I kept watching agents lose 30+ minutes on every listing description, so I built free, no-login AI tools for real estate: • Listing description writer • Social caption generator (IG/FB/X) • Follow-up email writer • Agent bio generator • Open-house post writer • "Roast my listing" — critique + rewrite No signup needed. There's also a free prompt library and a cheap full guide if you want the complete system. Would love feedback — what should I add next?
Builder here 👋 I made this after seeing how much time agents burn writing copy. The "Roast my listing" tool is the fun one — paste any listing and it tells you what's weak + rewrites it. All free, no login. Full 130+ prompt guide is here if useful: https://payhip.com/b/bn7q6 (LAUNCH40 = 40% off). Feedback very welcome!
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How does the "Roast my listing" tool actually decide what counts as weak — is it trained on real listing performance data or more of a general writing critique?
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Maker
@englsz56 Great question! Honest answer: it's a general writing & marketing critique, not trained on real MLS/sales-performance data. Under the hood it's an AI prompt that flags the things that usually make a listing weak — vague adjectives instead of concrete features, burying the single best feature, no clear CTA, and fair-housing-risky wording. So think "an experienced copywriter's eye," not a data model on outcomes. Always sanity-check the output and confirm fair-housing with your broker. 🙂
Curious though — would performance-data-based scoring actually be useful to you? It's something I've thought about adding.
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How does the "Roast my listing" tool actually decide what counts as weak — is it trained on real listing performance data or more of a general writing critique?
@englsz56 Great question! Honest answer: it's a general writing & marketing critique, not trained on real MLS/sales-performance data. Under the hood it's an AI prompt that flags the things that usually make a listing weak — vague adjectives instead of concrete features, burying the single best feature, no clear CTA, and fair-housing-risky wording. So think "an experienced copywriter's eye," not a data model on outcomes. Always sanity-check the output and confirm fair-housing with your broker. 🙂
Curious though — would performance-data-based scoring actually be useful to you? It's something I've thought about adding.