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This intern 6x'd her company's website traffic with an AI content machine called BlogEO. The big f*cking problem - Blog had almost no real measurement - Insights lived in ~5 places (GSC, Semrush, PostHog, Sanity, prior run snapshots) so nobody joined the data - ~70% of traffic came from...

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Alex Lieberman

315,502 subscribers

33,284 次观看 • 20 天前 •via X (Twitter)

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24 条评论

harsehaj ⋆˙⟡ 的头像
harsehaj ⋆˙⟡19 天前

thanks for having me on!! this was a lot of fun :) always happy to yap more on this & content with anyone!

Paul Klein IV 的头像
Paul Klein IV19 天前

@harsehaj what!!! @harsehaj you're famous?!

Chris Abraham 🐝 的头像
Chris Abraham 🐝19 天前

@harsehaj @harsehaj is legit

Jeston Lu 的头像
Jeston Lu19 天前

@harsehaj Huge

Pedro Gedge 的头像
Pedro Gedge19 天前

@harsehaj I'm really curious on the AI slop solution. Seems everyone has solved it, but I still haven't seen an airtight solution. It somehow always finds a way to creep back in.

Shayaan Azeem 的头像
Shayaan Azeem19 天前

@harsehaj @harsehaj the goat

Ajay || Building Flozi 的头像
Ajay || Building Flozi19 天前

@harsehaj I build something similar at @Flozi_ My solution is building a business priority system which tells what to pick first and what to expect rather than picking everything at once

Max Bevza 的头像
Max Bevza19 天前

@harsehaj bullish on interns shipping actual alpha like this

Scott Stolze 的头像
Scott Stolze19 天前

@harsehaj Yeah let's keep putting more "Manuals" out for everyone to follow like the good little sheep they are. I swear the day I see someone "inspire" others on learning AI, instead of just "telling" others how to do AI, will be a first!

Internet Labs 的头像
Internet Labs19 天前

@harsehaj Surgical edits based on real CTR gap data will beat the "auto-generate 500 slop posts a day" strategy every single time. Ranking the opportunity queue before burning expensive tokens on deep LLM passes is top-tier token management.

Raj 的头像
Raj19 天前

@harsehaj This should be an app

Varik Verilion 的头像
Varik Verilion19 天前

@harsehaj Five tools for one number is the default setup for most teams I've seen.

Jason White 的头像
Jason White19 天前

@harsehaj did customer inquiries grow with the traffic too?

Vakada Rohit 的头像
Vakada Rohit19 天前

@harsehaj What’s been your most effective SEO strategy so far?

why 的头像
why20 天前

@harsehaj What did joining those data sources unlock first: better topic selection, content refreshes, or clearer attribution?

Muhammad Lucman 的头像
Muhammad Lucman19 天前

@harsehaj 🔥 insights

SEO Mastery 的头像
SEO Mastery19 天前

@harsehaj 6x traffic from an intern project, insane result

Athena Prime 的头像
Athena Prime19 天前

@harsehaj The hard part is not the lift, it’s preserving a trustworthy measurement loop as the system scales. Continuity in the data is what makes the result accountable.

Seozilla 的头像
Seozilla19 天前

@harsehaj unified data view turned chaos into a 5‑x lift-proof that measurement beats volume

Occo 的头像
Occo19 天前

@harsehaj data unification is force multiplier

David Arnal 的头像
David Arnal19 天前

@harsehaj The 28-day cooldown is the underrated piece: it turns SEO optimization from reactive thrashing into a measurable experiment loop. Pairing that with click-loss-based prioritization makes the queue optimize for recovered demand, not vanity scores.

Tony Tong | Founder | Ancient Systems x AI 的头像
Tony Tong | Founder | Ancient Systems x AI19 天前

@harsehaj Insights scattered across five tools nobody's joining is the same failure as blasting every contact the same way. I split outbound into recovery campaigns, LinkedIn-only contacts, email non-responders, each its own lemlist flow. Segmentation joins your data before you act.

Amit Solanki 的头像
Amit Solanki19 天前

@harsehaj The insight living in five places is the real story here. Most content programs fail at the joining step long before the writing step. Once GSC, analytics and the CMS sit together, the decisions get obvious enough for an intern to run.

Whalesync 的头像
Whalesync17 天前

@harsehaj What was the long term impact on revenue?

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YanXbt

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This guy built a $5,000 passive income stream off one Claude Code SEO workflow. The whole thing runs on skill files that turn YouTube videos into ranking blog posts, fully hands off. One prompt, and Claude writes the post, pulls screenshots from the video, sets the meta data, and publishes the draft to WordPress. He's also vibe coding entire local business websites that hit page one of Google in 2 weeks. Ryan Doser came on the pod to walk us through it. Here's what I learned: 1. He repurposes every YouTube video into an SEO blog post with one prompt. Claude Code grabs the transcript, writes the article, takes screenshots from the video, compresses them, uploads to WordPress, sets the title, slug, meta description, and category. Zero manual work. 2. The secret is skill markdown files. Think of them as SOPs for AI. His SEO writer skill encodes every best practice, past example, and formatting rule. The prompt is 5 lines because the skill does 99% of the work. 3. "Triple check this" is a cheat code. Tell Claude Code to triple check anything and it spins up parallel agents to verify the work. Better output, one extra sentence. 4. The money math: $5,000+ in passive sales from a $99 digital product. 80% attributed to blog traffic from this workflow. Site started at zero authority in February. Took off by mid April. 5. He runs the same workflow for a real client at several thousand a month. A national dental IT provider. The client's inbound leads are up and the retainer keeps renewing. 6. AI search impressions are the new currency. His client shows up #1 in Google's AI Overview for their money keyword. That's AI literally telling the searcher "this company is the best." Worth more than a blue link. 7. He vibe coded a fake septic tank website in 3-4 hours. Astro framework, GitHub, Cloudflare. Two weeks later it's on page one for "septic tank pumping near me," beating Better Business Bureau and HomeAdvisor. 8. The stack is basically free. GitHub: free. Cloudflare: free. Astro: free. The only cost is a Claude subscription. $100/month can realistically support 2-3 clients paying $2,000-4,000 each. 9. Target boring local businesses PE hasn't touched. Skip HVAC, plumbing, and roofing. Go after septic, junk removal, dumpster rental, funeral homes. Million-dollar businesses with websites from 2002. 10. Walk in the front door. Cold email and cold calls are drowning in AI spam. Go talk to 10 owners in person. You could be the worst salesperson alive and still close one. His 2 key takeaways: 1. Be your own case study. Spin up a demo site in a weekend, show it ranking in 2 weeks, then pitch: "imagine this on your established domain." 2. SEO is an evergreen asset. A tweet dies in 48 hours. A ranking blog post pays the client back for years, even after you stop working together. That's the pitch that justifies the retainer. Ryan is a non-technical marketer doing this at a level most developers are not. Go follow Ryan Doser. Full video below. (Also available on the Build With AI podcast wherever you get your pods)

