Customer Support medium to set up

Analyze Google Reviews & Send Sentiment Reports

Fetches recent Google reviews, analyzes sentiment with Gemini, and posts a structured summary to your Slack channel.

Verified 2026-07-07

E-commerce Operator

What it does

Get timely insights on your business reputation by having recent Google reviews analyzed for sentiment and delivered directly to your Slack channel as clear, structured summaries.

How it works

When it runs: On a schedule · Scheduled · on schedule
How hands-off: Assists you, you do the final step
Setup: An afternoon · about an afternoon
Works with: Google Business Profile, Google Gemini Chat Model, Code, Slack

Tools that fit

api

Google Business Profile : Fetch reviews for a business and time period

LLM

Google Gemini Chat Model : Run sentiment analysis on review text

Services

Code : Restructure results into Slack Block Kit format

Slack : Send automated sentiment reports to a channel

Watch out for

Google API quotas are strict so implement caching or batch processing to avoid hitting rate limits during peak times.
Sentiment analysis can misinterpret sarcasm so add a confidence score threshold to flag uncertain reviews for human review.
Slack message length limits exist so truncate long summaries and provide a link to the full detailed report if necessary.
API keys must be rotated regularly so store them in environment variables rather than hardcoding them in your build script.

Seen in the wild

n8n: Analyze Google Business Reviews & Send Sentiment Reports to Slack with Gemi template

Want this running in your business?

This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.

Get in touch

Who it's for

Also fits E-commerce Operator.

Frequently asked questions

Who is this for?

E-commerce Operator, or anyone doing customer support work who wants this handled automatically rather than manually.

How long does it take to set up?

An afternoon: plan for about an afternoon to get it running end to end.

Related use cases

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