--- title: "Prompt research vs keyword research: B2B AEO method 2026 | Answerly" description: "Buyers type tasks not keywords. Single-keyword research misses 80% of high-intent prompts. Tooling, methodology, and a five-prompt seed pattern for B2B." url: https://answerly.agency/blog/prompt-research-vs-keyword-research/ lang: en updated: 2026-04-25T00:00:00.000Z --- GEO tactics · 7 min read # Prompt research has replaced keyword research for B2B Buyers no longer type 'VASP license' — they type the full task into ChatGPT. Here is how to mine real prompts, why keyword volume metrics fail, and the tooling stack we use across our engagements. Viktoriia Chumak · 2026-04-25 ## Key takeaways - Modern B2B buyers type tasks, not keywords. - Single-keyword research misses 80% of high-intent commercial prompts. - Searchable Agent and Profound are the two platforms we currently use for prompt mining. - Five seed prompts is enough to anchor a 90-day Scale programme. ## Quick Facts | Parameter | Value | | --- | --- | | Old: keyword length | 1–3 words | | New: prompt length | 8–25 words | | Average prompts per Scale engagement | 60 tracked, 50 active | | Tools we use | Searchable, Profound, Orion (varies by engagement) | | Seed prompts to start | 5 (per the \[G&S case\](/cases/gofaizen-sherle)) | ## What changed In 2022 a fintech founder researching crypto licensing typed _“VASP license”_ into Google. In 2026 the same founder types _“best crypto licensing firms for fintech startups”_ into ChatGPT. That single shift breaks classical keyword research — _“VASP license”_ has 200 monthly volume and is dominated by exchange landing pages, while the actual buyer prompt is 8 words long, has zero search-volume data, and is the cite-or-die surface inside ChatGPT. This is the prompt-research problem. Keyword tools cannot see prompts, and prompts are where the buyer actually lives. ## How to mine real prompts Three sources we use across engagements: **Searchable Agent** — our preferred tool for multi-LLM tracking. It also surfaces the actual conversational prompts users type around a topic across ChatGPT, Perplexity, Gemini and Claude. We use it on every Scale and Enterprise engagement. **Profound** — strong on prompt clustering and intent-bucket analysis. Useful for week-one discovery on a new vertical. **Real reverse-engineering**. We sit with the founder for an hour and re-type how _they_ would research the category. Then we ask three customers to do the same on a screen-share. This is the cheapest source of real prompts; tooling is for scale. ## The five-seed pattern Five seed prompts is enough to anchor a 90-day Scale programme. The [Gofaizen & Sherle case](/cases/gofaizen-sherle) ran on exactly five: - _Best crypto licensing firms for fintech startups_ - _MiCA CASP license provider EU_ - _VASP registration Lithuania vs Estonia_ - _Crypto exchange licensing compliance_ - _AML / KYC framework for fintech startup_ Each prompt mapped to a content cluster, a competitor teardown, and a measurable share-of-voice target. Five prompts, ninety days, six entrenched competitors out-ranked. ## Why keyword volume is the wrong metric A high-volume keyword can be commercially worthless if the prompt-equivalent is dominated by AI-generated junk. A zero-volume prompt can be commercially decisive if it is the question your $50,000 ACV buyer types right before signing. The metric that replaces keyword volume in 2026 is **citation potential per hour of effort** — how often AI returns an answer for the prompt × commercial weight of the answer × how cleanly your content can be restructured to win the citation. We rank every prompt against that score before we touch a page. ## What to do this week If you have an SEO team and they are still running keyword research as the primary input — pause that. Have them mine fifty prompts in the niche using either of the two tools above (free trials work for week one). Score the prompts by commercial intent. Pick five to seed the next quarter. If you do not have an SEO team — that is what the [Starter audit](/services/aeo-starter-audit) does in week one. The fifteen prompts we pick on Starter are the same prompts that anchor a Growth or Scale programme later. ## What good looks like You should walk away with fifty prompts ranked by citation potential, the top fifteen tagged for content priority, and a mapping of which competitor currently owns each prompt. That is the input — the structural rewrite is the output. ## See also - [**Free AI Visibility Audit** — 60-second score across 8 categories](/ai-visibility-audit/) - [**What is AEO?** — definitional pillar](/blog/what-is-answer-engine-optimization/) - [**Best AEO tools 2026** — comparison](/blog/best-aeo-tools-2026/) ## Related reading - [The 'as of' date pattern — embedding verifiable timestamps inside your copy](/blog/as-of-date-pattern) - [Comparison-page anatomy — 'X vs Y' pages that win LLM extraction](/blog/comparison-page-anatomy) - [Glossary-page AEO — definitions as a long half-life citation factory](/blog/glossary-page-aeo) ## Run a free AI visibility audit 60 seconds to submit, full 47-check report in your inbox within 24 hours. No signup wall, no call required. [Get the free audit](/ai-visibility-audit/) [See pricing](/pricing/) Last updated 2026-04-25.