Building brand visibility in an AI-driven world

As AI reshapes brand visibility through LLM chatbots and intelligent assistants, marketers who once optimized for clicks and wrote primarily for humans now need to adjust strategies to be discovered by AI agents and read by bots.

The rise of generative AI, from ChatGPT to Gemini, is changing how people discover and evaluate brands. Increasingly, users are no longer scrolling through 10 blue links. They are asking conversational questions and receiving curated, single-screen answers drawn from multiple sources: Websites, reviews, analyst reports, media coverage and social commentary.

AI is not just scanning what you say about yourself — it is drawing from what others say about you.

Why mentions matter

Mentions have always been valuable, but in the AI era they are critical. When a model generates an answer, it seeks signals of credibility and context. Third-party voices such as media articles, analyst notes, expert commentary and authentic reviews carry weight because they are perceived as more independent than brand-owned content.

For consumers, mentions serve as social proof. For brands, they reinforce reputation, build trust and influence how AI systems describe them. The absence of mentions can produce silence in AI-driven discovery, while inaccurate mentions can amplify misrepresentations at scale.

In B2B tech, firms that consistently contribute expert insights to industry media often see themselves cited in analyst briefings and AI-generated summaries. Competitors who rely solely on self-published blogs often fail to appear in these conversations.

In travel and lifestyle, hotels with steady coverage and authentic guest reviews are recommended more frequently in AI travel planners. By contrast, properties with polished websites but little third-party visibility risk being overlooked.

The lesson: it is no longer enough to tell your story well — others need to be telling it too.

Traditional SEO remains important, but AI discovery requires an expanded playbook: How often does your content surface in AI summaries? Are your insights being cited in third-party commentary? Is your site structured with metadata, schema, FAQs and summaries that AI tools can easily scan?

There are upsides: AI-driven discovery is fast, conversational and levels the field for brands who excel in narrative and credibility, not just technical SEO.

But risks remain. Mentions can misrepresent, the “source of truth” is diffuse and brands with little third-party visibility may fall behind. This is why monitoring mentions — and addressing inaccuracies quickly — is now part of brand protection.

Building for the mention economy

The shift underway is not about abandoning SEO but complementing it with GeO — Generative Engine Optimization. It asks a simple question: When AI agents summarize your market, do they include you?

This is where authentic, independent content plays a decisive role. Brand websites remain destinations to showcase depth and experience, but discovery increasingly depends on distributed trust: third-party mentions, expert validation and story-driven coverage.

Keep creating for humans, but optimize for AI agents too. Success will come from striking that balance — structured, machine-readable content on your own site, coupled with credible voices talking about you across the wider ecosystem.

Brands that invest now in building authentic visibility beyond their own walls will be the ones shaping AI-powered conversations tomorrow.

Human in the loop

As we increasingly outsource decisions to LLM models, our agency to think is reduced. Maintaining a human-in-the-loop approach is essential to mitigate AI slop and hallucinations, where meaningless content is churned out and points of view are erased because AI systems do not see or comprehend them. The human-AI-human model ensures agency and authenticity, and prevents AI’s surface-level polish from becoming generic or simply wrong.

• Lina Tayara is a consultant to the digital infrastructure industry, driving business development, market research and thought leadership through her platform, Let’s Talk Tech.