Semji

How to define a prompt in GEO?

GEO is changing the usual rules of visibility. Generative engines no longer stop at showing links: they synthesize, rank, and answer in the user’s place.

But how do you define a prompt that can get you into those answers? And how do you understand the intents that now shape search?

This guide gives you a simple method to identify your prompts, optimize your content, track your presence in AI answers, and build a solid GEO strategy.

What is a prompt in GEO?

A GEO prompt expresses a complete intent, written in natural language, as if the user were talking to artificial intelligence. That logic moves away from the isolated keyword. It relies on real, conversational wording.

The prompt then becomes an instruction (prompt engineering) that AI engines use to produce a structured answer. This approach changes how you optimize content and requires a new way of thinking about organic search.

From a keyword logic to a prompt logic

GEO takes you from keyword-centered search to search driven by a formulated, conversational intent. Users no longer type “HR software pricing”. They ask: “Which HR tool should I choose for a small business?”

That shift changes how you optimize content and the role of SEO in next-generation search engines. Generative Engine Optimization is not only a technical improvement. It introduces a logic based on real needs and conversational scenarios.

Here are a few concrete examples of that shift:

Example of a classic SEO keyword (direct search) Example of a GEO prompt (conversational orientation)

HR software pricing Which HR tool should I choose for a small business?

SaaS project management tool My development team needs a SaaS project management tool that is easy to integrate with Slack and offers a free trial. What are the best options?

Excel training What is the best online Excel course for beginners that includes practical exercises and a recognized certificate?

Sell apartment Paris I want to sell my 3-room apartment in Paris 15th quickly. How do I choose the best real estate agency for an exclusive listing?

In this logic, the question becomes more open, more contextual, and more oriented toward a precise result. That is the wording generative engines analyze to produce their answers and decide which brands to cite.

Breaking down a prompt: query fan out

When a user enters a prompt, the generative engine does not process a single request. It splits it into several sub-queries called query fan out. That step lets it explore every possible angle so it can build a rich, personalized answer aligned with the real intent.

Take this example:

“What is the best online Excel course for beginners that includes practical exercises and a recognized certificate?”

The engine may explore:

  • “best Excel courses for beginners in 2025”;

  • “Excel training with practical exercises”;

  • “official Excel training certificate”;

  • “recognized Excel course comparison”;

  • “user reviews of online Excel courses”;

The more your brand appears in these sub-prompts, the more likely it is to be cited in the generated answer.

Perplexity makes some of these splits visible, and GEO tools such as Peec or Qwairy analyze them to help you understand the structure and build an effective prompt chain.

Identifying your prompts to monitor GEO performance

To gain visibility in generative answers, you first need to know which prompts it is strategic to appear on. The goal is simple: identify the wordings that produce qualified visibility, then track whether your brand is mentioned there.

This approach belongs to a continuous optimization logic, close to SEO, but adapted to AI models.

You start from your SEO strengths: priority keywords, performing pages, core topics. You then look for the likely wordings in natural language. You test these prompts in different generative engines such as ChatGPT, Perplexity, or Gemini to analyze the answers you get.

You observe:

  • your presence in the answer;

  • how often you are cited;

  • the quality of the argument used to mention you;

  • the consistency between your content and the generated answer.

That base then lets you structure a coherent GEO strategy, improve your content, and better understand conversational search intents.

How do you define the prompts to track in GEO?

Defining your GEO prompts rests on a simple method: start from your SEO strategy, understand how users naturally phrase their needs, then validate those prompts in generative engines. It is a way to adapt your organic search work to the AI era without dropping the fundamentals.

Know your main keywords

Your SEO keywords are your starting point. They reflect existing demand, the topics that already attract traffic, and the subjects on which your brand already has legitimacy.

Those keywords become the base for imagining their conversational equivalents in GEO. That work improves the consistency between your content and the queries users generate.

Reasoning and logic: likely prompts

To turn your keywords into prompts, you think the way your prospects think. How do they phrase their needs? Which blockers do they hit? Which turns of phrase come back often?

The goal is to understand the intent, write the right wording, and adjust it to the need.

Frequent formulations:

  • “How do I choose…”;

  • “What is the best…”;

  • “List of solutions for…”;

  • “Which tool should I use for…”;

  • “If I want to…, what are my options?”;

You prioritize the questions on which your brand can be cited credibly. That helps you optimize your content and build a coherent prompt chain.

Tools for the most asked questions

To identify your GEO prompts, you need to start from the questions users actually ask. Some tools let you observe those queries, how they evolve, and how they reappear in generative answers. They give you a concrete view of natural, conversational wordings that are getting closer to what AI engines understand.

Here are the sources to analyze:

  • Classic SEO tools: they list the most asked questions on traditional engines, such as Semrush or Ahrefs;

  • People Also Ask (PAA): these questions from the SERP reflect conversational search well and give useful leads for optimizing your content;

  • LLMs directly: asking questions to a model such as ChatGPT helps you identify likely wordings;

  • GEO tools: some specialized tools suggest the most likely prompts for your keywords, such as Peec or Qwairy, which are useful for prompt tracking.

These resources help you spot the dominant intents and anticipate the questions generative engines will surface. That is a solid base for defining your next GEO prompts and improving your performance.

Understand search intent

Behind a search intent sits an expected page format. So are your users looking for:

GEO changes how you stay visible alongside SEO. Your added value no longer sits in simple keywords and a specific word count, but in prompts adapted to users’ real intents. By identifying, testing, and tracking your prompts, you increase your chances of appearing in generative answers.

This approach takes method, optimization, verification, and observation, but it opens new opportunities for your brand through a better reading of search intents and a strategy better suited to artificial intelligence.

Related guides