For startups, visibility has always been a survival skill. You need to win investor trust, attract talent, and convince customers to bet on you instead of an established player. In today’s environment, that challenge has a new dimension. It is no longer just about reaching people; it is about connecting with them. It is about ensuring your brand is part of the knowledge base that powers Generative AI tools, such as ChatGPT, Gemini, Copilot, and DeepSeek.

A recent Forrester survey found that 89 per cent of B2B buyers already use GenAI in their decision-making process. This technology is no longer optional. It is integrated into every stage of the buyer journey, from scanning the market to comparing vendors to validating ROI.

For startups trying to punch above their weight, this shift can either level the playing field or make you invisible. The question is: how do you ensure that when AI platforms answer, your brand is part of the story?

The media hierarchy that AI listens to

Unlike Google, AI models do not crawl the web in real time. They rely on training data and high-credibility sources. That creates a new hierarchy of influence that every startup founder should be aware of.

Mainstream media: Outlets like BBC or The New York Times set global credibility. One strong placement here can echo in countless AI-generated answers.
Industry publications: Coverage in places like TechCrunch or e27 defines trends and categories. For startups, this is often the most attainable and highest-leverage tier. A TechCrunch profile or an e27 founder story is more likely to be referenced in AI explanations of “emerging fintechs in Asia” than a single blog post on your site.
Branded thought leadership: Whitepapers and founder essays, if picked up by respected platforms, become frameworks AI repeats when offering strategic advice.
Academic and policy reports: Data-driven research remains gold. If your startup contributes to or is cited in these, you gain durable authority.
Forums and Q&A: Communities such as Reddit or Quora shape how AI models learn conversational tone. A viral founder AMA can have more downstream influence than you think.

For startups, the takeaway is clear. Visibility is not about chasing one channel. It is about showing up across the spectrum so you influence both the authoritative and conversational layers of AI.

Also Read: The agritech challenge in Indonesia: Can AI and mobile apps enhance productivity?

Why content structure matters more than ever

Startups often have fewer resources, which means your content must work harder. AI models prefer structured, example-rich material that they can reuse. Three formats stand out.

How-to guides: Step-by-step advice on how to solve a problem. For startups, this could be “How to set up cross-border payments in Southeast Asia.” AI picks these up for “how do I” queries, giving you authority by default.
Frameworks and lists: Clear models, even if simple, travel well. If your startup coins a framework such as “3 ways SMEs can digitise their logistics,” AI is more likely to replicate it in answers.
Case studies: Concrete stories with metrics. “In 90 days, our pilot customer cut costs by 25 per cent” is more valuable than aspirational messaging. It teaches AI to ground advice in evidence.

The rule for founders: if you want your insights to spread, package them in ways that machines can easily copy and humans can quickly grasp.

From SEO to GEO: Generated exposure optimisation

Startups are used to thinking about SEO. Now there is a new layer: Generated Exposure Optimisation, or GEO. This is the discipline of making sure AI platforms see, trust and repeat your story.

That means:

Strategic placements: Secure founder bylines and expert commentary in outlets that AI training data prioritises.
Thought leadership: Share unique insights that AI can adopt as reference points.
Mentions in reports: Contribute data or commentary to analyst or ecosystem reports to expand your footprint.
Answer optimisation: Position your startup in trusted sources so you appear in AI-curated responses.
Amplification: Use your owned channels to reinforce earned placements, ensuring humans and machines keep encountering your message.

We have seen this with startups we work with. One e27 story amplified across podcasts and LinkedIn ended up cited in AI responses months later. That is reach and credibility no paid ad could replicate.

Also Read: The story of an ‘accidental entrepreneur’

The amplified value of earned media

Startups cannot outspend incumbents on ads. Earned media is the smarter path. In the AI era, its value compounds.

Multiplier effect: One profile or byline can spawn thousands of algorithmic mentions.
Trust transfer: AI inherits the credibility of the sources it quotes. A mention in e27 carries more weight than your own blog.
Longevity: Paid campaigns expire. A respected article or interview can live inside AI knowledge bases for years.

For founders, this means investing in PR early is not vanity. It is infrastructure.

Where to start

Audit your assets. Do you already have:

Practical how-to guides you can publish externally?
Frameworks you can brand and share?
Case studies with measurable proof points?

If not, build them. Then target one flagship placement this quarter. For startups, even a single strong article can be amplified by AI into enduring visibility.

Final thought

PR is your megaphone. In the AI era, it does more than win human eyeballs. It teaches the algorithms that will advise your customers, investors and partners. For startups, this is not a nice-to-have. It is how you make sure your brand is heard in the conversations that shape your future.

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