J. retweeted
El SEO tradicional está muerto. Si sigues escribiendo artículos de blog solo para rellenar palabras clave, estás tirando el dinero.
Agencias de USA como Siege Media o WebFX juegan a otra cosa. Su contenido es pura ingeniería.
Abro hilo para dominar Google y las IA en 2026/27 👇
J. retweeted
how I'd build a top 1% content system with Grok Bot in 30 minutes:
- start with a scout bot that reads X every morning without an X API key. it pulls the top posts in your niche, breaks down why they hit, and saves the winning hooks and formats into a swipe file
- set a daily routine that turns those viral posts into questions for you. "this post about firing your first client got 2M views. what's your version?" you answer with a quick text or voice note, and that's your spin on a format that's already proven
- every answer gets saved to a knowledge base, so the system builds a library of your stories, opinions, and lessons and never has to write from nothing
- make a second bot your voice. give it your 20 best posts and turn your writing style into a skill, so every draft sounds like you and not like AI
- put the scout, the writer, and an editor bot in one group chat. the scout brings the format, the writer pairs it with your story, the editor tears it apart, and you only see what survives
- have it make the visuals too, like thumbnails, carousel images, and short clips, so a post never stalls waiting on a designer
- set a weekly routine that pulls your own post metrics, like impressions, likes, and replies per post, and logs them to a database so you see which topics and formats are actually growing you
- close the loop: every Monday it reads last week's numbers, asks better questions based on what worked, and has the next week's posts drafted before you open your laptop
wild how easy this is now
how to build a top 1% Grok Bot setup in 30 minutes:
- run it on your own machine, that's where it shines: it can run ANY other agent you have, so every model works inside its best harness, and any agent can pick up the files it writes
- connect your email and calendar so it knows your priorities and every deadline coming up
- install /last30days and connect Parallel for way sharper research, no X API needed
- turn on the Cloudflare connector so it can host anything it builds and manage your databases
- create one bot whose only job is deep research, saving everything into a knowledge base that every other bot checks before building anything
- put your bots in groups so they talk to each other and come up with real plans before they build
- give them an OpenRouter key so they can call any model, even the ones you don't pay a sub for
- set up simple routines so Grok Bot uses your computer and whatever else it has access to, and keeps every project moving without you pushing it
J. retweeted
最简单最有效的提升你的 Google 排名的方式。
我只说一遍。
创建 YouTube 频道。
在 youtube 社区和你的视频简介里面都可以带上你的网址
视频怎么做？ 只要使用 Hyperframes ，让 agent 进入你的网址，帮你针对每个功能进行拆解和介绍就行了。
J. retweeted
Are you figuring out what you want to build?
Build something for AI agents to use.
Build for AI agents as your PRIMARY user.
See what happens.
J. retweeted
Cet article résume toutes les erreurs SEO que j'ai faites avec l'IA
Donnez-le à votre Claude avant de publier une page de plus
Et évitez-vous des mois de galère 😅
xitter.cf/NicholasDulait/status/…
J. retweeted
A masterclass on how to rank #1 on Google in less than 4 months using this 5-step SEO process: xitter.cf/SEOKeval/status/211109…
J. retweeted
Google is now literally telling businesses specifically how to get traffic from AI Search.
Yes, directly within Google Search Console.
It's probably one of the most important marketing updates of 2026.
Let’s go through it.
By the way, you can see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok here (it's free):
seo-stuff.com/free-audit
Recently Google launched a new Generative AI performance report inside Search Console.
At first, it looked like a very limited rollout, but now more and more site owners are seeing it.
John Mueller also confirmed that Google is rolling it out incrementally and reviewing feedback along the way.
So if you do not see it yet, give it a few days, but the direction is pretty clear.
AI Search visibility is becoming something businesses can actually measure, and this report shows how often URLs from your site appear in Google’s generative AI features.
Yes, that includes AI Overviews and AI Mode.
It can also show which pages appeared, which countries the impressions came from, which devices people were using and how performance changed over time.
