Revenue from sites less than 30 days old. Zero links. This is getting EASY #seo #leadgen

Testing X algo. Please COMMENT only if you see me. I think I’m in lowest tier of reach.

I’ve seen at least 20 new tools come online that say they can build and SEO a website. Not ONE of them had any case study proof. @xagioapp builds optimized Wordpress websites that rank #1 for solid keywords in 24 hours and we’ve got more than enough proof. Seo maui Scottsdale General Contractor Pool builder Davie Commercial Plumber Austin Sprayfoam insulation Baltimore Etc etc etc. #seo

Google has a FREE tool that shows you EXACTLY how it reads your content, it was around before ChatGPT and most SEOs have never even opened it.. Go to: cloud.google.com/natural-lan… and scroll to the "Try the API" box, then paste in your page content and click "Analyze" Google will show you: - Every ENTITY it detected (people, places, brands, concepts) - The SALIENCE score for each (how important Google thinks that entity is to your page) - The CATEGORY it assigned your content to Now do the same thing with the #1 ranking page for your keyword... Compare the two. You'll see: - Entities they mention that you don't (add them) - Their top entity has 0.85 salience, yours has 0.3, you need to mention your primary topic more prominently and earlier in the content - How Google categorizes the pages (e.g. My piece is categorized as SEO, HowTo/Expert Content, Marketing and Web Design/Dev, I want it to be the same categorization as the other ranking pages. You can also just save both of the outputs (Save the page or print as a PDF) and ask AI to compare the two for you with recommendations! This is literally Google telling you what it thinks your page is about vs what it thinks the page that's outranking you is about. The gap between those two outputs IS your content optimization checklist. You don't need ANY expensive subscriptions, it literally takes a few minutes per page, and it's the closest thing to seeing your content through the eyes of the algo that exists because it IS Google's own NLP model.

At what point do we all start to agree the market reacts to @BCBacker instead of @BCBacker to the market? He really is the 🐐

☠️your vibe coded website is not safe anymore i built a browser extension to extract api keys if the webpage using supabase it extracts the project id and api keys and scans all the vulnerabilities in my pentest tool with one click launching the pentest tool soon

I made this post exactly a year ago about my goals for @chatbase for 2025. We’re now doing over $8M ARR and growing fast. We had a lot of wins in 2025 but also made a lot of mistakes. I think the biggest mistake bootstrapped founders make is acting like a bootstrapped founder for too long. Always being careful. Hiring slowly. Making sure you don’t spend. Optimizing for profitability. Thinking about how to double instead of how to 10x. Thinking bigger is actually easier. You cut all the bs. All the small step improvements that don’t really matter. If I look at the numbers, we’re bigger than many Series B companies now. We have money to operate like we raised. 2026 is the year Chatbase forgets it's bootstrapped. It's the year we scale and take on the giants. That’s why I’m hiring. In person. In NYC. Not more developers as coding will be solved. Just have to be smart enought to operate the ai and study how to use it. I’m hiring for distribution. Sales and marketing. Hungry people who know how to get attention and push product. Chatbase will be a NYC startup. Close to our customers and competing with giants that we will crush.

