Sai Krishna V K

SEO isn't just content. Backlinks play a big role as well. As for AEO or GEO, they have their parameters as well. But the thing is, a person who knows nothing about SEO can still get started and create meaningful content for their brand. SEO enables discovery, but demand is a different game

@5aitec @aakashgupta I was curious about who wins in SEO if everyone theoretically optimized. Everyone can’t be first so doesn’t this SEO just become a commodity and some other variable moves you up or down the ranks?

Shopify just mass-democratized something most people won't register for another 6 months. $378 billion in GMV. 5.6 million stores. And they just gave every AI coding agent direct write access to the entire store backend: products, orders, inventory, SEO, images. That screenshot is a solo merchant typing "Optimize all my products for SEO" and Claude updating 32 product listings, rewriting alt text, applying meta descriptions, and verifying every change. One prompt. No Fiverr freelancer. No $200/month app subscription. No agency retainer. The old cost stack for a small Shopify store: $200-500/month in apps, $2,000+ for an SEO audit, $50/hour for a VA. That just collapsed into a terminal command. 4.8 million active merchants. Most run 10-200 SKUs and manage everything by clicking through the admin one product at a time. Claude Code plus MCP just gave every solo founder the operational capacity of a five-person team. And Shopify isn't building the agent. They're building the protocol that makes every agent a Shopify agent. That's the platform play.

Agents don't make mistakes one at a time but misconfigures 32 in the same motion it fixed them. Power without oversight just increases the blast radius. This is exactly why keeping humans in the loop is critical, not to slow the agents down, but to catch what they'd break at speed. Human judgment on top of agent execution is the actual answer. Works quite well with @shoposai

The new @Shopify AI Toolkit is insane. You know what else is insane? Running it without a backup on your store. apps.shopify.com/backup

The brands that move their operations into the background will compound their attention on the things that actually grow the brand. As it is supposed to be. But that's the invisible tax @shoposai is built to eliminate. Not just the ops side of things, but the cognitive load of managing them.

Used this today while cooking Mac n Cheese for the kids. copied some messages from slack that described issues we were having. - Archived some products that were being exploited for fraud - changed some stuff on the return policy - turned off some stale discounts Dead simple and will start giving this to clients immediately.

The protocol play is exactly right. But protocol access ≠ brand intelligence. Claude Code can update 32 product listings. But it can't remember how that emotional copy outperformed feature-led copy 3:1 for your brand last season... unless something teaches it to. This marks the end of the freelancer economy. And now is the time of the strategy economy. The defensibility lies in what the system learns. And that's the layer we're building on top of @shoposai's brand memory, making Shopify's protocol smarter with every run.

Shopify just quietly ended an entire freelancer economy. 😨 They gave every AI agent direct access to your entire store. Products. Orders. Inventory. SEO. Images. Everything a freelancer used to charge you for. And this is what it actually looks like in practice. You type "fix my SEO." Claude goes through every single product listing. Rewrites the descriptions. Fixes the alt text. Applies the meta tags. Done. While you were doing something else. But here is the real move. Shopify is not building the agent. They are building the protocol that makes every agent a Shopify agent. Claude. Cursor. Codex. All of them now speak Shopify natively. 4.8 million merchants just got a five person team for the price of an AI subscription. The stores that figure this out first are not going to compete with you. They are going to make you invisible.

@Shopify low-key already doing that at @shoposai with 10+ agents to make, market, and manage the brands.

the Shopify AI Toolkit is here manage your store with your favorite agent Claude Code, Codex, Cursor, VS Code, and more

@Shwinnabego that's a brilliant take... can't agree more. I wrote a similar thing from @OpenAI's POV of why they quit Sora and acquired TBPN. x.com/5aitec/status/…

As someone who creates a lot of b2b content and does a ton of partnerships/sponsorships, here are a few things worth concluding and (not) concluding from this: - you cannot look at the listener volume and work backwards into the pricing on a CPM basis. The $$ paid here is exclusively a result of the audience, which is executives, c-suite, of high value audiences. So 1 million listeners a month here is not priced the same as 1 million listeners on Call Her Daddy. There will be an order of magnitude difference in ad pricing. - b2b and fintech niches are the highest value niches to create content in whether shortform of longform. Any day of the week it is better to be a fintech creator with 50,000 followers than a lifestyle creator with 500,000 followers. For the former you can likely do a sponsored 60s Instagram reel for $15-20k with the right partner, because they only need a couple of conversions to make the math work. If you are in the former category your metric isn’t audience growth so much as it is audience trust. - to the above point: all pricing is reverse engineered from LTV. A single customer for a wealth management platform might be worth $100,000 over the course of a lifetime, vs. a single customer for a greens powder. That’s why the former will pay $1m to be on the acquired podcast, but Athletic greens can only pay a fraction of that to be on a podcast with 10x the listener base - if you think the spend is reckless here (it’s not) remember that there’s tons of spend you never see: ads, out of home, conferences, horrible perf marketing. Podcast and creator gets more scrutiny/ misunderstanding because the numbers get shared publicly.

