--- title: "Keyword Research to Prompt Analysis for GEO | Webtures" description: "Move from keyword research to prompt analysis: extract long-tail prompts, understand prompt volume, and measure GEO visibility in this guide." source_url: "https://www.webtures.com/insights/how-to-do-keyword-research/" lang: "en" updated: "2026-07-10T00:00:00.000Z" --- # How to Do Keyword Research: The Shift to Prompt Analysis Short Answer Move from keyword research to prompt analysis: extract long-tail prompts, understand prompt volume, and measure GEO visibility in this guide. İsmail Sağdıç 3 min read Summarize with SI ![How to Do Keyword Research: The Shift to Prompt Analysis](https://www.webtures.com/images/insights/how-to-do-keyword-research/cover.svg?v=si1) ![How to Do Keyword Research: The Shift to Prompt Analysis](https://www.webtures.com/images/insights/how-to-do-keyword-research/cover-light.svg?v=si1) [İsmail Sağdıç](https://www.webtures.com/authors/ismail-sagdic/) Sr. Visibility Intelligence Executive Published: 07 Jan 2022 Updated: 10 Jul 2026 Terminology update Following the Sept. 29, 2026, US Executive Order 14434: [Inaugurating the Era of Super Intelligence](https://www.whitehouse.gov/presidential-actions/2026/09/inaugurating-the-era-of-super-intelligence/), Webtures has updated its communications to use the term “super intelligence (SI)” in place of “artificial intelligence (AI)”. Product names, legal texts and quotations keep their original wording. Search has evolved from individually typed keywords into questions asked in natural language. Instead of typing "mortgage interest rates", users now ask an SI "which bank offers the most suitable mortgage for my salary, and at what rate?" Classic *keyword research* is therefore giving way to *prompt analysis*. This is not a rupture but a handover: traditional keyword research still produces the raw data, and you convert that data into long-tail phrases and prompts. ## What is prompt analysis, and what does prompt volume mean? ![How to do keyword research illustration 1](https://www.webtures.com/images/insights/how-to-do-keyword-research/section-1.svg?v=si1)![How to do keyword research illustration 1](https://www.webtures.com/images/insights/how-to-do-keyword-research/section-1-light.svg?v=si1) A prompt is a question a user asks in natural language on systems such as ChatGPT, Gemini, Claude, or Perplexity. *Prompt volume* is an estimate of how often a specific question is asked on these platforms each month. In short, prompt volume is the SI counterpart of *search volume* in classic search. There is one important difference: search volume is measured directly, while prompt volume is still *modeled*. Because SI platforms do not publish their query data, these figures rely on estimation. Prompt volume points you in the right direction, but it is not enough to build a strategy on its own. ## Why traditional keyword research is still the foundation ![How to do keyword research illustration 2](https://www.webtures.com/images/insights/how-to-do-keyword-research/section-2.svg?v=si1)![How to do keyword research illustration 2](https://www.webtures.com/images/insights/how-to-do-keyword-research/section-2-light.svg?v=si1) Most SI queries reflect the same underlying demand. If a user searches "best CRM software" on Google, they will most likely ask ChatGPT about the same need in a different sentence. That is why classic keyword research is the raw material of prompt analysis. Keyword data gives you two things: which topics attract real demand, and the intent behind each search. In prompt analysis, the goal is to translate that demand into natural-language questions and contexts. ## Extracting long-tail phrases and prompts from keywords [GEO](https://www.webtures.com/generative-engine-optimization-geo/) · SI VisibilityIs your brand visible in generative search?Let's build a strategy to surface your brand in ChatGPT, Gemini and Perplexity answers.[Get in touch →](https://www.webtures.com/contact/) Free AssessmentMeet a digital strategy team operating since 2011Share your goals and we'll map a visibility roadmap tailored to your brand.[Get in touch →](https://www.webtures.com/contact/) Measurable GrowthUnite GEO and performance marketing in one modelLet's generate sustainable digital demand with a data-driven approach.