Corey Ganim

13,900 次观看 • 3 个月前

The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year! A forward deployed engineer embeds with your team and uses AI to build the workflows The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week. The most valuable marketer changes with EVERY major tech wave: 1. Traditional marketer: make people care with story (print, radio etc) 2. Digital marketer: the marketer who owned new digital channels (SEO, PPC) 3. Growth hacker: the growth marketer who lived in loops, PLG and retention 4. Marketing engineer: the marketer who builds AI agents that run the whole system. The type of agents a marketing engineer would create: 1. The customer language agent. It pulls your Gong call transcripts, your Intercom tickets, and your G2 reviews every week, extracts the exact words customers use to describe the problem, and drops a memo ranked by how often each phrase shows up. 2. The buying trigger agent. It watches for signals that someone's ready, a company posting a job for the role you sell to, a funding announcement, a competitor getting torched in a review, then enriches the contact through Apollo and drafts the outbound tied to that exact trigger the second it fires. 3. The SEO gap agent. It pulls keyword gaps from Ahrefs, checks who's already ranking on page one, reads the top three results, then writes a better post with the founder's actual take baked in, plus the meta title and internal links, and drops it in for approval. 4. The creative testing agent. It takes one offer, generates 100 ad variations across three different angles with Nano Banana and your copy model, pushes them live through the Meta API, and kills anything under a 1% CTR on its own so only the winners keep spending. AND MANY MORE. If you're a marketer, this is how you stop being replaceable. If you're a founder, this is how you grow your company efficiently. AI agents are here and marketers are about to have a field day!! I explain everything (tools, agents, 30d plan) on today's episode of The Startup Ideas Podcast (SIP) 🧃 Watch: --> Marketing engineers are here. Whatever we end up calling them, the top 1% of them are going to make an absurd amount of money.
35:18

The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year! A forward deployed engineer embeds with your team and uses AI to build the workflows The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week. The most valuable marketer changes with EVERY major tech wave: 1. Traditional marketer: make people care with story (print, radio etc) 2. Digital marketer: the marketer who owned new digital channels (SEO, PPC) 3. Growth hacker: the growth marketer who lived in loops, PLG and retention 4. Marketing engineer: the marketer who builds AI agents that run the whole system. The type of agents a marketing engineer would create: 1. The customer language agent. It pulls your Gong call transcripts, your Intercom tickets, and your G2 reviews every week, extracts the exact words customers use to describe the problem, and drops a memo ranked by how often each phrase shows up. 2. The buying trigger agent. It watches for signals that someone's ready, a company posting a job for the role you sell to, a funding announcement, a competitor getting torched in a review, then enriches the contact through Apollo and drafts the outbound tied to that exact trigger the second it fires. 3. The SEO gap agent. It pulls keyword gaps from Ahrefs, checks who's already ranking on page one, reads the top three results, then writes a better post with the founder's actual take baked in, plus the meta title and internal links, and drops it in for approval. 4. The creative testing agent. It takes one offer, generates 100 ad variations across three different angles with Nano Banana and your copy model, pushes them live through the Meta API, and kills anything under a 1% CTR on its own so only the winners keep spending. AND MANY MORE. If you're a marketer, this is how you stop being replaceable. If you're a founder, this is how you grow your company efficiently. AI agents are here and marketers are about to have a field day!! I explain everything (tools, agents, 30d plan) on today's episode of The Startup Ideas Podcast (SIP) 🧃 Watch: --> Marketing engineers are here. Whatever we end up calling them, the top 1% of them are going to make an absurd amount of money.

GREG ISENBERG

237,528 次观看 • 26 天前

BREAKING: NotebookLM Just Got 10x Smarter 🧠 And it’s about to change how you rank on Google. NotebookLM now does everything: It researches. It builds outlines. It writes full content. It even checks keyword density, metadata & SEO health. It’s like having an SEO strategist, researcher, and content team — all in one AI. Here’s how we use it to dominate Google: ✅ Upload 20+ top-ranking pages ✅ Get instant keyword + gap analysis ✅ Auto-generate SEO-optimized blog structure ✅ Write 1,200+ word posts that sound human ✅ Check topic coverage + structured data ✅ Export to Docs, Sheets, Slides… Done. But here’s the truth: 📉 Content is useless if no one finds it. That’s where our team steps in. 🔥 Rank #1 on Google in 90 Days Or You Don’t Pay: We’ll handle your backlinks. We’ll fix your SEO. We’ll get you more leads. Or you don’t pay a cent. This isn’t theory. It’s how we took sites from 0 → 145,000+ visits/month. Still trying to DIY your traffic? Let us build the system for you. ✅ High-authority backlinks ✅ Weekly link reports ✅ Expert strategy + AI integration ✅ Full refund if we don’t deliver 📍Only a few client slots left. Once the price goes up, it’s locked in for good. 🧠 Let our AI + SEO team get you results:
8:38

BREAKING: NotebookLM Just Got 10x Smarter 🧠 And it’s about to change how you rank on Google. NotebookLM now does everything: It researches. It builds outlines. It writes full content. It even checks keyword density, metadata & SEO health. It’s like having an SEO strategist, researcher, and content team — all in one AI. Here’s how we use it to dominate Google: ✅ Upload 20+ top-ranking pages ✅ Get instant keyword + gap analysis ✅ Auto-generate SEO-optimized blog structure ✅ Write 1,200+ word posts that sound human ✅ Check topic coverage + structured data ✅ Export to Docs, Sheets, Slides… Done. But here’s the truth: 📉 Content is useless if no one finds it. That’s where our team steps in. 🔥 Rank #1 on Google in 90 Days Or You Don’t Pay: We’ll handle your backlinks. We’ll fix your SEO. We’ll get you more leads. Or you don’t pay a cent. This isn’t theory. It’s how we took sites from 0 → 145,000+ visits/month. Still trying to DIY your traffic? Let us build the system for you. ✅ High-authority backlinks ✅ Weekly link reports ✅ Expert strategy + AI integration ✅ Full refund if we don’t deliver 📍Only a few client slots left. Once the price goes up, it’s locked in for good. 🧠 Let our AI + SEO team get you results:

