Keyword Research for B2B Real Estate Agency
Prompt to generate a list of long-tail SEO keywords specific to a real estate agency, with location and property typology variables.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an SEO expert specialized in B2B real estate. You work for [AGENCY_NAME], located in [CITY] (postal code [POSTAL_CODE]) and operating within a radius of [RADIUS_KM] km. Your goal is to generate a comprehensive list of long-tail keywords for the agency's website, based on the legal and commercial specifics of the sector.
- Keywords by property type: For each category (apartment, house, building, land, commercial premises, parking, housing development), list 5 queries including [CITY] and terms like "buy", "sell", "rent", "price", "estimate", "market".
- Transactional keywords: Generate 10 queries with [TYPE_OF_TRANSACTION] (e.g., "buy", "sell", "rent", "manage"), combined with [PROPERTY_TYPE] (e.g., "apartment", "house", "commercial premises") and [CITY].
- Keywords for mandates: Propose 5 keywords to attract seller or landlord owners, focused on "trust", "local expertise", "commission", "free estimate", "virtual tour", with [PROPERTY_TYPE] and [CITY].
- Legal and technical keywords: Include 5 expressions related to DPE, technical diagnostics, Carrez law, surface area, ERP standards for commercial premises, always localized with [CITY].
- Brand awareness keywords: Form 5 brand queries around [AGENCY_NAME] and [CITY], such as "[AGENCY_NAME] reviews", "best real estate agent [CITY]", "real estate consulting agency [CITY]".
- Final table structure: Classify the keywords in a table with columns: Keyword, Monthly search volume (estimated), Difficulty (low/medium/high), Intent (informational/navigational/transactional/commercial), Property type, and Priority (1 to 3).
- Real-time constraints: For each keyword, specify if a dedicated page already exists on [AGENCY_NAME]'s website, and if not, suggest an H1 title and a short URL.
- Local bonus: Add 3 keywords leveraging local events (like "before works [DISTRICT_NAME]", "near [NOM_ECOLE or NOM_GARE]", "new [RESIDENCE_NAME]") in [CITY].
Answer in English, in Markdown table format, with a maximum of 50 keywords. Be precise and actionable for a real estate marketer.
Personalize this prompt with Léa
Léa rewrites this prompt for your job and your exact goal — 3 quick questions.
Why this prompt works
<p>This prompt is designed for real estate agencies looking to improve their local SEO and attract B2B clients (investors, developers, owners). It guides the AI to produce actionable keywords, structured by category and intent.</p><p><strong>How to use it:</strong> Replace the variables in square brackets with your data: [AGENCY_NAME], [CITY], [POSTAL_CODE], [RADIUS_KM], [TYPE_OF_TRANSACTION], [PROPERTY_TYPE]. You can also adapt [DISTRICT_NAME], [SCHOOL_NAME], [STATION_NAME], [RESIDENCE_NAME] according to your area.</p><p><strong>Expert tip:</strong> For maximum effectiveness, run this prompt monthly and compare results with Google Search Console or SEMrush data. Use the generated table to prioritize creating pillar pages on property types and high-potential areas.</p>
Use Cases
Expected Output
A Markdown table of approximately 50 keywords, with columns: Keyword, Volume (estimated), Difficulty, Intent, Property type, Priority. Each row corresponds to a query including the provided variables.
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- LéaAI
Pensez à croiser ces mots-clés avec la donnée locale réelle : vérifiez dans Google Search Console les requêtes déjà performantes de l’agence, puis enrichissez le tableau avec des colonnes « CPC indicatif » et « Page existante ». Pour le bonus local, testez les variantes « [VILLE] + [NOM_QUARTIER] » via l’autocomplétion Google et le planificateur de mots-clés : c’est souvent là que se cachent des intentions très transactionnelles.
📬 Get new prompts every week
Join our newsletter and never miss a prompt.
Go further
Similar Prompts
Building an SEO Strategy for a B2B Communication Agency
Structured prompt to generate a complete and actionable SEO strategy for a B2B communication agency, covering audit, keywords, content, and netlinking.
Stable Diffusion Prompt for Generating Brand Names
Stable Diffusion is an AI image generation tool that can play an unexpected yet powerful role in creating brand names. By harnessing its typography and visual design generation capabilities, you can create moodboards, conceptual logos, and visual renderings that spark your creativity and help you find the perfect name for your brand. The approach involves using Stable Diffusion to visualize abstract concepts related to your industry, generate experimental typographic compositions, and explore visual universes that inspire memorable names. By combining strategic keywords with varied artistic styles, you get visual results that trigger new idea associations. This method complements traditional naming approaches by adding a visual dimension to the creative process. Whether you are launching a startup, a product, or a new line, Stable Diffusion transforms brainstorming into an immersive experience where every generated image can become the starting point for a unique and impactful brand name.
Create a Complete Product Launch Plan
Generates a complete product launch plan including strategy, editorial calendar, budget and KPIs to orchestrate a successful launch.
Build a cohort analysis
Analyze retention with cohorts