How to Use Google Gemini's New URL Context for Webpage & PDF Analysis

AI models are evolving at a rapid pace. Recently, Google AI Gemini introduced a brand-new feature called URL Context. This tool allows users to upload webpage or PDF URLs directly without downloading or preprocessing and get in-depth document interpretation. Compared with traditional methods of reading web content, it is a much more powerful upgrade.

However, many users reported difficulties when trying out this feature: either it doesn’t work, or no results are returned. Why is that? Let’s break it down.

I. What is URL Context?

Unlike the usual way AI reads webpages—which relies mostly on summaries or extracted keywords—URL Context works differently. It can “flip through” content just like a human reader, parsing the full document structure and data.

Beyond webpages, it also supports PDFs and even images. Compared with traditional RAG (Retrieval-Augmented Generation), URL Context reduces complexity while delivering higher-quality outputs.

That said, there are limitations. It cannot access paid content, and platforms like YouTube (which already have dedicated APIs) are excluded. The maximum size per URL is 34MB, and a single request can process up to 20 URLs.

II. How to Use It

Getting started is simple. Besides following the official API documentation, you can also try it directly in Google AI Studio.

III. Common Issues and Why It Might Not Work

1、Website restrictions
Some sites do not allow their content to be scraped or analyzed, which may cause failures.

2、Network restrictions
If your IP is of low quality or has accessed a site too frequently, the system may flag you as suspicious traffic and block your request.

3、Loading issues
Pages that rely heavily on JavaScript dynamic loading may not return complete results.

IV. Tips for Better Use

1、Optimize your network
Sometimes Gemini or similar AI tools don’t work because of poor network conditions. Switching to a clean U.S. residential IP often improves success rates.
Personally, I usually pair Gemini with IPFoxy static residential proxies, which work smoothly even with image/video generation.

2、Ask step by step
Instead of one overly complex question, first ask Gemini for a general summary, then dive into details progressively.

3、Be specific in your queries
Don’t just say “summarize.” For example:

• On an e-commerce page: ask Gemini to extract “the features buyers care most about.”
• In a product manual: ask it to highlight “the most critical APIs for developers.”Clear instructions lead to more relevant results.

4、Compare multiple pages
URL Context can handle more than one link at a time. For instance, you could compare competitor product pages, pricing strategies, and customer reviews side by side to guide e-commerce optimization.

V. Conclusion

URL Context offers us a new way of retrieving and interpreting information. Whether for e-commerce, market research, or content creation, it can significantly boost efficiency. Hopefully, this article helps you better understand Gemini’s new feature and make the most of it.