AI Search Optimization: Guide to Answer Engines
Learn how AI search optimization helps content get cited in Google AI Overviews, ChatGPT Search, Perplexity, and Gemini.
13 min read
AICW Stories
A multi-client operating system for LinkedIn coaches and ghostwriters
B2B clients hire you to help them become visible on LinkedIn. AICW Stories keeps their knowledge, drafts, approvals, calendars, and reports in one place.
- Multi-client workspaces
- Client voice capture
- Approvals and revisions
- LinkedIn dashboards and reports
Built for LinkedIn coaches, ghostwriters, and agencies helping B2B clients grow their presence.
How it works
From client input to approved LinkedIn posts and client reports.
01
Client intake
Capture goals, offers, audience, calls, notes, and raw ideas.
02
Extract
Turn expertise into LinkedIn stories, hooks, and post angles.
03
Approve and plan
Share drafts, collect comments, revise, and schedule.
04
Report results
Show posts shipped, approvals pending, and themes gaining traction.
01 · Client intake
Capture goals, offers, audience, calls, notes, and raw ideas.
↓
02 · Extract
Turn expertise into LinkedIn stories, hooks, and post angles.
↓
03 · Approve and plan
Share drafts, collect comments, revise, and schedule.
↓
04 · Report results
Show posts shipped, approvals pending, and themes gaining traction.
Then back to intake
Help clients grow on LinkedIn
Keep voice, cadence, approvals, and performance visible so each engagement improves.
Results vary by client, niche, and consistency.
Features
Manage clients and workflows
One place for each B2B client's goals, pipeline, calendar, and next actions.
Acme SaaS3 drafts due
OpsFlowapproval waiting
FounderOScall to extract
Atlas AIcalendar ready
RevOps Labnew intake
Capture client voice
Save how each client speaks, what they believe, and which stories prove it.
Sales call recording
18:42
Transcript: Pipeline quality beats lead volume.
Transcript: Our best buyers already feel the pain.
Detected from this call
Insights: 12
Approvals and revisions
Keep client feedback, edits, and final sign-off attached to every draft.
Hook rewriteNeeds edits
Sales call storyClient comment
Thursday postApproved
Results tracking
Track reach, themes, approvals, and LinkedIn visibility by client.
Acme SaaS414 (+25) views
OpsFlow1,240 (+180) views
FounderOS802 (+63) views
Atlas AI639 (+41) views
RevOps Lab522 (+37) views
Agency beta pricing
Built for teams managing multiple B2B LinkedIn clients. Beta pricing includes up to 12 client workspaces.
AGENCY BETA
$49
/month
For up to 12 clients.
- Up to 12 client workspaces
- Client voice capture
- Approval rooms and revision history
- LinkedIn content calendar
- Client dashboards and reports
- Team seats included
Common questions
When can I start using it?+
Closed beta opens summer 2026. Waitlist members go first.
Who is this for?+
LinkedIn coaches, ghostwriters, and agencies helping B2B founders, executives, and experts improve visibility on LinkedIn.
Why not just use ChatGPT?+
ChatGPT can draft. The hard part is managing clients: workflows, voice, approvals, revisions, calendars, and reports. AICW Stories keeps that organized.
Where does my content live?+
Encrypted private storage. You own it, export anytime, delete anytime. Only invited team members can access it. We do not train third-party models on your content.
Can clients approve content inside it?+
That is the goal: approval states, comments, revisions, and client-ready views without mixing one client's work with another.
Does it support executive content ops?+
Yes. Use it for founders, sales leaders, product leaders, and subject-matter experts who need clear themes and approved LinkedIn posts.
Can I cancel anytime?+
Yes. No annual lock-in. Export your workspace when you need it.
Managing multiple LinkedIn clients? Reach out for agency setups.
CLOSED BETA / SUMMER 2026
Get early access
Inviting LinkedIn coaches, ghostwriters, and agencies managing B2B clients.
- Shape multi-client workflows with us
- Direct line to the founding team
- Early agency pricing
FROM THE BLOG
MCP Security Playbook for AI Agent Toolchains
Learn MCP security risks, threat models, governance checklists, and rollout advice for securing AI agent toolchains in 2026.
13 min read
Multi-Agent Coding: Production AI Workflows
Learn how multi-agent coding moves AI coding agents from vibe coding to controlled workflows with isolation, review queues, and cost controls.
16 min read