Track Google Maps reviews and chat with your customer feedback

Collects your Google Maps reviews, analyzes sentiment with AI, and lets you ask questions about your feedback.

How the work actually flows

It branches. Every path runs.

Pattern: Parallel Split (2)

flowchart TD trig(["scheduled review scrape"]):::trigtime s0["scrape latest reviews"]:::svc s1["analyze sentiment with ai"]:::svc trig --> s0 s0 --> s1 gx{"+ where to send results"}:::gate s1 --> gx p00["send summary to telegram"]:::task gx -->|"notify team"| p00 p10["store reviews in database"]:::task gx -->|"build searchable archive"| p10 p00 --> out p10 --> out out[/"sentiment summary and chat assistant"/]:::out pay{{"spot feedback patterns without reading everything"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itAn outside serviceEvery pathResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGSpreadsheet & Database OpsSurvey & Feedback
Connects
Google MapsApifyOpenAIPineconeTelegram

The problem it solves

Customers leave reviews on Google Maps, but you rarely have time to read through all of them, let alone spot patterns in what people love or hate. Important complaints can sit unnoticed for weeks while you're focused on running the business.

Who it fits

Good for multi-location or reputation-conscious businesses that want to stay on top of customer sentiment without reading every review.

How it works

  1. On a schedule, the system scrapes the latest reviews from a chosen Google Maps listing
  2. AI analyzes each batch of reviews for sentiment and summarizes common complaints and praise
  3. A summary with the sentiment score is sent to Telegram
  4. The reviews are stored in a searchable database
  5. You can message the Telegram bot to ask what people are saying about a specific product, and it answers using your actual reviews
What you get

Sentiment patterns you'd otherwise have to read for

You get a clear read on how customers feel about your business without reading every single review.

What you get

A running sentiment summary of your reviews plus a chat assistant you can ask about customer feedback anytime.

What you need

An Apify account, an OpenAI account, a Pinecone account, and a Telegram account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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