Jonah Jelinski

Augurian is updating an article about how local businesses can improve their visibility in AI-powered search experiences, including Google AI Mode, ChatGPT, Gemini, and Perplexity. We’re looking for insights from local SEO professionals, SEO agency leaders, digital marketing strategists, multi-location marketing leaders, and search professionals with direct experience measuring or improving local visibility in AI search. Our article explores how traditional local SEO signals such as Google Business Profiles, reviews, location data, local content, citations, structured data, and local authority may influence how businesses are discovered and represented in AI-powered search. It also addresses the growing challenge of measuring AI visibility when results can vary by platform, prompt, location, and user. Please answer one or more of the following questions: 1. What traditional local SEO signal do you believe has become more important as consumers increasingly use AI-powered search, and why? 2. Have you seen a local business improve its visibility in ChatGPT, Google AI Mode, Gemini, Perplexity, or another AI search experience? What changes appeared to have the biggest impact? 3. How are you currently measuring local AI search visibility for clients or your own business? Which metrics or methods have proven most useful? 4. What are the biggest limitations or mistakes you see when businesses try to track their visibility in AI search? 5. How important is consistency across a business's website, Google Business Profile, directories, reviews, and third-party mentions when AI systems are evaluating a local business? 6. What role do customer reviews play in AI-powered local discovery beyond their traditional impact on local SEO? 7. What is one tactic businesses are pursuing for "AI SEO" or AEO that you think is overhyped or unlikely to improve local visibility? 8. Over the next two to three years, what do you expect to change most about how consumers discover and evaluate local businesses through AI-powered search? We are especially interested in firsthand observations, client examples, testing, measurable results, or patterns you have seen across multiple local businesses. Please avoid general statements about AI replacing traditional search or speculative predictions without supporting experience. Please include your name, job title, company, relevant experience, and company website. Selected responses may be quoted in an article published by Augurian.

Integrated Cash Logistics is updating an article about restaurant automation trends and how operators are using technology to improve efficiency, control costs, and manage multi-location operations. We’re looking to hear from restaurant owners, franchise operators, multi-unit restaurant executives, operations leaders, restaurant technology consultants, and other professionals with direct experience implementing restaurant automation. The article covers technologies such as automated cash management, self-service ordering, AI-powered voice ordering, kitchen automation, inventory management, labor scheduling, financial reporting, and delivery/fulfillment automation. Please answer one or more of the following questions: 1. Which restaurant automation technologies are delivering the strongest ROI for operators right now, and why? If possible, share a specific example or measurable result. 2. What restaurant task or process do you think operators should automate first? What makes it a particularly strong opportunity for automation? 3. Where does restaurant automation tend to fail? What mistakes do operators commonly make when selecting, implementing, or rolling out new technology? 4. How should multi-location restaurant operators evaluate whether an automation investment is actually working? What metrics or KPIs matter most? 5. How has automation changed the role of restaurant managers or employees at organizations you have worked with? Has it meaningfully reduced repetitive administrative work? 6. Are there restaurant processes that should not be fully automated? Where is human involvement still especially important? 7. What restaurant automation trend do you expect to become significantly more important over the next two to three years? Why? We are particularly interested in firsthand experience, specific examples, measurable outcomes, and lessons learned from actual implementations rather than general predictions about AI or restaurant technology. Please include your name, job title, company, relevant experience, and company website. Quotes may be included in an article published by Integrated Cash Logistics.