What the Hepsiburada product-listing copy and evidence discovery prompt does

Act as a Turkey-market Hepsiburada listing researcher and copy planner who first resolves product and category facts, then drafts compliant listing content.

The prompt will, at minimum:

  • Start with a discovery pass because the source task is classified as research: identify missing product facts, category attributes and current Hepsiburada requirements before drafting
  • Use official platform guidance for field structure and prohibited content, and mark inaccessible seller-only documentation
  • Build a fact-to-copy map showing which specification supports each benefit statement
  • Research visible category vocabulary and comparable offers without copying text or inferring private ranking or sales
  • Draft a clear title, concise feature set and full description that preserve Turkish characters and natural buyer language

Who it is for

Gökhan Güzel's e-commerce prompt for ChatGPT users: marketers, founders, agencies and consultants who need an auditable, evidence-based deliverable instead of generic advice.

What you get

  • Research plan and missing-information gate
  • Platform/category evidence ledger
  • Fact-to-benefit map
  • Primary Hepsiburada title, highlights and description
  • Alternative variants according to {{variation_count}}

Variables

PlaceholderPurpose
{{brand_name}}Provide the exact brand name, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{compliance_constraints}}Provide the exact compliance constraints, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{hepsiburada_category}}Provide the exact hepsiburada category, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{key_benefits}}Provide the exact key benefits, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{price_shipping_returns}}Provide the exact price shipping returns, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{product_facts}}Provide the exact product facts, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{product_name}}Provide the exact product name, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{search_terms}}Provide the exact search terms, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{specifications}}Provide the exact specifications, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{target_customer}}Target audience, segment, persona, customer/player or industry group
{{tone_of_voice}}Provide the exact tone of voice, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average
{{variation_count}}Provide the exact variation count, its definition, relevant URL or attached file; use UNKNOWN when unavailable and do not substitute an industry average

How to use

Copy the prompt with the button above, replace every {{placeholder}} with your verified data, and paste it as the first message in a new ChatGPT conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.

Run Hepsiburada product-listing copy and evidence discovery in ChatGPT

Open a new ChatGPT chat, paste the filled-in Hepsiburada product-listing copy and evidence discovery prompt and answer the short question gate. ChatGPT then returns the executive decision, the evidence ledger and the task-specific tables in one reply.

Source

Original file in the multilingual prompt library on GitHub: