Rokas Stan

3,000+ people read my Reddit Guide on AI SEO. Here's how you can do it in a few simple steps: (One client using this strategy now generates $5,000-$7,000 in recurring revenue purely from LLM recommendations.) What you'll learn in this video: → Why Reddit is the #1 source AI tools cite (and how to use that to your advantage). → How to find already-trending threads in your niche with thousands of monthly visitors. → Why comments outperform new thread creation for faster ROI. → How to post authentic, value-driven comments that Reddit won't remove. → How to use AIclicks to find the exact Reddit threads AI is pulling answers from. → How Reddit optimization boosts both AI visibility and organic Google rankings. → The full export and comment workflow we use across 10+ industries. Watch the video here:

@llmrelevance Yes, that's the play. Keep going @llmrelevance

@stanrokas Reverse-engineering AI citation patterns from tracked prompts is smart. LLM Relevance Directory covers tools built for exactly this workflow.

ChatGPT is our #1 lead source at AIclicks. Here's how you can do it too: We went from zero AI visibility to one of the most cited brands across ChatGPT, Google AI Overviews, and Claude. Some stats: - 300+ prompts tracked. - 5,000+ cited sources mapped. - 160+ Reddit threads. - 50K monthly organic visits. - 3,000+ LLM citations. Here's the 5-step system we used to get there: 1/ Create content based on AI citation patterns Track the prompts your buyers ask AI, because 300 prompts gives you about 5,000 cited sources to reverse-engineer. Instead of guessing what works, we rebuild the formats AI already rewards. 2/ Publish listicles that put you in the answer "Best tools for X" pages dominate AI citations. So we write our own and explain why we belong on the list. Then we trade placements with authors writing theirs. 3/ Format every page for AI crawlers, Google, and humans - Quick citable answers up top. - Author bios with social links. - Last-updated dates. - Expert review notes. - Embedded YouTube. Each signal increases the odds of being cited. 4/ Build mentions on the sources AI already trusts We cold email authors of top-cited pages and offer mention exchanges, then list in directories and review sites, all with zero budget. This way our domain rating climbed without a single paid backlink. 5/ Be the #1 comment on Reddit threads AI loves We engaged in 160+ threads pulling 50,000 monthly organic visits, and that single channel drove 3,000+ LLM citations. Top comments win both Reddit and AI engines.

@llmrelevance Thanks for the mention! If anyone is interested in trying aiclicks risk free - pls dm me!

New tool added to our directory: AIclicks llmrelevance.com/tools/aiclicks

@kotleruv_dort If anyone wants to get free credits for AIclicks - DM me!

The 2026 Stack: • Bear AI: The enterprise standard for citation tracking. • AIclicks: Best attribution for the money. Own the protocol or be owned by the policy. Efficiency is the only law. 🚀 3/3

SEO is dead. Google AI Overviews (AIO) just liquidated the traditional funnel. 60%+ of searches are now zero-click. CTR for blue links has plummeted by 61%. If you’re still tracking "rankings," you're tracking a ghost. 1/3

@toplistly For anyone interested - DM and I will give you free credits to try it out

Today's product launch is AIclicks - AI Search Visibility Tracking & Optimization Tool Check it out 👇 toplistly.com/products/aicli…

The #1 Reddit growth hack for AI SEO in 2026: 1/ Track your core questions in an AI visibility tool Take the 50-100 questions your buyers ask and monitor them across ChatGPT, Perplexity, Gemini, and Claude. 2/ Filter the Reddit threads that AI actually cites The tools will show you which Reddit discussions appear in AI-generated answers ranked by frequency and mention count. 3/ Engage with every high-citation thread - Go into the comments. - Add value. - Share real experience. Why this works: AI models pull from Reddit threads that have high engagement and fresh, relevant comments. When you show up in the threads that are already being cited you're inserting yourself into the sources AI is already using.

