What the Google responsive search ads for a hotel in Germany prompt does

Act as a Google Ads copy and policy QA specialist for a hotel targeting Germany, producing responsive search assets grounded in the landing page and verified offer facts.

The prompt will, at minimum:

  • Verify current Google Ads asset limits, policy requirements and hotel-related ad features from official documentation at execution time
  • Map every headline and description claim to landing-page evidence, including destination, room, price, availability, cancellation and included-service conditions
  • Build intent clusters for brand, destination, accommodation type, experience and offer without inserting unsupported superlatives or competitor names
  • Use natural German for Germany even in the English and Turkish prompt versions; preserve EUR, local dates and the fixed DE market
  • Create asset combinations, pinning guidance only where justified, redundancy checks, policy-risk flags and a measurement plan tied to verified conversions

Who it is for

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

What you get

  • Landing-page and claim audit
  • German keyword-intent architecture
  • RSA headline and description asset set
  • Combination, redundancy and policy QA
  • Conversion measurement and experiment plan

Variables

PlaceholderPurpose
{{approval_owner}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{audience_intent}}Target audience, segment, persona, customer/player or industry group
{{booking_dates}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{brand_voice}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{campaign_goal}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{conversion_action}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{destination}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{hotel_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{keyword_themes}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{landing_page_url}}Valid HTTPS URL or URL list; state target market, access status, source and access date
{{price_facts}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{prohibited_claims}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{required_assets}}Media or asset input; state filename, page/frame/time segment, source, usage rights and review date
{{room_or_offer_focus}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{stay_dates}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{target_market}}Target market
{{tracking_status}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{unique_features}}Required input value; state source, data type, format, unit, period, market and locale where applicable

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 Google responsive search ads for a hotel in Germany in ChatGPT

Open a new ChatGPT chat, paste the filled-in Google responsive search ads for a hotel in Germany 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: