Snowy Mountains

Creating content that works for people and AI

How to optimize your GEO strategy from a content perspective

Kathrine Pascua

Kathrine Pascua

Content Practice Lead, Vaimo

AI

CMS (content management system)

5 min read

The lines between storytelling and search optimization are blurring. As generative engines reshape how people discover information, brands need content that resonates with humans and performs in AI-driven results. 

When someone asks ChatGPT or Perplexity for a recommendation, they're not scrolling through ten blue links: they're getting a single, synthesized answer. If your content isn't structured to be understood, cited, and trusted by these systems, you're losing the conversation entirely.

Here's the opportunity: the principles that make content work for generative engines are the same ones that make it work for people. Clarity. Authority. Helpfulness. When you get those right, you're building something that earns trust, no matter where it shows up.

So where to start with generative engine optimization (GEO)? We asked Kathrine Pascua, Content Practice Lead at Vaimo, to share her insights.


TL;DR: How to optimize content for GEO

  • Storytelling and structure aren't enemies, they need each other. Write for humans first, then use technical markup to help machines understand what you've built.

  • Show your expertise, don't just claim it. Name contributors, link to credible sources, and build authority where AI is already looking, including places like industry forums and review sites.

  • Think in ecosystems, not one-off pieces. Guides, comparisons, and educational content work because they help users decide and give generative engines the structured information they're looking for.


How do you balance storytelling for humans with structure for machines?

You balance storytelling and structure by writing for humans first, then applying technical markup and clear formatting so AI systems can interpret the content accurately. The content should stand on its own; the markup just makes it easier to find. 

However, this is something many brands struggle with. They often focus on one or the other, but storytelling and structure need to work together. One builds trust with people. The other helps machines surface that trust.

Let’s take a recent audit for a sporting goods brand as an example. Their structure was solid: clear headings, organized sections, all the technical pieces in place. But the storytelling fell flat. Most of the copy focused on specs (such as materials, dimensions, features), but it didn't connect those details to what they actually mean for the person using the product.

It was clear that the opportunity was about bringing meaning into the structure that already existed. Turning features into benefits. Showing what craftsmanship looks like in practice. That kind of storytelling builds trust with people, but it also signals authority and differentiation to generative engines.


How can brands show expertise in ways that generative engines recognize?

Brands can signal expertise to generative engines by making their credibility explicit and visible, for example, by: 

  • Naming the experts or contributors behind your content

  • Linking to credible studies or data

  • Using reviews, awards, or certifications as proof points

Combining clear authorship with structured markup sends strong trust signals to both people and AI. There's a big difference between saying you're an expert and actually showing it.

Most brands have deep expertise. It lives in their teams, their research, and their partnerships. But it's often buried in internal knowledge or tucked away where users and engines can't see it.

It's also worth remembering that AI doesn't just learn from your website; it pulls from everywhere. Run a few customer scenarios in ChatGPT or similar tools and see which sources come up. Often industry forums, niche review sites, and user-generated content are also cited. If so, that's your signal to build authority and contribute to such platforms, because those are exactly the places generative engines are already looking.


Why do guides, comparisons, and other helpful formats work so well for both conversion and GEO?

These formats work because they do two things at once: they help users make confident decisions, and they give generative engines the kind of structured, intent-based information they're designed to surface.

In audits we've run, we see the same pattern over and over. Brands describe products or services in isolation. They explain what something is, but they don't connect the dots. When you add buying guides, Q&As, or side-by-side comparisons, you're creating content that's easy to scan, focused on answers, and retrievable by both search and AI.

It also builds trust. You're not just selling, you're helping. And that's what users want: guidance, reassurance, clarity about what's right for them. From both a conversion and a GEO perspective, these are some of the most efficient, high-impact content types a brand can invest in.


How can teams adapt their content creation processes to align with both SEO and GEO principles?

The biggest shift teams can make to align with both SEO and GEO is to stop thinking in terms of one-off pieces. What you're really building is a connected content ecosystem. Product pages, guides, and articles should reinforce each other through internal links, shared data, and consistent storytelling. When content works like an ecosystem, it performs better across both search and generative results.

Traditionally, SEO and content creation lived in silos. One person researched keywords. Someone else wrote the copy. Technical optimization happened at the end. GEO changes that. It needs a more integrated process, where teams plan around user intent and structure content so it's reusable, consistent, and machine-readable from the start.

That means getting alignment early, from schema to governance. It also means collaboration. SEO, UX, and content teams need to work together to make sure content builds authority and trust, not just traffic.


The key takeaway

Structure, authority, and authenticity work best when they're intentional and built into the process from the start, not layered at the end. That's what lets content perform consistently, no matter how search or generative engines evolve.

The shift to GEO isn't just a tactical adjustment. It's a rethinking of how content works, who it's for, how it's structured, and what signals it sends. Get that foundation right, and the rest follows.

Are you following best practices today and optimizing your GEO efforts from a content perspective? Vaimo can help you find out. 

Find a GEO audit that fits your brand’s ambition >

Frequently asked questions

SEO optimizes content to rank in traditional search engines. GEO prepares it to be understood, cited, and surfaced by AI tools like ChatGPT, Perplexity, and Google AI Overviews. The fundamentals overlap: clarity, authority, and helpfulness matter in both. But GEO requires more deliberate structure because generative engines need to easily extract and package your content before synthesizing it into a single answer.

They work together. GEO builds on the technical foundations you have already invested in and adds a layer of intentionality around how content is written, attributed, and structured for AI systems. Brands that treat them as separate strategies will fall behind. The ones that integrate them will have a significant advantage.

Start by running searches in ChatGPT or Perplexity using the questions your customers actually ask. If competitors or third-party sources consistently come up instead of you, your content may lack the structure or depth that generative engines need to retrieve and surface it as an answer. A GEO audit gives you a clearer picture of your content quality and AI-driven discoverability, and provides concrete recommendations for improvement.

Schema markup is structured code that helps machines understand what your content is about. In the context of generative search, it increases the likelihood that your content is accurately interpreted, selected, and surfaced in rich results, answer boxes, and AI-generated responses. The harder part is applying it strategically: marking up the right content to reinforce your key messages, entities, and areas of authority.

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