Too many SEOs are guessing (or worse spreading known misinformation for LinkedIn clout) about what actually helps being cited in LLMs like ChatGPT, Claude, Perplexity, Gemini etc.

Let's stop doing that - I wanted to talk to Nils Reimers, the inventor of "Sentence BERT" and an expert in LLMs, natural language processing and more to sort out truth from fiction.

LOTS covered in this episode!

Nils Bio (via Claude)

Nils Reimers is the inventor of Sentence BERT, the research breakthrough that made semantic search scalable and now underpins how companies like Google, Netflix, and OpenAI understand and retrieve information.

He currently works at Cohere, where he focuses on building large language models for enterprise use cases, including custom multilingual models for global companies like Fujitsu and LG.

Work with me on SEO, AI Search, YouTube and Organic Visibility: ⁠https://www.evolvingseo.com/⁠

Covered this episode! Chapters auto generated by Riverside:

00:00 The State of SEO in the Age of LLMs

12:08 Understanding BERT and Sentence BERT

21:41 SEO Strategies for the Future

28:42 Cohere and Multilingual Embeddings

34:14 Re-Rank Models and Their Impact

35:31 Balancing Speed and Quality in SEO

36:01 Optimizing Content for LLMs

39:32 Engagement vs. Directness in Content

40:30 The Evolution of SEO Practices

43:32 The Challenge of AI-Generated Content

46:51 The Role of Schema and Structured Data

48:37 Understanding LLMs.txt and Its Relevance

50:14 The Problem of Training Data Quality

52:40 The Potential of Video and Audio Sources

55:17 Strategic Shifts for Businesses in the AI Era

01:00:03 The Future of Jobs in an AI-Driven World

01:05:36 AI Tools and Their Impact on Work