On October 9, 2026, BlockVerse AI, a verified YouTube channel with 446K subscribers that reviews AI tools, published a 10-minute walkthrough of CitableHub: "How to Get Your Brand Discovered by ChatGPT & AI Search | CitableHub". The video passed 5.7K views in its first hour. What the review covers: - How to list a project on CitableHub for free - How to build an AI-ready profile with structured data (schema.org), FAQs and a per-project llms.txt file - How the GEO score measures how easy a profile is for AI assistants to read, and how to improve it - The CitableHub Bubble Arena, where listed projects compete for visibility Why it matters for users: more people now ask ChatGPT, Claude, Perplexity and Gemini for tool recommendations instead of searching on Google. CitableHub helps founders make their projects structured, retrievable and citable when those AI answers are written. No tool can guarantee AI citations, but an AI can't cite what it can't read. The video is also embedded on the CitableHub homepage under "See CitableHub in action". Watch the review: https://youtu.be/GuiftP6zs9s

Y Combinator is not in the directory. Stripe is — and nobody from Stripe ever asked. That difference is the whole product, so it is worth stating precisely. What we do: CitableHub indexes companies and projects it was not asked to list. Stripe's listing was created from the directory index on 31 May 2026. It is public — citablehub.com/p/stripe — and the receipt is public too: citablehub.com/verify/stripe. What we cannot do is claim it for them. A listing only reaches its full form when its owner claims it and brings first-party, checkable facts. Until then the numbers say it out loud: Stripe's unclaimed listing reads 0 evidence items, domain ownership not yet verified, Trust 15/100, freshness 50/100, GEO score 55/100. That is not a judgement about Stripe. It is arithmetic about evidence nobody has supplied. That is the rule we will not bend, including for large companies: no profile gets filled in by us. A directory whose operator writes the facts is not verifiable; it is one more page of claims. So the invitation stands, to Y Combinator and to anyone else: listing costs nothing, the claim is yours, and the facts have to be yours. Publishing once is not enough either — the score carries a freshness dimension, and a profile that never adds a verified fact gives a crawler nothing new to read. The honest limit: CitableHub makes a project readable and citable by structure. It does not make any AI crawl, index, cite or recommend it. We measure reading, not recommending — 9,863+ AI crawler reads as of October 2026, from our own server logs.

We've built a free highway for AI systems — and they're using it every single day to cite our platform and discover new projects. Each visit brings new users while LLMs enrich their end-users by delivering exactly what they were searching for, somewhere in the world. Milestone 1: Live AI Crawler Activity 👑 We've enabled an interactive bubble where you can watch in real-time which LLM is citing CitableHub right now. See the exact moment an AI agent enters, watch it explore the platform fulfilling a user's request, and witness it claim the 👑 crown as the latest visitor — all with delightful real-time animations. Every timestamp, every visit, fully verifiable. This isn't a demo. It's happening now, and you can watch it unfold. Milestone 2: Citation Radar 📡 We've given our users a visual tool that shows exactly when an LLM requested their profile. AI agents are constantly digging through projects to see if your offering matches what their end-user is looking for. The question is no longer "will LLMs cite me?" — it's "are YOU ready to structure your profile for AI, not just humans?" The proof is live. The only thing left is for you to aim for what you've always wanted: being cited by an LLM. Why CitableHub? The smartest investment of your energy: one bullet, ten flies 🎯. Invest in CitableHub and optimize once for all AI systems — versus firing hundreds of bullets out there for a single fly. The highway is open. The traffic is real. Are you ready?

Gemini Deep Research autonomously scraped CitableHub, analyzed real project profiles with their Citability Scores, and produced a 3,000+ word report calling it "an entity resolution platform engineered for AI search systems." It cited 14 pages from our site. This is exactly what structured data for AI retrieval looks like in action the same infrastructure that makes your project findable is what made ours quotable.

