AI Workflow Software

AI workflow software for agentic content chains

Define a multi-step chain once, research, outline, draft, optimise, publish, then run it across topics. Each step is a tool-using WriteWorks AI agent grounded in GSC, prompts, buyer-prompt research, library, and AI search. Up to 25 workflows on Business.

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Trusted by teams winning AI search

GoTeachingJobsFhreshSurge45GraftPalKleepa
25
Workflows on Business
3 / 5 / 25 by tier
5
Stages per agentic chain
Research → outline → draft → optimise → publish
25
Workflows on Business
UI subscribes to status
AO
Amara Okafor
Plan
To-do list
Opportunities
Prompt research
Keyword research
Action
Create
Automate
Sheets
Manage
Library
Measure
Overview
AI search
Agent traffic
Other
Google Search Console
Workflows
Content
Overview
My workflows
Templates
Scheduled
Run history
BuilderAI Search Content Pipeline – Salon Services
The challenge

Why manual chains break at scale

The handoffs that stall multi-step processes.

Manual multi-step processes are slow

Research, brief, outline, draft, optimise, every step a manual handoff, every handoff a chance to drop the loop.

Tools that don't share data

Workflow tools that sit outside the closed loop can't reference your tracked prompts, brand profile, or citation telemetry.

One-off automations don't scale

Scripts that work for one topic break on the next. You need workflows that can be saved, reused, and fanned out.

The solution

How Workflows close the loop

Multi-step chains, tool-using agents, async execution, editor handoff.

Multi-step agentic chains

Define research → outline → draft → optimise → publish (or any chain you want), run it end-to-end, get back finished work.

Tool-using WriteWorks AI agents

Each step is an agent that calls grounded tools: GSC, tracked prompts, buyer-prompt research, content library, AI search, within bounded steps and a token budget. Outputs are grounded and accountable, not generic.

Async server-side execution

Long-running runs persist server-side. The UI subscribes to status, so you can close the tab and come back.

Save once, fan out

Save a workflow once, fire it across many topics. Up to 25 workflows on Business, 3 on Starter, 5 on Professional.

Customer story

How teams are winning AI search

From invisibility to category dominance across every major answer engine.

Measured as a real channel

Before WriteWorks, our content landed and disappeared. Now every asset ships citation-ready, gets cited across the engines our buyers ask, and ties back to the loop. It's the first time we've measured AI search as a real channel.

EM
Elena Mendez VP Growth, Fhresh
Capabilities

Workflow capabilities

Everything inside the agentic chain.

Step chaining

Visual builder for multi-step pipelines.

Tool-using agents

Each step calls grounded tools.

Async execution

Server-side runs, UI status subscription.

Reusable workflows

Save once, fire across many topics.

Editor handoff

Output seeds a new editor document.

Time savings

What changes when chains are saved

Measured savings on multi-step work.

TaskBeforeWith WriteWorksTime saved
Run a 4-step research → draft chainManual handoffs across toolsDefined once, run end-to-endMost of the manual work
Reuse a chain across topicsRe-prompt every timeSave once, fan outAuto
Hand off to the editorCopy-paste workflow outputSeeds a new editor docManual steps eliminated
Included

What's included

Every capability of Workflows.

Multi-step agentic chains (research → outline → draft → optimise → publish)
Tool-using WriteWorks AI agents (GSC, prompts, buyer-prompt research, library, AI search)
Up to 25 workflows on Business (3 / 5 / 25 by tier)
Async server-side execution with UI status subscription
Reusable workflows, save once, fan out
Handoff to editor: seeds new document with title + HTML body
Built for

Built for operators

Content ops, content teams, growth analysts, agency portfolios.

Content operations

Automate research-to-publish pipelines. Scale across brands and intents.

Content teams

End-to-end workflows from one canvas.

Growth analysts

Run grounded research and analysis chains.

Agency portfolios

Workflows duplicated across client brands on the Business plan (5 orgs, 25 workflows).

Featured story

WriteWorks turned AI search from a black box into our most measurable channel. We can show the board how we're cited, our share of voice, and how sentiment is trending, across every engine.

Read the full story
23+
Regions tracked
Sentiment
Scored on every mention
Board-ready
AI-visibility reporting
FAQ

Frequently asked questions

Everything teams typically ask before getting started.

How many workflows do I get?+
3 on Starter, 5 on Professional, 25 on Business. Workflows can be duplicated across organisations on the Business plan.
What's a tool-using agent?+
Each workflow step is a WriteWorks AI agent that can call grounded tools: GSC data, tracked prompts, buyer-prompt research, content library, and AI search results, within bounded steps and a token budget. The agent uses the right tool for the step, then passes output to the next step.
Does the output land in the editor?+
Yes. Workflow output seeds a new editor document with title and HTML body, ready for the three optimisation lenses and final review.
How does async execution work?+
Long-running workflows persist server-side. The UI subscribes to status. You can close the tab and come back, the run continues in the background.
Explore more

Keep exploring

Related solutions, adjacent use cases, and platform features.

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AI workflow software for agentic content chains

Define a chain once, run it end-to-end, get finished work in the editor.