That matters a lot, because until now, a lot of AI Search tracking has been messy.
It has featured a lot of screenshots, manual prompt testing, third party tools, guessing from referral traffic, watching ChatGPT, Perplexity, Claude, Grok and Google manually to see whether your brand appears, etc.
Now Google is giving site owners a direct view into whether their pages are appearing inside Google’s own AI features.
There is one big limitation, though: this is impression data as opposed to clicks data.
Google is showing whether your site appeared inside generative AI features, but it is not yet showing how many people clicked from those AI features to your site.
This is where SEO Stuff (seo-stuff.com/gold-plan-pack…) can help.
A business can be visible in AI Search and still see fewer clicks than it used to get from traditional search.
At the same time, a business can also be completely missing from AI Search and not realize competitors are being shown instead.
If your AI impressions are high but clicks are weak, the issue may be the way Google is satisfying the search before the user visits your site.
If your AI impressions are low, the issue may be that Google does not understand, trust or retrieve your pages for the questions customers are asking.
If only your informational pages appear, but your product, service, pricing, comparison and case study pages do not, that tells you something.
If one country shows AI visibility and another does not, that tells you something.
If a few pages get most of the AI impressions, that tells you something.
This is why the report is such a big deal, and it gives businesses a starting point so you can finally ask better questions.
Which pages are showing up in AI Overviews?
Which pages are showing up in AI Mode?
Which countries are seeing the brand?
Which devices are seeing the brand?
Which parts of the buying journey are missing?
Which content is actually being used by Google’s AI systems?
That last question is the one most businesses should care about, and it is the one SEO Stuff solves for brands on a daily basis:
seo-stuff.com/premium-conten…
A customer can ask a long, complicated question and Google can break that question into several related searches behind the scenes.
That means the same business may need useful content around problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation.
One generic service page probably will not cover all of that.
A brand with useful content across the full buying journey has more chances to be discovered.
Google’s new report will make that easier to see.
And this also lines up with what Google just said in its “Good SEO is good GEO” piece. (See my post from yesterday if you missed it.)
Google said its generative AI features are rooted in the same core ranking and quality systems as traditional Search.
AI Mode and AI Overviews retrieve up-to-date content from Google’s existing search index.
So the businesses that want AI visibility still need the same boring foundation: crawlable content, useful pages, clear product information, real expertise, entity clarity, authority, third party validation, etc.
That is where SEO Stuff (seo-stuff.com) comes in.
The done-for-you package combines 10 AI-search-optimized articles with three DR50+ authority placements:
seo-stuff.com/gold-plan-pack…
The content helps your business cover the questions customers ask before buying, including problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation.
The authority placements help your business show up across trusted sources that search and AI systems use to understand categories.
Google is starting to show businesses whether they are appearing in AI Search.
Once something becomes a report, it becomes something clients, founders, CMOs and competitors start paying attention to.
If you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here:
seo-stuff.com/free-audit
Almost 73% of the websites cited across ChatGPT, Claude, Gemini and Perplexity appeared in just ONE of them.
Only 2.2% were cited by all four.
So if you are checking ChatGPT to see whether your company is “showing up in AI search,” you may be looking at a very incomplete picture.
A new study gives us a useful look at just how differently the major AI platforms research and cite the web.
Let’s go through it.
And if you want to see where your business stands across ChatGPT, Claude, Google AI, Perplexity, Grok and broader AI search, start here. It’s free:
seo-stuff.com/free-audit
Prefer ran the same 80 questions through ChatGPT, Perplexity, Gemini and Claude.
Each question was tested three times on each platform, and that produced 960 AI answers and 1,329 different cited websites.
The results were pretty interesting.
966 of those websites appeared in only one AI engine.
205 appeared in two.
129 appeared in three.
Just 29 appeared across all four.
Basically, there really was no universal “AI search result.”
Different systems can research the exact same topic and pull information from very different parts of the web.
