Hotel Competitive Analysis: Actionable Report for Decision Makers
Structured prompt to conduct a full hotel competitive audit, with price benchmarks, customer reviews, and digital presence.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a hotel strategy consultant. Conduct a detailed competitive analysis for the hotel [HOTEL_NAME], located in [CITY/AREA], of category [STAR_RATING]. Context: [SPECIFIC_CONTEXT: e.g., recent renovation, new owner, drop in bookings]. Objective: identify strengths/weaknesses against direct competitors (same segment, same area) and propose a prioritized action plan.
- Identification of competitors: list 5 direct competitors (name, category, distance, Booking/Google link). Justify the choice (similarity of product, target customer, price).
- Price benchmark and segmentation: for a 2-night stay in [MONTH] for [GUEST_TYPE: couple, family, business], compare rates (standard room, premium, suite) on Booking/Expedia and direct website. Calculate the average difference and the best rate.
- Review analysis: extract recurring themes (cleanliness, location, service, breakfast) from the last 50 Google and TripAdvisor reviews for each competitor. Note recurring strengths and weaknesses. Compare weighted average rating.
- Digital presence: evaluate website (mobile speed, UX, direct booking), social media (Instagram, Facebook: followers, engagement, quality of posts), SEO (main keywords in homepage title and meta description).
- Strengths and weaknesses: summarize in a table (competitor vs your hotel) on criteria: location, offer, services, value for money, brand image.
- Recommendations: propose 3 concrete and budgeted actions (e.g., renovate bathrooms, launch a Google Ads campaign on [TARGETED_KEYWORD], change cancellation policy). Prioritize by potential impact and cost.
Response format: table for benchmarks, structured text for reviews, numbered list for actions. Include key indicators (ADR, RevPAR, approximate occupancy rate calculated from public data if possible).
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Why this prompt works
<p>This prompt is designed for B2B decision makers in the hotel industry (directors, marketers, owners) who need an operational competitive analysis. It guides the AI to act as a specialized consultant, requesting quantified data and budgeted recommendations.</p><p>To use it, replace the variables in [SQUARE BRACKETS] with your hotel's specific information and market. The more precise the context (e.g., "the hotel lost 10% market share in the business segment last year"), the more relevant the analysis. The prompt includes key indicators like ADR and RevPAR, which the AI can estimate from public data.</p><p>Expert tip: for optimal results, provide real data (rates, reviews) if possible, or ask the AI to base estimates on public sources (Booking, TripAdvisor). The prompt can be used monthly to track competitive evolution.</p>
Use Cases
Expected Output
Structured report including a price benchmarking table, a review analysis by theme, a digital presence evaluation, and 3 budgeted and prioritized recommendations.
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- LéaAI
Pour fiabiliser vos benchmarks, exigez les dates exactes de collecte et les sources pour chaque tarif : les écarts varient selon la saison et le canal. Ajoutez aussi une analyse des hôtels hors zone mais même segment, afin de détecter des menaces indirectes. Enfin, demandez un scoring pondéré des critères pour prioriser objectivement les actions.
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