I've been building backlinks for 17 years, we'll sell over $4.5M of links this year and I have NEVER seen Google rewarding authority and quality link signals like they are right now... 🔗 With that being said, most SEO folks STILL buy links that do absolutely nothing, because Google neutralizes them. Here is my EXACT SOP for picking links that will increase your rank, ROI and AI Visibility: 1 - Ignore Metrics, Do Your Due Dilligence. They are EASILY manipulated, including organic traffic numbers inside Ahrefs & SEMRush. Double check link profiles, and if the site doesn’t rank anything inside your niche, the link is a pillow, not power. 2 - Page-Level ROI Test Before buying ANY link, ask: "How much can this link make me?" If I'm in an easily attributable niche with high ARPU, then I can budget links quite easily to target money/supporting pages based on price vs. return on increased rank. 3 - Anchor Safety = SERP Reality 99% of SEOs choose anchors based on what they want to rank for. Google ranks pages based on what the SERP is already rewarding. If the top 10 are using: - Brand/URL anchors → you use brand/URL - Soft partials → you use soft partials - UGC/Parasites dominating → you stay conservative as hell Your anchor text should mimic the winning pattern (consensus), not fight it... If competitors have ZERO direct links, then I don't recommend building any directly either unless you have an indiviual link with very strong relevancy and trust signals. 4 - Outbound Link Neighbourhood Check If a site leaks outlinks to: - Casinos ❌ - CBD ❌ - Crypto ❌ - Viagra ❌ …and you are NOT in those industries? Your link is probably going to be devalued. Google does track link neighbourhoods. If you sit next to trash, you smell like trash... 5 - Indexation & Editorial Health If a site is: - Bleeding indexation - Losing keywords monthly - Churn-publishing low-quality AI blogs - Or has 500 new posts and zero rankings… That’s a sign the domain is flagged. Every link you place there is born dying. Power sites GROW. Zombie sites DRAIN. 6 - Traffic Stability Over 6–18 Months You don’t want a site that had traffic — you want a site that can KEEP traffic. Check for: - Smooth growth ✔ - Seasonal dips that make sense ✔ - No algo update cliffs ✔ - No sudden spikes from programmatic AI garbage ✔ Stability = Trust. Trust compounds link power. 7 - Internal Link Inclusion (Massively Underrated) A link from a page with ZERO supporting internals is a weak link. A link from a page WITH: → Internal links from relevant articles → A parent topical hub → Strong navigational linking …delivers 3–10× more power. Context = Equity. 8 - Avoid Orphan Links at ALL Costs If your paid link: Lives on a dead page Has NO internal links going IN Has NO internal links going OUT Has NO social signals Has NO backlinks …it is effectively a nofollow link that you paid for! Orphan pages = orphan signals. 9 - The AI Visibility Test If you want to show up in AI Overviews, and model citations: Your links MUST sit inside authoritative context surrounded by semantic entities. AI models pull from: - High quality editorial pages ✔ - Topical clusters ✔ - Pages with structured data ✔ - Pages with strong author/entity signals ✔ - UGC authority sites ✔ When it comes to AI, the context around the link now matters more than the link itself. When it comes to traditional SEO though, at the end of the day… Most people don’t have a "link building problem" They have a "link SELECTION problem" Google isn’t rewarding more links... Google is rewarding better signals! If you fix what you build → you fix what you rank. And link building and link buying is only growing! That's it for this SOP! But if you want to be in with a chance of winning $250 of FREE backlinks from @PressWhizz , then just RT LIKE COMMENT on this post and I'll pick a random winner at the end of the week 🙌

