Introducing the LLM IP verification tool and API

For around six months I have been tracking LLM bot behaviour and their user-agents across my own sites and across other projects. Patterns are changing fast. Some models are crawling heavily, some barely touch the site, and a growing number of requests arrive pretending to be something they are not. I have seen a noticeable rise in spoofed LLM user agents and mismatched IP ranges that do not line up with the providers they claim to be.

So I built a tool and a simple API that helps to cut through the noise. It verifies inbound requests against known LLM networks, highlights likely spoofing, and provides a clean, trustworthy output you can use for log analysis, dashboards or security checks. And it is completely free.

Why I built it

The rise of AI driven search is reshaping how content is discovered and consumed. These systems do not crawl like Googlebot. They move in different patterns, arrive from different infrastructures and do not always identify themselves cleanly.

I wanted clear visibility. Not guesses. Not fingerprints. Actual verification using known IP ranges, ASN data and behaviour signals. The more I monitored, the more obvious it became that we need better tools for this. Spoofing is becoming more common and many server logs are no longer reliable without proper validation.

This tool gives you a trusted layer on top of your raw logs, so you can see what is real and what is pretending.

How the tool works

The system is lean and designed to be dropped straight into most environments. It runs from a single endpoint, checks inbound requests against an up-to-date list of LLM providers, and flags anything suspicious. The API returns structured JSON that is easy to feed into your own monitoring or analysis.

There are no paywalls or sign ups. You can call the API for quick checks.

It helps with removing the guesswork and gives you clarity.

Why it matters for SEO

We are moving into a world where LLM visibility sits alongside traditional search visibility. If an AI model is using your content to generate answers, you should be able to see when and how it collected that content.

This tool helps you:

• See which LLMs are accessing your site
• Spot spoofed or mislabelled requests
• Monitor crawl patterns over time
• Understand how AI models engage with your pages
• Build cleaner, more accurate server logs

For anyone working in technical SEO, this level of insight is becoming essential.

Open, free and built for the community

The industry needs better tools for understanding AI driven traffic. So I am keeping this project free and open for anyone who wants to use it.

Link to tool: https://chrisleverseo.com/tools/llm-ip-verification-tool/

I will continue adding new providers, updating IP sets and improving the checks as the landscape develops.

Final thoughts

This project comes from genuine curiosity and months of hands on monitoring. LLMs are changing how the web is crawled, and spoofing is becoming a real problem. Having a reliable verifier is an important step forward.