Making the web visible to AI
300 million people ask AI agents for answers every week. Most websites are invisible to them. VectorEO turns your existing content into structured data that AI agents can find, search, and cite.
The gap we noticed
Businesses spend $10K+ per month on SEO. Meta tags, backlinks, keyword density. That playbook is 25 years old and well-funded.
But when a prospect asks ChatGPT, Claude, or Perplexity about their product: silence. The AI cannot find them. Not because the content is missing, but because it is trapped in HTML that AI agents cannot parse. No vector embeddings. No semantic structure. No MCP endpoint. Nothing for an AI to query.
Search engines learned to crawl HTML in 1998. AI agents need something different: 384-dimensional vector embeddings, entity-linked metadata tied to Wikidata, and discovery protocols like MCP (Model Context Protocol) and .well-known manifests. That infrastructure did not exist for most businesses.
So we built it.
What VectorEO does
We take your existing website and make it readable by AI agents. No content rewriting. No new pages. No migration.
Our pipeline crawls your site with Crawl4AI (respecting robots.txt and AI-specific crawler rules), breaks content into semantic sections by heading structure, extracts named entities linked to Wikidata identifiers, and enriches every page with Claude-generated metadata: content type, target audience, buyer journey stage, factual claims, and Q&A pairs. Everything gets stored in Qdrant as 384-dimensional vector embeddings and served through the protocols AI agents use to find information: MCP tools, NDJSON data feeds, .well-known/vectors.json discovery endpoints, llms.txt summaries, and Schema.org JSON-LD knowledge graphs. Twelve foundation file formats per site.
The result: when an AI agent needs information about your industry, your product, or your expertise, it finds you and cites you.
What we believe
AI Visibility for Everyone
Every business deserves to be discoverable by AI. Not just the ones with ML teams and six-figure tooling budgets. A Growth plan at $49/mo gives a 2,000-page site the same AI serving infrastructure that a custom build would cost $50K+ to develop. Ten Growth clients cover our fixed costs. That is the math that makes this accessible.
Open Standards, Not Lock-in
We build on MCP, Schema.org JSON-LD, robots.txt, llms.txt, and .well-known discovery manifests. Your content works everywhere because we never trap it in a proprietary format. If you cancel VectorEO, your foundation files still work. Your structured data stays valid. Nothing breaks.
Outcomes Over Outputs
We do not measure success by chunks vectorized or pages crawled. We measure it by whether AI agents can find and accurately represent your business. Our 7-signal citeability score tracks what matters: does your content have the structure, specificity, and authority that AI agents need to cite it? Each signal is deterministic. No LLM cost. Just regex and structural analysis.
Radical Simplicity
Submit a URL. Get AI-ready content. The pipeline handles crawling, section chunking, entity extraction with spaCy, Claude-powered enrichment, Qdrant vector storage, and export across 12 foundation file formats. No PhD in machine learning required. No YAML configuration files. No infrastructure to manage. One API key, one line of config.
Ready to see where you stand?
Run a free AI Readiness Scan. Enter your URL, get a 0-100 score with a letter grade across 12 signals, and see exactly what AI agents can and cannot find about your business today.
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