1. Introduce the 50-50 AI workflow and the goal of the demo 0:00 - Frame the video as a human + AI collaboration: - Alex brings experience, judgment, and context. - AI brings speed, pattern recognition, and pressure testing. - State the purpose of the demo: - Show how to use Gemini in Chrome. - Demonstrate a practical, underused tool that everyone can access. - Set expectations: - This is a live workflow, not a polished case study. - The goal is to show how AI can help analyze a real business site. 2. Pick a real local business and inspect the search results 0:48 - Use a real query to keep the example grounded: - Search for something like “painters for roofs near me”. - Scan the results page like a user and an SEO: - Note paid ads. - Note map pack results. - Identify the first organic listings. - Choose one business to analyze: - In this case, Ranger Painting. - Ask the key first-impression question: - Can you tell in 5 seconds who they are, what they do, where they work, and how to take action? 3. Check the site’s current positioning and identify dilution 1:55 - Copy the business URL and inspect indexed pages using a site: search. - Look for signs of weak focus: - Multiple pages targeting different locations at once. - Mixed intent across Cedar Park and greater Austin. - Call out the core issue: - The site is fragmented. - One page is trying to serve too many audiences. - Explain the SEO implication: - A focused page for one location and one intent usually performs better than a diluted page. 4. Run the Deep Entity Visibility Scan prompt in Gemini 2:36 - Use a prepared prompt called Deep Entity Visibility Scan and AI Retrieval Reinforcement. - Paste the business website into the prompt and submit it in Gemini. - Show the exact prompt on screen for transparency. - Explain why this matters:

There is a useful shift happening in SEO right now. We are moving away from asking, “How do I rank this page?” And toward asking, “Can a person or machine understand this business correctly from its digital footprint?” That includes the website, Google Business Profile, service pages, location pages, reviews, photos, videos, social profiles, citations, and every supporting signal around the brand. AI systems do not discover businesses by intuition. They work with what they can retrieve and connect. They need clear names, clear relationships, current information, structured pages, evidence, and context. Think about the difference between these two businesses: Business A has strong services and happy customers, but its website is vague, its locations are inconsistent, its images have no context, and its important pages are disconnected. Business B has comparable services, but its information is structured: every location, service, proof point, image, video, and internal link helps explain the business accurately. Which one is easier for Google, Maps, ChatGPT, Gemini, and future AI systems to understand and recommend? That is the real value of SEO now. It is not a trick for traffic. It is the organization layer between your actual business and the systems that introduce customers to it. The work starts with a few questions: - Can a machine identify exactly what you offer? - Can it connect each service to the correct location? - Can it find credible proof? - Can it tell what is current and what is historical? - Can it follow the relationships across your site without guessing? Share one part of a local business’s digital footprint that is usually disorganized in your experience. If you want help auditing or building this organization layer for your own business or clients, message me. I provide local SEO, entity clarity, structured content, and AI visibility services.