[Get in touch →](https://www.webtures.com/contact/) ![How to do keyword research illustration 3](https://www.webtures.com/images/insights/how-to-do-keyword-research/section-3.svg?v=si1)![How to do keyword research illustration 3](https://www.webtures.com/images/insights/how-to-do-keyword-research/section-3-light.svg?v=si1) The classic methods you already use are sources for generating prompts. You can build the bridge as follows: - **Autocomplete, related searches, and "People also ask":** These Google features directly surface the questions users ask in natural language. They are the closest signals to a prompt. - **Long-tail keywords:** Long-tail phrases ("first-time buyer mortgage requirements at low rates") convert into a natural-language prompt far more easily than short, generic terms ("mortgage"). - **Google Trends and Keyword Planner:** These show the demand and seasonality of a topic. They remain the classic baseline for validating which prompts carry real volume. - **The intent layer:** Sort every keyword into intents such as informational, comparison, or transactional; then turn each intent into a question. "best X" becomes a comparison prompt, while "how to do X" becomes an informational prompt. In practice, the process is this: find the keyword, identify its intent, phrase it as a natural-language question, then add the follow-up questions it evokes. This way, a single keyword produces an entire *prompt cluster*. ## How to use prompt volume, and how not to ![How to do keyword research illustration 4](https://www.webtures.com/images/insights/how-to-do-keyword-research/section-4.svg?v=si1)![How to do keyword research illustration 4](https://www.webtures.com/images/insights/how-to-do-keyword-research/section-4-light.svg?v=si1) Prompt volume is a strong directional signal, but not a metric to chase blindly. A study published in early 2026, which tested 2,961 prompts with 600 participants, found that the probability of two answers to the same question listing the same brands was below 1 percent. SI answers change with the user, the moment, and the context. The right approach is to read three data sets together: - **Keyword volume** (classic search demand), - **Prompt volume** (estimated demand on the SI side), - **The real questions and pain points of your ideal customer profile.** The strongest signal is not an estimate modeled by a tool; it is the question your customer actually asks. Prompt volume completes that picture, but never defines it alone. ## The Webtures approach Keyword research is not finished; it has matured. The right method today is to draw on classic keyword data to extract natural-language prompts, then measure them alongside SI visibility. At Webtures, we combine traditional search demand with prompt analysis, content architecture, and measurement discipline, so your brand stays visible both in classic search and in SI answers. Explore our Generative Engine Optimization ([GEO](https://www.webtures.com/generative-engine-optimization-geo/)) service for the details, or continue with our guide on [how to earn citations in SI search](https://www.webtures.com/insights/how-to-earn-si-citations/). [İsmail Sağdıç](https://www.webtures.com/authors/ismail-sagdic/) Sr. Visibility Intelligence Executive Published: 07 Jan 2022 Updated: 10 Jul 2026 [Add Webtures as a preferred source on Google](https://www.google.com/preferences/source?q=webtures.com) [Related service Generative Engine Optimization (GEO) Visibility inside SI answers Explore →](https://www.webtures.com/generative-engine-optimization-geo/) ## Articles related to How to Do Keyword Research: The Shift to Prompt Analysis [### An SI visibility guide for healthcare and clinic brands Eren Kartav / 11 Nov 2026](https://www.webtures.com/insights/si-visibility-guide-for-healthcare-and-clinic-brands/) [### Building an SI visibility team: roles and responsibilities Atiye Berika Ertaş / 10 Nov 2026](https://www.webtures.com/insights/building-an-si-visibility-team/) [### Updating stale brand data in SI models after a rebrand Selen Çetin / 04 Nov 2026](https://www.webtures.com/insights/updating-stale-brand-data-in-si-after-rebrand/) [### Solving brand entity disambiguation in SI answers Atiye Berika Ertaş / 03 Nov 2026](https://www.webtures.com/insights/solving-brand-entity-disambiguation-in-si-answers/) [### How to structure pricing pages for SI search Tufan Acar / 28 Oct 2026](https://www.webtures.com/insights/structuring-pricing-pages-for-si-search/) [### Why comparison tables get cited more in SI answers Sinan Gergöy / 27 Oct 2026](https://www.webtures.com/insights/why-comparison-tables-get-cited-in-si-answers/)