GEO
September 11, 2025
The introduction of generative AI shifted the way users search for and consume information, creating both new opportunities and new obstacles for brands. In today’s article, we will focus on the newly surfaced challenges— reduced traffic from zero-click results, uncertainty around content attribution, and the constant need to adapt strategies—and how to build a stronger GEO strategy that keeps your brand visible in the era of generative search.
AI-driven search engines often provide direct answers within the interface itself. This means brands are no longer competing for blue links in SERPs alone, but also to be cited inside the generated response. So, the new challenge lies in ensuring your content is recognized and viewed as a reliable source to be cited. However, in order to achieve that, old content strategies need to be updated; without structured, entity-driven content, it’s easy to be overlooked in favor of competitors who have adapted to the new way of doing things.
With tools like AI Overviews, Chat GPT, Bing’s Copilot, and others, the percentage of zero-click searches has accelerated noticeably. These tools provide users with complete answers with one click, so this has affected their search behavior, reducing the chances that they click through to the original website. For brands, this reduces direct traffic and complicates the traditional performance metrics of SEO. And although these zero-click scenarios carry value—building brand recognition and trust when your name appears as part of the AI’s answer—the challenge remains in learning how to measure and leverage this type of exposure effectively.
AI-generated summaries often pull information from multiple sources and merge them into one concise output. While this improves user experience, it raises concerns for content creators: will their brand be properly credited? Will their expertise be visible, or will it be lost in the synthesis? This is a common GEO challenge, as not all AI systems currently provide clear links back to original sources, so some might feel like they are losing valuable traffic. However, it also presents an opportunity to gain their target audience’s trust and expand their brand awareness if they focus on delivering high-quality, entity-focused content to increase the likelihood of proper attribution.
While GEO is essential in the age of generative AI, it doesn’t replace traditional SEO. Ranking in search results, optimizing technical performance, and building backlinks remain critical for visibility across platforms. Therefore, GEO should be seen as an extension of SEO, not a replacement: together they create a comprehensive strategy that ensures content is both discoverable in search engines and utilized by AI systems. And ignoring one in favor of the other can leave gaps in visibility, making it crucial for brands to integrate both approaches.
The most effective way to navigate GEO challenges is by focusing on entities and context. By clearly defining entities in your content, you make it easier for AI to interpret and cite your work. Plus, focusing on contextual depth, such as FAQs, detailed explanations, and related concepts, strengthens your authority and improves the chance of being surfaced in generative answers.
GEO optimization faces several hurdles. The first is visibility—brands must compete not only for rankings but also for mentions inside AI-generated answers. Another challenge is attribution, since AI systems often summarize information from multiple sources without always crediting the original content. Finally, measuring performance in GEO is complex because traditional SEO metrics like clicks and impressions don’t fully capture the value of being cited in AI results.
GEO is closely tied to the rise of zero-click searches. When users receive complete answers directly within search or an AI interface, they don’t need to visit a website. For brands, this means less direct traffic but greater importance placed on visibility and brand recognition. Even if users don’t click, being featured in AI-generated responses builds authority and trust, which can influence future engagement and conversions.
Staying visible in generative AI results requires a shift in strategy. Instead of focusing on keyword density, brands should optimize around entities, user intent, and contextual depth. This means using structured data, building topical authority, and creating comprehensive content that answers questions clearly. By making content easy for AI systems to interpret and cite, brands increase their chances of appearing in summaries, gaining visibility even when clicks are limited.
No. Generative Engine Optimization (GEO) isn’t a replacement for SEO—it’s an expansion of it. Traditional SEO still drives discovery and clicks from classic search results (rankings, snippets, local packs), while GEO focuses on how AI-driven assistants (e.g., Google AI Overviews, Bing Copilot, Perplexity, ChatGPT) retrieve, summarize, and cite information.
Bottom line: Keep doing SEO. Add GEO so your brand is visible in both classic SERPs and AI-generated answers.
Generative Engine Optimization (GEO) is the practice of optimizing your content so AI search systems can correctly interpret it, trust it, and cite it in their answers. Instead of only targeting keywords, GEO prioritizes user intent, entities, and context—the signals large language models rely on to assemble accurate, helpful responses.
These practices aim to achieve higher rankings, consistent inclusion and attribution in AI-generated answers—so users encounter your brand whether they click through or not.