Summarize Google reviews for a list of restaurants with AI

Pulls Google Maps reviews for a list of businesses and has AI summarize each one into a spreadsheet.

How the work actually flows

It branches. Exactly one path is taken; runs once per each restaurant in the list.

Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("list of restaurants ready")):::human s0[["Pull reviews for restaurant"]]:::mi s1["Check if reviews found"]:::task trig --> s0 s0 --> s1 gx{"× reviews found or not"}:::gate s1 --> gx p00["AI summarizes reviews"]:::task gx -->|"Reviews found"| p00 p01["Write summary to sheet"]:::task p00 --> p01 p10["Log restaurant for follow-up"]:::task gx -->|"No reviews"| p10 p01 --> out p10 --> out out[/"spreadsheet of review summaries"/]:::out pay{{"faster competitive research"}}:::pay out --> pay s1 -. "failures recorded, run continues" .-> out 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
A stepRuns once per itemA personOne path onlyResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
SEO & Search OptimizationSpreadsheet & Database OpsReporting & Analytics
Connects
SerpAPIOpenAIGoogle SheetsGoogle Maps

The problem it solves

Reading through dozens of Google reviews for every location you manage or analyze takes real time, and it's easy to miss patterns across so much text. Doing this for multiple competitors or locations by hand just doesn't scale.

Who it fits

A multi-location business owner, local marketing consultant, or anyone doing competitor research on restaurants.

How it works

  1. You start with a list of restaurants in a spreadsheet
  2. The system pulls Google Maps reviews for each one
  3. AI summarizes the reviews into key takeaways
  4. Any listing with no reviews found is logged separately for follow-up
  5. Summaries are written back into your spreadsheet
What you get

Reviews boiled down to key takeaways

You get Google reviews for every restaurant on your list summarized into key takeaways.

What you get

A spreadsheet of AI-written review summaries for every restaurant on your list, ready to compare or share.

What you need

A SerpAPI account, an OpenAI account, and a Google Sheets 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

Related automations

Search Google Maps and export business listings to a spreadsheet

Type a business search like the industry and city, and get matching Google Maps listings exported to Excel and Sheets.

Standard

Find and enrich B2B leads using plain English descriptions

Describe your ideal customer in plain English and the system finds matching companies and enriches them with verified contacts.

Advanced

Turn Google Maps business listings into ready-to-use lead lists

The system scrapes local business listings from Google Maps and uses AI to write a clean summary for each one in a spreadsheet.

Advanced

Generate and publish SEO blog posts to WordPress automatically

Turns a keyword list into full SEO blog posts using research and AI, then publishes them to WordPress.

Advanced
Back to the AI Playbook