Never Run Out of Content Ideas Again

Uploaded: 2025-11-25
[“The video introduces a neural network workflow designed to automate content gap analysis for SEO by identifying underperforming keywords and suggesting new content ideas.”,”It explains the process of data extraction from Big Query, content crawling, and the use of a large language model to determine the relevance of keywords for new content creation.”]

channel	AI Automations, Marvomatic
top	Fan_month

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SKU: ejYyC6hgr-w

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Description: This video demonstrates an automated neural-network workflow that identifies content gap opportunities by analyzing BigQuery keyword rankings, crawling existing pages, and using a large language model to decide whether to create new content. It outputs an HTML dashboard stored in Google Drive marking validated ideas for prioritized content creation at scale.

Key steps:

BigQuery: find keywords ranking 10–60 with high impressions.
Crawl: read live page content to capture context and existing coverage.
LLM decision matrix: determine if a keyword is a synonym or warrants new content.
Output: generate an automated HTML dashboard saved to Google Drive; a green batch flags a validated new content idea.

Quotes:

Stop guessing what content to write next.

Automate your entire content gap analysis.

A green batch means that this query is a valid new content idea.