Artificial intelligence and search engines are both extremely important factors in website optimization — but their roles and purposes differ in key ways. In this article, we’ll take a closer look at two timely approaches: LLM seeding (a term that doesn’t yet have a Finnish equivalent) and search engine optimization (SEO). What do they mean, how do they differ, and why can combining them bring significant benefits to your business?

In this article, you’ll learn:

• What LLM seeding means
• What SEO (search engine optimization) means
• How LLM seeding and SEO support each other
• What benefits they provide together

What Is LLM Seeding?

LLM seeding (Large Language Model seeding) refers to “training,” “feeding,” or “priming” a large language model with your company’s own content. In practice, this means giving the AI access to materials such as:

• Instructions and process descriptions
  
• Infographics
  
• Website content
  
• Documents
  

But above all — ready-made answers.

The goal of LLM seeding is to make your website an appealing and easily understandable source for AI assistants that are searching for information on behalf of users. Since information retrieval is evolving rapidly, your website should be structured not only for human readers and search engines but also for AI assistants.
Instead of typing “llm seeding” into Google and choosing one of the top ten results, users can now ask their assistant “What is LLM seeding?” — and in the best-case scenario, the assistant will quote this exact blog post and link directly to it as the source.

What Is Search Engine Optimization (SEO)?

Search engine optimization is the process of improving your website’s content and structure so that it appears more prominently in Google and other search engine results. SEO focuses on:

• Using keywords effectively (both organically and in paid ads)
  
• Ensuring content quality and relevance
  
• Technical performance (speed, mobile-friendliness)
  
• Internal and external linking structures
  

The goal of SEO is straightforward: to increase organic traffic and attract potential customers to your website.
Like LLM seeding, SEO is not a one-time project but an ongoing, multifaceted effort. It’s crucial to keep your website technically healthy, plugins updated, and mobile experience top-notch. You should also monitor search trends, compare keyword variations, and update older content accordingly.
Since Google generates most of its revenue through ads, paid search also plays a significant role in overall SEO.

How Do LLM Seeding and SEO Support Each Other?

Although LLM seeding and SEO serve different purposes, they can reinforce one another in powerful ways:

SEO-friendly content serves as excellent AI training data. When your website content is clear, structured, and relevant, it helps large language models understand and reference it. Both AI systems, search engines, and users appreciate FAQs, top 10 lists, comparisons, and tables.

AI trained on large language models can help with SEO. AI assistants can quickly generate SEO-optimized texts, meta descriptions, and blog articles. However, keep in mind that content generated by AI isn’t necessarily ideal for AI training itself! Even an average reader can often tell whether a text was written by a human or an AI.
Since AI aims to sound as human as possible, it relies heavily on authentic human-created content to improve its models. This is especially true in Finnish, where AI still struggles with unnatural sentence structures and awkward translations from English.

Together, they enhance the user experience. Customers can find your business more easily through search engines and receive accurate, well-referenced answers from AI — even if your page isn’t among the top ten results.

When an AI assistant quotes your content and links back to your site, it can increase your overall traffic — which, in turn, improves your site’s ranking in search engines. On top of that, you’ll gain a valuable backlink from a reputable source, such as chatgpt.com.

In short, the more clear, high-quality content you produce, the more likely you are to attract traffic from both humans and machines.

What Are the Benefits of LLM Seeding and SEO?

When a company leverages both LLM seeding and SEO, it almost always achieves better visibility results. As mentioned earlier, SEO focuses on ranking your site as high as possible for specific search queries, while LLM seeding focuses on providing the best possible answer to a user’s question.

AI assistants such as Gemini, Copilot, ChatGPT, and others have not yet replaced traditional search engines — even though Google is integrating more AI-driven features into its own search tools. Our educated guess is that this won’t change drastically in the near future, since user behavior evolves relatively slowly. As the next generation enters the workforce, the balance may shift — but there’s still plenty of time to prepare.

For content creators, this shift has introduced both pressure and opportunity. AI was initially feared as a threat that would take over content production with astonishing speed. However, it’s now clear that AI still needs significant help — and only skilled human creators can provide it.

So let’s roll up our sleeves — there’s more work to do than ever.
If you need training on this new era of website optimization, we can help.
Or, if you’d rather focus on your own area of expertise, we’ll provide the extra hands you need to handle the optimization for you.