@floriandarroman aiclicks.io

I'm looking for 30 founders already doing between 5K to 50K MRR. And want to push their SaaS to $100K+ MRR together. I'm launching Profitable Founder Community. - Weekly group calls. - Monthly Q&As with founders who already done it. - Private community for daily conversation. The goal is to create a mastermind of hungry founders who will push each other to reach that goal. The first batch is capped at 30 founders. So if you're in, just drop your SaaS below and I'll DM you more details.

A fintech brand started investing in GEO 2 months ago. Today they are among top 3 in their market by citability. Here's exactly what they did: 1/ Set up prompt tracking across 170+ high commercial intent queries They mapped every question a buyer in their space would ask an AI. - "Best [category] tools." - "Top [use case] platforms." - "Compare X vs Y." Then they tracked those prompts weekly across 6+ AI models. 2/ Found which sources AI was already citing They looked at what pages, articles, and domains the AI models actually pulled from when answering those prompts. - Reddit threads. - Industry listicles. - Review roundups. - Comparison posts. 3/ Created content for the exact source types that worked Based on what the AI cited, they built commercial listicle posts and landing pages targeting the same topics and formats. They ran the same loop: track prompts, find sources, publish content, check what moved. Within 8 weeks they went from invisible to top 3 across their tracked prompt set. What's next: targeted outreach to the highest-cited third-party sources in their industry. The goal is to get mentioned directly inside the pages AI already trusts

I'm speaking at the #GEOConference in Washington DC on June 18. It's oen of the biggest AI SEO event in the world. 200+ companies, 20+ talks, two tracks. The last two editions sold out. I'll be sharing what's actually moving the needle in AI search visibility. If you're going, let me know. I have a discount code.

AIclicks is becoming the most practical AI visibility tool for SEO power users in brands and agencies. Here's what we shipped in the last couple weeks: 1/ Sources page now has an interactive graph. When AI tools answer a question, they pull from specific sources across the web. Some sources get cited constantly. Others barely at all. Now instead of a static table, you see trends over time. Which sources are rising, which are falling, and where you should focus next. 2/ LLM view is live. ChatGPT, Perplexity, Gemini - they all behave differently. Different sources, different brands they mention, different ways they respond to the same question. Before, you got one combined score. Now you can open each AI engine separately and see exactly how your brand performs inside each one. 3/ Prompt page is fully interactive. You could already select exact topics or individual prompts and track your performance at a granular level. What's new is the graph. Now you see how each prompt trends over time visually, spot which ones are climbing, and which are dropping. And some smaller updates: - Dashboard now supports weekly and monthly views, not just daily. Useful when reporting to clients or leadership who care about trends over time. We're one of a few who support 12 month trends view! - Sentiment tracking table got a full cleanup. More granular, easier to read at a glance. What's coming next? API and MCP integrations. So you could use and leverage your AI visibility data with the tools your team already uses.

Our biggest marketing channel costs us $0. ChatGPT sends us 10-20% of our sales calls every month. And we don't win on budget. We win because we built AIclicks for ourselves first, used it on real client accounts, and proved it worked before we sold it to anyone. If it works for us in one of the most competitive SaaS categories right now, it can work for your brand too. Try it out here: aiclicks .io

One of our agency partners came to us with a growing problem. Their clients were INVISIBLE in the AI search. And no one could explain exactly why leads were slowing down. Fast forward 90 days: - new premium service line - higher LTV across their entire portfolio - a revenue stream their competitors still can't replicate Because we installed a system built across 4 layers: 1/ AI prompt research → Mapping exact questions buyers type into ChatGPT and Perplexity → Identifying visibility gaps competitors hadn't claimed yet 2/ Content optimization for AI → Restructuring pages so AI models can extract and cite them → FAQ architecture built around real buyer language 3/ External visibility building → Reddit activation inside conversations AI tools pull from → Review optimization on G2 and Trustpilot for AI citations 4/ AI share of voice tracking → Monitoring visibility across ChatGPT, Perplexity, Gemini and Claude → Competitor mention tracking inside LLM answers Every layer depends on the others. Most agencies DIY one or two, see weak results and conclude AI SEO doesn't work. It works. They just ran half the system. This partner ran all of it. Zero new ad spend. Zero new hires. Just higher value from relationships they already had. PS - If you want to see how this could work for your agency, DM me "PARTNER" and I'll break it down for you.

