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PostAura:
AI content marketing from research to publishing

We built PostAura, an AI content marketing platform that researches, drafts and publishes social campaigns across five networks, with approvals controlled by the team.

Client: PostAuraIndustry: SaaS & TechnologyService: AI & Automation

Live at:
Social platforms live
5
Reusable campaign templates
10
Publishing modes per campaign
3

Overview

Project
at a glance

Industry
SaaSSocial media marketing for brands, agencies and creators, whose campaign work is often split across many tools.
How we worked
Product engineering teamOur own team planned, designed and built PostAura as an in-house product, from the AI agents to the publishing connections.
Goal
One workflow from idea to postAutomate repetitive campaign work, while strategy, approvals and brand control stay in human hands.
What we built
AI content marketing platformAI research and drafting, campaign templates, brand voice settings, approval flows, a content calendar, native publishing and analytics.

Client

Who we
built it for

PostAura

AI social media automation platform for brands, agencies and creators

About the client
Social media marketing for brands, agencies and creators, whose campaign work is often split across many tools.
What they needed
Automate repetitive campaign work, while strategy, approvals and brand control stay in human hands.
Where they were
A single social campaign can pass through trend tools, AI chats, documents, spreadsheets and schedulers before anything goes live. Each step means copying work from one tab to the next.

Engagement snapshot

Industry
SaaS
Service
AI & Automation
Engagement
Product engineering team
Delivered
AI content marketing platform
Headline result
5 · Social platforms live

The challenge

What was getting
in the way

A single social campaign can pass through trend tools, AI chats, documents, spreadsheets and schedulers before anything goes live. Each step means copying work from one tab to the next.

Each platform then wants its own format, caption and hashtags. General-purpose AI drafts can drift from a brand's voice, and results often sit in another tool, so the next campaign starts without them.

  • Scattered tools

    Briefs, drafts and approvals end up in different places, and context goes missing between them.

  • Off-brand drafts

    Generic AI output can sound nothing like the brand unless its voice is written down and applied.

  • Repetitive reformatting

    Adjusting captions, hashtags and aspect ratios by hand for each platform eats into planning time.

The solution

What
we built

  1. 01

    Research and campaign planning

    Six scanners feed trends, competitor moves, pain points and opportunities into a live feed. Campaign templates then give that research a structure.

    Scanners
    Six
    Templates
    10 reusable
    Examples
    Launches, seasonal, lead generation
  2. 02

    Brand-guided content

    The AI writes captions, carousels, reels, hashtags and CTAs shaped by goal, audience and platform. Tone rules, banned phrases and reference samples are saved per brand.

    Formats
    Captions, carousels, reels
    Voice
    Saved per brand
    Models
    Routed by task, or your own keys
  3. 03

    Approvals and native publishing

    Drafts move through review, changes and approval with a trail for each role. Approved posts go out through official platform APIs.

    Modes
    Approval, scheduled, full-auto
    Platforms
    Instagram, Facebook, LinkedIn, X, Threads
    Connection
    OAuth

Key features

What made it
useful

  • Calendar

    Content calendar

    Month, week and agenda views show the same queue. Posts can be dragged to a new slot, and platform conflicts appear in line.

    Business impact

    Three calendar views

  • Control

    Modes by campaign

    Each campaign can use an approval queue, scheduled drafts or full automation, depending on how much review the team wants.

    Business impact

    Set per campaign

  • Analytics

    Performance feedback

    Reach and engagement data flows back into the agent, so results inform the plan for the next campaign.

    Business impact

    Results feed the next plan

Before and after

How the work
changed

Research

Before

Browser tabs

Marketers hunt through trend tools and competitor pages for one good angle.

After

Live signal feed

Trends and competitor moves arrive in one feed before the brief is written.

Adapting posts

Before

One post at a time

Each caption and hashtag set is rewritten by hand for each platform.

After

Per-platform variations

The AI prepares a version for each platform in the brand's voice.

Sign-off

Before

Chat messages

Feedback is spread across chats and documents.

After

Tracked approvals

Every review, change and sign-off is recorded in one place.

Results

The business
difference

  1. Publishing

    5 platforms live

    Native posting across five networks

    Posts go directly to Instagram, Facebook, LinkedIn, X and Threads through official APIs, subject to each platform's account rules.

    Before: Copy and pasteAfter: Native APIs

  2. Planning

    10 campaign templates

    Campaigns that start from a template

    Ten reusable templates, from product launches to educational series, fix the shape of a campaign so the AI can fill in the detail.

    Before: Blank pageAfter: Set structure

  3. Control

    3 publishing modes

    Automation the team can dial up or down

    A team chooses per campaign whether drafts wait for sign-off, sit scheduled or publish automatically.

    Before: All manualAfter: Team's choice

Trust and control

How we kept it
safe and reliable

  • 01

    Human sign-off

    Nothing auto-publishes without the sign-off a team has configured, and full automation is opt-in per campaign.

    Approval gates
  • 02

    Platform tokens

    PostAura's site states that tokens are encrypted at rest, refreshed automatically and scoped to the access needed.

    OAuth
  • 03

    Brand separation

    Voice rules are stored per brand, so one client's tone does not carry over into another's drafts.

    Per brand
  • 04

    Activity record

    Publishing actions are logged, and approvals keep a revision history by role.

    Audit log

Faster delivery

Built on tested foundations

The modules run as one connected workflow, from research through to analytics.

  • Research agents

    Scan for trends, competitors and audience needs ahead of each brief.

  • Content generation

    Produces drafts from the campaign goal, brand voice, audience and platform.

  • Workflow and approvals

    Tracks each draft through roles, comments and revision history.

  • Publishing connections

    Post to each network through its first-party API using OAuth.

FAQ

Straight
answers

Have a different question? Ask it on a 30-minute call.

Ask us on a call

PostAura is an AI social media automation platform that covers a campaign from start to finish. It researches trends and competitors, drafts content in a brand's voice, routes drafts for approval, schedules them on a calendar, publishes through official platform APIs and feeds performance data back into the next campaign.

Add AI to your marketing workflow, with people in charge

Thinking about AI agents for content or campaign work? We can build them around the approvals your team already relies on.