SEO Stuff's Done-for-you setup was created with this in mind:
seo-stuff.com/gold-plan-pack…
The number of sources they cited was dramatically different too.
Perplexity averaged 19.48 sources per answer.
Gemini averaged 8.64.
Claude averaged 4.58.
ChatGPT averaged just 3.05.
Across the 240 answers generated by each platform, Perplexity cited 748 different websites, Gemini 580, Claude 333 and ChatGPT 218.
That is why asking “How do I rank in AI?” is not as informative as it sounds.
The questions that make a bit more sense (and will help you more long-term) are:
How often do I appear in ChatGPT?
What does Claude know about my company?
Which sources does Perplexity trust in my category?
What is Gemini surfacing for the questions my buyers ask?
There was another important finding, by the way.
The researchers asked the same questions three times within seconds of each other, yet the cited websites still changed.
Average overlap between repeat runs was:
96% for Perplexity.
68% for Claude.
37% for ChatGPT.
35% for Gemini.
Same question.
That matters enormously for measurement because if you ask ChatGPT one question once and do not see your company, that does not necessarily mean you never appear.
And if you do see your company once, that does not mean you reliably own that answer either.
You need repeated measurements across multiple prompts and multiple platforms, otherwise you can end up building an entire AI strategy around a screenshot.
So what about sources?
Well, Reddit appeared in 207 of the 960 answers, making it the most frequently cited site in the study.
Claude cited Reddit zero times.
Gemini cited YouTube in 113 answers.
ChatGPT, Claude and Perplexity cited YouTube zero times in this dataset.
Perplexity cited LinkedIn in 73 answers.
Claude cited it twice.
ChatGPT and Gemini did not cite it at all.
Again, the study focused on 80 questions about AI search, GEO and AEO. Healthcare, finance, ecommerce or local-service prompts could produce a very different source mix, but the larger point is difficult to ignore.
Different AI systems have different retrieval behavior, different source ecosystems and different levels of citation consistency.
That said, the biggest authoritative sources traveled much better across platforms.
Among the 25 most-cited sites, 23 appeared across three or four engines.
Five of the top 10 appeared across all four.
So the fragmentation was much heavier in the long tail, and that may actually be the most useful takeaway for businesses.
You want enough content breadth to appear across many relevant questions, but you also want enough authority that multiple systems repeatedly trust your website and the third-party sources validating your company.
That is where traditional SEO and AI Search Optimization start overlapping again.
Build useful content around the questions buyers actually ask.
Make your company, products and category easy to understand.
Earn credible third-party mentions and contextual backlinks.
Create comparisons, alternatives, use cases and decision-stage content.
That is exactly why SEO Stuff approaches AI visibility across multiple platforms rather than treating it as a ChatGPT-only exercise:
seo-stuff.com/
A company can perform well in ChatGPT and poorly in Claude.
If your company only measures one AI platform, you may be missing most of the picture.
And if you want to see where your business stands across Google, ChatGPT, Claude and the major AI search platforms, start here:
seo-stuff.com/free-audit
J. retweeted
Postiz hitting $275k MRR so FAST is a great example of what I'm seeing: tools that agents use for things like posting, email, payments, phone numbers and browsing are going vertical.
A few other businesses I keep seeing go vertical:
- Data brokering. Selling rare/useful AND expert knowledge to labs and to companies training their own agents.
- Hosting for agents. Renting always on computers so people can run their agents 24/7. A lot of people want an agent working for them and have no idea how to set one up.
- Compute reselling. Buying GPU capacity in bulk and renting it out to smaller teams who need it for a few hours.
- Vertical harnesses. Agents built for one industry and one workflow, like insurance claims or construction bids.
- Skills. People are selling packaged skills that make an agent good at a specific job.
- Done for you agent setup. Local businesses are paying someone to set up agents for them, the same way they used to pay someone to build their website.
When you zoom out, almost all of these do one of three things. They sell to agents, they feed agents, or they house agents!
