Projects using SEO PowerSuiteProjects using SEO PowerSuite
Cover image for Sometimes your entire marketing strategy
Sometimes your entire marketing strategy can fit on one sign. LIQUOR. WEED. BEER. ICE. 😂 Message received. I passed this billboard and had to take a picture because, as ridiculous as it looks, there’s actually a pretty good business lesson hiding in it. This business probably doesn’t need a 14-step nurture sequence explaining what they sell. They don’t need an AI chatbot educating customers about their value proposition. They may not need an elaborate content strategy or a beautifully engineered sales funnel. They need people driving by to know: “Yep. We have that.” And apparently they decided subtlety was optional. But here’s the important part: That strategy works for their business. It probably wouldn’t work for yours. A local convenience-driven retailer, a roofing company, a consultant, a SaaS company, an e-commerce brand, and a $20,000 B2B service should not have the same marketing system. Yet businesses constantly get sold the same formula: “Post more content.” “Run Facebook ads.” “Build a funnel.” “Add AI.” “Automate everything.” Maybe. Or maybe you just need a giant sign that says WEED. The point is that good marketing starts by understanding how your customer actually buys. Where do they discover you? What makes them stop? What information do they need before they trust you? How long does the decision take? And what friction exists between “I’m interested” and “take my money”? Build the system around those answers—not around whatever marketing tactic happens to be trending this month. Sometimes the right solution is a sophisticated combination of websites, CRM, automation, AI, content, lead nurturing, and analytics. Sometimes it’s four words on a billboard. Knowing the difference is the strategy. And whoever designed this one? They definitely understood the assignment. 😂 What’s the simplest marketing strategy you’ve ever seen that actually worked?
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Cover image for Built a full AI consulting
Built a full AI consulting business system — from website to outreach machine. For a boutique AI consulting firm targeting mid-market companies in the US and Europe, I designed and shipped the full technical stack: Production website (React + TypeScript + Express) Not just a landing page. A conversion machine: lazy-loaded routes, per-page SEO metadata, structured data for Google, a sitemap, an OG image for social sharing, and Lighthouse-ready performance fixes (including a Framer Motion LCP bug that was silently tanking search rankings). AI Diagnostic Tool A multi-step lead qualification form that calls Claude under the hood, generates a personalized automation ROI report for each prospect, and delivers it at a unique URL — with prompt injection protection baked in (XML-delimited user inputs, system prompt hardening). Security layer CSP headers, correct trust-proxy config for a Cloudflare + Railway dual-hop topology, hardened email notification logic, and temp file cleanup that survives errors. Production-grade, not tutorial-grade. LinkedIn prospecting engine A Python + Playwright scraper that: Rotates across 10 industry niches Qualifies leads by title, location, and post recency Auto-generates personalized connect requests (≤300 chars) and follow-ups via Anthropic API Exports to Excel, deduplicates across runs Currently targeting Property Management decision-makers in Florida & Texas This is what "full-stack AI consulting infrastructure" actually looks like in practice. What was built A production-ready AI consulting business stack, covering six layers end to end. On the frontend, a React SPA with TypeScript, lazy-loaded routes, per-page SEO metadata via react-helmet-async, and full internationalization in English, Spanish, and Danish. The SEO layer included a sitemap, robots.txt, JSON-LD structured data schemas for Google, a custom OG image at 1200×630px for social sharing, and a performance fix for a Framer Motion bug that was silently blocking the page's Largest Contentful Paint — meaning Google couldn't properly index the main headline. The backend is an Express + TypeScript API deployed on Railway, hardened with Content Security Policy headers, correct trust proxy configuration for a Cloudflare + Railway dual-hop topology, and proper temp file cleanup that survives errors. The AI feature is a multi-step diagnostic form that sends the prospect's business data to Claude, generates a personalized automation ROI report, and delivers it at a unique shareable URL — with prompt injection protection built in so user-submitted text can never hijack the LLM's instructions. On the security side, all user-controlled fields are wrapped in XML delimiters in the prompt, environment variable handling was hardened to eliminate silent fallbacks, and no sensitive data leaks through error paths. Finally, the outreach system is a Python + Playwright scraper that rotates across industry niches, qualifies leads by title, location, and post recency, then uses the Anthropic API to generate personalized LinkedIn connect requests and follow-up messages for each lead — exporting everything to Excel with deduplication across runs. Key technical problems solved LCP blocked by Framer Motion: opacity:0 on H1 prevented Google from indexing the headline. Fixed by rendering plain HTML on first paint. Prompt injection risk: All user-submitted fields wrapped in XML delimiters + system prompt instruction to treat them as data, not commands. Dual-hop proxy misconfiguration: trust proxy: 1 was wrong for a Cloudflare → Railway topology. Corrected to 2 to get real client IPs in logs and rate limiting. Location-aware lead qualification: Scraper's filter system refactored to support per-niche target_locations, enabling pivot from Danish to US markets without touching core logic.
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Cover image for The best SEO company in
The best SEO company in NYC won’t win AI search with backlinks alone. AI visibility is built on 8 foundations and missing just one can weaken everything above it. Here’s what matters: Crawler Access If AI crawlers can’t reach your content, they can’t cite it. Technical Health Fast, clean, mobile-friendly pages make your content easier for machines to process. Schema Markup Structured data helps AI understand what your pages, products, organizations, and content actually represent. Content Structure Clear H1s, H2s, H3s, short paragraphs, and answer-first sections make information easier to extract. Entity Authority AI needs to understand that your brand is a real, recognizable entity — not just another website. Original Data Unique research, statistics, expert insights, and named authors give AI something worth citing. Off-Site Footprint Reddit, Quora, industry publications, reviews, and other third-party sources can strengthen the signals around your brand. Freshness & Maintenance Outdated content loses relevance. Your strongest pages need regular updates with current information. The problem is that most businesses optimize only one or two of these. They improve rankings. Publish more blogs. Build backlinks. Then wonder why their competitors appear in ChatGPT, Gemini, or Perplexity. The reality? AI search rewards the entire ecosystem around your brand. That means SEO is no longer just: Keywords → Rankings → Traffic. It is becoming: Technical foundation → Structured content → Entity authority → Original information → Off-site trust → AI citations → Business visibility. That’s the shift a best digital marketing company in NYC needs to understand. You don't need to “hack” AI search. You need to build a brand that AI can crawl, understand, verify, trust, and cite. Which of these 8 foundations is weakest on your website right now?
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