API

Rather than using the SpyderBot interface manually, developers can access platform capabilities programmatically to automate analysis, retrieve intelligence, and build custom AI Visibility experiences.

The API follows the same methodological principles that govern every SpyderBot product, ensuring consistent analytical behavior across both the user interface and developer integrations.

What You Can Build

The SpyderBot API supports a wide range of integration scenarios.

Depending on your subscription and available API capabilities, developers can:

• automate AI Visibility analysis,
• retrieve reports programmatically,
• manage analytical workflows,
• integrate SpyderBot with internal systems,
• build dashboards,
• and incorporate AI Visibility intelligence into existing products.

The API is designed for both internal automation and customer-facing applications.

Core Capabilities

The API provides access to the core capabilities of the SpyderBot platform.

These capabilities may include:

• Brand Insights
• Prompt Intelligence
• LLM Tracking
• Reports
• Credits and usage
• Account resources

Available endpoints depend on the product features supported by your account.

Authentication

API access is secured using API Keys generated from your SpyderBot account.

Authentication is required for all API requests.

API credentials should be stored securely and never exposed in client-side applications or public repositories.

Additional authentication guidance is available in the Developer Documentation.

Developer Documentation

This page provides an overview of the SpyderBot API.

Complete developer documentation includes:

• Authentication
• API Reference
• Endpoints
• Request and response formats
• Error handling
• Rate limits
• Code examples
• SDKs (when available)
• Changelog

Refer to the Developer Documentation for implementation guidance and technical reference.

Related Resources

• Integrations
• Administration
• Trust Center

For technical implementation details, continue to the Developer Documentation.

Frequently Asked Questions

General

What is SpyderBot?

SpyderBot is an AI Visibility Intelligence platform that helps organizations understand how AI systems mention, recommend, cite, and interpret brands, websites, products, and digital entities.

Learn more in Introduction.

Which AI models does SpyderBot support?

SpyderBot supports multiple leading AI systems. Supported models may evolve as the platform expands.

See LLM Tracking for the latest supported models.

Do I need technical knowledge to use SpyderBot?

No.

Most features are designed for marketers, SEO and GEO professionals, agencies, and business teams.

Developers can also integrate SpyderBot using the API and Integration documentation.

Products

Which product should I start with?

Most organizations begin with Brand Insights to understand their current AI Visibility.

Prompt Intelligence is recommended for prompt-level analysis, while LLM Tracking is designed for continuous website monitoring.

Can I export reports?

Yes.

Supported reports can be exported and shared.

See Reports → Export for available export options.

Billing & Credits

How do credits work?

Credits measure usage across supported SpyderBot products.

See Administration → Credits for details about credit usage and consumption.

Can I purchase additional credits?

Yes.

Additional credits can be purchased depending on your subscription.

See Administration → Billing.

API & Integrations

Does SpyderBot provide an API?

Yes.

Developers can automate workflows and integrate SpyderBot into existing systems using the SpyderBot API.

See API.

Which integrations are supported?

SpyderBot currently supports multiple integrations, including analytics, infrastructure, and website platforms.

See Integrations for the latest supported integrations.

Trust & Privacy

How reliable are SpyderBot reports?

SpyderBot follows a structured methodology based on representative observation, evidence-supported interpretation, comparative analysis, and continuous validation.

Learn more in Trust Center → Reliability.

Does SpyderBot use customer data to train AI models?

No.

SpyderBot is designed to analyze AI Visibility while respecting customer data and privacy.

See Trust Center → Privacy.

Where can I learn more about the methodology?

The complete analytical methodology is available in The SpyderBot Methodology.

A summary is also available in Trust Center → Methodology.

Still Need Help?

If you cannot find the information you need, explore the documentation using search or contact the SpyderBot support team.

The documentation is continuously updated as new platform capabilities become available.