How to Do SEO Keyword Research for the AI Era

The landscape of search is undergoing its most radical transformation since the invention of the crawler. For years, the goal of search engine optimization keywords was simple: rank in the "ten blue links" to earn a click. However, recent data suggests that roughly 80% of searches now end without a click, as users find their answers directly on the results page or through AI-generated summaries.

To improve SEO today, you must look beyond mere rankings. You need to identify the language that powers classic organic results, featured snippets, and the conversational prompts used in AI assistants. This guide explores how to do SEO keyword research that captures attention in both traditional search and the emerging world of Generative Engine Optimization (GEO).

Understanding the Shift to Answer-Based Search

The rise of AI Overviews and assistants like ChatGPT has shifted the focus from keywords to "intents." Research indicates that AI assistants are expected to handle approximately 25% of global queries by 2026, moving discovery toward conversational answers. In this environment, the goal isn't just to be listed; it is to be the primary source the AI quotes.

Strategic SEO now requires a "topic cluster" approach. Instead of targeting isolated phrases, successful marketers build topical authority by creating a pillar page supported by multiple articles that answer every conceivable question a user might ask an AI. This method ensures that even if a user doesn't click a link, your brand remains the authoritative voice behind the information provided.

Step 1: Building Your Seed List

The first step in choosing SEO keywords is gathering a "seed list" of foundational terms. Start with your own data and customer interactions:

• Google Search Console: Analyze which queries are already driving impressions. Look for long-tail variants where you have a "foot in the door" but haven't yet secured a top position.
• Customer Support & Sales: What specific questions do your buyers ask? These real-world queries often reflect the conversational language used in AI prompts.
• Competitor Analysis: Use tools like Semrush or Ahrefs to identify which keywords are driving the most value for your competitors. Pay close attention to their high-performing "how-to" guides and FAQ sections.

Step 2: Categorizing Search Intent

Not all keywords are created equal. When planning how to do SEO for a website, you must categorize your list by intent to ensure your content matches the user's needs:

1. Informational: "How can I do SEO?" or "What is GEO?" (Target these with educational blog posts).
2. Commercial: "Best SEO planning tools" or "Terradium vs. Semrush." (Target these with comparison guides).
3. Transactional: "Buy SEO software" or "SEO agency pricing." (Target these with landing pages).
4. AI-First/Conversational: Complex, multi-part questions like "How do I optimize my blog to be cited by ChatGPT?"

Focusing on commercial and transactional intent often yields a higher ROI, even if the search volume is lower, because these users are closer to a purchasing decision.

Step 3: Expanding with AI and GEO Research

Traditional keyword tools are excellent for search volume, but they often miss the nuance of how people talk to AI. To capture "answer-ready" opportunities, you need to identify the specific prompts your audience uses within Large Language Models (LLMs).

This is where specialized platforms become essential. Terradium helps you find the exact questions your buyers ask AI assistants, clustering them into article-ready topics. Rather than guessing what might work, you can use a research database to surface the prompts where being the cited source actually matters. By focusing on these clusters, you transition from "guessing keywords" to "owning answers."

Step 4: Local SEO Keyword Research

For businesses with a physical presence, local SEO keyword research is a distinct necessity. Users often search for "near me" or specific city names. However, AI-driven search often interprets location implicitly.

To choose the best keywords for local SEO, combine your core service with geographic modifiers (e.g., "SEO agency in New York"). Additionally, optimize for "near me" intent by ensuring your Google Business Profile is robust and your site includes localized Schema markup. This helps AI engines verify your proximity and authority for local queries.

Step 5: Content Creation and Optimization

Once you have chosen the right keywords for your website, the execution phase begins. To be the source AI quotes, your content must be structured for clarity and "cite-ability."

• Direct Answers: Place a clear, concise answer to the primary question at the very beginning of your article.
• Structured Data: Use H2 and H3 headings to break down sub-topics, making it easy for both Google and AI agents to parse your information.
• The Power of Agents: Maintaining a consistent publishing schedule is the hardest part of SEO planning. Terradium simplifies this by using a four-agent pipeline (Coordinator, SEO Research, Writer, and Improver) to draft articles specifically built to be cited. This system ensures your content is not only SEO-optimized but structured in the way AI engines like Perplexity and Gemini prefer to quote.

Measuring Success in a Zero-Click World

Traditional metrics like "rankings" are becoming less reliable as search becomes more personalized and AI-driven. According to recent SEO trends, the industry is shifting toward "visibility" rather than just position. To truly understand how to get SEO for your website, you must track "AI Visibility."

You should monitor your appearance rate and citation share across ChatGPT, Perplexity, Google AI Overviews, and Gemini. Because AI-referred visitors often appear as "direct" traffic in standard analytics, using tools that can attribute these visitors is vital. Terradium’s embed SDK allows you to classify which visitors arrived from an AI answer, proving the value of your GEO efforts.

Effective keyword research in 2026 is no longer about finding a single "magic" word. It is about understanding the entire ecosystem of questions your audience asks and positioning your website as the definitive answer. By combining traditional keyword data with AI visibility tracking, you can ensure your brand remains visible, cited, and authoritative—no matter how the search engine evolves.