Postiz is now at:
- $275k in MRR
- 1,433 active trials
- 8,052 customers
And I keep on finding new places to get customers that my competitors don't go to. It's crazy!
J. retweeted
if marketing really is 80% of the success, here's where i'd spend the 80%:
1. get painfully clear on positioning. one sentence should tell me WHO this is for, WHAT it helps them do, and WHY i'd choose it over the alternatives.
2. steal your language from customers. sales calls, reviews, support tickets, Reddit, DMs. save the exact words people use for pains, objections + desired outcomes and write from those.
3. pick one distribution channel and get unusually good at it. X, YouTube, LinkedIn, short-form, SEO, whatever already has your buyers. depth beats being mediocre everywhere.
4. spend almost as much time packaging as creating. hook, title, thumbnail, first 3 seconds. nobody gets value from something they never click.
5. build around repeated problems, not random content ideas. if customers ask the same question 20 times, that's probably a post, landing page, ad, email + sales asset.
6. study your outliers. when one post gets 10x the normal reach or one ad crushes everything else, don't “move on.” figure out the topic, hook, format + audience behind it and make more.
7. turn one good idea into 10 pieces. article → X posts → video → clips → newsletter → carousel → sales email. good ideas should travel.
8. collect proof constantly. screenshots, customer quotes, numbers, before/after, use cases. marketing gets WAY easier when you don't have to manufacture credibility.
9. move people somewhere you own. social gets you discovered. email, community + your site let you reach them again without asking an algorithm for permission.
10. keep the loop running:
customer → insight → content → attention → conversation → sale → more customer insight.
making something great is only half the job.
people have to know it exists.
J. retweeted
You can spend 5 years, working harder than anyone else, writing the best book in the world, but if nobody knows about it, then you will not be a successful author.
This is the downfall of most creatives. They hate marketing, but marketing is 80% of their success.
J. retweeted
Your competition is literally 0.00001. Everyone is distracted. No one can keep their attention on one thing and build. No one reads anymore. No one studies history and repeated patterns. Easiest time in history to make money. Less consumption, more creation.
J. retweeted
Alex Hormozi's LinkedIn playbook that took him past 1M followers in 2026:
> ~18 posts a week, weekends included
> over half are one-line quote cards with little or no caption
> those cards average 2x the reactions of his videos
> winning clips get re-posted weeks later
> one CTA: a free roadmap on a LinkedIn-tracked link
Full breakdown below 👇
J. retweeted
ADVANCED TECHNICAL SEO: MINI-COURSE
CRAWLING & INDEXATION
├── Analyze server logs to understand Googlebot behavior
├── Find crawl traps and infinite URL spaces
├── Diagnose crawl budget waste on large websites
├── Identify orphan pages and broken crawl paths
├── Investigate canonical conflicts at scale
├── Detect index bloat and duplicate URL patterns
└── Compare discovered, crawled, indexed & ranking URLs
JAVASCRIPT SEO
├── Compare raw HTML vs. rendered DOM
├── Diagnose hydration and rendering failures
├── Audit client-side navigation and internal links
├── Test lazy-loaded content and images
├── Find API failures affecting page rendering
└── Validate critical content in rendered HTML
ADVANCED SITE ARCHITECTURE
├── Map internal PageRank distribution
├── Analyze click depth for revenue-generating pages
├── Optimize faceted navigation and URL parameters
├── Audit pagination and infinite scroll
├── Detect redirect chains and conflicting signals
└── Design scalable architecture for 100K+ URLs
PERFORMANCE ENGINEERING
├── Diagnose LCP, INP & CLS bottlenecks
