Recommend relevant content to users. Improve crawl rates.

Novacast's machine-learning-powered internal link recommendation algorithm will create a link architecture that's optimal for users and search engines.

• Recommend relevant content to readers

  Share your best content related to an article or podcast with your readers.

  📄 Related content creates more opportunities for readers to engage with your site.

• Build a more robust internal link architecture

  Surface your newest content to your readers, while ensuring existing content maintains the right number of internal links.

  📈 Tip: At least 5 internal links to each page on your site leads to an optimal crawl rate.

• Eliminate orphan links to written and audio content

  Novacast will ensure that your new content is brought into your site architecture in real time.

  💡 Ensure search engines find your new pages easily, no matter how large your site.

Seamless integration with your applications

After setup, retrieving recommendations is as easy as making a HTTP call to our API.

Submit new data and significant modifications to content with a simple HTTP request. Changes are propagated in real-time to the API.

Case Study: James Coffee Blog

Prompt

Decentralized Website Communication with Webmention (Talk Announcement)

Result

All links are relevant to the provided article, including links to articles whose subject is semantically similar to the prompt.

Browse other indexes

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Find out more

Please contact jamesg [at] jamesg.blog for more information.