@Jacobsklug build

I've made $4.7M with AI. I'm giving away the exact prompts I used to build a full AI agency from scratch in under 2 hours. These prompts will guide you through: • Finding a winning niche • Building an offer people pay for • Go to market strategy • Creating your website • Productizing with AI (ie @Lovable) This took me 5 years and hundreds of thousands of dollars to figure out. Comment "Build" and follow. I'll DM it to you. P.S. This will probably blow up so give me some time to reply.

Google didn't warn anyone. One day you're ranking #2 for your best keyword. The next, users get a single AI-generated answer at the top of the page and never scroll down to find you. Your traffic dropped. (massively) Your team blamed seasonality. Your agency said "it's an algorithm update, give it time." But it wasn't an update. It was a structural shift. Google didn't just change its algorithm. It added an AI layer on top of everything you spent years building. Now instead of showing 10 links and letting users decide, it reads those links, summarizes them, and picks ONE winner to recommend. The other 9 become invisible. Here's what makes this painful: your SEO isn't broken. Your rankings might still be fine. But your visibility is gone because rankings and recommendations are two completely different games now. A brand sitting at position #88 on Google can be the top recommended answer in ChatGPT. A brand sitting at #5 can be completely absent from every AI result. The rules changed without a memo. Most marketing teams are still running the same playbook from 2021. - Tracking keyword rankings. - Monitoring domain authority. - Celebrating page one wins. None of those metrics tell you whether ChatGPT, Perplexity, or Gemini are recommending your brand or your competitor when a buyer asks a question you should own. The brands that figure this out in the next 6 months are going to pull so far ahead it won't be a fair fight. The ones that don't will wonder why their organic strategy stopped working.

Here are the 9 signals that determine whether AI recommends your brand: Save this. Most brands are invisible because of number 3. 1. You're cited by sources AI already trusts AI doesn't crawl randomly. It pulls from sources it learned to treat as authoritative. G2, Trustpilot, Forbes, niche publications in your space. No presence there means no existence in AI's reference library. 2. Your content answers questions directly AI scans for clean, extractable answers. Long intros and vague positioning get skipped completely. Answer first. Explain second. Always. 3. You show up in Reddit threads Reddit is one of the most heavily represented platforms in LLM training data. AI consistently treats peer discussion as high-trust, unbiased signal. Brands that appear naturally in the right Reddit threads tend to show up far more consistently across AI answers than brands that don't. 4. You have review platform presence G2, Trustpilot, Capterra. AI actively cites these when recommending products. A thin review profile is a direct visibility killer. 5. Your brand gets mentioned not just linked to Traditional SEO chases backlinks. AI visibility appears to weight brand mentions differently. Consistent mentions across Reddit, LinkedIn, review sites and YouTube comments seem to carry significant influence inside LLMs. The brands building mention presence right now are seeing results that pure link building alone doesn't explain. 6. You have topical authority in your niche AI recommends brands that own a topic completely. Not brands that touch it occasionally. You need content that covers your category from every angle, every question, every comparison. 7. Your site structure is AI readable No technical jargon. Clear headers. FAQ sections. Structured data. If AI can't extract your value proposition in seconds, it moves to your competitor who made it easier. 8. You're referenced across multiple platforms One strong source isn't enough. AI cross-references. A brand mentioned consistently across Reddit, LinkedIn, review sites and publications gets treated as established. A brand living only on its own website gets ignored. 9. Your content matches the exact prompts buyers use Not keywords. Prompts. The full natural language questions real people type into ChatGPT. If your content doesn't mirror how your buyers actually ask questions, AI will never surface you as the answer. Most brands have none of these in place. Their competitors are quietly building all of them. How many of these does your brand actually have? (be honest).

