4d (edited) • Youtube
I built an AI that turns happy customers into Google reviews (real ones).
Hey everyone 👋
Long-time learner here. Recently I built a small but surprisingly powerful AI system, and I wanted to share the thinking behind it with this group.
Most local businesses don’t have a traffic problem.
They have a trust problem.
93% of customers read reviews before buying — but only ~5–10% of happy customers ever leave one.
So the review profile most businesses have is… skewed.
Loud minorities. Silent majority.
Instead of trying to “incentivize” reviews (which breaks trust), I built a mobile-first AI review generator that:
• Captures feedback while the customer is still on-site
• Helps customers turn their own words into a well-written review
• Lets the customer fully edit + submit it themselves
• Stays compliant with Google’s policies
No fake reviews.
No automation posting on behalf of users.
Just friction removal.
From a systems point of view, this was interesting because:
• It’s serverless (Cloud Run → scales from 0 to spikes)
• Uses LangChain purely as orchestration (not over-engineered)
• Gemini 2.0 Flash tuned for human tone, not robotic outputs
• White-labelable across niches (dentists, salons, clinics, etc.)
Early results show 5–10× increases in review volume, which then compounds into:
Better Maps rankings → more customers → more reviews.
I recorded a full breakdown + live demo here if anyone’s interested
No pitch. Just sharing the system and architecture in case it sparks ideas for:
• AI agency offers
• Local business automations
• Productized AI services
Would love feedback from builders here:
If you were selling this, would you position it as a product or a service?
Curious how others in this community would package it.
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I built an AI that turns happy customers into Google reviews (real ones).
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