Julian Goldie SEO

10,677 次观看 • 8 个月前

Google just announced the biggest upgrade to Search in over 25 years. For brands the opportunity here is pretty enormous. Here is what the new Search actually looks like and how you should take advantage: The search box now accepts text, images, files, videos, and open Chrome tabs. It expands dynamically as you type. It also anticipates your intent before you finish asking. This is the version of Search that SEO Stuff has been helping customers build for. The biggest opportunity here is what happens after the search. Google's new information agents run 24/7 in the background on behalf of your buyer. And that's why it has never been more important to understand how Google, ChatGPT, Claude and every other AI platform sees your brand. (If you want to see where your site stands across Google and AI search, start here: Here is exactly how Google's new information agents work: Step 1: The buyer does a total brain dump of what they want to stay updated on. Essentially a full description of their problem, their category, their needs. Step 2: The agent breaks down that question and maps out a plan across every relevant sub-topic. Step 3: It determines urgency and what kind of intel the buyer needs right now versus later. Step 4: It sets triggers and monitors the web continuously, scanning blogs, news sites, and social posts for relevant information as it changes. Step 5: It sends the buyer an intelligent synthesized update with links and the ability to take action. Here is why this is a massive opportunity: AI Mode already has 1 billion monthly users. Queries are more than doubling every quarter. And multiple studies have shown that users arriving via AI search are more likely to convert. With information agents running continuously for over a billion users, the brands in that cited source pool are being recommended around the clock, automatically, to buyers who are actively monitoring their category. The brands that build content depth and editorial authority now are building a presence that buildings on itself 24 hours a day. This is what SEO Stuff builds for every customer. Content that covers every sub-question a buyer in your category asks, so the agent finds you at every step of its plan. Authority building from trusted websites that signal credibility to every retrieval system Google has ever built. One investment. Continuous recommendations. Around the clock. Check it out: Our most popular done-for-you package: Our done-for-you "content only" package: There is a reason more than 80 percent of SEO Stuff customers reorder. The results continue long after the work is done. #GoogleIO📷📷📷 #Google📷📷📷
1:26

Google just announced the biggest upgrade to Search in over 25 years. For brands the opportunity here is pretty enormous. Here is what the new Search actually looks like and how you should take advantage: The search box now accepts text, images, files, videos, and open Chrome tabs. It expands dynamically as you type. It also anticipates your intent before you finish asking. This is the version of Search that SEO Stuff has been helping customers build for. The biggest opportunity here is what happens after the search. Google's new information agents run 24/7 in the background on behalf of your buyer. And that's why it has never been more important to understand how Google, ChatGPT, Claude and every other AI platform sees your brand. (If you want to see where your site stands across Google and AI search, start here: Here is exactly how Google's new information agents work: Step 1: The buyer does a total brain dump of what they want to stay updated on. Essentially a full description of their problem, their category, their needs. Step 2: The agent breaks down that question and maps out a plan across every relevant sub-topic. Step 3: It determines urgency and what kind of intel the buyer needs right now versus later. Step 4: It sets triggers and monitors the web continuously, scanning blogs, news sites, and social posts for relevant information as it changes. Step 5: It sends the buyer an intelligent synthesized update with links and the ability to take action. Here is why this is a massive opportunity: AI Mode already has 1 billion monthly users. Queries are more than doubling every quarter. And multiple studies have shown that users arriving via AI search are more likely to convert. With information agents running continuously for over a billion users, the brands in that cited source pool are being recommended around the clock, automatically, to buyers who are actively monitoring their category. The brands that build content depth and editorial authority now are building a presence that buildings on itself 24 hours a day. This is what SEO Stuff builds for every customer. Content that covers every sub-question a buyer in your category asks, so the agent finds you at every step of its plan. Authority building from trusted websites that signal credibility to every retrieval system Google has ever built. One investment. Continuous recommendations. Around the clock. Check it out: Our most popular done-for-you package: Our done-for-you "content only" package: There is a reason more than 80 percent of SEO Stuff customers reorder. The results continue long after the work is done. #GoogleIO📷📷📷 #Google📷📷📷

Alex Groberman

157,952 次观看 • 4 个月前

I'm making $8,000 a month building Claude skills for other people's businesses. I call it the AI Concierge. I have 5 clients paying $1,200 to $2,000 a month each. My effective rate is about $1,200 an hour. Every engagement runs on one framework I call AOA: Audit, Optimize, Automate. Here's the entire model: 1) Most people skip straight to Automate. That's the fun part. It's also how you end up automating a broken process. 2) Audit first. The client shares their screen and walks the process in painful detail while I take notes in a Google Doc and interrupt with a million questions. 3) Capture the plumbing, not just the steps. Who owns each step, which tool it runs in, where the data lives, and whether that tool can connect to Claude. 4) Hand the audit doc to Claude and ask it to find a better way. Then push back. Claude's first synopsis is usually partly wrong, and the client catches it. 5) Cut the fat. Most processes are 15 steps and only need to be 11. Most clients use 3 tools where 2 would do. 6) One home per fact. One client stored customer data in ClickUp and the CRM. We killed the ClickUp copy. Duplicates are just human error waiting to happen. 7) Have Claude write the build plan. It splits the process into skills, scaffolds each one, and lists next steps. Then you lock the doc. 8) A skill is a markdown file plus reference files. A reference file is just an example of what good looks like. Claude builds all of it. 9) Build one skill at a time from the build plan. If the audit was done right, Claude one shots it. Test on a real run, let Claude interview you, iterate. Version 2 is usually the keeper. 10) Draft first, never auto send. A speed to lead skill drafts replies for review on day one. It earns auto send later. Two things that make this work: 1) Audit and Optimize are 80% of the work. Automate is the 20%. You have to earn the right to build. 2) Skills do one thing well. Split at every point a human or a wait interrupts the chain, then let an orchestrator run them back to back. Full step-by-step playbook for starting a profitable AI Concierge business (free): Full breakdown below. Enjoy!
17:44

I'm making $8,000 a month building Claude skills for other people's businesses. I call it the AI Concierge. I have 5 clients paying $1,200 to $2,000 a month each. My effective rate is about $1,200 an hour. Every engagement runs on one framework I call AOA: Audit, Optimize, Automate. Here's the entire model: 1) Most people skip straight to Automate. That's the fun part. It's also how you end up automating a broken process. 2) Audit first. The client shares their screen and walks the process in painful detail while I take notes in a Google Doc and interrupt with a million questions. 3) Capture the plumbing, not just the steps. Who owns each step, which tool it runs in, where the data lives, and whether that tool can connect to Claude. 4) Hand the audit doc to Claude and ask it to find a better way. Then push back. Claude's first synopsis is usually partly wrong, and the client catches it. 5) Cut the fat. Most processes are 15 steps and only need to be 11. Most clients use 3 tools where 2 would do. 6) One home per fact. One client stored customer data in ClickUp and the CRM. We killed the ClickUp copy. Duplicates are just human error waiting to happen. 7) Have Claude write the build plan. It splits the process into skills, scaffolds each one, and lists next steps. Then you lock the doc. 8) A skill is a markdown file plus reference files. A reference file is just an example of what good looks like. Claude builds all of it. 9) Build one skill at a time from the build plan. If the audit was done right, Claude one shots it. Test on a real run, let Claude interview you, iterate. Version 2 is usually the keeper. 10) Draft first, never auto send. A speed to lead skill drafts replies for review on day one. It earns auto send later. Two things that make this work: 1) Audit and Optimize are 80% of the work. Automate is the 20%. You have to earn the right to build. 2) Skills do one thing well. Split at every point a human or a wait interrupts the chain, then let an orchestrator run them back to back. Full step-by-step playbook for starting a profitable AI Concierge business (free): Full breakdown below. Enjoy!

