Responsly AI watches your Google Business Profile for new reviews and drafts a reply in your own brand voice. Set the tone once, then choose which reviews are answered automatically and which you handle yourself. Built for local and multi-location businesses, it monitors reviews across all your locations, sends instant new-review alerts, and helps protect your online reputation without writing the same reply 50 times.
AI replies tuned to your brand voice. Review monitoring across all locations. Instant new-review alerts. Auto-reply or manual approval per review. Central inbox for multi-location teams.

Hi everyone, I'm Zain, the maker of Responsly. I built it because I kept seeing local and multi-location businesses either ignore their Google reviews or paste the same generic 'Thanks for your feedback!' on every one. Responsly drafts replies in your own brand voice, monitors new reviews across all your locations, and lets you choose what gets auto-answered vs. what you handle yourself. Would love your feedback, especially on whether the AI replies actually read as human to you.
Review response friction is invisible until it compounds. Teams either ignore reviews entirely (reputation damage compounds silently) or spend hours copying the same response 50 times. What Responsly nails is the brand voice consistency angle - instead of manager A writing casual and manager B writing formal, your brand voice stays consistent across 100 locations. Automatic new-review alerts mean you're not hunting through Google Business Profile daily. The ability to auto-reply or manual-approve per review keeps quality control while removing the time sink. This is how reputation management should work at scale.
Hi, I just discovered your project on Fazier and I really like the direction you’re taking. I noticed a strong growth opportunity that could help you reach more targeted users, especially through Reddit community marketing, citation building, and strategic email outreach. Many brands are missing thousands of potential customers because their audience is already discussing their problems, looking for recommendations, and searching for solutions inside niche communities. I help businesses turn those conversations into brand visibility, trust, traffic, and qualified leads through authentic Reddit engagement and conversion-focused email strategies. I’d love to share a few growth ideas tailored specifically to your project. Best Regards, Olayinka Adeoye +1 479 739 7382 (WHATSAPP)
The auto vs manual split per review is the right call. Working with multi-location clients, the reviews that actually need a human are the 1-2 star ones, and those are exactly where a slightly-off AI reply does the damage. Do you route by sentiment automatically, or does the owner set rules per location?
Brand-voice consistency at scale makes sense for the five-star thank-yous — but I'm curious how you handle the angry ones. An auto-reply that slightly misreads a furious customer can pour fuel on a public fire. Is there a human-approval gate for negative reviews, or a confidence threshold where the AI steps back? That trust boundary feels like the whole product.

Hi everyone, I'm Zain, the maker of Responsly. I built it because I kept seeing local and multi-location businesses either ignore their Google reviews or paste the same generic 'Thanks for your feedback!' on every one. Responsly drafts replies in your own brand voice, monitors new reviews across all your locations, and lets you choose what gets auto-answered vs. what you handle yourself. Would love your feedback, especially on whether the AI replies actually read as human to you.
Review response friction is invisible until it compounds. Teams either ignore reviews entirely (reputation damage compounds silently) or spend hours copying the same response 50 times. What Responsly nails is the brand voice consistency angle - instead of manager A writing casual and manager B writing formal, your brand voice stays consistent across 100 locations. Automatic new-review alerts mean you're not hunting through Google Business Profile daily. The ability to auto-reply or manual-approve per review keeps quality control while removing the time sink. This is how reputation management should work at scale.
Hi, I just discovered your project on Fazier and I really like the direction you’re taking. I noticed a strong growth opportunity that could help you reach more targeted users, especially through Reddit community marketing, citation building, and strategic email outreach. Many brands are missing thousands of potential customers because their audience is already discussing their problems, looking for recommendations, and searching for solutions inside niche communities. I help businesses turn those conversations into brand visibility, trust, traffic, and qualified leads through authentic Reddit engagement and conversion-focused email strategies. I’d love to share a few growth ideas tailored specifically to your project. Best Regards, Olayinka Adeoye +1 479 739 7382 (WHATSAPP)
The auto vs manual split per review is the right call. Working with multi-location clients, the reviews that actually need a human are the 1-2 star ones, and those are exactly where a slightly-off AI reply does the damage. Do you route by sentiment automatically, or does the owner set rules per location?
Brand-voice consistency at scale makes sense for the five-star thank-yous — but I'm curious how you handle the angry ones. An auto-reply that slightly misreads a furious customer can pour fuel on a public fire. Is there a human-approval gate for negative reviews, or a confidence threshold where the AI steps back? That trust boundary feels like the whole product.
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