Content Engine

The content engineering engine that closes the loop.

Most tools hand you a dashboard and walk away. The WriteWorks Content Engine does the work: it scans your content for AI-visibility gaps, writes the brief to fix them, helps you engineer the rewrite, and measures the lift in citations, on a schedule, automatically.

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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
AI Search
Analytics
Visibility
Prompts
Query fanouts
Platforms
Regions
Personas
Sentiment
Citations
Citation gaps
Bot signals
Visibility
How often AI engines mention your brand, your share of voice vs competitors, and where you rank across the prompts you are tracking.
Last 30 days
Previous period
Regions
Platforms
Visibility score
0%0%
Visibility score rank
#,
across 34 tracked competitors
Visibility score rank
Citation share rank

Trusted by teams winning AI search

GoTeachingJobsFhreshSurge45GraftPalKleepa
4-stage
Closed loop
Measure → diagnose → engineer → re-measure
Auto
Citation-gap briefs
Generated for every opportunity, ranked by potential
Scheduled
Visibility scans
Set once, new gaps surface as engines change answers
Measured
Outcome tracking
Citation + share-of-voice lift after every change
The challenge

Monitoring stops at the chart

You can see AI engines aren't citing you. What you can't see is which page to fix, what to change, and whether the fix worked.

You can see the gap but not the fix

It's clear AI engines aren't citing you. Which page to fix, what to change, and whether the change worked stays invisible.

Monitoring tools stop at the dashboard

The chart tells you you're losing. The diagnosis, the brief, the rewrite, and the proof it worked all land back on your team, manually, every time.

Audits don't keep up with the engines

AI engines change their answers constantly. A quarterly content audit is stale the week after you run it.

Nobody measures whether the fix moved citations

Most content changes ship on faith. Without before/after measurement, you can't tell engineering from guessing.

The solution

The loop, in four stages

The Content Engine runs the entire cycle as a system, not a one-off project that lands back on your team every time.

1 · Measure

Every tracked prompt is run across 8 AI engines, regions, and buyer personas. A live picture of where you're cited, where you're invisible, and how share of voice moves over time.

2 · Diagnose

The engine continuously surfaces the citation gap, prompts where competitors are cited and you aren't, and the pages closest to earning a citation. Each opportunity is scored for citation-readiness and ranked by potential.

3 · Engineer

For every opportunity, the engine generates a rewrite brief: what's missing, what to add, how to make the page extractable and citation-ready. You execute it in the editor with live AI-visibility scoring, brand-voice checks, and internal-link suggestions.

4 · Re-measure

Shipped changes flow back into the next run. The engine tracks outcomes, did citations, share of voice, and visibility score actually improve, and reports the lift. The loop closes, then runs again.

Customer story

How teams are winning AI search

From invisibility to category dominance across every major answer engine.

Share of voice, proven

We retired three legacy tools and rebuilt our motion around WriteWorks. We can finally see our share of voice on the engines our buyers ask, and prove the lift on every run.

JK
Jordan Kessler Head of Growth, GoTeachingJobs
Capabilities

What's inside

Every part of the closed loop, working on a schedule so AI visibility compounds instead of decaying.

Automated visibility scans

Set it once. The engine scans on a schedule, finds new citation gaps as engines change their answers, and queues the highest-potential opportunities, no manual audits.

Citation-gap briefs

Every opportunity comes with a ready-to-execute brief: the gap, the angle, and the specific changes that make the page citation-ready. No blank page, no guesswork.

Citation-readiness scoring

Each candidate page is scored on how extractable and answer-ready it is for AI engines, so you work the opportunities that move visibility first.

Internal-link engineering

The engine suggests internal links that reinforce topical authority and help engines understand and cite your pages, applied as you write.

Quality gates

Built-in checks keep every rewrite on-brand, accurate, and citation-ready before it ships. Nothing goes out half-engineered.

Before / after diffs

See exactly what changed on every page, and tie each change to its visibility outcome.

Scheduled digests

A recurring summary lands in your inbox: new gaps found, opportunities queued, rewrites shipped, and the citation lift they produced.

Outcome tracking

The only number that matters: did it work. The engine measures citation and share-of-voice movement after every change, so the loop is accountable, not hopeful.

Time savings

What changes when the engine runs the loop

The diagnosis, the brief, and the measurement are done for you, so your team spends its time engineering, not auditing.

TaskBeforeWith WriteWorksTime saved
Find which page to fixManual content auditRanked citation-gap queueContinuous
Write the rewrite briefHours per opportunityAuto-generated per gapHours
Prove the change workedUntracked / on faithOutcome measurement on next runAuto
Keep up with changing answersQuarterly re-auditScheduled scans + digestsContinuous
Strengthen how pages are understoodManual interlinkingInternal-link engineering as you writeBuilt-in
Included

Built on an editorial workflow your team already understands

The engine sits on top of a full content workflow, pipeline board, calendar, briefs, and approvals, so engineering AI visibility becomes part of how you already ship.

Scheduled, automated AI-visibility scans
Auto-generated citation-gap briefs per opportunity
Citation-readiness scoring on every candidate page
Internal-link engineering suggestions, applied as you write
Quality gates before anything ships
Before / after diffs tied to visibility outcomes
Scheduled email digests of gaps, work shipped, and lift
Outcome tracking: citation + share-of-voice movement per change
Editorial workflow: pipeline board, calendar, briefs, approvals
Two-way card-to-document sync from briefed → published
Built for

Who it's for

Teams that need AI visibility to be a measurable, compounding channel, not a hopeful one.

Growth leaders

Make AI visibility a measurable, compounding channel, not a one-off project.

Content teams

Get the diagnosis and the brief done for you, so your time goes to engineering, not auditing.

Product marketers

Close the gap on how AI describes your category, page by page.

Editorial teams

Run the loop on the pipeline board, calendar, briefs, and approvals you already use.

Featured story

We closed the share-of-voice gap across every major engine. Our content team now ships citation-ready by default, and we have the proof to show it.

Read the full story
8 engines
One closed loop
Citation gap
Diagnosed and closed
Precision
Not just presence
FAQ

Frequently asked questions

Everything teams typically ask before getting started.

How is this different from a monitoring dashboard?+
A dashboard tells you you're not cited and stops there. The Content Engine runs the whole cycle: it diagnoses which page to fix, writes the brief, helps you engineer the rewrite, and measures whether citations actually improved, on a schedule.
What are the four stages of the loop?+
Measure (run every tracked prompt across 8 AI engines, regions, and personas), Diagnose (surface and rank the citation gap), Engineer (auto-generate a rewrite brief and execute it in the editor), and Re-measure (track the citation and share-of-voice lift). Then it runs again.
What's a citation-gap brief?+
For every opportunity the engine finds, it generates a ready-to-execute brief, what's missing, the angle to take, and the specific changes that make the page extractable and citation-ready. You start from a brief, not a blank page.
Does it measure whether the fix worked?+
Yes. Shipped changes flow into the next run and the engine reports outcomes, did citation rate, share of voice, and visibility score move. Every opportunity is tied to one of those metrics, so the work is measured in AI visibility, never vanity.
Does it replace my editorial workflow?+
No, it sits on top of it. The engine runs on the same pipeline board, calendar, briefs, and approvals your team already uses, with two-way sync from briefed to published. Engineering AI visibility becomes part of how you already ship content.
Explore more

Keep exploring

Related solutions, adjacent use cases, and platform features.

Get started

Close the loop on AI visibility.

Stop staring at the gap. Start engineering it shut, automatically. Measure, diagnose, engineer, and re-measure in one system.