# Edge of My Knowledge re PR and AI *Some of these topics are candidates for my paper ([[AI Citation Guide Directory]]).* 1. [[How AI changes user intent]] / [[Intent Classification]] / [[Types of Queries]] 1. Productive 2. Creative 3. Consultive (credit: [Hall](https://usehall.com/guides/ai-search-intent)) 2. Google patents: [[AI Search for Auto Parts - How Google’s New Technology Changed the Aftermarket]] 1. He mentions a lot of relevant patents. 2. I like his deterministic vs. probabilistic search framing. 3. He mentions pairwise ranking, robots.txt, and llm.txt, which I've read about but not integrated into [[The No Nonsense Guide to Getting Cited by AI v9]] 4. I like that he has a step by step although it's a little oversimplified. 3. Requirements unique to [[AI Crawlers]] 4. Cloudflare-Perplexity Fight? 1. https://blog.cloudflare.com/introducing-pay-per-crawl/ 5. [Ranking Manipulation for Conversational Search Engines](https://arxiv.org/abs/2406.03589) 6. "Conversational Search" = "Neural IR"? 7. https://modelcontextprotocol.io/docs/getting-started/intro MCP server? 1. might be useful for giving LLMs private data in a way that is not public consumers 2. query databases??? 8. https://nanda.media.mit.edu/ 9. "AI assistants are rapidly entering the B2B buying process." OR "B2B Buyer Adoption Of GenAI Approaches 100%" 1. citation: [Forrester Buyers’ Journey survey (Nov 2024)](https://www.forrester.com/report/b2b-buyer-adoption-of-generative-ai/RES181769) found ~89–90% of B2B buyers reported using generative AI tools for research in _every phase_ of their purchase process. 2. “Around 9 in 10 B2B buyers have adopted GenAI”... let that sink in. 3. However, their impact differs across stages of discovery, evaluation, and decision-making. 4. Adoption is lower in B2C 5. “speed and convenience [of GenAI] generally outweigh concerns about accuracy” 6. “[by] streamlining and expediting buying research, genAI allows buyers to **consider more vendors** than they would have otherwise” 7. noted explicitly that buyers “use GenAI to consider more vendors and make better business decisions faster” 8. AI assistants are dramatically compressing (mid-funnel) B2B buying cycles (speed up evaluation and decision). 9. On the consumer side, a controlled experiment (1,500 US participants) confirmed ChatGPT searches led to faster and more accurate purchase decisions than Google searches [nim.org](https://www.nim.org/publikationen/detail/how-generative-ai-is-transforming-consumer-decision-making#:~:text=The%20results%20revealed%20that%20ChatGPT,of%20Google%20users%20did) 10. AI agents “collapse” the traditional funnel. One prompt yields a curated vendor shortlist with pros/cons [ust.com](https://www.ust.com/en/insights/the-rise-of-ai-agents-and-the-collapse-of-the-traditional-customer-journey#:~:text=AI%20agents%20collapse%20this%20journey,purchasing%2C%20booking%2C%20or%20planning%E2%80%94executing%20the). By “eliminating redundant steps, agents accelerate time to decision” [ust.com](https://www.ust.com/en/insights/the-rise-of-ai-agents-and-the-collapse-of-the-traditional-customer-journey#:~:text=1.%20It%20compresses%20decision,rely%20on%20brands%2C%20retailers%2C%20or), shifting discovery to automated filtering. 11. In short, both quantitative surveys and user reports consistently indicate that AI assistants accelerate decision speed, expand and improve vendor comparisons, and cut traditional friction in B2B buying. 10. [[MECE (Mutually Exclusive, Collectively Exhaustive) Principle]] and [[Pyramid Principle]] 11. https://ahrefs.com/blog/pr-pitching-opportunities-chatgpt/ 12. https://ahrefs.com/blog/ux-and-seo/ 13. https://ahrefs.com/blog/llm-visibility/ 14. https://ahrefs.com/blog/google-serp-changes-update/ 15. % of ai referred visitors by page type (majority home page and product pages) 16. ## Final thoughts in https://ahrefs.com/blog/ai-visibility/ 17. https://ahrefs.com/brand-radar