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Tech Snack | Vibe Coding & AI

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SearchGAP Method

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AI Money Lab

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AI SEO Operators

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8 contributions to AI Automation Society
Why your "comprehensive" AI article still won't rank
You pointed your agent at the top 10 results. It wrote something cleaner and longer than all of them. But it still won't rank. Here's the part most automation builds miss. Google patented a way to score information gain. The idea is simple. A page that repeats what the other results already say adds nothing new. Google has little reason to rank it over the original. A page earns its spot by covering what the others left out. Most AI content agents do the opposite. They read the SERP and average it. The output is a tidy summary of the consensus. That's zero information gain. You built a copy, not a contender. LLMs work the same way. ChatGPT and AI Overviews already synthesize the consensus for free. They rarely cite a rephrasing of it. You're far more likely to get cited when you add something new. Change the agent's job. "Write a comprehensive article" is the wrong instruction. "Find what the top 10 miss, then fill that gap" is the right one. Here's the fix in a pipeline: - Scrape the top 10. Pull their headings and subtopics. - Have the AI list what every result already covers. - Then list what none of them cover. That's your target. - Fill the gap with something only you have. Original data. A real test. A customer example. A clear opinion. The cleanest rewrite of the consensus loses. The page with one new thing wins. Build your agent around the gap, not the average.
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SEO Agent Building help
Hey there I have an idea to create an agent and I would need your precious insights on the building of this workflow Thank you : Goal: Automate SEO optimization for any webpage using AI and n8n to improve search rankings effortlessly. How It Works: 1️⃣ User Inputs: - Website URL (single page to analyze) - Target Area (e.g., New York, USA) - Business Category (e.g., AI Marketing Agency) 2️⃣ AI Analysis: - Fetches and analyzes page content - Finds high-ranking keywords specific to the industry & location - Compares with top competitors 3️⃣ User Selection (via Slack): - AI suggests best SEO keywords - User chooses which to use 4️⃣ AI Optimizes Content: - Rewrites page with new keywords - Suggests meta titles, descriptions, and tags 5️⃣ Final Output: - SEO Report (PDF/Doc) with all improvements - Delivered via Slack or Email
0 likes • 2h
The flow makes sense. Putting the keyword pick behind a Slack approval is a good call. Here's how I wire mine with Claude Code. 1. Don't let the AI "find" keywords on its own. Ask an LLM for "high-ranking keywords," and you get plausible guesses. Volume and difficulty are made up. Pipe in real data instead. I use the DataForSEO MCP and the Ahrefs API. 2. Compare against the live SERP. "Top competitors" is too vague to act on. Take your target keyword and scrape the actual top 10 results. Pull their headings, entities, and word count. Firecrawl, Jina, or Cloudflare handles the scraping well. Then ask the AI to identify gaps and information-gain opportunities. Use that data to build a content brief. 3. Rewriting the whole page is risky. A page that already ranks can tank on a full rewrite. I keep the AI to section-level suggestions and meta. Then a human approves the diff. Same Slack gate you already built. Just apply it to the content step too.
What do you get if you upgrade to AIS+?
Some of you have never heard of the AIS+ community. Others have but the part that trips you up is the actual difference between the two. Either way, this post will give you clarity. This free group is a bundle of quick resources pulled from my YouTube videos, plus a massive open community that anyone can join. It's a great place to get your bearings and see what's possible. But it's open to everyone, it can be noisy and overwhelming, and there's no path through it. You can get help from other members, but I rarely answer questions here. AIS+ is the opposite: - A step by step roadmap with a clear order, so you're never guessing what to do next - A much smaller community of people who are seriously committed to building and selling AI agents - I answer questions every day and run a weekly Q&A call where you can get direct access to me For the course material: The roadmap takes you from zero to building and selling AI agents, and the whole thing is built on the latest tech like Claude Code and Codex. We update it constantly. The old n8n material has been archived. It's still there if you want it, but it's no longer the focus, because the way you build today has moved on and the courses moved with it. Here's the actual roadmap inside, in order, with when each piece opens up: 1. Start Here (opens the moment you join). Gets you oriented. How the community works, the path ahead, and how to get help when you need it. 2. Build Your Portfolio (opens the moment you join). Why a portfolio matters, beginner level tutorials, and what types of projects to focus on. You end up with real work you can show a client. 