The Real Unlock of Vibe Coding

By Robyn White

The real unlock of vibe coding tools isn't speed. It's courage. Here's how two weekend projects changed my mind.

A year ago, I thought vibe coding was mostly hype. Six months ago, it was hard to get a project launched. Then this fall, I built two working AI tools on weekends and changed my mind. I didn't suddenly 'get good at coding.' I just stopped waiting to feel ready.

The Projects

VisAIbility benchmarks how brands show up in AI search results, what I've been calling Generative Engine Optimization, or GEO. SAT Studio teaches vocabulary with ElevenLabs voice integration and interactive quizzes. Both are live. Both were built by someone who is waiting for the good people of GitHub to figure out she doesn't know what she's doing.

The Tools That Made It Possible

Claude is what gave me the courage to keep going when I got stuck. I could describe what I wanted, see what broke, and refine in plain language. Claude talked me through 12 GitHub deployments while I built VisAIbility. Lovable didn't click for me all summer. Then someone sent me their Christmas Advent Calendar over the holidays, and I noticed everything had gotten so much easier. Discovering their prompt library was a game-changer. I built SAT Studio there, and it felt like magic when I added voice integration and a competitive dashboard in a few clicks.

The Real Unlock

Now that functionality comes easily, I can focus on what I'm building, what it looks like, and who it's for, instead of whether I'm qualified to start. Engineers aren't going anywhere. But I can now prototype, test with real users, and learn faster before handing something off. That's the courage unlock: shipping early, learning in public, and letting reality — not fear — do the teaching.

The Algorithm Finally Learned to Read: Why Google and LinkedIn Just Changed Everything

By Robyn White

Google and LinkedIn just made the same move. Both replaced signal-counting with AI that actually reads.

Google's had E-E-A-T guidelines forever, but now LLMs can detect authentic expertise. LinkedIn's 360Brew does the same: reads your profile, reads your posts, checks alignment. It's about time!

What Actually Changed

LinkedIn deployed 360Brew in late 2025. It’s a 150-billion-parameter AI model that replaced thousands of separate ranking systems with one unified brain. Instead of tracking clicks and connections, it reads. It understands that "revenue intelligence platform" and "CRM integration" are related concepts, even if you never used those exact terms.

The old system asked: "Did this post get engagement?"

The new system asks: "Does this content demonstrate real expertise? Does it align with what this person actually knows?"

Google tightened its E-E-A-T evaluation with the December 2025 core update. E-E-A-T stands for Experience, Expertise, Authoritativeness, Trustworthiness — and Google's had these guidelines for years. But now, with LLM capabilities baked into the algorithm, Google can actually understand whether content comes from someone with genuine knowledge or just someone who's good at keyword research.

Both platforms made the same fundamental shift: from counting signals to understanding meaning.

What Died

Keyword stuffing. They both run on AI that understands context now. Google and LinkedIn can both read the semantic meaning of your content. Cramming keywords doesn't fool an AI that actually comprehends what you're saying.

Engagement pods. They read if the comments are real. LinkedIn's 360Brew specifically detects forced or misleading engagement patterns. Generic "great post!" comments from the same group of people? The algorithm knows.

Generic "10 tips" listicles. They spot recycled advice. When the AI has read millions of posts about "design system best practices," it knows which ones are just repackaging existing information and which ones offer something new.

What Wins vs. What Loses

What wins: "We scaled our design system and cut dev time 75%. Here's what failed first."

What loses: "Top 10 design system best practices."

The difference? One demonstrates actual experience. The other could have been written by anyone who spent 20 minutes on Google.

LinkedIn's data backs this up: posts with clear, specific insights about real work now get 3-7x more reach than generic advice. And when reach did happen, it wasn't the old "viral in the first hour" pattern; it was sustained engagement across different professional clusters over days.

Google's seeing the same pattern. Sites with demonstrated expertise and first-hand experience are gaining visibility, while generic content farms are losing it. The December 2025 update hit affiliate sites particularly hard (71% affected), especially those without original insights or expert oversight.

Why This Matters

For years, visibility and credibility required different skill sets.

You needed SEO tactics for search, engagement hacks for social, and actual expertise for your job.

Now the platforms can read. Which means visibility and credibility just became the same thing.

Your LinkedIn headline says "Enterprise SaaS Sales VP" but you're posting about crypto, meditation, travel photography, and AI art? The algorithm literally can't figure out what you're an expert in. Your content doesn't get matched to relevant audiences.

