Want to automate your AI visibility audits, integrate results into your internal dashboard or connect AILabsAudit to your existing tools? The REST API v1 is built for that. This practical guide walks you from your first request to advanced integration patterns.
Why integrate the AILabsAudit REST API?
The AILabsAudit web interface is ideal for manual use, but has its limits when you manage dozens of clients or need to automate workflows. The REST API opens possibilities the interface can't offer:
- Full automation: Launch scheduled audits via cron jobs or CI/CD workflows
- Dashboard integration: Display AI visibility scores directly in your reporting tool
- Custom alerts: Detect visibility drops and automatically notify your teams
- Custom reports: Combine AILabsAudit data with your own metrics for enriched reports
- CRM sync: Link audit data to your client records in your CRM
What you can do with the API
Client management
Access your entire client portfolio via the /api/v1/clients endpoint. Retrieve details, contacts, competitors and the complete 360° view for each client.
Audits and results
Launch new audits programmatically with POST /api/v1/audits/launch, track their progress and retrieve detailed results: visibility scores, AI model performance, trends and comparisons.
PDF reports
Download premium PDF reports via GET /api/v1/reports/{id}/download to integrate them into your automated client delivery workflows.
Analytics and portfolio
Access advanced analytics: portfolio overview, visibility ranking, score distribution. Perfect for building multi-client tracking dashboards.
Quick start in 3 steps
Step 1: Create your API key
Go to Account → API & Integrations and create a new key. It will start with aila_.
Step 2: Test the connection
First request
curl -H "X-Api-Key: aila_your_key" https://ailabsaudit.com/api/v1/clientsIf you see your client list in JSON, everything works!
Step 3: Explore the endpoints
Check the complete REST API tutorial to discover the 8 endpoint groups, or explore the Swagger documentation directly.
Common integration patterns
Automatic scheduled audits
The most popular use case: a cron job that launches an audit for each client at regular intervals (weekly or monthly), retrieves results and stores them in your database.
# Example: monthly audit for all clients
import requests
API_KEY = "aila_your_key"
BASE = "https://ailabsaudit.com/api/v1"
headers = {"X-Api-Key": API_KEY}
clients = requests.get(f"{BASE}/clients", headers=headers).json()
for client in clients["data"]:
requests.post(f"{BASE}/audits/launch",
headers=headers,
json={"client_id": client["id"]})
Dashboard embedding
Integrate visibility scores into your own dashboard by calling the analytics endpoint:
scores = requests.get(f"{BASE}/analytics/leaderboard", headers=headers).json()
# Display in your interfaceVisibility drop alerts
Compare scores between two successive audits and send an alert (email, Slack) if a client loses more than 10 points:
audit_history = requests.get(
f"{BASE}/audits?client_id=42&per_page=2",
headers=headers
).json()
# Compare scores and alert if neededBest practices
Respect rate limiting
The API allows 60 requests per minute per key. Space out your calls and implement exponential backoff for 429 errors. Check the X-RateLimit-* headers to monitor your usage.
Cache responses
Audit data doesn't change frequently. Cache responses (Redis, local file) for 1 to 24 hours to reduce API calls and improve your application's performance.
Handle errors properly
The API returns standard HTTP codes and JSON error messages. Handle at minimum 401 (invalid key), 429 (rate limit) and 500 (server error) cases.
Secure your key
Store your API key in an environment variable, never in source code. Use different keys per environment (dev/production) and immediately revoke a compromised key.
Useful resources
Go further
Explore these resources to master the REST API:
- Complete REST API tutorial — Step-by-step guide with code examples
- Swagger documentation — Interactive reference for all endpoints
- Glossary: REST API — Definition and key concepts
- MCP Guide — Connect your AI directly to AILabsAudit
FAQ
What subscription is needed to access the REST API?
The REST API is available with Enterprise and Partner plans. Free and standard plans don't include API access. Request partner access to get started.
Does the REST API use the same keys as MCP?
Yes, it's the same API key (format aila_...). You can use it for both REST calls and MCP connections. Create it from API & Integrations.
What is the request limit?
60 requests per minute per API key. Response headers (X-RateLimit-Remaining) indicate your real-time usage.
Can I launch audits via the API?
Yes, the POST /api/v1/audits/launch endpoint allows launching audits programmatically. You can estimate credit cost beforehand and track audit progress.
Is there an official SDK?
Not yet, but the REST API tutorial provides complete examples in Python, JavaScript and PHP that you can use as a foundation. An official SDK is in development.
Conclusion
The AILabsAudit REST API is the key to moving from manual usage to full automation of your AI visibility audits. Whether you want to schedule recurring audits, integrate scores into your dashboard or create custom alerts, the API gives you the tools to do it.
Ready to automate?