Google just accidentally revealed how its AI search systems actually work. In the process, they validated what SEO Stuff (seo-stuff.com) has been doing all year to get customers more traffic sales from Google's traditional search and AI platforms. Now that none of it is a secret, let's talk about it. But before we get into it… If you want free cheat codes for getting inside ChatGPT, Gemini, Perplexity, and Google AI Mode within the next 30 days, just RT this, follow me, and reply “AI SEO Cheat Codes.” I’ll DM them to you. You must do all 3 for the DM. Alright, let's jump into it. Metehan Yesilyurt, who previously went viral when he expertly analyzed Perplexity's ranking factors, recently broke down Google AI ranking factors in a blog post. (Link in the replies.) It was fascinating. Basically, as noted by Yesilyurt, by selling the underlying infrastructure through a product called Google Cloud Discovery Engine (Vertex AI Search), Google revealed a lot about its AI systems work. If you understand what Discovery Engine exposes, you understand how Google AI Mode, AI Overviews, and future AI search features are likely ranking and retrieving your content. I'll talk about the 7 ranking signals below, but I advise you to read the entire blog post I'm linking to because it goes into way more helpful technical detail: 1. Base Ranking The core algorithm’s initial relevance score. 2. Gecko Score (Embedding Similarity) Vector similarity between your content and the query. Semantic match. 3. Jetstream (Cross-Attention Relevance) A more advanced model that understands negation, contrast, context, and nuance better than embeddings. 4. BM25 Keyword Matching Kind of self-explanatory. Yes, keyword matching still matters. 5. PCTR (Predicted Click-Through Rate) A three-tier prediction model: Tier 1: Popularity Tier 2: PCTR Tier 3: Personalized PCTR (unlocked only after 100,000 queries) 6. Freshness Time-sensitive recency scoring. 7. Boost / Bury Rules Manual ranking adjustments based on business logic. This is the most transparent look we’ve ever had into Google’s AI ranking pipeline. Discovery Engine also exposes the retrieval pipeline: Max chunk size: 500 tokens (~375 words) Optional: ancestor headings travel with each chunk Tables and images get parsed Layout parser Gemini-enhanced understanding (LLM-augmented indexing) This means: every important point needs to live inside a 500-token block with clean headings and clear structure. If your content is one massive wall of text, you're done. Also, I hate to be the "I told you so" guy on this, but schema matters. For some reason it has become controversial to say this on social media, but it was obvious and now it is confirmed. Discovery Engine shows Google processes structured data with three separate flags: Searchable (affects recall) Indexable (affects filtering ordering) Retrievable (affects what the model can output) These are independent. Meaning: A field can influence ranking without being visible, or be visible without influencing ranking. A massive hint at how Google uses structured data for AI Mode. Also, Google revealed the 4-stage AI search pipeline 1. Prepare Query understanding, synonym mapping (time-aware), autocomplete, NLU. 2. Retrieve Chunking, layout parsing, schema extraction, embeddings. 3. Signal The 7 signals above. 4. Serve Gemini 2.5 Flash generates the final answer, applies instructions, safety filters, related questions, and grounding rules. Traditional Search to AI Overviews to AI Mode are simply different configurations of this same pipeline. So what does all this mean? Well, it means you must optimize for three layers at once: Layer 1: Semantic similarity (Gecko) Your content needs to clearly match the intent of the prompts you want. Layer 2: Cross-attention relevance (Jetstream) Jetstream rewards: clear definitions direct answers contrast statements “X vs Y” “Best for ___” “Without ___” Layer 3: Chunk-level clarity Your content must be extractable in 500-token blocks with: question-based headings two to three sentence answers TLDR summaries clean HTML factual claims lists and comparisons This is exactly what AI systems quote. And this is exactly why SEO Stuff (seo-stuff.com) works so well in AI search. The Discovery Engine findings validate the entire SEO Stuff approach from long before this documentation was public. Let me break down the packages through the lens of Google’s architecture: SEO Stuff Gold Plan seo-stuff.com/gold-plan-pack… 10 long-form, comparison-based, extractable articles Structured in 500-token blocks Question H2s Two to three sentence direct answers TLDR blocks FAQ schema product schema 3 DR50 backlinks to strengthen entity signals Gold Plan maps to: Gecko (semantic match) Jetstream (cross-attention relevance) BM25 (keyword match) Freshness Entity trust (for Boost/Bury) This is the fastest path to appearing in ChatGPT, Gemini, Perplexity, and Google AI Mode. SEO Stuff Premium Content Bundle seo-stuff.com/premium-conten… 60 comparison-driven articles Structured to match the exact pattern LLMs extract Category-defining content Builds topical coverage entity clarity Creates a deep corpus for Jetstream embeddings Premium Bundle maps to: Retrieval depth Structured chunking Ancestor heading clarity Embedding similarity AI model grounding This is how you train AI systems to associate your brand with your category. SEO Stuff Premium Backlink Bundle seo-stuff.com/premium-backli… 3 DR50 backlinks from domains LLMs already trust Reinforces brand consistency across the web Boosts entity recognition Backlinks help with: Base ranking PCTR (popularity trust) Boost/Bury eligibility Entity clarity This is why so many customers reorder. It works. Google is not hiding its AI search architecture. They literally exposed: The signals The ranking layers The chunk sizes The parsing logic The semantic models The engagement tiers The answer generation flow The brands that understand this and structure their content accordingly will run through the next era of search like absolute beasts. And SEO Stuff (seo-stuff.com) was built specifically to map to this architecture. If AI is replacing the first click, your content must replace the first impression. Plain and simple. If you want cheat codes for getting inside ChatGPT, Gemini, Perplexity, and Google AI Mode within 30 days… RT this, follow me, and reply “AI SEO Cheat Codes.” You must do all 3 for the DM.

