Publish and listen across every network.
Draft, schedule and analyze social content in one workspace — with an AI collaborator that respects your brand voice. Plan, produce and prove the impact of every campaign from one workspace — with warehouse-native audiences, on-brand generation and full-funnel attribution ready for board reporting.
Overview
A single home for ai social media.
AI Social Media gives lifecycle, growth and brand teams an AI-native workspace to plan the campaign, produce the assets, run the send and measure the outcome — without hopping between five point tools that never share context.
Every send is grounded in your CDP or warehouse, guarded by your brand style guide, and instrumented for real attribution across email, ads, social and in-product. Marketers ship more campaigns, keep them on-brand, and get board-ready reporting on what actually drove revenue.
50%
fewer tools
4×
faster time to value
99.99%
uptime
SOC
2 · HIPAA
Problems it solves
What breaks without AI Social Media.
The pain points marketing ai teams tell us they hit before adopting AI Social Media — and how the platform removes each one.
Siloed channel tools
Email, ads, social and in-app run in separate tools with no shared audience, brand or attribution.
Weak deliverability
Poor authentication, warm-up and reputation management push campaigns to the promotions or spam folder.
Generic, off-brand copy
AI drafts sound like everyone else's — style guides live in PDFs, not in the tools that produce content.
Slow legal and brand review
Reviews happen in email threads, blocking sends and killing timely campaigns.
No trustworthy attribution
Last-click and platform-reported numbers don't match warehouse truth, so investment decisions are guesses.
Point-tool sprawl
Four to seven tools per team, each with its own contract, admin and integration debt.
Capabilities
Everything you need to ship.
Multi-network publishing
LinkedIn, X, Instagram, TikTok, YouTube from one queue.
Listening
Track mentions, sentiment and share of voice in real time.
Approvals
Legal and brand review baked into the publishing flow.
Technology
Built on production-grade primitives.
AI Social Media is engineered for teams that need to run AI in production — with the reliability, observability and portability that regulated, high-volume workloads demand.
- Warehouse-native segments on Snowflake, BigQuery, Databricks and Postgres
- Managed SPF, DKIM, DMARC, BIMI and IP warm-up for deliverability
- Brand style-guide enforcement layered over LLM generation
- Multi-armed bandits for continuous A/B/n testing
- Reverse-ETL to email, ads, CDPs and product surfaces
- Multi-touch attribution joined on warehouse identity
- SOC 2, GDPR and CAN-SPAM compliant by default
Why teams love AI Social Media
Outcomes, not outputs.
The measurable benefits marketing ai leaders report after standardizing on AI Social Media.
Launch campaigns 5× faster
AI Social Media compresses briefing, production, review and send into a single workspace with reusable templates and approvals.
On-brand at scale
Every draft respects your voice, style guide and legal guardrails — no more copy-editing AI output line by line.
Warehouse-native segments
Build audiences directly against Snowflake, BigQuery or your CDP with previews and export controls.
Deliverability by default
Managed DKIM, SPF, DMARC, IP warm-up and placement monitoring keep inbox rates high without manual ops.
Adaptive personalization
Per-recipient variants selected by continuous A/B/n tests with automatic winner promotion.
Full-funnel attribution
Multi-touch attribution across email, ads, social and in-product joins on the same warehouse identity.
Board-ready reporting
Narrative reports summarize the campaign, the driver and the impact — ready for the QBR without copy-paste.
How we deliver
From setup to signal in weeks.
Every AI Social Media rollout follows the same repeatable process — designed with your engineering, product and compliance teams in the loop from day one.
1
Brief
Marketing describes the goal, audience and constraints — AI Social Media plans channels, cadence and success metrics.
2
Compose
Draft, personalize and localize creative with your brand voice and legal guardrails preloaded.
3
Approve
Legal and brand review baked into the flow, with side-by-side diffs and audit history.
4
Send & measure
Warehouse-native attribution reports what drove revenue, feeding the next brief automatically.
Expected results
Business impact you can measure.
Typical outcomes teams report within the first two quarters on AI Social Media — instrumented against the metrics your leadership already tracks.
5×
more campaigns shipped per quarter
+32%
average CTR lift on adaptive personalization
+18%
conversion lift with continuous A/B/n
99%
inbox placement on managed sending
Use cases
Where teams use AI Social Media.
Brand marketing
Employee advocacy
Community
Executive presence
Integrations
Plays well with your stack.
First-party connectors — plus 300+ more across the Flyps platform.
Recommended solutions
See AI Social Media in your context.
FAQ
Answers about AI Social Media.
The questions engineering, product and compliance leaders ask most often before rolling AI Social Media out — with detailed answers on implementation, technology and security.