Meet Rob Hoffmann, the founder of the AI SEO LLM marketing tool "Mentions." Our conversation focuses on the evolving landscape of search engine optimization (SEO) due to the rise of Large Language Models (LLMs) like ChatGPT, Claude, Grok, DeepSeek, and Perplexity etc,, which are becoming alternatives to traditional Google search.
Rob Hoffmann discusses his journey into entrepreneurship, which started with an SEO agency called Contact, and how the need to track and improve brand visibility on these new AI platforms led to the creation of Mentions, which helps brands appear in LLM recommendations.
Throughout our interview, Rob Hoffmann emphasizes the importance of reverse engineering consumer behavior, the need for excellent customer service (even providing his direct phone number to customers), and the affordability of mentions compared to competitors. Our discussion concludes with practical advice for businesses on determining if investing in LLM visibility is worthwhile based on their customer's buying journey.
FAQs
1. What is Mentions, and why was it founded?
Mentions is a tool that assists brands and SEO agencies in navigating the evolving search landscape dominated by Artificial Intelligence (AI) and Large Language Models (LLMs).
Founding Rationale:
• Mentions was born out of Rob Hoffmann’s SEO agency, Contact.
• The shift was necessitated by the recognition that SEO had "changed a lot" recently in response to AI, with search trends moving away from Google and "towards platforms like ChatGPT" (along with Perplexity, Gemini, Claude, etc.).
• The founding goal was to be "the SEO agency of the future".
• The tool was specifically created to solve two problems: providing a way of measuring brands visibility on LLM platforms, and helping brands get more visibility on platforms like ChatGPT.
2. Why are LLMs becoming preferred search alternatives, and how does this affect marketing?
People are increasingly turning to LLMs because consumer trust in traditional Google search results (the SERP’s top 10 links) has declined, as many users feel these results have been "gamed" by marketers.
• Trust in ChatGPT: Conversely, trust in ChatGPT is "through the roof". This is because the chat-based interface makes interaction feel like a conversation with a friend or even a therapist, providing personalized responses from an "all-knowing AI entity".
• Customer Acquisition Channel: Because ChatGPT is becoming a frequently used search engine alternative, showing up in its responses when a user searches for a product (e.g., "what is the best organic sulfite free shampoo") is seen as a "great customer acquisition channel".
3. How does the mention tool conceptualize LLM visibility (GEO)?
Mentions is built on the understanding of how modern LLMs generate answers: LLM + search operator = the result.
• The Process: When a user inputs a query (e.g., "what is the best shampoo for dry scalps"):
1. The LLM searches the internet (like Bing or Google).
2. It scrapes the top 10 to 20 results that show up on those search engines.
3. It digests, summarizes, and serves that information to the user.
• The Strategy: For a brand to achieve visibility in LLMs (GEO), they must first show up in those underlying search results (traditional SEO). Mentions helps brands reverse engineer the process by figuring out how platforms like ChatGPT get their data and, critically, what sources they are citing to provide responses, thereby guiding the brand to become a cited source.
4. What are the key features of the mentions platform?
Mentions helps users understand and optimize their content strategy based on LLM data.
• Prompts Section (Favorite Feature): This allows users to track specific searches or prompts. When tracking a prompt, mentions shows examples of conversations and, most usefully, lists the pages that are most being cited by ChatGPT. This list provides an "easy road map" for the brand to know wheth
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