Your website publishes thin content or AI-generated posts without expert review? Google's algorithm knows. It can tell the difference between content written by someone who's done the work and content written by someone who's just hitting publish.

What This Means for You

The shift rewards one thing: consistency between who you say you are and what you actually know.

On LinkedIn, that means:

• Your profile (headline, About section, experience) acts as your "topical anchor"

• Your posts should align with that expertise 80%+ of the time

• Topic clarity wins over topic variety

  
  

On Google, that means:

• Author credentials and first-hand experience matter more than ever

• AI-generated content without expert oversight gets filtered out

• Sites need to demonstrate clear expertise in their niche, not try to rank for everything

  
  

The good news? Have you been building real expertise all along? You're about to rise. Have you been building superficial visibility? You'll feel the decline.

Because these algorithms don't amplify noise. They amplify meaning.

Finally.

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Learn More

Want to dig deeper into how these algorithms work? Here are some resources:

On LinkedIn's 360Brew:

• LinkedIn 360brew: What Actually Changed — AuthoredUp's technical breakdown of the model and its impact on reach

• LinkedIn 360brew algorithm: Insight — Leaders Social's guide to the decoder model and topic clarity

• Unlocking LinkedIn's 360Brew — Medium deep dive on deployment timeline and natural language processing

On Google's E-E-A-T Evolution:

• Google December 2025 Core Update: Complete Guide — ALM Corp's comprehensive analysis of ranking shifts and recovery strategies

• 2025 Organic Traffic Crisis Report — The Digital Bloom's research on E-E-A-T's intensified importance and zero-click trends

The AI Search Visibility Problem (And a Simple Solution)

By Robyn White

Every marketer I talk to knows the shift is happening. ChatGPT, Perplexity, Claude, and Gemini have become search engines. People are asking AI assistants to recommend products, compare services, and find solutions instead of scrolling through Google results.

But here's the question that keeps coming up: How do you know if you're showing up or not?

The Measurement Gap

Traditional SEO gave us rankings. We could track our position for "best project management software" or "eco-friendly yoga mats." We had traffic numbers, click-through rates, and conversion data. The metrics weren't perfect, but they existed.

AI search offers nothing.

You can't check your ranking in ChatGPT. There's no dashboard showing how often Perplexity recommends your brand. Most companies are genuinely guessing whether their AI visibility strategy is working.

Why This Matters More Than You Think

When someone asks Google for restaurant recommendations, they get a list of options and click through to decide. When someone asks Claude or ChatGPT, they get a curated answer with maybe three recommendations or just one.

The AI decides what's worth mentioning. You're either in that answer, or you're invisible, and right now, most brands have no idea which side of that line they're on.

Vibecoding a Solution

Over the weekend, I built a free tool to test whether simple tracking could work. No fancy APIs, no complex integrations, just a straightforward way to see what AI platforms are saying about your brand.

I built it fast with Claude, focused on what would actually be useful, and didn't get stuck in perfect-solution paralysis.

What it tracks:

• How often your brand appears in AI responses

• How you compare to competitors

• Which platforms mention you most

• Trends over time

  
  

The tool is manual. You run the same queries across platforms, record the responses, and track patterns. Simple, but it works.

What I Learned Building It

The most fascinating discovery? ChatGPT, Claude, Perplexity, and Gemini answer the same question completely differently.

Ask them all for "best CRM software for small businesses," and you'll get four distinct answers with different brands featured, different reasoning, and different confidence levels. Each model has its own evaluation criteria and training data, which means you can't necessarily optimize for "AI search" as a single channel. You need to understand what the LLMs look for: proof of brand quality, proof your product or service successfully solves customers' problems, and proof people like you.

What Comes Next

Every brand needs to answer this question: "Are we visible where people are actually searching?"

Right now, most of us are trying to figure it out. We can see that investing in SEO continues to work, as does understanding where and how our customers are singing our praises. After all, there's a reason Google has started including Instagram posts and reels in its search results.

The tool I built is free, open-source, and ready to use. It's not sophisticated, but it gives you visibility into a channel that's otherwise completely opaque. Start tracking and see where you show up in order to learn what works.

Because AI search isn't coming, it's already here.

Ready to start tracking your AI visibility? The VisAIbility Tool is free and open-source.

🔗 Try the VisAIbility Tool