Get found by AI
When people ask AI about your industry, your website should be what gets cited.
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acme-corp.com
ActiveLast crawl: 2 hours agoDiscovered by 6 major AI platforms
60s
From URL to AI Readiness Score
10,000+
Pages per site (Scale plan)
10
MCP query tools per site
99.9%
Uptime SLA (Scale plan)
The problem
AI agents can't read your website
Someone asks ChatGPT about your product category. It pulls from competitors, not you. Your content exists, but it's trapped in HTML that AI agents skip. They need vector embeddings, structured metadata, and machine-readable protocols like MCP and .well-known/ai.json.
SEO won't fix this
Meta tags and keyword density were built for Google's crawler in 2004. AI agents ignore them. They need 384-dimensional vector embeddings (source: all-MiniLM-L6-v2 model), semantic structure, and discovery endpoints that don't exist on 99% of websites today.
VectorEO builds what AI agents need
We crawl your site, chunk every page into structured segments, enrich each one with Claude, store it in per-client Qdrant collections, and serve it through MCP (10 query tools), vector search, and 6 export formats. Your content becomes findable by meaning, not just keywords.
See exactly what AI agents see
Every website gets a detailed AI Readiness Report with scores, technical checks, and an improvement roadmap.
Score Breakdown
Technical Checks
Score Breakdown
Technical Checks
Every scan generates a detailed AI Readiness Report. Free tier gets the diagnostic. Paid plans fix the issues automatically.
Scan Your Site FreeEverything you need. Nothing you don't.
One platform handles the full pipeline: crawl, chunk, enrich, store, export, serve.
Paste a URL. We Do the Rest.
Enter your URL. VectorEO crawls your full site with BFS traversal, respects robots.txt, detects sitemaps, deduplicates content by hash, and chunks pages into structured segments. Refresh runs on your schedule: weekly (Growth), daily (Scale), or real-time (Enterprise).
Content AI Actually Understands
Every page gets enriched by Claude with 8 metadata fields: content type, target audience, buyer journey stage, search intent, factual claims, Q&A pairs, topic tags, and a 200-character summary. Not raw text. Structured knowledge that AI agents use to judge relevance.
Search by Meaning, Not Keywords
384-dimensional vector embeddings (all-MiniLM-L6-v2) let AI agents match "eco-friendly packaging" to your page about "sustainable shipping materials" even though no keywords overlap. Cross-encoder reranking (ms-marco-MiniLM-L-6-v2) scores the top results for precision.
Every Format AI Agents Expect
MCP server with 10 query tools. NDJSON dumps with v2 metadata headers. JSON Feed 1.1. Schema.org JSON-LD knowledge graphs. robots.txt with AI crawler rules. llms.txt site summaries. .well-known/vectors.json and .well-known/ai.json discovery manifests. 6 export formats, generated automatically.
Direct Line to AI Agents via MCP
Built-in Model Context Protocol server (Anthropic's standard for AI-to-tool communication) with 10 read-only tools: query, get_chunk, get_chunks, get_site_info, list_topics, filter_content, list_pages, fetch_page, and 2 custom tool slots. OAuth 2.1 authentication. No integration code needed.
Built for Regulated Industries
TOTP 2FA. API key management with bcrypt hash verification. Immutable audit logs for every state transition. Per-client data isolation in separate Qdrant vector collections. HMAC-SHA256 webhook signatures. GDPR data export and account deletion (Articles 17 and 20). SOC 2 Type II on roadmap.
AI agents query your content. Zero integration code.
Claude, ChatGPT, and other AI agents discover your MCP endpoint and call structured tools to get answers.
from anthropic import Anthropic client = Anthropic()response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{"role": "user", "content": "What does Acme Corp do?"}], # Claude discovers Acme's MCP endpoint automatically # and queries their vectorized content)print(response.content[0].text)# "Acme Corp is a B2B SaaS platform that provides..."# ↑ Cited from acme-corp's VectorEO-served contentAI agents query your content through MCP. You don't write a single line of integration code.
Build it, don't just measure it
Monitoring tools charge $99-$489/mo to track AI mentions. We build AI visibility starting at $49/mo.
Monitoring tools
- —Track if AI mentions you
- —Show you dashboards
- —Alert when rankings change
- —Suggest content changes
VectorEO
- Crawl and structure your content into semantic chunks with entity linking
- Store as 384-dim vector embeddings in per-client Qdrant collections
- Serve through MCP (10 tools), NDJSON feeds, and 6 discovery protocols
- AI agents find and cite your business. Not a dashboard. An outcome.
Your competitors are already AI-visible.
Run a free scan in 60 seconds. No signup, no credit card. See exactly what AI agents can and cannot find about your business today.
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