Indonesia Singapore ไทย Pilipinas Việt Nam Malaysia မြန်မာ ລາວ
← Back to Blog

Vibe Coding and AI Authority: Martech's New Power Shift

Marketers who build lightweight AI-assisted tools in-house and optimise for AI citation will own the next infrastructure cycle before vendors catch up.

A marketer at a workbench assembling a custom martech stack from modular components, with AI-generated blueprints floating above
Illustrated by Mikael Venne

Vibe coding and AI-citable content are rewriting martech's rules. Here's what the infrastructure shift means for SEA digital teams in 2026.

The buy-or-build debate in martech has always been a proxy for a deeper question: who controls the stack? In 2026, that question just got a lot more complicated — and a lot more interesting.

Two forces are converging simultaneously. AI-assisted development is putting custom tooling within reach of marketers who couldn’t write a line of production code two years ago. And the information layer that feeds AI systems is being repriced from the ground up. For digital teams across SEA, both shifts carry infrastructure-level consequences.

Vibe Coding Is Redrawing the Buy-or-Build Line

MarTech’s Steve Petersen frames it cleanly: AI coding tools now let marketers fill genuine product gaps in their stack without waiting on vendor roadmaps. The term “vibe coding” — building functional software through natural language prompts and iterative AI collaboration — is no longer a novelty. It’s an emerging operational discipline.

The implications for martech procurement are significant. For years, the build option was effectively off the table for most marketing teams: too slow, too expensive, too dependent on scarce engineering resources. That calculus is shifting. A growth team in Jakarta or Manila can now prototype a custom attribution layer, a lightweight CDP connector, or a localised consent management widget in days rather than quarters.

But Petersen’s framing also carries a warning: building means owning. Security, compliance, maintenance — those responsibilities don’t disappear because the code was generated by an AI. In SEA’s fragmented regulatory environment, where data localisation requirements differ between Thailand, Indonesia, and Vietnam, that ownership burden is non-trivial. Teams reaching for vibe coding as a shortcut need a governance model ready before the first line ships to production.

AI-Citable Authority Is the New Domain Authority

While engineering debates are evolving, so is the content layer. MarTech’s Stephanie Miller outlines a 90-day framework for building what she calls “AI-citable authority” — the kind of structured, original, cross-channel content that AI systems actively surface in responses rather than summarise and discard.

The strategic logic tracks closely with what identity and signal professionals already understand: first-party data and proprietary research create durable competitive moats. The same principle now applies to content. Brands that publish original survey data, build embeddable tools, and syndicate structured insights across platforms are training AI models to treat them as primary sources — not paraphrased footnotes.

For SEA brands operating in multilingual markets, this creates both a challenge and an opening. English-language AI training data remains dominant, but Bahasa Indonesia, Thai, and Vietnamese content is underrepresented in most large language models. A brand that builds authoritative, well-structured content in these languages now isn’t just serving local audiences — it’s potentially becoming the default citation for an entire language segment as AI retrieval matures in those markets.


The IAB’s Payment Proposal Is an Infrastructure Moment

Underpinning both of these shifts is a quieter but consequential development. The IAB Tech Lab has proposed new payment rails for AI systems that consume publisher content — essentially arguing that when an AI model ingests and deploys a publisher’s work, that transaction should carry a price signal.

As MarTech’s Constantine von Hoffman reports, the proposal aims to formalise what has until now been an ungoverned extraction economy: AI training and retrieval drawing on content created at significant cost, with no compensation mechanism in place.

From an AdTech infrastructure perspective, this matters beyond the publisher-AI relationship. If the IAB’s framework gains traction, it creates a precedent for valuing information at the point of AI consumption — not just at the point of human click. That has downstream implications for how brands think about content investment, how agencies price content strategy, and potentially how programmatic systems evolve to handle AI-intermediated inventory.

The timeline for adoption is unclear. IAB proposals often move slowly from concept to standard to enforcement. But for teams building cookieless identity strategies and clean room frameworks, the signal is familiar: the infrastructure is being negotiated now, and the brands paying attention will have a meaningful head start.

What This Means for Your Stack Decisions Today

These three threads — custom tooling via vibe coding, AI-citable content investment, and the emerging payment layer for AI content access — are not separate conversations. They’re facets of the same underlying shift: the rules governing how marketing infrastructure is built, how authority is established, and how information is valued are all being rewritten in parallel.

For SEA digital teams, the practical priorities look like this. First, audit your stack for gaps that vendors have deprioritised for your market — localisation features, regional platform integrations, consent frameworks built for PDPA or UU PDP rather than GDPR. Those are the highest-value candidates for vibe coding pilots, provided you have governance in place. Second, treat original research and structured data as infrastructure spend, not content spend — the ROI case now extends to AI discoverability, not just SEO rankings. Third, watch the IAB proposal closely, particularly if your brand has significant content assets or agency relationships with publishers. The payment rails being proposed today will shape vendor conversations in 12 to 18 months.

The playbook for this environment hasn’t been written yet. But the teams drafting it in the next 90 days will have a compounding advantage over those waiting for it to arrive pre-packaged from a vendor.

As AI systems become the primary interface between brands and audiences, what does it mean for marketing strategy when the algorithm deciding what gets cited is no longer trained on clicks — but on structured authority signals you may not yet be producing?

A marketer at a workbench assembling a custom martech stack from modular components, with AI-generated blueprints floating above
Illustrated by Mikael Venne
Rogue Grizzly

Written by

Rogue Grizzly

Operating at the contested frontier of cookieless targeting, clean rooms, and identity resolution. Comfortable where the infrastructure is shifting and the playbooks have not yet been written.

Enjoyed this?
Let's talk.

Start a conversation