Friday, May 1, 2026

POP.STORE launches agentic AI concierge 

POP.STORE launches the first agentic AI commerce platform, aimed to assist real estate agents and brokers.

POP.STORE, the agentic AI commerce platform built for creators who turn social attention into owned businesses, announces the launch of its self-selling real estate listing tool. The platform is built for the agent who has mastered social media but has no infrastructure to catch the demand they’ve created.

The platform pairs AI-powered Smart Listings with an Agentic AI Concierge that works every listing 24/7 by proactively engaging with potential buyers. It also answers questions within the listing with detailed responses and booking open house and private tour requests.

This first-of-its-kind capability enables brokers and agents to move social engagement from just followers to qualified showings and closed transactions, while freeing agents from the endless cycle of manual responses, repeated buyer questions, and calendar chaos.

Homebuyers and sellers today find their agent before they find their home, discovering properties, neighbourhoods and experts on TikTok, Instagram, and YouTube long before they ever visit a traditional listing platform. The best agents have become creators, building real audiences and generating genuine inbound demand through content.

Agents are left manually responding to every comment, DM, and inquiry, which is often happening in the middle of the night with no system in place to capture the demand they worked to build. 

Every unanswered message is a prospect quietly moving on to an agent who responded faster, and the harder an agent works to grow their audience, the more unmanageable the volume becomes.

“At a certain point, the volume just becomes impossible to manage manually. You’re getting comments, DMs, and questions at all hours — and every missed response is potentially a lost deal. POP.STORE brought everything into one system so I can actually keep up with the demand I’ve built.”

Glennda Baker, Atlanta-based Real Estate Agent

POP.STORE for real estate gives every agent a social-adjacent Smart Listing site, a high-converting destination where social traffic lands and an agentic concierge takes over. The concierge proactively sells the listing, qualifies every prospect, books showings directly into the agent’s calendar, and captures all lead data into a database the agent owns and keeps forever.

A second AI Agent runs simultaneously across the agent’s social channels, responding to comments and DMs, identifying purchase intent, and moving warm prospects into the agent’s owned funnel, even when the agent is completely offline.

Agents using POP.STORE have reportedly more than doubled their inbound leads after centralising their social traffic and putting AI to work on their behalf.

POP.STORE’s ECHO-ME initiates conversation. It knows every property an agent is listing and can answer buyer questions, whether a neighbourhood is kid-friendly, when showings are available, or whether a home works for a specific family, in near real time.

When a buyer has a question at 10pm, an agent today either misses it or scrambles to research and respond manually. ECHO-ME eliminates that entirely. It knows the property, it knows the neighbourhood, and it understands not just what buyers are asking, but what they need to hear to move forward.

“The best agents will always win on relationships and expertise. What ECHO-ME does is make sure they never lose a deal simply because they couldn’t respond fast enough. It initiates the conversation, handles the questions, books the showing — so agents are only in the room when it truly matters.” 

Jo Wong, CRO, POP.STORE

When someone asks questions ECHO-ME doesn’t return a fact sheet. It reads the intent behind the question and responds the way a knowledgeable, fully prepared agent would before moving seamlessly into booking a private showing or securing an open house RSVP. Every conversation is a conversion opportunity, none of them get dropped.

Deviki Patel
Deviki Patel
Deviki is a Digital Journalist at AI PropTech News, Rental Living News and BTR News. She holds a BA (Hons) in Law and an LLM from the University of Leicester. Having transitioned from a background in property law, she brings a strong foundation in research and analytical thinking, supporting the delivery of well-informed, insight-led content across the Living and PropTech sectors.

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