ИИ-агент недвижимости

Проблема

Leads come in at all hours. Slow response loses deals.

Решение

Ask qualifying questions, score intent, and route hot leads to the right agent with context.

Что даёт

• Faster response
• Consistent qualification
• Better routing

Как запустить

1. Connect CRM. Link your real estate CRM and lead source.
2. Set criteria. Define hot lead signals (budget, timeline, etc.).
3. Route and nurture. Hot leads go to agents; others get nurture sequences.

Инструменты: Leverage, Follow Up Boss, kvCORE

Проблема

Agents spend 1–2 hours per CMA pulling comps, adjusting for features, and formatting reports. This limits how many listings they can pursue.

Решение

The AI agent pulls comparable sales from MLS, adjusts for square footage, condition, and location, and generates a branded CMA report. Agents review and customize before sending to clients.

Что даёт

• Generate CMAs in minutes, not hours
• Consistent methodology across all reports
• More listing presentations per week
• Data-backed pricing recommendations

Как запустить

1. Connect MLS data. Link your MLS feed. The agent accesses recent sales, active listings, and property details.
2. Set comp criteria. Define radius, recency, property type filters, and adjustment factors for your market.
3. Generate and customize. Enter the subject property. The agent produces a draft CMA. Review, add your commentary, and send to the client.

Инструменты: Revaluate, HouseCanary, kvCORE

Проблема

Writing unique descriptions for every listing takes time. Copy ends up generic or inconsistent across channels.

Решение

Feed property details (beds, baths, features, neighborhood) and get polished descriptions for MLS, social, and email. Edit and publish in minutes.

Что даёт

• Listings go live faster
• Consistent brand voice
• SEO-optimized copy
• Less time writing

Как запустить

1. Input property details. Enter or import details from your MLS. Add photos and highlight features.
2. Generate descriptions. AI writes MLS description, social posts, and email blurb tailored to each channel.
3. Review and publish. Edit as needed and push to your listing platforms and marketing channels.

Инструменты: Listing AI, kvCORE, Follow Up Boss

Проблема

Traditional CMAs take hours to compile and rely on limited comps. Agents risk overpricing or underpricing because they can't process the volume of data needed for an accurate estimate.

Решение

The AI agent pulls recent sales, active listings, tax records, permit history, and neighborhood analytics to compute a confidence-weighted valuation range. It explains the key drivers behind the estimate and adjusts for property-specific factors like renovations or deferred maintenance.

Что даёт

• Valuations delivered in seconds, not days
• Confidence-weighted price ranges with explanations
• Broader comp coverage than manual CMAs
• Data-driven pricing reduces days on market

Как запустить

1. Input property details. Enter the address or MLS ID. The agent pulls public records, tax data, and listing history automatically. Add notes on condition, upgrades, or unique features.
2. Review valuation and comps. The agent presents a price range with comparable sales mapped and weighted by recency, proximity, and similarity. Drill into any comp to see the adjustment logic.
3. Export and present. Generate a branded valuation report for sellers or investors. Include neighborhood trend charts, days-on-market benchmarks, and pricing recommendations.

Инструменты: HouseCanary, Redfin, Zillow

Проблема

Writing listing descriptions and marketing copy for every property is tedious and inconsistent. Agents either spend hours crafting content or publish generic, forgettable descriptions that fail to attract buyers.

Решение

The AI agent ingests property details, photos, and neighborhood data to generate optimized MLS descriptions, Instagram captions, email campaigns, and video scripts. It tailors tone and highlights based on the target buyer persona and local market positioning.

Что даёт

• Full marketing package in under 5 minutes
• SEO-optimized MLS descriptions
• Consistent brand voice across channels
• 3x faster time from listing to live

Как запустить

1. Upload property information. Enter property details, upload photos, and select the target buyer persona (first-time buyer, luxury, investor, etc.). The agent extracts features from photos automatically.
2. Generate and customize content. The agent produces an MLS description, 3–5 social posts, an email blast draft, and a virtual tour script. Edit any piece inline or regenerate with different emphasis.
3. Publish across channels. Push the MLS description to your listing platform, schedule social posts, and send the email campaign—all from a single dashboard with performance tracking.

Инструменты: Listing AI, kvCORE, Canva

Проблема

Property managers spend 2–4 hours per applicant on screening: collecting documents, verifying income, calling employers, running credit and background checks, and comparing applicants. For high-demand properties with 20+ applications, the process takes days and delays move-in dates. Inconsistent screening criteria also create fair housing compliance risks.

Решение

The AI agent receives applications (via property listing integration or a branded portal), automatically verifies income and employment through payroll integrations, runs credit and background checks, scores applicants against your configurable criteria (income-to-rent ratio, credit minimums, rental history), and generates a ranked shortlist with a compliance-safe summary for each applicant.

Что даёт

• Screen 20+ applicants in hours instead of days
• Consistent criteria application reduces fair housing risk
• Faster move-in reduces vacancy loss ($50–$150/day per unit)
• Automated verification catches fraudulent documents

Как запустить

1. Set screening criteria. Define your requirements: income-to-rent ratio (typically 3x), minimum credit score, acceptable background check results, rental history requirements, and pet policies. The system applies these consistently to every applicant.
2. Connect listing and application flow. Integrate with your listing platforms (Zillow, Apartments.com) and property management software. Applications flow directly into the screening pipeline. Applicants upload documents through a branded portal.
3. Review ranked applicants. The agent presents a ranked shortlist with scores, verification results, and flagged concerns for each applicant. Review the top candidates, approve or reject with one click, and the system sends notifications and next steps to applicants automatically.

Инструменты: Buildium, AppFolio, RentSpree