I want to pull back the curtain on something I am doing right now with an e-commerce client and share the six scenarios we mapped out in the Phase 1 diagnostic. These are not hypothetical. They are the direct output of an honest audit of where a real brand stands today. The brand has been in business for decades. They have a Shopify store, a Klaviyo account, a Google Ads account, and a Meta pixel. None of it is connected correctly. Sound familiar? Here is what the diagnostic found and what becomes possible once we clean it up. Scenario 1: Story to campaign, start to finish The brand has a creative team. They produce content. Right now that content lives in one place and their marketing automation lives somewhere else. The fix is wiring the two together through a single workflow: the story gets produced, ingested, and turned into a Klaviyo flow, a landing page, and an AI-optimized content piece, all on a shared Google Calendar so every department sees exactly where things stand. This is the storytelling company model in practice. The brand creates. The system distributes. Scenario 2: Honest attribution Their Google Ads account has been paused for years. Their Meta attribution is self-reported by the Meta pixel. Neither number is real. The work here is clean tagging, proper conversion events, and getting every dollar tracked back to actual revenue, not platform-reported ROAS. This is table stakes and most brands do not have it. Scenario 3: Wholesale automation They have hundreds of wholesale accounts in Shopify with nothing behind them. No welcome series. No reorder reminders. Every order placed manually. Klaviyo can fix all of this without a hire. The accounts are already there. They just need a program built around them. This is one of the fastest revenue unlocks available in e-commerce and almost nobody has done it. Scenario 4: Orchestrated product launches Right now when they launch a new product, the email goes out late, the ads start after the launch window, and the creative team is scrambling. The fix is one workflow that coordinates everything: product page copy, email sequence, Google Ads activation, social briefs, Meta retargeting, all on a shared calendar with the whole team seeing what fires when. Planned once, runs every time.

Hey everyone. I hope you enjoy the materials, and I apologize for not being around for a little while to facilitate any discussion. The fact is I have been codifying everything in here to an AI-native stack that we will be launching as a SaaS before the end of the year. Essentially, we have built a stack of the top 34 search engine optimization and branding tools available and given them a brain. Any business can connect to their real-time branding data and metrics and have a conversation with an AI agent to identify gaps in their plan and execute. It's not too good to be true, and I can't wait to show everybody.

I want to discuss AnswerThePublic because it sits at the intersection of traditional SEO and the new world of AI search, making it especially valuable right now. Most keyword tools tell you what people are searching for in a narrow, technical way. They surface volumes, difficulty scores, and lists of phrases, but they don’t really help you think like a human being. AnswerThePublic does something different. It shows how real people phrase their questions, fears, and curiosities about a topic. That is gold for both search rankings and AI visibility. From an SEO perspective, this matters because search has been question-driven for years. Google increasingly rewards pages that clearly answer what people are asking, not just pages that repeat keywords. When we research a service, a product, or a local business topic in AnswerThePublic, we’re not just gathering terms. We’re mapping the customer's mental landscape. That helps us design better service pages, FAQs, blog posts, and landing pages that align with intent rather than guessing. For AI search, the tool becomes even more powerful. Systems like SGE, Perplexity, and ChatGPT search don’t just look for keywords. They synthesize answers from multiple sources and prioritize clear, structured explanations that align with how people think. If you build content that directly addresses the kinds of questions AnswerThePublic surfaces, you are effectively training your site to be more readable, quotable, and trustworthy to AI systems. You’re not gaming the algorithm. You’re making your business easier for both humans and machines to understand. In our work at Sun Digital, we often start here before we write anything. For a local service business, we’ll look at questions like “How much does X cost?”, “Is X worth it?”, “How long does X take?”, or “What’s the difference between X and Y?” Those questions shape our page structure, our headings, and even our messaging. Instead of publishing generic content, we end up with pages that feel genuinely helpful and grounded in real user needs.

We’re adopting Blaze.ai because it solves a very specific problem we’ve been wrestling with in local marketing: helping real businesses show up consistently in the places modern customers actually search, without drowning them in complexity or busywork. Most small and medium local companies already have more to do than they can realistically manage. Owners want leads, not another dashboard, another app, or another “shiny tool” that becomes shelfware. Blaze fits our philosophy because it works quietly in the background to strengthen core local signals instead of creating more friction for the business. At a practical level, Blaze helps us keep Google Business Profiles cleaner, more active, and better aligned with each client’s real services. It reduces the manual grind of posting, updating, and monitoring while still keeping us in control of quality and messaging. That matters, because consistency over time is one of the biggest drivers of local visibility, yet it’s also one of the hardest things for busy owners to sustain. We’re also using Blaze because it integrates reasonably well with the rest of our stack. It doesn’t replace strategy, analytics, or human judgment, but it amplifies them. When our foundations are solid, Blaze accelerates results instead of masking problems. Important note: we are not paid by Blaze.ai, we don’t get referral kickbacks, and this is not a sponsored endorsement. We’re using it because, in our testing, it makes our clients more visible and our workflow more reliable. As we learn more, we’ll share what’s working, what isn’t, and how we’re actually deploying it for local businesses in the real world.

AI for Local Marketing is now about preparing your business for a world where answers are generated, synthesized, and cited by machines rather than ranked as ten blue links. This space focuses on AEO, GEO, SGE, structured data, schema, and the practical information architecture that helps AI systems accurately understand who you are, what you do, and why you’re credible. We’ll explore tools, workflows, and repeatable processes for making your site, GBP, reviews, and third-party presence easy for AI to read, trust, and quote. The goal is not hype or shortcuts, but durable systems that keep your local brand visible as discovery shifts toward AI-driven search.