Run a 10-agent SEO content pipeline
The poster built a 10-agent SEO pipeline, including a research agent that scrapes top SERP results plus Reddit and Quora, and is now offering a hosted version. Task: Suggested implementation: Construct a sequential 10-agent SEO workflow to replace single-prompt generation, which often yields generic drafts and hallucinations. The pipeline inputs a target keyword, then executes specialized agents to research top 20 SERP results plus Reddit and Quora, build an outline, draft in brand voice, fact-check, add E-E-A-T signals, humanize, and polish for SEO. Human role: Reviewers must validate the final output for factual accuracy and brand alignment before publication.; tools: ChatGPT. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include significant development effort (reported as ~12 hours/day for a week) and hosting infrastructure. Integration uncertainty exists regarding the stability of scraping Reddit/Quora and SERP data. Source reliability is low as the original post is inaccessible. Human approval is mandatory for all published content to mitigate residual hallucination risks..
Tools
Published on Agent Work Atlas:
Overview
The poster built a 10-agent SEO pipeline, including a research agent that scrapes top SERP results plus Reddit and Quora, and is now offering a hosted version.
Workflow
Suggested implementation: Construct a sequential 10-agent SEO workflow to replace single-prompt generation, which often yields generic drafts and hallucinations. The pipeline inputs a target keyword, then executes specialized agents to research top 20 SERP results plus Reddit and Quora, build an outline, draft in brand voice, fact-check, add E-E-A-T signals, humanize, and polish for SEO. Human role: Reviewers must validate the final output for factual accuracy and brand alignment before publication.
Reported result
Actual outcomes are unverified due to source access errors (HTTP 403). Reported metrics include a 4-minute generation time and a 20-25% hallucination catch rate, but these lack independent confirmation. Proposed acceptance check: Measure time-to-draft and count factual errors in a controlled test of 10 keywords against a baseline single-prompt workflow.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include significant development effort (reported as ~12 hours/day for a week) and hosting infrastructure. Integration uncertainty exists regarding the stability of scraping Reddit/Quora and SERP data. Source reliability is low as the original post is inaccessible. Human approval is mandatory for all published content to mitigate residual hallucination risks.
Try it
Act as an SEO content manager. I need to pilot a multi-agent workflow to improve article quality. Inputs: - Target keyword: [replaceable keyword] - Brand voice guidelines: [replaceable text or file] - Source files/URLs: [replaceable list of competitor URLs] - Output location: [replaceable folder or CMS draft] Steps: 1. Perform a dry run with one keyword. 2. Simulate the 10-agent sequence: Research (SERP/Reddit/Quora), Outline, Draft, Fact-check, E-E-A-T, Humanize, Polish. 3. Output the final draft and a log of fact-checking corrections. 4. Stop and ask for my confirmation before generating additional articles. Quality Measure: Compare the draft against the keyword intent and check for invented facts. Error Handling: If scraping fails, use cached data or ask for manual input. Safeguards: Do not publish or spend money without my explicit approval. Ask clarifying questions only if the brand voice is undefined.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.