ltd, my agency, the sources assistants quote for buying questions are rarely brand websites or big media. They are creators: a YouTube comparison from someone who tested four products on camera, or a forum thread with real numbers in it. The people being quoted are, almost without exception, not being paid for it.

That is a pricing failure, and I doubt it lasts long.

The machines quote creators now

The scale surprised me when the data landed. In January, Adweek pulled together citation research from four independent firms, 6.1 million AI citations in all, and found that YouTube had overtaken Reddit as the most quoted social platform in AI answers. YouTube now appears in roughly 16 per cent of assistant responses, and its share of social citations more than doubled between August and December 2025 while Reddit’s halved.

The why matters more than the ranking. Models reach for creator content on buying questions because it looks like evidence. Brand pages make claims. A creator video shows the thing working, with a transcript, specific numbers and an audience arguing in the comments. When an assistant has to answer which accounting tool suits a small Philippine agency, somebody’s tested comparison beats a feature page.

The region built its house on the unquoted platform

Here is the uncomfortable part for Southeast Asia. This region’s creator economy runs on TikTok to a degree no other market matches, with over 150 million active users regionally, and Momentum Works found content commerce drove 32 per cent of Southeast Asian e-commerce GMV in 2025. As a selling engine, it works. For the answer layer, it barely exists: the same Adweek data set has AI systems citing YouTube about 50 times more often than TikTok and 18 times more often than Instagram. Short vertical video with thin transcripts is close to invisible to the machines assembling recommendations.

Also Read: The creator economy is distribution, not marketing. Most Asian businesses are still scaling it like a campaign

The reach economics stay brutal at the same time. TikTok’s Creator Rewards Programme was still not live in a single Southeast Asian market as of mid-2026, and creators with mainly domestic audiences earn effective payout rates measured in cents per thousand views. A creator in Manila or Jakarta needs a multiple of the audience a London creator needs to earn the same platform payout. So the region’s creators are optimised for a currency that pays them worst, on the platform the answer layer reads least.

Pricing the quote

Influence stopped being a follower count a while ago; citation data just makes the replacement measurable. A reviewer with 30,000 subscribers whose comparison video gets quoted whenever assistants answer a category question carries more commercial weight than a lifestyle account with three million followers and zero citations. The tracking tools to see this per brand and per market already exist, and what brands can measure, they eventually price.

In practice that means paying creators for durable presence in the content machines quote, rather than for a burst of reach. A two-year-old tested review that assistants keep citing is media that never stops running. One warning belongs here: sponsorship has to be disclosed, and undisclosed astroturf is the fastest way to lose the audience and the citations together, since models lean on community validation. The value comes from genuine testing with a sponsor attached, never from a script.

Also Read: Why reach doesn’t equal credibility in the creator economy

For founders reading this from the brand side, I argued in June that startups need public proof before they scale. Creator citations are becoming part of that proof layer, and in this region they are still remarkably cheap to earn honestly.

Building citability

Four habits separate quoted creators from merely famous ones.

Own a narrow set of questions. “Best payroll tools for Indonesian SMEs” gets answered by machines thousands of times a month, and somebody’s testing will be the source. Pick the questions and become that somebody.

Go where transcripts live. Long-form video with clean captions, plus a blog or newsletter carrying the same findings in text. Machines read words. Give them words.

Publish numbers. “It felt fast” does not survive summarisation. “It processed 500 invoices in 40 minutes” does, and gets attributed.

Keep your name consistent across platforms, so authority accumulates to one entity instead of scattering across handles the models cannot connect.

For a decade this region’s creators have been paid for attention. The machines now pay attention to something else, and the first creators and brands to price it will look early for about a year, then look obvious.

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