@itsurboyevan @AcquiredFM When the bunny is out of the hat, we'll see more niche podcasts emerge and share crazy numbers. It's all about distribution. I wrote a piece on how OpenAI's acquisition of TBPN is a much bigger play than people realize. x.com/5aitec/status/…

everyone talks about TBPN making 20M in ads, but no one talks about how @AcquiredFM is pricing their midroll at 4.7M (goddamn)

@Doomerzoomer Can't agree more... wrote an article on this. Distribution was and will always be king. Prediction: More brands will look to acquire niche podcasts in the coming future. x.com/5aitec/status/…

Acquired Podcast ad revenue by year: 2020: $0.2M 2021: $0.8M 2022: $2.5M 2023: $5M 2024: $8M 2025: $12M 2026: $16M+ (sold out) 2027: $18M+ (sold out) 2028: $25M+ 2029: $38M+ They only run 8 episodes a year. So wild. Media is the new moat. Distribution is all that matters.

@VishnuPras24695 Old habits die hard...

@5aitec That's a great idea, I still see people hesitate to use AI and stick with their old ways. This can change that

We stopped asking our team to "adopt AI." We built a competition instead. Here's what a leaderboard did that workshops couldn't. The problem with AI adoption is that they make AI feel optional. You attend the training. Nod. And go back to your old ways. Nothing changes... 🧵

Rule 1: get users hooked, build the habit, make it indispensable. Once AI is embedded in how you work and decide, you price it against what it's replacing: analysts, consultants, agencies... basically systems. At that value, $1,000/mo is a discount. The people worried about the price hike are the same ones who haven't realized what they're actually using it for yet.

I think it is inevitable that Anthropic and OpenAI eventually roll out $1000/mo and $10,000/mo plans and then reserve the absolute best frontier models to metered access

No surprises here. Search earns a click, whereas Agents earn a dependency. Perplexity didn't really change their product. They changed what they charged for. You see, search monetizes attention. Whereas, the Agents monetize outcomes. And the moment your product stops answering questions and starts completing tasks, that's where the revenue follows. +50% in a month is what that shift looks like.

BREAKING: Perplexity's revenue has reportedly surged +50% in one month after shifting into AI agents, per FT. As a result, Perplexity's revenue has doubled in one quarter to more than $450 million in ARR. This follows Anthropic's push into the space which said its ARR hit $19 billion at the end of February. AI agents are skyrocketing in popularity.

@aschwags3 It's funny how the brief that used to cost a morning now waits for you. The team that closes signal-to-decision overnight beats the one that closes it in three days. Compounding ftw!

This is going to be every marketer's second employee (and you'll never have to hire them). Here's the workflow you’re handing your marketing team team today: 1/ Connect your data sources (Google Ads, Meta, GA4, etc.) 2/ Agent pulls performance data while you sleep 3/ Writes a plain-English summary: what's working, what's draining budget, what to watch 4/ Flags anomalies and winners automatically (CPL spike, organic drop, a post taking off) 5/ Delivers the report to Slack before your first standup The agent runs overnight. Your team walks in with the brief already written. The teams building this now are the ones still standing in two years

@Polymarket Half the supply is gone, but all the demand is still there. So one can't call that a slowdown. It's more of a filter. But the question isn't whether AI builds. It's who has the capacity to build it. And the winner is whoever locked in compute early.

JUST IN: Nearly half of the U.S. data centers planned for 2026 are reportedly expected to be delayed or canceled.

AI is no longer a strategy deck topic. It's a daily reflex. Has your team moved from AI conversation to AI execution? What made the difference?

When your name is on the board, you stop waiting for permission. Every dev, designer, and PM now does what used to take three people. The goal isn't more PRs. It's the right environment. More PRs happen by output. The right environment happens by design.

@adam3us Rule 1: Always trust a guy with laser eyes. But in all seriousness, how did you pull it all off?

i'm not satoshi, but I was early in laser focus on the positive societal implications of cryptography, online privacy and electronic cash, hence my ~1992 onwards active interest in applied research on ecash, privacy tech on cypherpunks list which led to hashcash and other ideas.

2-3k YouTube views is the wrong metric entirely. The question isn't how many people watch. It's who watches, and what they decide the next morning. TechCrunch reaches millions. None of them is writing $500M checks. TBPN reaches the ones who are. That's not a media buy. That's a relationship graph with a broadcast layer on top. Where you might be right is that maybe OpenAI may have overpaid. But narrative control through owned media is harder than it looks. And buying distribution has never been a guaranteed moat. But you can't measure this acquisition in YT views. It's like judging a law firm by their Insta following.

OpenAI could buy TechCrunch and The Verge, but instead went for 2 bros averaging 2-3k views on YouTube