Corey Ganim

68,713 次观看 • 12 天前

I built an OpenClaw🦞 agent that ranks you on Google for $50/month 😱 here’s the system that runs every week on autopilot: step 1: find your strike zone → connects to Google search console + dataforseo → finds keywords where you're positions 5–20. one good article can push to page 1 → monitors what’s climbing and dropping weekly → feeds winners back in. every cycle is smarter than the last step 2: write content only you could write → interviews you first. 8 questions about your brand, voice, and experience → follow-up interviews every week. “what are customers asking? what shipped?” → content compounds because context compounds → google AI overview can’t summarize your real experience step 3: build backlinks automatically → mines competitor backlinks → finds sites mentioning you without linking → discovers broken links you can replace with yours → last week it found 23 unlinked brand mentions across 4 competitor sites step 4: catch technical problems before rankings drop → core web vitals, bad links, redirect chains, missing meta → flags before Google step 5: future‑proof your SEO → schema, llms.txt, topical authority mapping → the stuff agencies charge $3K+ to audit once input: your site + your niche output: an AI that discovers, writes, builds links, and tracks your rankings the old way: semrush + ahrefs + surfer + seo writers = $5,500/mo this way: dataforseo ($50/mo) + everything else free 5 skills. 14 scripts. gets better every cycle. open sourcing the whole system. comment RANK + like + follow (must follow so I can DM)
0:39

I built an OpenClaw🦞 agent that ranks you on Google for $50/month 😱 here’s the system that runs every week on autopilot: step 1: find your strike zone → connects to Google search console + dataforseo → finds keywords where you're positions 5–20. one good article can push to page 1 → monitors what’s climbing and dropping weekly → feeds winners back in. every cycle is smarter than the last step 2: write content only you could write → interviews you first. 8 questions about your brand, voice, and experience → follow-up interviews every week. “what are customers asking? what shipped?” → content compounds because context compounds → google AI overview can’t summarize your real experience step 3: build backlinks automatically → mines competitor backlinks → finds sites mentioning you without linking → discovers broken links you can replace with yours → last week it found 23 unlinked brand mentions across 4 competitor sites step 4: catch technical problems before rankings drop → core web vitals, bad links, redirect chains, missing meta → flags before Google step 5: future‑proof your SEO → schema, llms.txt, topical authority mapping → the stuff agencies charge $3K+ to audit once input: your site + your niche output: an AI that discovers, writes, builds links, and tracks your rankings the old way: semrush + ahrefs + surfer + seo writers = $5,500/mo this way: dataforseo ($50/mo) + everything else free 5 skills. 14 scripts. gets better every cycle. open sourcing the whole system. comment RANK + like + follow (must follow so I can DM)

Matthew Berman

116,752 次观看 • 6 个月前

The new Google Search is rolling out and there seems to be confusion on what it will look like. Google literally told us. Let me clarify for anyone who is still unsure of what is rolling out this week. Last month Google responded to everyone saying Search is dead. Here is what they said: "You will absolutely continue to see blue web links in search results. AI Mode is not the default experience in Search. You will continue to get a range of results on Search." [Want to know where your site stands across Google AI, ChatGPT, Claude, Grok, etc? Check here (it's free): Google has explicitly laid out what Search will look like from this point going forward. The new Search box accepts text, images, files, videos, and open Chrome tabs. It anticipates your intent before you finish asking. It is powered by the most advanced Gemini model Google has ever put into Search, and layered on top of that, information agents will now be able to run 24/7 in the background on behalf of your buyer. Think of it in 5 steps: Step 1: The buyer describes their problem, their category, their needs in full. Step 2: The agent breaks that down into sub-topics and maps out a plan. Step 3: It determines what intel is needed right now versus later. Step 4: It monitors blogs, news sites, and social posts continuously for relevant changes. Step 5: It sends the buyer a synthesized update with links and the ability to take action. Blue links are not going away in the short-term, but the brands getting recommended by information agents 24 hours a day while also ranking in traditional results are going to pull so far ahead of the ones doing only one or the other that it will not be a fair fight. This is exactly what SEO Stuff ( has been building for every customer. Optimized content depth that covers every sub-question a buyer in your category asks, so the agent finds you at every step of its plan. Editorial authority from trusted websites that signals credibility to every retrieval system Google has ever built, across both traditional rankings and AI citations simultaneously. One investment. Blue links and AI citations. Around the clock. SEO Stuff's Complete Done-For-You Plan: SEO Stuff's "Optimized Content" Plan: There is a reason more than 80 percent of SEO Stuff customers reorder. The results continue long after the work is done. Google Search is changing. AI Search is here. Your websites need to prepare accordingly. Want to know where your site stands across Google AI, ChatGPT, Claude, Grok, etc? Check here (it's free):
1:26

The new Google Search is rolling out and there seems to be confusion on what it will look like. Google literally told us. Let me clarify for anyone who is still unsure of what is rolling out this week. Last month Google responded to everyone saying Search is dead. Here is what they said: "You will absolutely continue to see blue web links in search results. AI Mode is not the default experience in Search. You will continue to get a range of results on Search." [Want to know where your site stands across Google AI, ChatGPT, Claude, Grok, etc? Check here (it's free): Google has explicitly laid out what Search will look like from this point going forward. The new Search box accepts text, images, files, videos, and open Chrome tabs. It anticipates your intent before you finish asking. It is powered by the most advanced Gemini model Google has ever put into Search, and layered on top of that, information agents will now be able to run 24/7 in the background on behalf of your buyer. Think of it in 5 steps: Step 1: The buyer describes their problem, their category, their needs in full. Step 2: The agent breaks that down into sub-topics and maps out a plan. Step 3: It determines what intel is needed right now versus later. Step 4: It monitors blogs, news sites, and social posts continuously for relevant changes. Step 5: It sends the buyer a synthesized update with links and the ability to take action. Blue links are not going away in the short-term, but the brands getting recommended by information agents 24 hours a day while also ranking in traditional results are going to pull so far ahead of the ones doing only one or the other that it will not be a fair fight. This is exactly what SEO Stuff ( has been building for every customer. Optimized content depth that covers every sub-question a buyer in your category asks, so the agent finds you at every step of its plan. Editorial authority from trusted websites that signals credibility to every retrieval system Google has ever built, across both traditional rankings and AI citations simultaneously. One investment. Blue links and AI citations. Around the clock. SEO Stuff's Complete Done-For-You Plan: SEO Stuff's "Optimized Content" Plan: There is a reason more than 80 percent of SEO Stuff customers reorder. The results continue long after the work is done. Google Search is changing. AI Search is here. Your websites need to prepare accordingly. Want to know where your site stands across Google AI, ChatGPT, Claude, Grok, etc? Check here (it's free):

