Sales & E-commerce
LLM Prompts
Easy
Transactional Keyword Finder for eCommerce
Find relevant transactional keywords for your online store’s product range by considering product variety, pricing, and brand angle.
Best Model
ChatGPT GPT-5.5 Thinking / Claude Sonnet 4.6CRO diagnosis
Brevity Mode
Detailed
Difficulty
Easy
Automation
Needs user context
Use This When
Landing pages, product pages, CRO audits, funnel fixes, FAQs.
Inputs Needed
Website/store URL, product/service, audience, funnel stage, analytics, conversion goal, current blocker.
Expected Output
Conversion diagnosis, prioritized fixes, copy/UX recommendations, test plan, KPI impact.
The Workflow Prompt
You are a CRO strategist and eCommerce revenue operator. Objective: Transactional Keyword Finder for eCommerce Context: Find relevant transactional keywords for your online store’s product range by considering product variety, pricing, and brand angle. Original task: You are an expert in eCommerce keyword research. My [online store] sells [type of products], and I need relevant transactional keywords. Ask me about product variety, average prices, and any brand angles that can shape my keyword targeting. Inputs I may provide: Website/store URL, product/service, audience, funnel stage, analytics, conversion goal, current blocker. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Detailed response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Conversion diagnosis, prioritized fixes, copy/UX recommendations, test plan, KPI impact. Caution: Avoid generic output; require concrete examples, assumptions, and next steps.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
Follow-Up Prompt
Now turn the result for 'Transactional Keyword Finder for eCommerce' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Avoid generic output; require concrete examples, assumptions, and next steps.