Generative Engine Optimization: What Is it and How it Works

Generative engine optimization is quickly becoming an essential online marketing strategy. Let’s look at what it is and how your business can invest in it.

Author:Quinn Schwartz
Quinn Schwartz

Digital marketing encompasses a wide range of areas, but few have had as significant an impact on online visibility as search engine optimization (SEO). Now, a new discipline is emerging alongside it: generative engine optimization (GEO).

GEO is still in its early stages, but it’s already reshaping how brands present themselves online. The rise of large language models (LLMs) and AI assistants means visibility isn’t just about ranking on Google anymore. It’s about being cited, surfaced, and represented accurately in AI-generated answers.

Yet many marketers still don’t know what GEO is, let alone how to invest in it. For brands that depend on discovery and awareness, that knowledge gap comes with real risk and opportunity.

What is Generative Engine Optimization?

At its core, generative engine optimization ensures your brand is visible, accurate, and influential within AI-generated answers. Just as SEO matters for ranking on search engines, GEO does the same for AI answers.

The process focuses on helping generative engines—primarily large language models (LLMs) and AI assistants—recognize, surface, and cite your brand in the answers they give to users. It’s essentially a way to rank in these AI answers.

To put it bluntly, SEO optimizes for pages while GEO optimizes for AI answers.

Both of these have more than a bit of overlap, but there are also several notable differences between them. That’s especially true regarding the actual optimization process and steps that need to be taken.

How GEO Differs From SEO

It’s tempting to think of GEO as the next iteration of SEO, but that isn’t the case. This is somewhat of an oversimplification, and the two processes have more significant differences.

Both of these can be best summed up:

  1. SEO is about achieving visibility in a list of search engine results. You create content, optimize it, and measure traffic based on the results.
  2. GEO is about visibility inside the answers themselves. Instead of hoping for a click, the goal is to be cited, quoted, or referenced in an AI answer.

The key difference here is continuity rather than replacement. SEO still matters and is still a primary discovery channel. However, GEO is a new layer of optimization that builds upon your existing SEO efforts.

In practice, business owners and marketing professionals must focus on both. Strong SEO strategies can feed into your GEO efforts, but GEO itself takes everything one step further. It focuses solely on AI-specific behaviors and answer-generation patterns.

Why GEO Matters Now

Many businesses are still trying to master SEO, so it’s fair to ask: why invest in GEO now? Given the novelty of generative AI, it’s natural to question the urgency and wonder why brands should act on it already.

More than a few factors play a role in this, with the most notable being:

  • Traffic Loss from Zero-Click Results: Google’s and other search engines’ AI overviews and AI-generated answers are leading to an increasing number of zero-click search results. These cost you traffic. If you don't optimize for GEO, you miss out on potential visibility.
  • AI Shapes Brand Narratives: Generative AI models don’t just present facts. They also summarize opinions, reviews, and other online commentary. If you’re not represented, these results could give an incomplete or inaccurate view of your business.
  • Citations Influence Discovery: Even when people don’t click on a reference in an AI summary or answer, there are still plenty of benefits to AI surfacing your brand. It leads to more trust, enhances credibility, and improves brand recall. These impressions matter for future discovery and sales.

These can each make generative engine optimization increasingly important. The impact of missing out could become increasingly great as time passes.

However, this raises the question of what businesses can actually do about it. It’s not just a matter of taking the same approach as with SEO. As similar as they can be, their key differences mean you’ll have to take a different approach..

What GEO Involves: The Four Pillars

Just like with search engine optimization, generative engine optimization involves focusing on the right areas so that you can properly surface in search results. Broadly, this can be broken down into four key pillars. Focusing on them from the start gives a business the best chance possible of turning up in AI results.

These pillars are:

Visibility Tracking

You can’t optimize what you can’t measure. GEO starts by monitoring how often and in what contexts your brand appears in AI-generated answers. Figure out when and where you’re appearing, what kind of questions trigger it, and whether your competitors are surfacing in the same answers.

Content Optimization

Content still matters, but the emphasis has somewhat shifted for GEO. Instead of keyword density and placement, you’re prioritizing different areas. These include clarity, authority, and structured information, each of which can be easily analyzed and surfaced by LLMs.

Technical Setup

Schema markups and sitemaps have always mattered in SEO. With GEO, however, the more technical side really shines. This includes structured data, clean site architecture, and metadata that help generative engines identify your brand as a credible source.

Authority and Citations

Credibility comes from the greater web in AI environments. If other trusted sites reference and link to your website, AI is more likely to surface your brand. Authority from the content ecosystem outside of your website is crucial for GEO and optimizing your chances of success in generative search.

The Stakes For Brands

The implications of GEO can’t be understated for business owners and companies. This is evident in several ways, particularly if your company neglects its strategy. Repercussions manifest in various ways, but that’s especially true of a few specific ones.

These include:

  • Misrepresentation: If AI systems summarize outdated or inaccurate content, your brand story and narrative could be distorted.
  • Invisibility: If you’re not cited, you’re effectively invisible to people using generative AI platforms to perform searches related to your kind of business.
  • Loss of Influence: Businesses that invest in GEO now will reap the rewards, so you could end up losing much of your influence if you don’t invest in it.

Think of it as how people looked at SEO when it first started becoming common. Those who waited until it was too late had a lot of catching up to do.

It’s the exact same with GEO. Failing to put in the effort now could mean lost revenues and needing to catch up with your competitors later on. Your business is much better off putting the time and effort into it now.

Future Outlook

Generative engine optimization may still be new, but it isn’t a passing experiment. It’s quickly moving from an early-adopter tactic to a foundational requirement for digital marketing.

Brands are already learning that visibility in AI-generated answers determines how customers discover, evaluate, and trust them. Just as SEO became non-negotiable for ranking in search results, GEO is becoming non-negotiable for showing up in AI.

This has already been observed with numerous forward-thinking brands and digital marketing professionals. These specialists already:

  1. Monitor AI answer visibility.
  2. Create GEO-friendly content frameworks.
  3. Build authority through citations and third-party mentions.

This is in addition to their SEO and other digital marketing strategies, some of which may overlap with their GEO efforts. These companies position themselves for increasingly long-term success.

Conclusion

While GEO is still in its early days, it doesn’t mean it isn’t making waves. Generative engine optimization is another way to help improve online visibility, establish trust with potential customers, and achieve more. However, it remains a challenging area to navigate.

Many brands still aren’t sure how to take advantage of it, how it relates to SEO, and have similar questions. As a marketing channel, however, it could be vital.It’s essential to help you surface in AI-generated answers related to your kind of business and the types of products and services it offers. It’ll be increasingly important going forward, making it vital for businesses to invest early.