The compliance layer for
AI-generated ads & social content.
If your product uses AI to write ads or social posts, one wrong line can get your user's account suspended, content removed or demonetized — or, in a regulated niche, turn into a fine. AuditSocials flags platform-policy and regulatory risk before your users publish, and cites the rule behind every flag — powered by the same engine that already tracks 8 platforms daily.
Try it live — no signup →·Using an AI agent? Set it up as an MCP server →
AI writes the content. Your product owns the fallout.
AI ad and social generators ship content at scale with almost no awareness of what each platform allows right now. When a generated ad gets rejected — or worse, gets a user's account suspended — the blame lands on your product, not the model.
That means churn, support load, and growing regulatory exposure under the EU AI Act and DSA for the tools in the loop. Maintaining live, per-platform policy coverage is a full-time data operation you probably don't want to run — and exactly what AuditSocials already does.
Guaranteed 300% returns in 30 days — invest now!
No risk. Withdraw anytime.
One call in your pipeline —
content in, risk flags out.
A deterministic step between "AI generated it" and "your user publishes it." No model retraining, no policy team — just a check that returns structured risk.
Send the content
Your backend POSTs the generated ad or post, the target platform, and the region to a single endpoint — inside your existing generation flow.
We check it live
The content is evaluated against current platform ad policy and regulatory signals for that platform and market, using the daily-updated AuditSocials policy engine.
You get risk flags
Back comes a structured response: risk level, the policy each flag maps to, and a fix suggestion — so your product can warn or auto-revise before publishing.
Risk-flagging, not a guarantee. The API surfaces known policy risk and cites the rule behind it — it does not claim to predict or guarantee platform approval.
What you're embedding
Not a static rulebook. A live policy layer that stays current, cites its sources, and returns machine-readable risk your product can act on — without hiring a policy team.
Live, not static
Rules reflect what platforms publish now — the policy engine monitors official documentation daily and surfaces changes, so your checks don't rot.
Enforcement-aware
Beyond written policy, checks factor in real regulatory signals — EU DSA, FTC, Ofcom — so risk reflects what's actually being enforced, not just the rulebook.
Region-aware
The same content can be fine in one market and a violation in another. Checks are scoped to the region your user is publishing in.
Structured output
A predictable JSON response — risk level, mapped policy, and a fix suggestion per flag — easy to render in your UI or feed back into your model to auto-revise.
REST first, MCP optional
Integrate as a plain REST call in your pipeline. Agent-native product? The same capability is available as an MCP tool, no separate build.
Sourced & defensible
Every flag traces to a specific rule, and enforcement data carries required attribution — a defensible trail, not a black-box verdict.
{
"content": "Guaranteed 300% returns…",
"platforms": ["meta"]
}{
"verdict": "needs_changes",
"findings": [{
"severity": "critical",
"confidence": "firm",
"matchedText": "Guaranteed",
"suggestion": "Remove absolute return figures"
}],
"credits": { "remaining": 34, "limit": 50 }
}Built to sit inside your product.
If your users generate content that ends up on ad platforms or social feeds, a compliance layer is a feature you can ship without becoming a policy company. One call in, structured risk out.
- AI ad-creative & ad-copy generators
- Social media scheduling tools with AI post generation
- Marketing copy & campaign automation platforms
- Agency-facing automation producing client content at scale
The gain:ship "compliance-safe" as a differentiator, cut policy-driven support tickets, and keep your users' accounts alive — without hiring a policy team.
Start free, scale when you ship
Every plan runs the full deterministic + AI guardrail across all 8 platforms. You're charged on volume, not depth — one credit per check.
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- 50 checks / month
- All 8 platforms
- MCP + REST
- No credit card
For a solo builder or a small agency shipping AI content daily.
- 5,000 checks / month
- All 8 platforms
- Deterministic + AI reasoning
- Email support
For agencies and SaaS products embedding the guardrail in-product.
- 25,000 checks / month
- All 8 platforms
- Deterministic + AI reasoning
- Priority support
Need higher volume or to embed at scale? Talk to us about Scale. Prices in USD, billed monthly, cancel anytime.
Already have a key? Check your balance
See your plan, how many checks you've used this month and how many are left, plus when your credits reset.
Frequently Asked Questions
What is the AuditSocials compliance API?▾
Is the API live yet?▾
How does it integrate — REST API or MCP?▾
Which platforms and rules does it cover?▾
Is this a compliance guarantee?▾
How does pricing work?▾
What data powers the checks?▾
Get started
Pick the path that fits — the same policy engine powers all three.
Agencies & advertisers
Protect client accounts and content — get the monthly platform-risk report.
Request the report →Regulated niches
An auditable pre-publish check — every flag cites the rule behind it.
Try the checker →Product builders
Embed the policy-risk API / MCP in your AI generation loop.
Get an API key →Related Resources
Live Demo
Try the engine — no signup
n8n Templates
Ready workflows for no-code builders
MCP Server
Pre-publish check for AI agents
Key Usage
Check your credits & plan
Policy Tracker
The live engine behind the API
AI Compliance Rules
336 free rule bundles for AI tools
Platform Policies
Per-platform advertising policy guides