├── Analyze JavaScript execution and long tasks
├── Inspect critical rendering paths
├── Optimize caching, fonts & resource priorities
├── Separate server delays from frontend bottlenecks
└── Compare field data with lab performance tests
LOG FILE ANALYSIS
├── Segment Googlebot requests by URL pattern
├── Measure crawl frequency by page template
├── Identify wasted requests and repeated errors
├── Detect important URLs Google rarely crawls
├── Compare bot activity against sitemap URLs
└── Correlate crawl patterns with indexation changes
STRUCTURED DATA & ENTITIES
├── Validate JSON-LD against visible page content
├── Diagnose conflicting entity properties
├── Audit Organization, Product & Breadcrumb schema
├── Validate eligibility for supported search features
├── Monitor rich-result errors and warnings
└── Never treat schema as a guaranteed ranking boost
INTERNATIONAL & ENTERPRISE SEO
├── Debug hreflang return-tag errors
├── Resolve canonical and hreflang conflicts
├── Audit localized URL structures
├── Automate large-scale audits with Python & APIs
├── Monitor deployments for indexation regressions
└── Build dashboards across crawl, log & GSC data
ADVANCED SEO DEBUGGING
├── Diagnose Google-selected canonical mismatches
├── Investigate soft 404s and unexpected deindexation
├── Find robots.txt and noindex conflicts
├── Separate algorithm updates from technical failures
├── Analyze traffic losses by template and directory
└── Validate fixes with repeatable tests
THE FINAL CHALLENGE
├── Crawl a website with 100,000+ URLs
├── Identify the 5 highest-impact technical issues
├── Quantify affected pages and business impact
├── Prioritize fixes by impact, effort & risk
├── Deploy fixes and verify implementation
└── Measure indexation, clicks, conversions & revenue
THE REAL DIFFERENCE
Beginner SEO:
Find errors
→ Export spreadsheet
→ Send report
Advanced Technical SEO:
Find root cause
→ Prove with data
→ Fix at scale
→ Validate
→ Measure business impact
P.S. Technical SEO isn't about fixing every warning
in an audit tool.
It's about removing the technical barriers that stop
valuable pages from being discovered, understood,
indexed, and surfaced in search.
Debug like an engineer.
Think like an SEO.
Measure like a business owner.
#SEO
If you're new to SEO / AEO / GEO, here's a mini-course:
- Pick a niche (SaaS, local businesses, e-commerce)
- Build a website or find a business that lets you practice
- Connect Google Search Console + GA4
- Learn crawling, indexing & ranking
- Understand robots.txt, canonicals & XML sitemaps
- Use Ahrefs/Semrush to study 5 competitors
- Collect 100 keywords your customers actually search
- Group them by search intent & topic clusters
- Google your keywords and study the top 5 results
- Find 10 low-competition, high-intent keywords
- Create genuinely useful pages around them
- Learn on-page SEO (titles, H1s, URLs & meta descriptions)
- Add internal links between relevant pages
- Use original screenshots, examples & data
- Learn AEO: answer questions clearly and directly
- Add relevant structured data where eligible
- Run technical audits using Screaming Frog
- Fix indexing issues, broken links & slow pages
- Study competitor backlinks and earn relevant links
- Learn GEO: how ChatGPT, Gemini & Perplexity discover sources
- Track which brands get cited for your target queries
- Create content that fills gaps in those AI answers
- Build credible mentions on relevant third-party websites
- Use AI for research, not mass-producing garbage
- Track rankings, clicks, conversions & AI visibility
- Refresh pages getting impressions but few clicks
- Double down on pages bringing actual customers
- Document your process, results & screenshots
P.S. It's really that simple.
Get results, turn them into case studies & start charging your clients.
J. retweeted
I achieved 10+ quality backlinks.
For this, I used a simple SEO strategy.
