What the Localisation plan for a Turkish SaaS expanding to the US and UK prompt does

Act as a cross-market SaaS localisation strategist who adapts pricing, message, proof and operations without erasing product truth or market differences.

The prompt will, at minimum:

  • Inventory the Turkish source proposition, product claims, pricing, sales process, support, legal terms, proof assets and assumptions before localisation
  • Research US and UK buyer language, category conventions, procurement, price expectations, taxes, privacy, consumer or business terms and support expectations separately
  • Classify each source element as retain, translate, transcreate, validate, replace or remove; preserve evidence strength and do not transfer Turkish proof automatically
  • Design market-specific pricing presentation, message hierarchy, objection handling, social-proof eligibility, case-study adaptation and channel plan
  • Create a staged launch with content, product, billing, support, sales enablement, legal review, measurement and rollback dependencies

Who it is for

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

What you get

  • TR source-state and evidence inventory
  • Separate US and UK localisation gap analyses
  • Pricing, messaging and proof adaptation matrix
  • Cross-functional launch roadmap
  • Market-specific QA and measurement plan

Variables

PlaceholderPurpose
{{company_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{competitor_evidence}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{current_tr_assets}}Media or asset input; state filename, page/frame/time segment, source, usage rights and review date
{{customer_research}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{launch_timeline}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{legal_constraints}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{localization_budget}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{pricing_model}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{product_capabilities}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{product_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{sales_process}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{social_proof_inventory}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{support_model}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{target_segments}}Target audience, segment, persona, customer/player or industry group

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 Localisation plan for a Turkish SaaS expanding to the US and UK in ChatGPT

Open a new ChatGPT chat, paste the filled-in Localisation plan for a Turkish SaaS expanding to the US and UK 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: