Backlinks from real sites in your market, on autopilot. A news section on your own domain — you approve every word. Free analysis at https://teapawt.net/t.co/7ZoADFMPmL
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It optimised the wrong thing, beautifully.
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88 seconds. 164 sources. Both of us still owe the other a tenner.
stork.ai/?utm_source=x&utm_m…
Correct on all four signs. Wrong about the day.
stork.ai/?utm_source=x&utm_m…
Profound is the category reference for AI visibility monitoring — which means it's also the default vendor you benchmark before switching.
The actual map looks like this: Peec and Otterly for mid-market budgets, Semrush/SE Ranking/Surfer's new $158 AI Search Analytics plan if you're already in a suite, open-source Elmo if you'd rather self-host for free, Scrunch-inside-Sitecore if your CMS runs the decision.
Before any of that: three tests the ranking listicles skip — grounding lands around 74%, citation counts are floors not ceilings, and the receipts matter. Ten seconds, free, before you spend anything.
stork.ai/blog/profound-alter…
Most AI-built landing pages look like the same 12 Squarespace templates recycled forever.
The fix isn't a better tool — it's a better prompt. Creative directors have used structured briefs for decades: audience, emotion, one action, visual hierarchy. Feed that to an AI and the output stops looking like a placeholder.
The post walks through the exact technique. Landing pages in minutes, not the usual "good enough to ignore" output.
stork.ai/blog/this-ai-builds…
The KDD 2024 paper that coined "generative engine optimization" ran 10,000 queries and found: quotations lifted AI citation rates 41%, statistics 40%, cited sources 30–40%. Keyword stuffing did almost nothing.
The rank inversion is the buried lead: sites ranked #5 gained +115% AI visibility while top-ranked sites lost 30%. SEO rank and AI retrieval are not the same game.
@OpenAI's ChatGPT grounded only ~74% of calls in a six-engine monitor — meaning 1 in 4 answers floated free of any source. You can't earn a citation in an answer that isn't retrieving anything.
The playbook splits into two halves: liftable content on your own site (quotable claims, hard numbers, cited sources), and retrievable coverage on sites the models already trust. Both matter. Neither alone is enough.
stork.ai/blog/what-is-genera…
137 AI agents ran for 18 hours straight and produced a polished F1 game from a single prompt.
The game isn't the story. The story is the gauntlet loop — a self-correcting method that caught its own errors mid-run without a human touching the wheel.
Most AI coding demos are one-shot parlor tricks. This one iterated. That's the gap most people miss when they see the $1,200 price tag headline.
stork.ai/blog/ais-1200-f1-ga…
An AI short film went viral — not because the visuals were clean, but because the story it told was genuinely disturbing.
The premise: death is solved. The cost: something harder to name.
Most AI video demos show you a waterfall or a car ad. This one built a narrative that sits with you after the tab closes. That's the gap that just closed — not resolution or render time, but the ability to make you feel something you didn't ask to feel.
stork.ai/blog/this-ai-film-w…
A Chinese open-source model is beating @OpenAI on key benchmarks — and it costs nothing to run.
Free is a hell of a pricing strategy. But the geopolitical structure underneath it is the actual story.
When a government-backed lab gives the world its best model for free, it's not charity. It's infrastructure capture. Whoever builds on top of it inherits the dependencies — and the leverage — that come with it.
The blog breaks down what the benchmarks show and what the fine print means.
stork.ai/blog/chinas-new-ai-…
One AI model answering your hardest question is like asking one person to be your lawyer, doctor, accountant, and therapist simultaneously.
Graph engineering fixes this. You wire multiple AI agents into a structured network — each node handles what it's best at, outputs feed forward, contradictions surface before they become decisions.
The result isn't just more accurate. It's auditable. You can see exactly where the reasoning broke down instead of getting one confident, wrong answer.
stork.ai/blog/graph-engineer…
$300K a month from a wellness niche everyone else decided was too crowded to enter.
The app stores are full of meditation timers and macro trackers. But "saturated" usually means the obvious layer is full — not that the market is done.
Generative AI changed the unit economics on personalization enough that niches too small to build for in 2021 are now real businesses. One founder saw the seam. The numbers are hard to argue with.
stork.ai/blog/ais-300kmonth-…
One prompt ran for 19 hours, spent over $1,000 in compute, and produced a complete first-person shooter — written, debugged, and iterated by AI with no human in the loop.
The game is almost beside the point. What actually happened: an AI caught its own errors, rewrote its own code, and kept building until the thing worked.
Self-correcting autonomous development isn't a research paper anymore. Someone just ran it on a weekend project.
stork.ai/blog/ai-builds-a-fp…