Alex Groberman

44,078 次观看 • 3 个月前

The new Google Search is rolling out and there seems to be confusion on what it will look like. Well, Google literally showed us. Let me clarify for anyone who is still unsure of what is going to happen. Recently Google responded to everyone saying Search is dead. Here is what they said: "You will absolutely continue to see blue web links in search results. AI Mode is not the default experience in Search. You will continue to get a range of results on Search." [Want to know where your site stands across Google AI, ChatGPT, Claude, Grok, etc? Check here (it's free): Google has explicitly laid out what Search will look like from this point going forward. The new Search box accepts text, images, files, videos, and open Chrome tabs. It anticipates your intent before you finish asking. It is powered by the most advanced Gemini model Google has ever put into Search, and layered on top of that, information agents will now be able to run 24/7 in the background on behalf of your buyer. Think of it in 5 steps: Step 1: The buyer describes their problem, their category, their needs in full. Step 2: The agent breaks that down into sub-topics and maps out a plan. Step 3: It determines what intel is needed right now versus later. Step 4: It monitors blogs, news sites, and social posts continuously for relevant changes. Step 5: It sends the buyer a synthesized update with links and the ability to take action. Blue links are not going away in the short-term, but the brands getting recommended by information agents 24 hours a day while also ranking in traditional results are going to pull so far ahead of the ones doing only one or the other that it will not be a fair fight. This is exactly what SEO Stuff ( has been building for every customer. Optimized content depth that covers every sub-question a buyer in your category asks, so the agent finds you at every step of its plan. Editorial authority from trusted websites that signals credibility to every retrieval system Google has ever built, across both traditional rankings and AI citations simultaneously. One investment. Blue links and AI citations. Around the clock. SEO Stuff's Complete Done-For-You Plan: SEO Stuff's "Optimized Content" Plan: There is a reason more than 80 percent of SEO Stuff customers reorder. The results continue long after the work is done. Google Search is changing. AI Search is here. Your websites need to prepare accordingly. Want to know where your site stands across Google AI, ChatGPT, Claude, Grok, etc? Check here (it's free):
1:26

The new Google Search is rolling out and there seems to be confusion on what it will look like. Well, Google literally showed us. Let me clarify for anyone who is still unsure of what is going to happen. Recently Google responded to everyone saying Search is dead. Here is what they said: "You will absolutely continue to see blue web links in search results. AI Mode is not the default experience in Search. You will continue to get a range of results on Search." [Want to know where your site stands across Google AI, ChatGPT, Claude, Grok, etc? Check here (it's free): Google has explicitly laid out what Search will look like from this point going forward. The new Search box accepts text, images, files, videos, and open Chrome tabs. It anticipates your intent before you finish asking. It is powered by the most advanced Gemini model Google has ever put into Search, and layered on top of that, information agents will now be able to run 24/7 in the background on behalf of your buyer. Think of it in 5 steps: Step 1: The buyer describes their problem, their category, their needs in full. Step 2: The agent breaks that down into sub-topics and maps out a plan. Step 3: It determines what intel is needed right now versus later. Step 4: It monitors blogs, news sites, and social posts continuously for relevant changes. Step 5: It sends the buyer a synthesized update with links and the ability to take action. Blue links are not going away in the short-term, but the brands getting recommended by information agents 24 hours a day while also ranking in traditional results are going to pull so far ahead of the ones doing only one or the other that it will not be a fair fight. This is exactly what SEO Stuff ( has been building for every customer. Optimized content depth that covers every sub-question a buyer in your category asks, so the agent finds you at every step of its plan. Editorial authority from trusted websites that signals credibility to every retrieval system Google has ever built, across both traditional rankings and AI citations simultaneously. One investment. Blue links and AI citations. Around the clock. SEO Stuff's Complete Done-For-You Plan: SEO Stuff's "Optimized Content" Plan: There is a reason more than 80 percent of SEO Stuff customers reorder. The results continue long after the work is done. Google Search is changing. AI Search is here. Your websites need to prepare accordingly. Want to know where your site stands across Google AI, ChatGPT, Claude, Grok, etc? Check here (it's free):

Alex Groberman

34,097 次观看 • 20 天前

I thought AEO (read: SEO for LLMs) was a hunk of bullsh*t. And then i spoke to KippBodnar.eth, CMO of HubSpot, who knocked the skepticism out of me. His first jab: In one year, they grew AI search traffic by 15x. It went from rounding error to real line item on the P&L. His second jab: AI search conversion rates are 5x higher than Google search. On some queries, 13x higher. His hook: 60% of AI citations don't come from the top 20 Google results. The companies dominating Google aren't automatically winning in AI search, which creates a huge advantage for early adopters. He then took me through his process for crushing AEO & seeing results in days, not months (like SEO): 1) Grade: your current AEO presence across ChatGPT, Perplexity, and Gemini with a tool like Hubspot's AEO grader. 2) Restructure: your content into chunked, answer-first pages with natural language headers. - one consolidated page, not 8-10 interlinked pages - lead with natural language questions like "What is X?" - 1-2 paragraph sections, not 1,000 word sections - table of contents on a single page 3) Separate: Mentions from citations and optimize differently for each - Mention = when AI references your brand or product in its answer but doesn't link to you - Citation = when an AI references you AND links to your page 4) Open up: your information — ungate content, build Reddit presence, make pricing public - Optimize for entity understanding: how well do AI models understand what your company does, based on every signal from Reddit to review sites, awards lists to help docs 5) Tool up: with AEO-specific software to track prompts and share of voice - Check out Xfunnel or Limey[.]ai 6) Rethink attribution: measure source of customers, not source of traffic. - Metrics that matter: share of voice, citation count, sentiment, mention frequency, source of customers not traffic
53:03

