In a rapidly evolving digital landscape, humans are no longer the primary interpreters of online information — machines are stepping in to answer questions, make recommendations, and guide decisions on behalf of consumers. This seismic shift, driven by generative AI engines like ChatGPT, Gemini, and Perplexity, is transforming how brands connect with their audiences, according to Charne Munien, Strategy Director at award-winning South African digital agency Rogerwilco.
Munien, an IAB Bookmarks Black Pixel winner and seasoned digital strategist, highlights that for the first time since the internet became mainstream, customers are turning to AI for trustworthy answers rather than traditional searches. “Your customers are not just searching online anymore — they are asking questions and believing the answers they receive,” she explains. “Generative engines are becoming recommenders, decision-makers, and trusted voices.”
The challenge for brands is clear: most still prioritize content creation for human readers and platforms, with AI considerations often an afterthought. Valuable thought leadership is frequently locked away in internal decks, PDFs, or paywalled publications — inaccessible to the AI systems now shaping consumer perceptions. This creates a “credibility paradox,” Munien notes.
“Brands invest heavily in thought leadership, then lock it away from the systems now mediating consumer decisions. If your content is designed for campaigns rather than clarity or locked behind systems AI cannot access, you are not just invisible — you are being defined without your input.”
Looking ahead to 2026, Munien offers three key predictions for brands to prepare for this new reality:
Brands need to speak machine language. Generative engines increasingly rely on structured feeds, transactional data, and partner APIs. Without reliable, machine-readable datasets, brands risk being overlooked. “Ownership of your brand dataset becomes the single biggest determinant of AI visibility,” Munien asserts. “If you are not structured, you are not discoverable.” This means aligning CRM systems, email templates, and support documentation with consistent, standardized language.
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The first AI citation is worth 5-10x a click. With AI responses featuring few explicit sources, the goal shifts from ranking in traditional search to securing the “AI answer slot.” Brands should target high-value prompts — the 50 to 200 most relevant questions in their industry — and craft short, evidence-dense snippets. Metrics will evolve from click-through rates to citation rates, first-slot share, and prompt coverage. “Being mentioned by an AI engine may not result in an immediate click, but it builds trust at the exact moment of decision.”
AI-powered commerce will rewrite the customer journey. Tools like Instacart’s instant checkout and PayPal’s integration with OpenAI’s shopping features show AI assistants recommending and transacting in one seamless flow. For brands, this demands real-time, API-ready product feeds with accessible inventory, pricing, and shipping data. “Winning the AI recommendation will directly influence sales,” Munien warns. “Brands that are not technically integrated will be functionally invisible.”
Munien describes this shift as Generative Engine Optimization (GEO) — not just a tactical tweak, but a fundamental mindset change. Brands must prioritize clarity over volume, recognizing that without intentional design, AI interpretation can introduce reputational risks or missed opportunities.
In South Africa, where GEO is still emerging, Munien sees a unique window for leadership. “Early adopters will define their category narratives before AI does it for them,” she says. “In a world where machines increasingly answer on our behalf, the question is not whether AI will speak about your brand. It is whether it will speak accurately, ethically, and in your favour.”
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