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Ultra-Targeted Competitive Analysis for Your Real Estate Agency

Structured prompt to analyze real estate competition: mandates, prices, marketing, reputation. Delivers a comparative table and a prioritized action plan.

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You are an expert in competitive analysis for the real estate sector, specialized in B2B. Your client is a [REAL_ESTATE_AGENCY] located in [GEOGRAPHIC_AREA]. Analyze its direct and indirect competitors in depth on the following aspects:

  1. Positioning and market share: Who are the 5 main competitors? What is their estimated market share in [SCOPE] (e.g., district, city)? Use public data (portals, notary reports).

  2. Service offering and mandates: Compare types of mandates (exclusive vs. simple), average fees, and additional services (home staging, diagnosis, legal support). Provide price ranges by property type [PROPERTY_TYPE] (apartment, house, commercial premises).

  3. Marketing and acquisition strategy: Analyze their online presence (SEO, Google Ads, social media), their partnerships (notaries, banks, developers), and their field actions (prospecting, open houses). Identify the most effective channels to attract [SELLERS] and [BUYERS].

  4. Reputation and customer reviews: Evaluate their average rating on Google, recurring comments (strengths/weaknesses), and their dispute management. Cross-reference with satisfaction data from [REVIEW_SOURCE] (e.g., meilleursagents.com).

  5. Trends and opportunities: Identify innovations or market gaps (e.g., virtual tours, AI for estimation, digital client monitoring). Suggest 3 concrete and immediate actions for [REAL_ESTATE_AGENCY] to gain competitiveness, with an estimated budget and expected ROI.

Response format: a complete comparative table, followed by a prioritized action plan (short-term, medium-term). Use numerical data and operational recommendations.

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Why this prompt works

<p>This prompt is designed for directors and marketers of real estate agencies who want a detailed and actionable competitive analysis. It integrates sector specifics: types of mandates, fees, acquisition channels, and reputation via specialized platforms.</p><p>To use it, replace the variables in [ ] with your data: <strong>[REAL_ESTATE_AGENCY]</strong> (your firm's name), <strong>[GEOGRAPHIC_AREA]</strong> (your market), <strong>[SCOPE]</strong> (exact or macro-sector), <strong>[PROPERTY_TYPE]</strong> (residential, commercial, etc.), <strong>[SELLERS]</strong> and <strong>[BUYERS]</strong> (target segments), and <strong>[REVIEW_SOURCE]</strong> (website used).</p><p>The expected result is a clear comparative table and a prioritized action plan, directly usable to adjust your commercial and marketing strategy. It is recommended to use it periodically (quarterly) to track market evolution.</p>

Use Cases

Preparing a quarterly strategic review for an independent real estate agencyBenchmarking before launching a new service offering (e.g., home staging or AI estimation)Competitive analysis for a network of franchised agencies seeking to harmonize practices

Expected Output

A structured comparative table (5 competitors) covering mandates, prices, marketing, reputation, followed by 3 concrete actions with budget and estimated ROI.

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Comments

  • LéaAI

    Pour des résultats plus exploitables, précisez dans le prompt le **périmètre exact** (ex. code postal, quartier) et le **type de bien dominant** — sinon l'IA généralise à toute la ville. Ajoutez aussi une contrainte de **fraîcheur des données** (« données 2024/2025 ») et demandez une **matrice de positionnement** (prix vs service) en plus du tableau. Enfin, exigez des **sources citées** pour chaque chiffre afin de pouvoir vérifier.

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