Last Thursday, we ran a webinar on Reddit optimization and AI visibility (almost 100 people joined): We covered: 1/ Why Reddit drives AI visibility. 2/ The two layers of Reddit optimization. 3/ How to write comments that stick. 4/ How to write posts that get cited. 5/ A checklist to get started right away. The full recording: youtu.be/BZKnwxyi-h8?si…

The best way to have unlimited content ideas for AI SEO: 1/ Start with the questions your buyers ask AI Take the 50-100 questions your audience is asking AI. These are the prompts you want to monitor inside AI visibility tool. 2/ Open the Sources Tab and look at what AI cites For every question you track, AI engines reference the same 5-10 pages over and over again. Most people check whether their brand is mentioned. But they never look at what types of pages are actually getting cited. 3/ Filter the cited sources by page type Every source AI references has a content format: listicle, comparison guide, review page, how-to article, directory listing, Reddit thread. When you filter by page type, patterns become obvious. "Best X for Y" prompts almost always cite listicles and comparison pages. "How to choose X" prompts pull from guides and tutorials. "X vs Y" prompts lean on review sites. And some categories are dominated by Reddit threads and community discussions. These patterns are different for every industry. That's why you need to look at your own data instead of following generic content advice. 4/ Turn each pattern into a content brief If 8 out of 10 sources for your top prompt are listicles, you know exactly what format to create. If comparison guides dominate your product category, that's your next page. If Reddit threads keep getting pulled into answers, that's where you should be spending time. 5/ Repeat for every prompt cluster Group your prompts by topic. Each cluster will have its own page type fingerprint. SaaS niches tend to get dominated by long-form guides. Local services by directories. B2B by comparison pages. Community-heavy spaces by Reddit and forums. Page type data shows you the exact content mix that works for your niche. Why this works: Most brands guess what content to create for AI visibility. They publish blog posts because that's what they've always done, then wonder why AI never cites them. Page type data removes the guessing. You're reverse-engineering the exact content formats AI engines already trust and reference in your space. Every prompt you track is a content brief waiting to be written.

@IMJustinBrooke skills

My entire sales process is AI now... Last week it brought in $35,946 in sales, with $23,958 cash collected. You need these 3 skill files if you want to do the same for your sales process... 1. VSL script writer 2. 7 day email promo 3. Long form sales letter Comment "skills" below and I'll DM you the skill files to install.

ChatGPT ads are here. Here's everything you need to know: 1/ Who's already advertising Adobe, Audible, Ford, Mazda, Target, Williams-Sonoma, Mrs. Meyer's, and Audemars Piguet are the first brands in the pilot. Media giants WPP, Omnicom, and Dentsu are coordinating more brands to join. The list is growing fast. 2/ Who sees ads and who doesn't Ads are shown to adult US users on the Free and Go plans. If you're on Plus, Team, Enterprise, Business, or Education there is no ads. Users under 18 won't see them either. Ads also won't appear near sensitive topics like health, mental health, or politics. 3/ How the ads actually work Ads appear as separate blocks below ChatGPT's answer, clearly labeled as "sponsored." They don't change how ChatGPT reasons or what it recommends. - The model generates its answer first. - Then the system decides whether to show an ad. 4/ How ads are targeted Ads are selected based on your conversation context, your previous chats, and how you've interacted with earlier ads (clicks, dismissals). OpenAI says it doesn't use your broader web-browsing or app activity. Advertisers only get aggregated stats like clicks and total views. 5/ What users can control You can dismiss individual ads, give feedback, see a "why am I seeing this?" explanation, delete your advertising data with one click, and manage ad personalization settings at any time. 6/ There's no self-serve ad platform yet You can't just log in and run a campaign. Access is invite-only through OpenAI's Ad Pilot Program. Most brands are locked out for now. 7/ What this means for brands The top of the answer is still organic. That's where ChatGPT recommends products, tools, and solutions (based on what it trusts, not what someone paid for). The brands that will win are building organic AI visibility right now, so they show up in the answer, not the ad slot.