Frontier system · Marketing · 6 stages · updated 2026-10-23

Content engine that tracks rankings and rewrites

Finds real questions, drafts with focused editor agents, publishes after a human edit, then watches rankings and rewrites pages that stall.

1Is this my problem?

Content gets published and forgotten; nobody revisits pages that rank on page two or answer the wrong question.

You'll recognise this if…

Dozens of posts with impressions but almost no clicks.
Writers start from keyword tools, not real customer questions.
Editing for style and links takes as long as writing.

Cost of doing nothingOrganic traffic flattens while old pages slowly decay.

Companies affectedSaaS and B2B companies publishing 4+ pieces a month, with 1-5 people in content and Search Console set up.

2Is this solution worth it?

Your ROI, with the assumptions shown

Prefilled with our illustrative assumptions for a typical team (12 h/week of manual work at $55/h, 40% automated). Change them to your numbers.

Build cost (estimate)$8k–$25k

Time to first version (estimate)6-12 weeks

AI agent stages4 of 6

Human checkpoints1

Limits and when not to build it

Skip if you publish rarely, or have no editor to own facts.

Guardrails it needs

A writer owns every fact.
No auto-publishing.
No copied or scraped content.

3How does it work?

The agency builds you one internal tool, Content Engine, that runs the whole process. Watch it work on a sample case:

Content EngineIllustrative demo with sample data

Pick a sample on the left and press Run example to watch Content Engine work through a case step by step.

Your tool connects to

Lead dataDocsAI model

Most of it is ordinary automation. AI agents handle 4 of 6 steps, and people approve at 1 checkpoint.

Under the hood: stages, vendors and the learning loop

AI agent Automation Human checkpoint

1Find demand
Real questions from Reddit and communities; keywords clustered by intent.
n8nReddit APIGPT
AI agentDecides: Which questions have intent?
2Research
Community threads plus internal docs.
GleanZapier Agents
AI agent
3Draft
First draft from a fixed template.
ClaudeGPT
AI agent
4Edit in passes
Separate agents for customer language, style, AI-sounding phrases and internal links.
Zapier AgentsMarketing Skills
AI agentDecides: Edit focus per pass
5Edit and publish
Writer checks facts and publishes.
CMS
Human
6Track
Weekly Search Console and rank tracking.
Search ConsoleBright Data
Automation

Learning loop

Every week, pages with impressions but low click-through get new titles, and pages ranking 8-20 get expanded. The rewrite list is generated from Search Console data. (This site runs the same loop for its own blog and answers.)

Example run

Illustrative sample data showing what moves between stages. Not taken from the sources.

1
Find demand · inr/SaaS, 30 days
out14 real questions about onboarding emails
2
Research · inQuestion
out6 threads + 2 internal docs
3
Draft · inBrief
out1,400-word draft
4
Edit in passes · inDraft
out4 passes: customer words, style, de-AI, 5 internal links
5
Edit and publish · inDraft
outPublished after fact check
6
Track · inWeek 6
outPosition 12, CTR 0.8%: queued for a new title

Vendors commonly used

n8nReddit APIGPTGleanZapier AgentsClaudeMarketing SkillsCMSSearch ConsoleBright Data

Where AI decides and where people do

AI agents decide

Find demand: Which questions have intent?
Research: Community threads plus internal docs.
Draft: First draft from a fixed template.
Edit in passes: Edit focus per pass

Human checkpoints

Edit and publish: Writer checks facts and publishes.

Maturity ladder

What each level adds. Most teams start at level 1 or 2 and climb. Highlighted: where this build sits.

Level 1Basic automation
Write posts from a keyword list.
Level 2AI-assisted
An LLM drafts posts that writers edit.
Level 3Autonomous agent
Agents research real questions, draft, and run focused editing passes; a writer publishes.
Level 4Self-learning system
Search Console data picks pages to retitle or expand every week.

Building blocks

Start with one of these smaller workflows and add stages.

Multi-agent first drafts for feature guides

A writer submits a feature name and help-doc links.

MarketingFrontier~3–8 h/week$4k–$12k Community questions into content and alerts

Monitor relevant subreddits for questions and sentiment about your category; cluster recurring questions and turn them into answer posts or FAQ entries, and alert the team to threads worth a genuine reply..

MarketingStarter~2–4 h/week$800–$3k Coding agent as a marketing team (skills library)

Load an open-source library of marketing "skills" (copywriting, SEO audits, CRO, pricing pages, email) into a coding agent such as Claude Code, Codex or Cursor, and run them against your own site and data..

MarketingAdvanced~3–8 h/week$1k–$5k Customer-facing changelog from merged PRs

Merged pull requests are collected, grouped, and turned into a plain-language changelog draft for customers.

MarketingStarter~1–3 h/week$800–$2.5k

Seen in the wild

Links checked 2026-10-23. The pipeline combines patterns from these public builds; we are not affiliated with these companies.

4Who can build it?

Matched on the services, platforms and industries agencies list on their own sites, and on their published projects.