QueryHarvest Publisher
QueryHarvest Publisher automates content creation from real audience demand. It fetches recent posts from a chosen subreddit, filters for questions, and transforms each question into a complete SEO blog article (title, slug, intro, steps, conclusion). Outputs are saved to a Google Sheet for editorial review or downstream publishing. Teams use it to scale helpful content, reduce research time, and keep a steady pipeline of articles aligned with search intent. The workflow is modular—swap the subreddit, tune prompts, or add QA steps—so content operations stay fast, consistent, and measurable
Trusted by
Built on OpenAI + Google Sheets with transparent, reviewable outputs; proven approach of AI-assisted drafting at major publishers
Success Story
Associated Press scaled earnings stories from ~300 to 3,000 per quarter using automated writing—example of similar technology
Integrates with
Problem
Content teams waste hours finding topics, drafting outlines, and standardizing posts. Ideas often miss real user intent, and production stalls without a repeatable, measurable process
Solution
QueryHarvest Publisher mines Reddit for real questions, then turns each one into a structured blog post using OpenAI. Articles (title, slug, intro, steps, conclusion) land in Google Sheets for quick QA and publishing
Result
Faster topic sourcing, consistent post structure, higher alignment to search intent, and a steady calendar of publish-ready drafts with minimal manual effort
Use Cases
QueryHarvest Publisher automates content creation from real audience demand. It fetches recent posts from a chosen subreddit, filters for questions, and transforms each question into a complete SEO blog article (title, slug, intro, steps, conclusion). Outputs are saved to a Google Sheet for editorial review or downstream publishing. Teams use it to scale helpful content, reduce research time, and keep a steady pipeline of articles aligned with search intent. The workflow is modular—swap the subreddit, tune prompts, or add QA steps—so content operations stay fast, consistent, and measurable
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Select Subreddits and Filtering Rules
0.5–1 dayChoose relevant subreddits aligned with the target audience. Define filters for question-type posts (e.g., containing “how,” “why,” or “what”) to ensure high-quality topic sourcing
Configure Prompts and Article Schema
0.5–1 dayCreate and refine GPT prompts to generate SEO-optimized blog drafts. Define a structured schema (title, slug, intro, steps, conclusion) for consistent article formatting
Connect Google Sheets and Map Columns
0.5 dayLink Google Sheets to store generated drafts. Map key fields such as title, keywords, summary, and status for easy editorial tracking
Pilot Run on 20–30 Questions
0.5–1 dayTest the workflow on a small batch of Reddit questions. Review tone, content length, and formatting, then fine-tune prompt parameters and structure
Add QA Checklist and Publish Handoff
0.5 dayImplement a quality assurance checklist in Sheets or Notion. Define the publishing handoff process for editors or CMS integration
Schedule Runs and Monitor Metrics
0.5–1 dayAutomate subreddit scans at chosen intervals, track post performance metrics, and continuously optimize prompts for relevance and clarity
Support Included
Setup guide, prompt templates, sample Google Sheet, and QA checklist
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