I thought AEO (read: SEO for LLMs) was a hunk of bullsh*t. And then i spoke to KippBodnar.eth, CMO of HubSpot, who knocked the skepticism out of me. His first jab: In one year, they grew AI search traffic by 15x. It went from rounding error to real line item on the P&L. His second jab: AI search conversion rates are 5x higher than Google search. On some queries, 13x higher. His hook: 60% of AI citations don't come from the top 20 Google results. The companies dominating Google aren't automatically winning in AI search, which creates a huge advantage for early adopters. He then took me through his process for crushing AEO & seeing results in days, not months (like SEO): 1) Grade: your current AEO presence across ChatGPT, Perplexity, and Gemini with a tool like Hubspot's AEO grader. 2) Restructure: your content into chunked, answer-first pages with natural language headers. - one consolidated page, not 8-10 interlinked pages - lead with natural language questions like "What is X?" - 1-2 paragraph sections, not 1,000 word sections - table of contents on a single page 3) Separate: Mentions from citations and optimize differently for each - Mention = when AI references your brand or product in its answer but doesn't link to you - Citation = when an AI references you AND links to your page 4) Open up: your information — ungate content, build Reddit presence, make pricing public - Optimize for entity understanding: how well do AI models understand what your company does, based on every signal from Reddit to review sites, awards lists to help docs 5) Tool up: with AEO-specific software to track prompts and share of voice - Check out Xfunnel or Limey[.]ai 6) Rethink attribution: measure source of customers, not source of traffic. - Metrics that matter: share of voice, citation count, sentiment, mention frequency, source of customers not traffic

Alex Lieberman

99,139 次观看 • 7 个月前

Local AI 101: open models, Hugging Face, and businesses to build (38 min masterclass) I still think cloud AI is the default for most things, and honestly it should be, the frontier models are the strongest and easiest to use. But something shifted in the last 4-5 months. You can now run genuinely good open models directly on your own laptop, or even your phone. And once you actually try it, it changes how you think about what AI is even for. LOCAL AI, CLEARLY EXPLAINED: 1. The model is the brain doing the thinking. Gemma, Llama, Mistral, and Qwen are the main families, and each is better at different things, some at reasoning, some at coding, some small enough to run on a phone. 2. Hugging Face is the warehouse where you find them. You go there to see what each model is good at, check the license, and grab the compressed versions that run on a normal computer. 3. The software is what runs the model on your machine. Start with LM Studio if you're not technical, it feels like a normal app where you search, download, and start chatting. Ollama is the one you reach for when you want to plug a model into your own apps. 4. The workflow is the actual product you build on top of it all. That's what I'm ideating around for some businesses to create. I think local AI just made a specific kind of business way easier to start. Find an industry that: 1. Sits on sensitive data they'd never paste into ChatGPT 2. Does the same review over and over 3. Runs on software from 2003 Then build a local AI tool that does that review on their own machine, so the data never leaves the building! Take home health agencies. Nurses write visit notes all day, and if a note is missing a detail, the billing gets denied or the audit flags it. Here's how I'd start: 1. Find 5 small agencies. Offer to review a batch of their notes for them. 2. Run the notes through Gemma locally (free, private, no cloud). Read every output yourself. 3. Write down the 20 issues that keep showing up: missing vitals, vague med changes, notes that don't support the billed level. 4. That list of 20 is your checklist. The checklist is the product. 5. Turn it into a local desktop app that flags those 20 things before a note gets submitted. You just went from a service anyone could offer to a product nobody else has, and you learned exactly what to build by doing the work by hand first. Same recipe works for restoration contractors (draft the damage report on-site before the tech leaves) and wealth advisors (catch the compliance landmine in a client email before it sends). Basically the framework is sensitive data, repeated review, ancient software. I think there are tons of businesses like this! Almost none of it clicked for me until I actually started using local AI. So if you take one thing from this, go run a model on your own machine once. Also a fun thing to try with your friends. Feel free to send this to a friend. The episode is live for free on The Startup Ideas Podcast (SIP) 🧃 (thanks to Google for sponsoring today's episode and supporting local AI) I feel like local AI one of those things you need to try for it to really click. Run one model on your own machine and you'll see what I mean! I go way deeper in the full 38 minute masterclass, the models, the setup, and the businesses to build. Link below. LINK TO WATCH: OR WATCH BELOW ON X What do you think of local AI?
38:45

Local AI 101: open models, Hugging Face, and businesses to build (38 min masterclass) I still think cloud AI is the default for most things, and honestly it should be, the frontier models are the strongest and easiest to use. But something shifted in the last 4-5 months. You can now run genuinely good open models directly on your own laptop, or even your phone. And once you actually try it, it changes how you think about what AI is even for. LOCAL AI, CLEARLY EXPLAINED: 1. The model is the brain doing the thinking. Gemma, Llama, Mistral, and Qwen are the main families, and each is better at different things, some at reasoning, some at coding, some small enough to run on a phone. 2. Hugging Face is the warehouse where you find them. You go there to see what each model is good at, check the license, and grab the compressed versions that run on a normal computer. 3. The software is what runs the model on your machine. Start with LM Studio if you're not technical, it feels like a normal app where you search, download, and start chatting. Ollama is the one you reach for when you want to plug a model into your own apps. 4. The workflow is the actual product you build on top of it all. That's what I'm ideating around for some businesses to create. I think local AI just made a specific kind of business way easier to start. Find an industry that: 1. Sits on sensitive data they'd never paste into ChatGPT 2. Does the same review over and over 3. Runs on software from 2003 Then build a local AI tool that does that review on their own machine, so the data never leaves the building! Take home health agencies. Nurses write visit notes all day, and if a note is missing a detail, the billing gets denied or the audit flags it. Here's how I'd start: 1. Find 5 small agencies. Offer to review a batch of their notes for them. 2. Run the notes through Gemma locally (free, private, no cloud). Read every output yourself. 3. Write down the 20 issues that keep showing up: missing vitals, vague med changes, notes that don't support the billed level. 4. That list of 20 is your checklist. The checklist is the product. 5. Turn it into a local desktop app that flags those 20 things before a note gets submitted. You just went from a service anyone could offer to a product nobody else has, and you learned exactly what to build by doing the work by hand first. Same recipe works for restoration contractors (draft the damage report on-site before the tech leaves) and wealth advisors (catch the compliance landmine in a client email before it sends). Basically the framework is sensitive data, repeated review, ancient software. I think there are tons of businesses like this! Almost none of it clicked for me until I actually started using local AI. So if you take one thing from this, go run a model on your own machine once. Also a fun thing to try with your friends. Feel free to send this to a friend. The episode is live for free on The Startup Ideas Podcast (SIP) 🧃 (thanks to Google for sponsoring today's episode and supporting local AI) I feel like local AI one of those things you need to try for it to really click. Run one model on your own machine and you'll see what I mean! I go way deeper in the full 38 minute masterclass, the models, the setup, and the businesses to build. Link below. LINK TO WATCH: OR WATCH BELOW ON X What do you think of local AI?