The strategy is:
ALT backlinks
J. retweeted
$200M ARR from SEO. The SEO-on-steroids playbook behind airSlate:
1/ They run one of the biggest SEO machines on the internet
-> 4.8B keywords tracked and 35M pages built over the years: a page for every form, tool and city, even "compress PNG from 17MB to 15MB", in 7+ languages
-> PDFfiller even ranks #1 on Google for "fake marriage certificate"
2/ They buy companies, put their SEO machine behind them and grow revenue 10x
-> signNow made ~$3M a year when they bought it, paying only $2M in cash. Now it makes $35M
-> Every company keeps its own name and team, and shares only marketing, payments and DevOps
3/ They sell to 31M tiny US businesses
-> The plumber, the baker, the bookstore owner. 1.1M of them pay ~$180 a year each
4/ One simple page makes $106M a year
-> PDFfiller, a site where you edit and sign PDFs, has ~860K paying customers on its own
5/ A free AI product built only to pull traffic
-> bizdraft . com writes a legal agreement in 90 seconds with no sign-up, then sends people to their paid tools
6/ Even they think mass SEO is about to end
-> The CEO gives keyword SEO 9-12 more months and expects search to drive 30% of new customers instead of 80%. On ChatGPT SEO gurus: "It's bullshit"
7/ They copy Google's search suggestions and make a page for each one
-> Type "rental agreement" into Google and it suggests "rental agreement for a room in Texas"
-> Their US Legal Forms site makes a page with that exact title, so it matches exactly what people search. They have ~120K of these pages
8/ 37,000 "DocHub vs X" comparison pages
-> One for almost every competitor on earth, even tools nobody has heard of
-> Plus 41 websites named after exact searches, like merge-pdf.dochub [.] com and chat-with-pdf.dochub [.] com
9/ They also run one of the most advanced Google Ads strategies out there
-> 60M keywords, zero salespeople, and bidding math so good that a new customer's first payment already covered what the ad cost
10/ One product paid for everything
-> PDFfiller was "a cash machine". They hit $18M revenue before raising, and reached $200M ARR on less than $200M raised
Prepared by growth hackers at Ryze AI, the AI agent for paid ads
“ChatGPT SEO gurus? It’s bullshit," $200m ARR CEO of @airSlate
In Vadim's first ever public interview on Top Founders podcast, he shares:
Financial data
(03:40) DocHub $22M, pdfFiller $106M, signNow $35M
(03:52) “This page does $106M of revenue”
(03:57) 866,000 paying customers on one product
(04:35) 85,000 forms hand-built by lawyers
(07:16) 2x ARR but Valuation down $1b to $800m
(07:35) $100M revenue at last round. Now $200M
(08:19) 2015: GC money, bought signNow, hit $50M
(08:42) $18M revenue in 2013–2014
(09:10) “pdfFiller was a cash machine”
(10:51) 1.1M paying customers, 866,000 on pdfFiller
(11:04) 1.1M customers ÷ $200M = $180/year each
(18:30) $200M ARR on <$200M equity raised
Growth tactics
(01:23) No “AI” branding
(01:53) Why acquired brands keep their own names
(04:58) Unannounced AI product
(05:35) 85,000 lawyer-built forms. Why he’s not Harvey
(07:55) “Customers build their own software? Baloney.”
(08:54) Bought signNow at $3M. Now $35M
(11:26) 4.8 billion keywords managed
(11:30) 35 million SEO pages built
(12:33) Contextual relevance vs programmatic SEO
(12:50) 4.8B keywords. “Very few are productive.”
(13:07) Search influence drops from 80% to 30%
(13:30) Keyword-volume SEO dead in 9–12 months
(14:27) “ChatGPT SEO gurus? It’s bullshit.”
(14:55) “Our competition was not sophisticated”
(15:05) Superior PPC bidding math. Now everyone has it
(16:31) Vertical vs horizontal: the NDR fight
Fundraising, M&A
(06:43) $150M raised total, GE Capital, Morgan Stanley
(07:03) June 2022: $52M at a $1.25B valuation
(07:45) “My VC friends don’t understand”
(08:35) Raised first money at $8.5M revenue
(09:21) The no-board, no-VC golden years
(09:37) “Get money as late as you possibly can”
(17:26) Running the Bending Spoons playbook
(17:37) M&A rule: $1M products “not interesting.”
(17:56) How he handles a real board
(18:40) “Some raised $20 for every $1 of ARR. Not us.”
(18:46) “VC objectives and mine are slightly different”
Available today wherever you get your podcasts.