Revuw
About Revuw
Revuw turns YouTube videos into structured, AI-discoverable articles. Creators get a permanent written archive optimised for AI citation. Readers get a distraction-free library with entity linking, cross-video search, and timestamped citations. Every article is built on a 6-layer GEO architecture so AI systems find, trust, and cite your expertise.
The Internet's Most Valuable Knowledge Is Trapped in Video. We're Extracting It.
YouTube hosts over 800 million videos expert interviews, original analysis, primary-source conversations that shape industries. Not one of them is readable by the AI systems now deciding how people find information.
ChatGPT can't watch a 45-minute earnings breakdown to verify a claim. Perplexity can't scrub to minute 32 of a podcast to pull a statistic. When someone asks an AI a question, it reaches for structured text and your video content doesn't exist in that world.
Revuw changes that. We are building the reading and discovery layer on top of the world's largest video platform turning spoken knowledge into beautifully structured, AI-discoverable articles that make the invisible, visible.
Why Now
Three forces are converging:
AI search is replacing traditional search. AI-referred web sessions jumped 527% in early 2025. The "ten blue links" are collapsing. LLMs are becoming the new gatekeepers and they need structured text to cite your work.
Multi-format content is no longer optional. Audiences consume differently. Some watch. Some read. Some ask an AI. Creators who exist in only one format are leaving reach, revenue, and relevance on the table.
Video data is the last great untapped knowledge base. Enterprises, analysts, and researchers sit on thousands of hours of video intelligence with no efficient way to search, cross-reference, or extract insight from it at scale.
Revuw sits at the intersection of all three.
Who We Serve
Revuw powers a two-sided network: every article generated strengthens discovery for creators and deepens the library for readers. We build tailored solutions for three distinct audiences.
For Channels & Creators
Your content deserves a longer life than three days in the feed.
You spend hours researching, filming, and editing. The result is a video that peaks in 72 hours and then slowly disappears from discovery. Meanwhile, the expertise inside it the analysis, the data, the original thinking is locked in a format that AI search engines can't read and audiences can't skim.
Revuw gives your channel a permanent written archive, generated automatically and matched precisely to your voice, structure, and editorial standards. Every article is optimized not just for human readers but for the AI systems increasingly deciding which experts get cited.
Stop relying on one algorithm. Start building a searchable, citable body of work.
For Readers & Researchers
The best thinking on the internet shouldn't require pressing play.
If you're a financial analyst, tech scout, or deep researcher, you already know: the most valuable insights live inside hour-long interviews, panel discussions, and deep-dive breakdowns. Extracting a single data point means scrubbing, rewinding, and hoping you catch it.
Revuw lets you read YouTube. A curated, distraction-free library of the internet's best video content with entity linking, cross-video search, timestamped citations, and deep research tools built in. Find what you need in seconds, not in sixty minutes.
For Enterprise
Turn video intelligence into structured corporate knowledge.
For hedge funds, media agencies, consultancies, and large-scale content networks, information velocity is a competitive moat. Revuw's enterprise solutions offer API access, multi-user team environments, custom feeds, and white-labeled article generation.
Transform massive archives of internal or external video earnings calls, competitor interviews, internal training libraries into a searchable, machine-readable knowledge graph that lets your team move at the speed of the information, not the length of the recording.
The Revuw Advantage: Generative Engine Optimization (GEO)
Traditional SEO optimizes for a search engine that ranks pages. GEO optimizes for an AI that synthesizes answers. The distinction matters because the AI doesn't send users to a list of links. It cites a source directly, or it doesn't mention you at all.
Most video content is invisible to this new layer of search. AI crawlers like GPTBot and ClaudeBot need structured text to index your expertise. Revuw was purpose-built to fix that.
Every article on our platform is constructed on a proprietary 6-Layer GEO Architecture designed to make AI systems find, trust, and cite your content:
Structured Data (JSON-LD Schema)
We inject nested schema markup Article, VideoObject, Person, Organization so AI systems don't just find your content, they can verify where it came from.
Extractable Content Hierarchy
Articles open with TL;DR summaries and use semantic heading structures that mirror how humans actually prompt AI. When someone asks a question, your article is already formatted as the answer.
Fact Density & Timestamped Citation
Every claim is anchored with inline citations linking back to the exact moment in the original video. For LLMs evaluating source trustworthiness, provenance is everything.
Auto-Generated FAQ Blocks
Natural-language Q&A sections wrapped in FAQPage schema, designed to feed directly into AI answer engines and featured snippets.
Entity Linking & Knowledge Graph
We map the connections between people, companies, concepts, and events across articles building an internal knowledge graph that grows more valuable with every piece of content.
AI-Native Technical Performance
Fast, text-first, lightweight HTML that AI crawlers like GPTBot and ClaudeBot can parse instantly. No JavaScript rendering walls. No buried content. Clean signal.
The result: when someone asks ChatGPT, Perplexity, or Gemini a question in your domain, your expertise is the cited answer.