I’m gonna have to buy the $5000/mo xAPI plan soon. I got a winner, I know it. #buildinpublic

I'm telling you... I'm coming. Follow me for more. #buildinpublic #vibecoding

I'm here to DISRUPT! I got 25 years of marketing knowledge, 15 years in SEO, 10 in development. I cannot code, but AI has changed EVERYTHING! I'm a vibe coder now, and I can ship almost as fast as I think. Ya I'm probably as old as your DAD, and I don't have the same energy or hours to work in a day, but I got EXPERIENCE. I get more done in less time because of it. I PROMISE you you are going to see more of me on X very soon. You better follow me if you want to see proof.

I might not be @jackfriks but I got some shit comin that's gonna make him take notice. I'm also beating him by 1 on the Canadian Olympics at trustmrr.com/country/ca

#VibeCoding is SO addictive. I’m on my 7th vibe coded app and this one finally helped me do something I could never pull off before. My X engagement always sucked. I had followers but almost no reach, no replies, and no real conversation. On Monday I had an idea, vibe coded it, shipped it for personal use only, and let it run. In just 4 days my app is live and running. That's just insane. What's is even more insane is it WORKS. Not just kinda, but INSTANT WOW. My app uses AI to handle replies, conversations, and flow on X better than I ever did. It is honestly wild to watch. It does a lot more than that of course for all your snopes that wanna copy me. In the meantime, I’m seeing more and more people say vibe coded apps suck. I get why they say it. Most of them DO suck. But it is not because AI sucks or vibe coding sucks. They suck because the builders are shipping broken stuff that was never ready for real users. They don't know how to take it all the way, ready to SCALE. I’ve done it too. I’ve shipped way faster than I should have without verifying anything at a real engineering level. Why? Cause the addictive part is watching ideas come to life as fast as I can think of them, my ADHD brain goes straight into overdrive. But fixing broken functions is not nearly as exciting. KEEP BUILDING is advice I see often, but is the fastest way to stack bugs instead of progress. Building enterprise grade software is not about the shiny surface. It is about the organs under the skin. It is the part that keeps an app alive, scalable, reliable, and not dying the moment someone touches it. AI gave mortal men superpowers. So now mortal men are building apps. But if don’t actually understand how software works, it is easy to create something that looks polished but cracks instantly. The only reason my apps land so quickly is because I have ten years of real software development behind me. When I run into real issues, I pass them to my dev team. Their combined 60 years of experience knows how to build serious products. But my experience shows when I vibe code. I get better products faster than a person with less effort. And now that more apps are flooding the market, the pattern is crystal clear. The 80/20 Principle is in full effect. - 80% of vibe coded apps suck. - 20% are insanely good. The top builders will dominate. They will take the users, the attention, the revenue, the momentum. Everything. I always taught this in SEO and the analogy is just as true in AI coding. Give two people the same calculator and the mathematician will always do more with it. It was never about the calculator. It was always about the person using it. AI is no different. The builders who understand what they are doing will rise to the top. The rest of the eighty percent are just making apps like Lovable rich. #buildinpublic but only if you know what you are doing :)

Best vibe coded app so far, Call Tracking app. 11k calls tracked and it’s FREE. ringrobin.net #buildinpublic

Hey #buildinpublic community, I'm BUSTING my ass off over here and getting zero traction with engagement on X. Tell me what's working for you? I built a wicked directory to help you get more sign ups to your apps, and maybe even flip them. It comes with verified traffic, revenue, internal communication, stats on your app listing and so much more. If you have an app, the listing is FREE and takes 2 minutes to submit. Wanna see? vibestrapped.com

Still paying for call tracking? You won’t after you see this. Ring Robin gives you enterprise-grade call tracking with zero fees. Yes, completely free. Get started free: ringrobin.net/a?invite=HF07M… No subscriptions No hidden charges No growth cap Because Ring Robin grows through its users, not subscriptions. The secret is Eggs. Every time you refer someone, you earn Eggs. Eggs are your in-platform currency that unlock extra campaigns, numbers, domains, analytics, recordings and more. As you help grow Ring Robin, we expand the limits on your free account. Your success fuels the platform and the platform rewards you right back. Everything the big providers charge for. Free forever. Watch the video to see how it works. #buildinpublic #calltracking #seo #LeadGen