I created a lead scraping prompt. Modify it for your use case. https://docs.google.com/document/d/1jI30M9Sp-tjMrnuuy-7y6WClf4znubLQzVgAmBJGMGk/copy?usp=sharing

Learn more about the future of marketing as AI visibility to eligibility transforms how decisions are made in advertising and beyond. Marketers are abuzz about OpenAI ChatGpt Ads That’s the wrong thing to obsess over. It’s like arguing about banner placement while the entire commercial layer of the internet is being rebuilt underneath us. Right now, the debate is framed as a familiar binary: ads vs. no ads. OpenAI is testing sponsored results inside conversational experiences. Anthropic is positioning Claude as a trusted, ad-free assistant. Predictably, the industry response has been to ask: “Where will the ads go?” Look at what Google, Microsoft, and Meta are actually shipping, and the pattern is hard to miss: the big shift isn’t where ads appear, it’s that AI is becoming the decision layer. Welcome to the eligibility era. https://www.searchenginejournal.com/how-ai-is-reshaping-who-gets-recommended-marketing-in-the-eligibility-era

Believe it or not, you're not behind on AI yet. Because the truth is, most people still don't understand how to use it well. By just reading, you'll know more about AI than 90% of the people out there. And if you make it all the way till the end, you'll be in the top 1% of all AI users. I'm going to show you how AI works, the fundamentals you need to use it, how to master it, and how to future proof yourself so AI makes you a weapon instead of replacing you. Starting with how it works. Essentially, you've got all the world's information. I'm talking videos, podcasts, documents, Reddit threads, and then AI analyzed it, and then it did this mathematical equation. It broke all that text into tokens. and then it tries to predict the most logical next token based on what you gave it. It's just like if you say twinkle, twinkle, little, it's gonna say star. That's why most of the answers that come out of any chat AI have a lot of m dashes. It's not because AI likes m dashes. It's because humans like m dashes and it's trying to replicate what it's seeing us create. If you give it really good information, the output is really good because it can use all that input to build context. It's kind of like if somebody tells you all the details of a story and then asks you a specific question, you're more likely going to get it right because you have all the details of the story. That's what AI needs to give you the best outputs and that's where people fall short. The truth is AI isn't magic. It's just pattern recognition with the fancy suit on. So, now that we've covered how AI works behind the scenes, we need to talk about the fundamentals and how you need to use it the right way. The right way to prompt. The more information you give it, aka the prompt, the better the output will look. Did you know you can give it like two, three books worth of information about your question before it even gives you an answer? Most people are giving it a text message. That's giving it nothing and then you're expecting it to do magic.

LinkedIn tested what drives AI search visibility and shared results. Content structure, expert authorship, and timestamps showed the clearest impact. LinkedIn published findings from its internal testing on what drives visibility in AI-generated search results. The company, reportedly among the most-cited sources in AI responses, shared what worked for improving its presence in LLMs and AI Overviews. For practitioners adjusting to AI search, this is a rare look at what a heavily-cited source tested and measured. In a blog post, Inna Meklin, Director of Digital Marketing at LinkedIn, and Cassie Dell, Group Manager, Organic Growth at LinkedIn, detailed the tactics that got results. https://www.searchenginejournal.com/linkedin-shares-what-works-for-ai-search-visibility

Swiped from another group it’s a great question: How do you track your client’s visibility in tools like Google AI-Mode, ChatGPT, Perplexity, and other LLM-driven platforms with a focus on stand-alone tools. Most SEO tools are only starting to bolt this on. But if you want purpose-built tools that focus only on AI visibility, here are three powerful stand-alone options worth checking out: 1. OTTERLY.AI– Best for solopreneurs and small agencies If you want to know how often your brand or client is mentioned in AI-generated answers, Otterly AI delivers. - What it does: Tracks brand mentions across ChatGPT, Perplexity, Google AI Overviews, and Gemini. Monitor specific prompts and keywords, track sentiment, and get alerts when your brand is or isn’t showing up. - Best for: Solopreneurs and small teams that want targeted insight. - Pricing: Lite – $29/month (10 search prompts), Standard – $189/month (100 prompts), Pro – $989/month (1,000 prompts) Super intuitive and fast to get started with. 2. PEEC.AI– Best for agencies that want insights + competitor comparison Peec AI gives you tactical insights into who's showing up in AI answers and why—including your competitors. - What it does: Tracks visibility across ChatGPT, Perplexity, and other AI engines. Helps benchmark your prompts against others and shows which sources are feeding AI citations. - Best for: Agile agencies that want to see brand lift, prompt performance, and competitor share. - Pricing: Starter – €89/month ($95 USD), Pro/Enterprise tiers available - Free trial available (14 days) It's lighter than Profound but still powerful. 3. PROFOUND.COM – Best for enterprise and high-scale visibility tracking Profound is built for deep data: brand mentions, AI prompt analytics, sentiment tracking, and even AI crawler behavior. - What it does: Offers advanced metrics on AI-generated visibility across multiple tools, plus share of voice and citation tracking. - Best for: Larger agencies managing multiple brands or high-value clients who want serious reporting. - Pricing: Lite Plan – $499/month (1 domain, 200 unique prompts/month), Enterprise – Custom pricing available