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SEOIntermediate
Track Brand Mentions
Robomotion•Updated 3 weeks ago
Overview
Every evening, searches the web for pages that mentioned your brand in the last 24 hours, classifies each mention as positive, negative or neutral, writes them into a dated Google Doc, and posts a Slack summary with the sentiment split and a link to the doc.
Track Brand Mentions
Every evening, searches the web for pages that mentioned your brand in the last 24 hours, classifies each mention as positive, negative or neutral, writes them into a dated Google Doc, and posts a Slack summary with the sentiment split and a link to the doc.
How it works
- Daily — an Inject trigger repeating every 86,400 seconds.
- Set Parameters — the keyword is wrapped in quotes so Content Analysis matches the exact phrase; without them a two-word brand matches pages containing either word. A
fetch_timefilter keeps the result set to the last day. - Find Mentions —
DataForSEO.ContentAnalysis.Search, up to 1000 results, newest first. - Classify Mentions — whichever connotation (positive / negative / neutral) scores highest wins the mention. A quiet day takes the second output and stops here.
- Create Mentions Doc → Write Heading → Write Mentions → Compose Slack Summary → Post Summary.
The sentiment counts in the Slack message are the point: three positive mentions is a good day, three negative ones is something to look at tonight. The doc is there for when the number surprises you.
Setup
- DataForSEO credential — API login and password from https://app.dataforseo.com/api-access.
- Google credential — Service Account or OAuth2 able to create documents.
- Slack credential — a bot token with
chat:write. - The brand keyword in Set Parameters.
Ported from
- Track Brand Mentions with DataForSEO — DataForSEO template
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