exa-find-similar

AI similarity matching finds web content semantically related to a given URL by analyzing topics, style, and substance. This Skill accepts a URL, applies AI-powered matching against indexed web content, and returns a ranked list of similar articles, papers, or websites with optional summaries and metadata.

Yes. The Skill supports domain exclusion, allowing you to filter out results from the original website and broaden discovery across independent sources. This is especially useful when researching a topic and want related coverage from external publishers.

The Skill returns structured data including AI-generated summaries of key findings, categorized results, and configurable output formats. You can control result quantity, apply category and domain filters, and receive content summaries to assess relevance without manual review.

AI similarity matching understands semantic meaning and thematic overlap rather than matching exact keywords. This captures related content across different terminology, writing styles, and formats—useful for research where a paper on 'machine learning inference' relates to one on 'neural network deployment' despite different wording.

Similarity matching applies across research papers, news articles, blog posts, and general web content. The Skill works with any publicly indexed URL and finds related pages with similar topics, style, or substance regardless of content format or source type.