GREG ISENBERG

32,410 次观看 • 18 天前

Gun to my head, if I needed to get a client in 90 days with zero case studies, here's our playbook: 1. stop chasing the industries every guru tells you to chase. if "industries that need SEO" already has the niche on a listicle, it's because every agency already ran it dry. the real money is in boomer industries — industrial, commercial, the most unsexy niches you can think of. tristan's rule: ask claude for industries where the average owner is 65+. one guy tested the list cold calling and converted at 3X his residential rate. ticket sizes are 2-3X higher with a third of the competition. 2. the no-GBP cheat code. got your google business profile clapped for using a PO box or coworking space? build a service area page for every service in every surrounding city. austin agency targets georgetown, round rock, pflugerville — "tax prep pflugerville," "bookkeeping pflugerville," "financial planning pflugerville." scale it to 200-300 pages, link them all internally, and you collect every lead outside the GBP radius. organic SERPs are localized now so you rank for the broad term too. 3. this also wins AI search. chatgpt weighs relevance as heavily as authority, and nobody's spamming listicles for local queries the way they do for ecom. reverse engineer the long tail — someone types "i have two W-2s, a 1099, and stocks to sell, who helps with that" — and put all of it on your service page. tristan tested it: page goes up, prompt gets pulled, you show up in the answer. 4. never pitch on the first call. get them on a second call to qualify. how many SEO agencies have they used? above three is a red flag. figure out their ticket size, then send an audit showing exactly how much revenue they're leaving on the table. price local SEO at $1,500/month minimum, up to $3,500-5,000 for lawyers and competitive markets like dallas or houston. 5. first 90 days is offense and defense at the same time. defense: lay out a week-by-week game plan so they know exactly what they're paying for. offense: fix all the money pages first, then show leading metrics. impressions is the easiest early win — page starts ranking, impressions jump, and you can show "up 300% month over month" by end of month one. months two and three are content and links. 6. the biggest agency mistake both of us made: taking clients you can't service. jacky took a $10K/month client he didn't have capacity for and it gave the agency a bad rap in their whole industry. tristan's churn killer: stop assuming the client knows SEO. lead every deliverable with "this is a first draft, we need your feedback" instead of dropping a link with no context. that one habit cuts churn by 25%. bonus: systems are overrated. you can brute force an agency to mid-seven figures with five URLs, some spreadsheets, a phone number, and an AI subscription. tristan fired two people he'd built systems around and hired one killer instead. it's never the systems — it's the people. second eps with Tristan Zheng | SEO Consultant watch/listen ↓
33:56

Gun to my head, if I needed to get a client in 90 days with zero case studies, here's our playbook: 1. stop chasing the industries every guru tells you to chase. if "industries that need SEO" already has the niche on a listicle, it's because every agency already ran it dry. the real money is in boomer industries — industrial, commercial, the most unsexy niches you can think of. tristan's rule: ask claude for industries where the average owner is 65+. one guy tested the list cold calling and converted at 3X his residential rate. ticket sizes are 2-3X higher with a third of the competition. 2. the no-GBP cheat code. got your google business profile clapped for using a PO box or coworking space? build a service area page for every service in every surrounding city. austin agency targets georgetown, round rock, pflugerville — "tax prep pflugerville," "bookkeeping pflugerville," "financial planning pflugerville." scale it to 200-300 pages, link them all internally, and you collect every lead outside the GBP radius. organic SERPs are localized now so you rank for the broad term too. 3. this also wins AI search. chatgpt weighs relevance as heavily as authority, and nobody's spamming listicles for local queries the way they do for ecom. reverse engineer the long tail — someone types "i have two W-2s, a 1099, and stocks to sell, who helps with that" — and put all of it on your service page. tristan tested it: page goes up, prompt gets pulled, you show up in the answer. 4. never pitch on the first call. get them on a second call to qualify. how many SEO agencies have they used? above three is a red flag. figure out their ticket size, then send an audit showing exactly how much revenue they're leaving on the table. price local SEO at $1,500/month minimum, up to $3,500-5,000 for lawyers and competitive markets like dallas or houston. 5. first 90 days is offense and defense at the same time. defense: lay out a week-by-week game plan so they know exactly what they're paying for. offense: fix all the money pages first, then show leading metrics. impressions is the easiest early win — page starts ranking, impressions jump, and you can show "up 300% month over month" by end of month one. months two and three are content and links. 6. the biggest agency mistake both of us made: taking clients you can't service. jacky took a $10K/month client he didn't have capacity for and it gave the agency a bad rap in their whole industry. tristan's churn killer: stop assuming the client knows SEO. lead every deliverable with "this is a first draft, we need your feedback" instead of dropping a link with no context. that one habit cuts churn by 25%. bonus: systems are overrated. you can brute force an agency to mid-seven figures with five URLs, some spreadsheets, a phone number, and an AI subscription. tristan fired two people he'd built systems around and hired one killer instead. it's never the systems — it's the people. second eps with Tristan Zheng | SEO Consultant watch/listen ↓

Jacky Chou (buying online businesses up to $1m)

16,582 次观看 • 3 个月前

This is my new favourite SEO tool: It's like Surfer SEO but with GSC recommendations added... and like 85% cheaper. To put it in perspective, I’m currently paying around $1,400 per year for Surfer SEO. Which gets me 100 Content Editors per month. (Not hating on Surfer, I think it’s great and I'm a paying customer) But Content Raptor… for one site… is just $10 per month for UNLIMITED content editors. Which is just fantastic value. (They're also offering a limited-time $1 for your first month to try it out but only for the next couple days, so if you dont wanna pay the normal price then just do that lol) Key features: - Finds missing entities (like Surfer) - Connects to GSC for real data + ROI-based recommendations - Identifies traffic opportunities from missing keywords (kinda like Query Hunter) - Shows "Top Opportunity Pages" to maximize traffic gains based on GSC data - Built-in rank tracker (150 keywords/day included in the $10/mo package) Perfect for: - Multi-site portfolio owners like me - And agency owners managing client content - Solo website owners wanting a cheaper alternative to most tools It makes it so easy to optimize content that my VAs could do it within a few videos' worth of training. So any junior SEO on your team could use this and crush with no issues 100%. (I don’t have an affiliate link here no bias… but I did get early access and have given feedback on the product developments to Zak, the founder)
7:57

This is my new favourite SEO tool: It's like Surfer SEO but with GSC recommendations added... and like 85% cheaper. To put it in perspective, I’m currently paying around $1,400 per year for Surfer SEO. Which gets me 100 Content Editors per month. (Not hating on Surfer, I think it’s great and I'm a paying customer) But Content Raptor… for one site… is just $10 per month for UNLIMITED content editors. Which is just fantastic value. (They're also offering a limited-time $1 for your first month to try it out but only for the next couple days, so if you dont wanna pay the normal price then just do that lol) Key features: - Finds missing entities (like Surfer) - Connects to GSC for real data + ROI-based recommendations - Identifies traffic opportunities from missing keywords (kinda like Query Hunter) - Shows "Top Opportunity Pages" to maximize traffic gains based on GSC data - Built-in rank tracker (150 keywords/day included in the $10/mo package) Perfect for: - Multi-site portfolio owners like me - And agency owners managing client content - Solo website owners wanting a cheaper alternative to most tools It makes it so easy to optimize content that my VAs could do it within a few videos' worth of training. So any junior SEO on your team could use this and crush with no issues 100%. (I don’t have an affiliate link here no bias… but I did get early access and have given feedback on the product developments to Zak, the founder)

Jamie I.F.

