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Make.com
Professional Services

Social Listening & Response

Brand mention monitoring across social platforms with AI-drafted response suggestions.

Key result<30min
<30min
Response time
100%
Mention coverage
+15%
Brand sentiment
The problem

What needed
solving

Marketing teams were missing brand mentions, competitor activity, and customer complaints posted publicly on Twitter/X, Reddit, and LinkedIn — often discovering them days later.

How it works

The automation steps

Trigger

Brand keyword or competitor mention detected via social monitoring API

Process

Sentiment analysed; urgency scored; competitor mentions filed separately

Output

Response draft generated and sent to marketing team Slack for approval

Notify

Weekly sentiment trend report generated; PR crises escalated immediately

Make.comBrandwatch APIGPT-4oSlackAirtable
Automation architecture

How the workflow runs

Each step fires automatically. Click "Simulate run" to see the sequence.

trigger
Brandwatch
Mention detected
process
Make.com + GPT
Sentiment + draft
output
Slack
Team approval
output
Airtable
Trend tracked
result
<30min
Response time

Click "Simulate run" to see the automation sequence step by step.

Results

The numbers

Concrete, measurable outcomes delivered in production.

<30min
Response time
100%
Mention coverage
+15%
Brand sentiment
How we work

From brief to production

01

Discovery & scoping

We map the problem, understand the existing stack, and write a fixed-price proposal. No surprises.

1–3 DAYS
02

Build & weekly demos

You see working software every week. Feedback is incorporated immediately — not at the end.

2–4 WEEKS
03

Testing & QA

Every integration is stress-tested before go-live. Edge cases handled, fallbacks in place.

3–5 DAYS
04

Go live & handover

Full documentation, team training, monitoring setup, and 30-day post-launch support.

1 WEEK
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