See what AI agents actually see when they read your site.
Compare agent-style and browser responses, audit ten checks across three pillars — Reach, Read, Understand — and ship the fixes today. The standards keep moving — we track them and re-scan when they do.
Public leaderboard
Top 3 agent-legible docs sites
- #1Cloudflare Developers100
- #2Vercel Docs100
- #3AgentView98
Two agent profiles
ClaudeBot-style and GPTBot-style requests, without claiming to be their verified infrastructure.
Response-level diff
Status, content type, response body, robots policy, and negotiation—not just a tag checklist.
Fixes, not scores
Every finding includes a concrete header, file, or edge-policy next step.
The ten checks AgentView runs on your origin
An AI agent reads your site very differently from a person. It usually does not run JavaScript, it reads in a limited token budget, and it quotes roughly the first 380 words of substantive text it can extract. AgentView fetches your URL the way ClaudeBot and GPTBot do, compares that response against a normal browser, and grades ten signals that decide whether an agent can find, read, and cite you.
- Agent reachability
- Confirms an agent-style request returns your content instead of a 403 or a WAF challenge that makes you invisible to AI answers.
- Markdown negotiation
- Checks whether you serve a compact Markdown version to agents that ask for one, with a Vary: Accept header so caches never cross-serve it.
- Token efficiency
- Measures how many tokens of markup an agent pays to read your HTML versus your actual words — a 100× markup tax is common on unoptimized pages.
- Static rendering
- Flags pages whose main content only appears after JavaScript runs, which an agent that reads raw HTML sees as an almost-blank shell.
- Content substance
- Measures whether your first 380 words carry concrete, quotable facts rather than vague marketing lines an AI will discard.
- Retrieval bots in robots.txt
- Distinguishes retrieval bots (blocking them kills your citation eligibility) from training bots (blocking those costs nothing).
- Cloudflare AI-bot exposure
- Detects when a Cloudflare edge setting could block AI crawlers by default, cutting you off with no code change.
- Structured data quality
- Verifies your JSON-LD names a grounded entity with a stable @id and a sameAs list, not just an empty tag.
- llms.txt
- Reports whether a machine index is present — honest hygiene, since almost no AI reads it today.
- MCP discovery
- Checks for a forward-looking MCP server card so agents can use your service as a tool, not just read the page.
Founding access
The agent-readiness layer for your dev workflow
Agent-readiness silently breaks two ways: the standards keep moving, and every deploy can strip a header or empty a page. You find out weeks later, after it's cost you citations. Scanning is free. Lock in founder access to the full workflow layer.
Continuous monitoring
We re-scan when the standards move and after every deploy, then send you the new fixes.
MCP for your coding agent (early access)
Your IDE agent (Claude Code, Cursor) auto-writes the fixes — llms.txt, JSON-LD, middleware — with your codebase context. You review, it ships.
GitHub PR gate
Block agent-readability regressions at the pull request, before they ship and cost you citations.
Unlimited developer seats. 80% founder discount, locked for 12 months.
Features and pricing are subject to change. Your founder rate is locked for your first 12 months.