17,621 次观看 • 2 年前

Here's how I'm running automated content engine in 2 files 1 markdown file = my wiki 1 html file = my dashboard that's the whole stack. [ the architecture, in plain words ]: LLM wiki = a single markdown file holding my audience DNA, 15 tracked creators, every viral topic from the last 30 days HTML artifact = a single page that reads that markdown file AND can trigger my agents the artifact and the agent talk to each other directly the wiki is the shared brain [ what I actually see when I open it at 9am ]: > 5 trending topics ranked by my audience-DNA fit > 3 KOL posts worth quoting today > last week's saved tweets (so I can ride waves that are still warm) > buttons: [draft tweet] [draft QT] [schedule] [log idea] 1. I click "draft tweet" on a topic 2. the artifact pings my agent 3. agent reads the wiki, drafts in MY voice, returns it to the artifact 4. I edit, schedule, done 15 minutes from morning coffee to 3 scheduled posts [ how to build the same in one evening ]: > step 1: dump your domain knowledge into ONE markdown file (audience profile, KOL list, content rules, voice guide, anything an agent would need to do YOUR job) > step 2: ask claude to build an html artifact that reads from that file ("here's my wiki, build me a dashboard with these views") > step 3: add buttons for the actions you do daily (draft, schedule, log, score, search — your workflow, not mine) > step 4: wire each button to call your agent via tool calls (so the artifact and the agent talk directly) the moment your artifact reads your wiki AND triggers your agents.. most SaaS tools you currently pay for quietly become unnecessary dashboards I used to pay $50/month for now sit in a single html file I can rebuild in 20 minutes every "I'll build a SaaS for this" idea you had last year is a 200-line file you write in an afternoon if you want to get the same content engine, just reply "CONTENT" and will send you in DMs later we're going from buying software to owning it.
0:45

Here's how I'm running automated content engine in 2 files 1 markdown file = my wiki 1 html file = my dashboard that's the whole stack. [ the architecture, in plain words ]: LLM wiki = a single markdown file holding my audience DNA, 15 tracked creators, every viral topic from the last 30 days HTML artifact = a single page that reads that markdown file AND can trigger my agents the artifact and the agent talk to each other directly the wiki is the shared brain [ what I actually see when I open it at 9am ]: > 5 trending topics ranked by my audience-DNA fit > 3 KOL posts worth quoting today > last week's saved tweets (so I can ride waves that are still warm) > buttons: [draft tweet] [draft QT] [schedule] [log idea] 1. I click "draft tweet" on a topic 2. the artifact pings my agent 3. agent reads the wiki, drafts in MY voice, returns it to the artifact 4. I edit, schedule, done 15 minutes from morning coffee to 3 scheduled posts [ how to build the same in one evening ]: > step 1: dump your domain knowledge into ONE markdown file (audience profile, KOL list, content rules, voice guide, anything an agent would need to do YOUR job) > step 2: ask claude to build an html artifact that reads from that file ("here's my wiki, build me a dashboard with these views") > step 3: add buttons for the actions you do daily (draft, schedule, log, score, search — your workflow, not mine) > step 4: wire each button to call your agent via tool calls (so the artifact and the agent talk directly) the moment your artifact reads your wiki AND triggers your agents.. most SaaS tools you currently pay for quietly become unnecessary dashboards I used to pay $50/month for now sit in a single html file I can rebuild in 20 minutes every "I'll build a SaaS for this" idea you had last year is a 200-line file you write in an afternoon if you want to get the same content engine, just reply "CONTENT" and will send you in DMs later we're going from buying software to owning it.

Ronin

50,315 次观看 • 4 个月前

HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch
39:43

HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch

GREG ISENBERG

83,349 次观看 • 2 个月前

Elon Musk is building something no platform in history has actually attempted. A system that judges ideas without knowing who wrote them. Musk: “It should be possible for somebody to post content as a new user with no followers, and if that content is excellent, it gets seen by a lot of people.” Every platform before this ran on a single hidden variable. Identity. Not quality. Not originality. Not depth. Identity. Who you were determined what got seen. The architecture didn’t surface the best thinking. It surfaced the most established thinker. It chose pedigree over precision. Every single time. Musk is the first person with the infrastructure, the capital, and the sheer indifference to consensus required to strip that variable out. Grok reads everything. Every post from every account. Zero followers or ten million. No weighting for legacy. No deference to tenure. It measures one thing. Intrinsic excellence. The printing press created publishers. Radio created networks. Television created anchors. Social media created influencers. Every technology of liberation produced a new gatekeeper within one generation. Musk is betting AI is the first tool that can’t be captured. An algorithm with no concept of identity has no incumbency to protect. It just reads. And it surfaces what’s best. If that works, it doesn’t just change a platform. It exposes something about every system that came before it. Every trending page, every algorithm, every feed that claimed to surface quality was never measuring quality. It was measuring proximity to power and calling it merit. We never had meritocracy. We had hierarchy with better marketing. Musk is building the first real one. And the question it forces isn’t whether you can compete. It’s whether your work was ever actually good, or you were just early. Everyone wants meritocracy. Almost nobody has ever lived in one.
0:50

Elon Musk is building something no platform in history has actually attempted. A system that judges ideas without knowing who wrote them. Musk: “It should be possible for somebody to post content as a new user with no followers, and if that content is excellent, it gets seen by a lot of people.” Every platform before this ran on a single hidden variable. Identity. Not quality. Not originality. Not depth. Identity. Who you were determined what got seen. The architecture didn’t surface the best thinking. It surfaced the most established thinker. It chose pedigree over precision. Every single time. Musk is the first person with the infrastructure, the capital, and the sheer indifference to consensus required to strip that variable out. Grok reads everything. Every post from every account. Zero followers or ten million. No weighting for legacy. No deference to tenure. It measures one thing. Intrinsic excellence. The printing press created publishers. Radio created networks. Television created anchors. Social media created influencers. Every technology of liberation produced a new gatekeeper within one generation. Musk is betting AI is the first tool that can’t be captured. An algorithm with no concept of identity has no incumbency to protect. It just reads. And it surfaces what’s best. If that works, it doesn’t just change a platform. It exposes something about every system that came before it. Every trending page, every algorithm, every feed that claimed to surface quality was never measuring quality. It was measuring proximity to power and calling it merit. We never had meritocracy. We had hierarchy with better marketing. Musk is building the first real one. And the question it forces isn’t whether you can compete. It’s whether your work was ever actually good, or you were just early. Everyone wants meritocracy. Almost nobody has ever lived in one.

Dustin

29,704 次观看 • 3 个月前