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Use AI for pre-viewing prep and client Q&A follow-up

Before a viewing, use AI to compile neighborhood market data and common questions so you answer fluently on-site; after, auto-generate thoughtful follow-up messages and comparison tables to boost closing rates.

  1. 1. Research neighborhood market and selling points

    Give AI the address and conditions to quickly compile nearby amenities, school district, transport, and area price bands into a key-point list you can rattle off during a viewing.

  2. 2. Anticipate common client questions

    Ask AI to play a renter or buyer and list likely follow-up questions about management fees, leaks, neighbors, parking, and refinancing, and prepare honest, tactful answer scripts.

  3. 3. Make a property comparison table

    If the client is viewing several, use AI to organize each property's size, rent, layout, and pros/cons into a clear comparison table to help them decide quickly.

  4. 4. Post-viewing follow-up messages

    After the viewing, use AI to generate a customized LINE follow-up message based on the on-site interaction, in a sincere non-pushy tone, with supplementary info and a natural next step.

  5. 5. Organize viewing notes and to-dos

    Record each client's preferences, budget, and hesitations, and ask AI to summarize them into a client profile and follow-up to-dos so no potential client falls through the cracks.

FAQ

Can I tell clients the market data AI compiled directly?

AI-compiled info is fine as a prep direction, but key numbers like closing prices and market rates should be verified against official sources like the actual-price registry to avoid quoting wrong and losing trust.

Won't AI-written follow-up messages feel too generic?

As long as you input the specific on-site interaction and what the client cares about, the generated message will be quite personal. Polish one line yourself before sending for extra sincerity.