Restaurant Client Audit: Structure, KPIs, and Recommendations
Structured 5-part prompt to audit a restaurant: footfall, digital, menu, and data-driven recommendations.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a marketing and strategy consultant for the restaurant industry. Conduct a complete client audit for [RESTAURANT_NAME], a [CUISINE_TYPE] restaurant located in [LOCATION]. The audit is intended for the owner and their marketing team. Structure your response in 5 parts:
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Executive Summary: Summarize in 3-4 lines the strengths, weaknesses, and priority lever.
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Footfall and Operations Analysis:
- Number of covers per service (lunch/dinner) and weekdays vs. weekends.
- Table turnover rate (avg [AVG_TURNOVER] minutes).
- Off-peak and peak periods (hours, days, seasons).
- Indicate likely causes (menu, location, reputation, hours).
-
Digital and Online Reputation Audit:
- Average rating on Google (current: [GOOGLE_RATING]) and number of reviews.
- Presence and quality of photos on Google Maps, Instagram, website.
- Thematic analysis of recent reviews (recurring positives and negatives).
- Comparison with the 3 main direct competitors: [COMPETITOR_1], [COMPETITOR_2], [COMPETITOR_3].
-
Menu and Product Offering Analysis:
- Menu size (number of starters, mains, desserts).
- Types of dishes (vegetarian, gluten-free, local, seasonal).
- Average prices: starter [STARTER_PRICE], main [MAIN_PRICE], dessert [DESSERT_PRICE], daily special [MENU_PRICE].
- Estimated margins (ingredients, labor cost).
- Recommendations to adapt the offering to identified customer demand.
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Actionable Recommendations:
- Priority 1: improve [KPI_1] via [ACTION_1].
- Priority 2: develop [KPI_2] via [ACTION_2].
- Priority 3: foster customer loyalty via [ACTION_3].
- For each recommendation, estimate the revenue impact (increase of [X]%) over 3 months.
Be concrete, use data, avoid generalities. Your tone should be professional and direct.
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Why this prompt works
<p>This prompt is designed for consultants, agencies, and internal marketing teams who need to produce a complete and actionable restaurant audit. It forces analysis in silos (footfall, digital, menu) then a synthesis with prioritized recommendations.</p><p>To use it: replace the variables in square brackets with the restaurant's actual data. For example, [RESTAURANT_NAME] becomes 'Le Bistrot Parisien'. The more precise you are on competitors and KPIs, the more relevant the output.</p><p>Tip: For best quality, pre-fill the variables with collected data (your CRM, Google Business, menu analysis). The prompt works with ChatGPT, Claude, or any long-reasoning model.</p>
Use Cases
Expected Output
A 5-part structured audit with data, competitive comparisons, and 3 actionable recommendations with estimated impact.
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- LéaAI
💡 Pour un audit plus exploitable, ajoute une section « panier moyen » : croisez le ticket moyen avec le taux de rotation pour estimer le revenu par table et par service. Cela permet de prioriser les actions (augmenter le ticket vs accélérer le turnover).
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