GEO & SEO: How to Invest Your Time and Efforts Wisely
▼ Summary
– Large language models (LLMs) rely on retrieval-augmented generation (RAG) to stay current, as their training data has a fixed cutoff date and updating it is costly and complex.
– Traditional SEO remains the priority for visibility in generative search, since RAG citations heavily depend on ranking in the top results of search engines like Bing and Google.
– Technical optimizations for GEO include implementing schema markup, maintaining clean XML sitemaps, ensuring JavaScript fallbacks, and addressing technical debt to improve website performance and LLM compatibility.
– Brand-related tasks, such as consistent descriptions, press mentions, and entity signals, are essential for strengthening visibility in both traditional and generative search environments.
– Investment in GEO should complement traditional SEO efforts, with a focus on gradual improvements and stakeholder education, rather than immediate, large-scale shifts in strategy.
Generative engine optimization (GEO) represents the next frontier in digital marketing, capturing the attention of SEO professionals and decision-makers alike. With budget holders often skeptical of emerging trends, the question remains: how much time and resources should be allocated to GEO in an environment dominated by large language models (LLMs)? The answer isn’t straightforward, but a strategic approach can help marketers invest wisely.
LLMs such as OpenAI and Gemini face a significant challenge: their training data has a fixed cutoff date, making real-time information inaccessible through training alone. For instance, GPT-5’s knowledge is current only until September 2024. To bridge this gap, these models use retrieval-augmented generation (RAG), a method that allows them to pull live or cached web data during responses. ChatGPT relies on Bing, while Gemini draws from Google Search. This process, sometimes referred to as “grounding,” enables LLMs to deliver timely answers despite static training sets.
For SEO specialists, this means traditional SEO remains the foundation for visibility in generative search. Research indicates that nearly half of ChatGPT queries trigger a search, and about 90% of citations come from Bing’s top 20 results. If your brand isn’t ranking well organically and lacks broad digital presence through press mentions and directories, appearing in AI-generated responses will be an uphill battle.
Looking ahead, forward-thinking marketers should prepare for a landscape where generative search drives most traffic. In such a scenario, websites will function largely as data sources for LLMs. Strengthening brand identity and technical infrastructure is essential. This includes optimizing entity signals, maintaining consistent brand descriptions across platforms, and ensuring your site is technically sound.
Execution efforts can be divided into technical and brand-oriented tasks. On the technical side, implement thorough schema markup, not because LLMs use it directly, but because it helps search engines understand your content’s context and relationships. Improve technical copywriting on category pages, ensuring product listings are clear and structured. Keep XML sitemaps clean and error-free, as they serve as a roadmap for crawlers. Address JavaScript fallbacks and reduce technical debt by updating codebases, removing deprecated scripts, and improving site performance.
Brand tasks involve creating detailed “About” pages with leadership profiles, company history, and social responsibility initiatives. Claim and optimize your Google Knowledge Panel, pursue regular press coverage, and if applicable, maintain an up-to-date Google Business Profile. Submitting for a Wikipedia page once notability is established can also reinforce authority.
When it comes to investment, dedicate most resources to traditional SEO while allocating a smaller portion, around 20%, to GEO-focused activities. Prioritize incremental improvements like fixing internal links, cleaning up sitemaps, and correcting heading hierarchies. These efforts not only support current SEO performance but also build a foundation for AI-driven search.
Establish regular reporting to keep stakeholders informed and aligned. This ensures that when shifts in generative search occur, your organization is prepared to adapt. Treat GEO not as a replacement for SEO, but as a complementary strategy that enhances technical and brand resilience for the future.
By balancing immediate SEO needs with forward-looking GEO preparations, marketers can navigate the evolving search landscape with confidence and efficiency.
(Source: Search Engine Land)
