Stop optimizing for keywords. Start optimizing for prompts. Keywords are what people type into Google. Prompts are what people ask AI assistants like ChatGPT, Perplexity, and Gemini. They are longer, more conversational, and packed with specific intent. "best seo tool" is a keyword. "what SEO tool should I use if I am a solo founder with no budget" is a prompt. Optimizing for the keyword gets you a ranking. Optimizing for the prompt gets you a citation in an AI generated answer. That citation is your new traffic source.
Keywords vs. Prompts: The Fundamental Difference
A keyword is a compressed signal. It assumes the searcher already knows the context. A prompt reveals the full context: the user's situation, constraints, and desired outcome. According to Google's documentation on how search works, traditional SEO relies on matching keyword strings to page content. GEO relies on matching conversational intent to structured answers.
When someone asks an AI "what is the best CRM for a 5 person remote team in Europe," they are not looking for a list of CRM features. They want a recommendation based on team size, location, and remote specific needs. If your content answers that exact scenario, the AI cites you. If your content just says "best CRM tools 2025," the AI ignores you.
How to Research Prompts (Not Keywords)
You cannot guess prompts. You have to extract them. Here is the exact process I use for every piece of GEO content I write.
1. Ask the AI what people ask
Open ChatGPT or Perplexity. Prompt it: "List the 10 most common questions people ask about [your topic]." Then prompt it again: "What specific scenarios or constraints do people include when asking about [your topic]?" The AI has seen millions of conversations. It will surface the real prompts people use.
2. Mine Reddit for raw language
Go to Reddit. Search your topic in subreddits like r/SEO, r/startups, or r/SaaS. Look for posts where someone describes a specific problem. Copy their exact phrasing. "I am a solo founder with zero marketing budget, how do I get my first 100 users?" That is a prompt. Build content around that exact question.
3. Use AnswerThePublic with a prompt twist
Enter your topic into AnswerThePublic. But do not stop at the question keywords. Take each question and expand it with a real world constraint. "How to do keyword research" becomes "how to do keyword research as a non native English speaker with a limited budget." That constraint is what makes it citable.
Structure Content Around Prompt Intent
Once you have your prompts, you structure the content to answer them directly. This changes everything about how you write titles, intros, and FAQ sections.
Titles become answers
Instead of "SEO Tools for Small Businesses," write "The Best SEO Tools for a Solo Founder with No Budget." The title is a direct match to the prompt. AI systems pull the title as a citation. Make it specific enough that the AI can use it as a source without reading the full article.
Intros are the first sentence bet
According to Moz's guide on SEO fundamentals, the first paragraph is the most important for ranking. For GEO, it is even more critical. AI systems often pull the opening paragraph as the cited answer. Your first sentence must be the complete answer to the prompt. No throat clearing. No context setting. Just the answer.
"For a solo founder with no budget, the best SEO tool is Ubersuggest because it offers a free tier with keyword research, site audits, and backlink analysis that covers the basics without a credit card."
That sentence can be cited verbatim. It names the tool, the constraint, and the reason.
FAQ sections are prompt libraries
Every FAQ question should be a real prompt you found in your research. Write the answer as a complete, standalone paragraph. Do not link to other sections. The AI may pull only that FAQ block. Make it self contained.
Why This Changes Everything About Content
Keywords force you to write for a search engine that matches text strings. Prompts force you to write for a reasoning engine that matches intent. The difference is structural.
When you optimize for keywords, you write long lists, generic comparisons, and broad overviews. When you optimize for prompts, you write scenario based recommendations, constraint specific guides, and decision frameworks. The latter gets cited. The former gets buried.
I ranked RemoteStack at number one for its core keyword in weeks on a new domain with zero backlinks. That was SEO. But the content that gets cited in ChatGPT and Perplexity is the content that answers specific prompts like "what remote job boards are best for entry level developers in Asia." That is GEO.
Entity Before Content: Be a Verifiable Answer
AI systems verify the entity behind the content before citing it. If your name, bio, and social profiles do not consistently say "SEO and GEO specialist with 8 years experience," the AI hesitates. Your content might be perfect, but the AI will not cite an unverified source.
Make sure your author bio appears on every page. Link to your X account, your LinkedIn, and your other published work. According to Perplexity's approach to sourcing, they prioritize citations from authors with established topical authority. Be that author.
Specificity Is the Signal
Vague content never gets cited. "Increase traffic" is noise. "10,000 impressions in three weeks on a zero domain authority site" is a citation. When an AI sees specific numbers, timeframes, and outcomes, it treats that content as authoritative.
In every piece of content, include at least one specific result. Name the tool, the timeframe, the metric, and the context. That single sentence can be the difference between being ignored and being the top cited source.
Your Actionable Next Step
Open ChatGPT right now. Prompt it: "What are the top 5 questions a [your target audience] asks about [your topic] before making a purchase decision?" Take those five questions. Write a 300 word answer for each one. Publish it as a single page. That is your first GEO optimized asset.
Do not touch a keyword research tool until you have done that.