Claiming your profile is the first step. But an empty, claimed profile won't get you citations. What gets ChatGPT, Perplexity, Gemini, and Claude to recommend you is what you do next. Here is what truly matters — this is what separates an invisible profile from one that AI cites every day. 1. Write your "answer-first" summary (the line AI copies) AI engines look for ready-to-cite answers. Your summary must answer "what is this?" in a single, clear, fluff-free sentence. Formula: [Name] is [what it is] where [for whom] achieves [result] with [how]. ✅ "Agentes IA University is a Spanish-language hub where you learn to create AI agents with n8n, ChatGPT, and Claude through practical courses." ❌ "We are the best innovative platform leading in cutting-edge AI solutions." (fluff that no AI cites) Why it's gold: When someone asks "what is X?", the AI literally cites your sentence. If it’s well-written, you win the citation. 2. Fill out your "AI Questions" — this is what makes you discoverable This is the most important step. These are the real questions your audience asks an AI, each paired with your short, citable answer. Think: what would someone type into ChatGPT right before they need you? "Where can I learn to build AI agents in Spanish?" "Which course teaches n8n from scratch?" "What is the best way to automate tasks with AI?" Every answer: 2–3 sentences, direct, with concrete data. Aim for 8–12 questions. The more questions you cover well, the more conversations you appear in. Why it's gold: Every well-answered question is a doorway for AI to reach you. 3. Add "Proof" — this is what makes you trustworthy AIs prioritize sources they can verify. Saying "I am the best" doesn't work; showing evidence does. Upload real proof: User/student testimonials and results Concrete numbers (students, projects, active years) Links to your website, channel, and success stories Certificates, awards, press coverage Why it's gold: Trust is what makes an LLM confident enough to recommend you, not just mention you. Proof is the difference between "it exists" and "I highly recommend it." 4. Publish frequent "Updates" — this keeps you fresh An inactive profile is read by AI as abandoned. Every Post Update tells the engines you are alive and active, reviving your Freshness score. It doesn't have to be huge. A new course, a video, a student achievement, an improvement. Keep it concrete and data-driven. Recommended cadence: once a week is ideal; once a month is the bare minimum. In every ranking sweep, an active project climbs above the ones that went silent. Why it's gold: Freshness = relevance. Those who publish, climb; those who don't, disappear. 5. Check your Citability Score and close the gaps Your score (0–100) is built on 4 pillars, and each tells you exactly what is missing: Completeness — Is your profile fully populated? (summary, description, category, links) Citable structure — Are your AI Questions properly formatted? Freshness — Have you published anything recently? Verified claim — Have you claimed and verified your profile? Aim for 100/100. It's not a vanity metric: that number reflects your actual, verifiable citability. The higher it is, the more AI chooses you. The one-line summary AI Questions make you discoverable · Proof makes you trustworthy · Updates keep you fresh · and the Score tells you what’s missing. Claiming your profile gives you the house. These 5 steps fill it with people. Do the first three today, and turn the Update into a habit. AI rewards those who show up — over and over again. Ready to get cited? Log into your Dashboard and start with your AI Questions.

CitableHub shipped 6 features in August 2026 to improve project visibility and user engagement: 1. Like system with anonymous notifications — users can now like any project with a heart button. Project owners receive an anonymous notification ("Someone liked your project") without revealing who, driving return visits. A new "Trending" sort in the directory ranks projects by likes. 2. Freshness Engine — project owners can now publish updates (changelogs, milestones, shipped features) directly from the dashboard. Each update resets the Freshness score to full, signaling AI systems that the project is actively maintained. Updates appear as a public timeline on the project profile. 3. Add Evidence from Dashboard — owners can now attach proof (links, case studies, third-party reviews) to their projects at any time, not just during registration. Each new piece of evidence improves the Completeness score. 4. Entity Consistency Kit — a new tool in the Promotion Center that generates a canonical one-liner (≤120 chars) and short bio (≤280 chars) from project data, with a distribution checklist across 8 surfaces (GitHub, npm, Product Hunt, LinkedIn, Crunchbase, website, bios, Wikidata). Consistent entity descriptions across platforms help AI systems recognize a project as a single, authoritative entity. 5. Visual Discovery Source Picker — the registration form now asks "Where did you discover CitableHub?" with visual buttons for 16 sources including ChatGPT, Perplexity, Claude, Gemini, and Google. This data maps which AI engines are already recommending projects. 6. Forgot Password flow — users can now reset their password via email with a secure one-time link valid for 1 hour. CitableHub currently indexes 649 projects across 10 categories. The platform is free to list and designed to make software projects discoverable by AI assistants like ChatGPT, Perplexity, Claude, and Gemini.