Viewership.ai
Services / Content Automation

Publish at scale without losing your voice.

GEO requires consistent, high-volume publishing. We build the automated workflows that make that possible, without the generic output most automation produces.

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Content pipeline

Running
Topic pulled from strategy queue
Brief generated from template
Draft written and brand-checked
SEO and citation optimization
Editorial review
Published and tracked

What's included

Brand voice documentation

A detailed voice guide built from examples of your best existing content. This becomes the input that keeps automated output sounding like you.

Automated production pipeline

A custom workflow, built by Connor, that takes a topic from the strategy queue to a publish-ready draft. Includes briefing, drafting, and QA steps.

Editorial QA process

Automated drafts get reviewed against the brand guide before they touch your calendar. You approve, we manage the queue.

Content calendar management

We own the calendar and keep the publishing schedule consistent. No chasing down writers or managing freelance relationships.

Performance feedback loop

Citation data feeds back into the pipeline. Topics that generate citations get more coverage; underperformers get revised or cut.

Workflow integrations

We connect the pipeline to the tools you already use: Notion, Webflow, WordPress, and others. No new software to learn.

How it works

01

Voice documentation

We analyze your best existing content to build a detailed brand voice guide covering tone, structure, language patterns, and what to avoid. This becomes the foundation that keeps automated output sounding like you, not generic AI copy.

02

Pipeline build

Connor builds a custom automation workflow that moves topics from your strategy queue through briefing, drafting, brand-checking, and SEO optimization. The pipeline is scoped to your publishing volume and integrated with the tools you already use.

03

Editorial QA and publishing

Every automated draft is reviewed against the voice guide before it touches your calendar. You approve final content, we manage the queue, scheduling, and publish cadence. No chasing writers or managing freelance relationships.

04

Performance feedback loop

Citation data feeds back into the pipeline so topics that generate LLM mentions get prioritized and underperformers get revised or cut. The system improves over time as it accumulates performance data.

Ready to build your content engine?

We'll scope it to your brand and publishing goals.

Start a project