3. Claude Code (opens the moment you join). This is now its own dedicated course. Build faster, turn ideas into working automations, and go deep on the tool serious builders are using right now. This takes you from beginner to advanced, step-by-step. 4. Get Your First Clients (opens after 30 days). Getting your first clients is hard, because you don’t have any case studies yet. So, we analyzed all of the success stories from our members and found they get their initial clients with two different techniques: warm outreach and Upwork. So, we teach both techniques in detail with exactly what to say, exactly how to position yourself when you have no proof.
5 likes • 2h
This is a smart way to structure the community. The free group gives people value first. It builds trust, shows your teaching style, and gives members a low-risk way to see what is possible. Then AIS+ becomes the clear next step for people who want more structure, support, and direction. That makes the paid offer feel less like a cold pitch. It feels like a natural upgrade for people who already see the value.
AI website and SEO
Hey everyone, I am currently trying to sell AI website (lovable) and I have heard that AI website are very bad for SEO because it uses JS, does anyone have experience in selling AI website so we can chat quickly ? like many clients want a SEO optimized website and when I tell them that I dont offer SEO but only the website they don't want it anymore
1 like • 2h
AI sites are not bad for SEO by default. The issue is usually how they render content. If the main page content only loads through client-side JavaScript, Google may still crawl it. But it can be slower and less reliable. For client sites, I would use an SEO-first stack instead of shipping raw AI builder output as-is: - Astro Framework for fast static or hybrid pages - Tailwind CSS for clean, lightweight styling - Cloudflare Pages for fast hosting - Headless CMS for service pages, blogs, FAQs, and case studies - Schema markup for local business, services, products, FAQs, articles, and reviews - Sitemap and robots.txt generated at build time - Server-rendered or pre-rendered HTML for all SEO pages Astro is a great fit because it is built for content-driven websites and can ship pre-rendered HTML. That matters for SEO because crawlers can see the content right away. Cloudflare also works well for static sites because pre-built HTML can load fast from the edge. The pitch to clients should not be “AI website.” It should be “fast SEO-ready website built with AI-assisted workflows.” AI can speed up the build. But the final site still needs structure, crawlable content, metadata, schema, internal links, and conversion-focused pages. I’d create a simple SEO checklist for every site before delivery: - Crawlable HTML content - Unique title tags - Clean meta descriptions - One clear H1 per page - Logical heading structure - Internal links between service pages - Fast Core Web Vitals - Compressed images with alt text - XML sitemap - Indexing checks in Google Search Console That way, you can sell the website without pretending to offer full SEO. You can position it as “SEO-ready technical setup.” Then, ongoing SEO becomes a separate service or partner offer.
The Future of SEO is Here: AI SEO / LLM SEO
Traditional SEO is fading. With AI-driven search engines and LLMs like ChatGPT becoming the new way people find answers, the rules have changed. ✅ Old SEO = keywords + backlinks ✅ New SEO = clarity + authority + context If your business isn’t optimizing for AI search, you risk invisibility. 3 quick steps to enhance your SEO today: 1️⃣ Answer questions directly (FAQs, conversational content) 2️⃣ Build topical authority with deep niche content 3️⃣ Format for clarity (lists, headings, summaries AI can read fast) 💡 The shift is happening now. Those who adapt will dominate tomorrow’s search results. 👉 Want to see how to apply AI SEO to your business? Comment “link” below and I’ll share a form to get you started.
0 likes • 2h
One thing I’d add is entity optimization. AI search does not only look for keywords. It tries to understand people, brands, products, services, topics, and how they connect. A practical way to improve this is to make each key page clear on these points: - Who the brand serves - What problem the page solves - What service or product fits that need - What proof supports the claim - What next step the reader should take I’d also connect related pages with clear internal links. This builds a stronger topic graph for both search engines and LLMs. FAQs and clean formatting matter. But the bigger win is making your brand, offer, audience, and expertise easy for AI systems to understand and cite.
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@ro-pq-5492
Greetings! I’m Rory, an SEO specialist from Michigan.

Active 53m ago
Joined Mar 23, 2025
United States
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