Engagement on LinkedIn, as of 2026-10-19

Reactions
262
Comments
89
Reposts
11
Impressions
31,131
Engagements
557

Source: LinkedIn activity page (reactions, comments, reposts) and LinkedIn creator analytics export (impressions, engagements).

[KNOWLEDGE GRAPH] 1 Industry, 5 Million+ Queries

Problem 1: How do I learn ALL the topics in my industry?
Solution: Structure 5.3M raw queries into a 5-level taxonomy
→ Categories → Subcategories → Intents → Topics → Keywords

Problem 2: How do I use this data?
Solution:
→ Visualize & filter topics at scale
→ Track rankings vs competitors
→ Calculate market share % by topic

Problem 3: How does this drive business impact? [Coming Soon]
Solution:
→ Increase topical coverage with intent-based content
→ 3-4 year content & optimization roadmap
→ Internal linking recommendation engine

Current Scale:
• 5,331,768 keywords indexed
• 913 L1 categories
• 746 L2 subcategories
• 882 L3 intents
• <1ms classification speed

Productivity Impact:
Manual: 1,000 keywords = 2 hours
This system: 5.3M keywords = instant

Select the topics YOU care about → Find opportunities → Start IMPLEMENTING

#KnowledgeGraph
#SEO
#DataEngineering
#Telecom
#AI

Video · 1:05 · Recording of Topical Clustering Engine topic bubble explorer

Shared in my comments on this post

Topical Clustering Engine bubble chart of keyword clusters

First published on LinkedIn on Jan 26, 2026, 1:43 AM UTC (original). Kept here in full so it stays available; the media are this site's copies of the ones on LinkedIn, also in Venkata Pagadala - Universe.

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