Agent Experience testing for the web
See your website through an agent's eyes.
Find out what AI agents can discover, access and understand — with a transparent readiness score and evidence behind every result.
No sign-up · Public endpoints only · Private report
Example report
Two numbers, and the evidence behind them.
Agent Journey Path
- 01Discover
Measured today
- 02Understand
Measured today
- 03Navigate
Agent Journeys
- 04Act
Agent Journeys
How many verified Agent Experience signals passed.
How much of the assessment AXplore could actually verify.
Unknown ≠ Failed. We don't turn uncertainty into failure.
Example report: readiness 61 out of 100, assessment coverage 89 percent.
- AI crawler access
GPTBot allowed in robots.txt
- Structured data
Product schema not detected
- Machine-readable content
Markdown negotiation unavailable
3 priority improvements →
Real assessments
See the full evidence.
Explore complete AXplore reports from two real websites, measured with the same deterministic checks available above.
Linear
linear.app
Allbirds
allbirds.com
Point-in-time public-web assessments. Scores may change as these sites evolve. No affiliation or endorsement is implied.
Assessment
What AXplore checks
- Discover
Sitemaps, canonical URLs and public endpoints
- Access
AI crawler rules, robots.txt and page availability
- Understand
Readable content and structured data
- Agent signals
llms.txt, Markdown negotiation and emerging agent conventions
Agent-readable ≠ agent-usable.
Making information available to AI is only the first step. AXplore starts by measuring the conditions agents depend on to discover and understand your website — and is evolving toward testing whether agents can complete real journeys.
- Readable
- Understandable
- Navigable
- Usable
How it works
Three steps, no setup.
- 01Enter your website
Paste any public URL.
- 02AXplore sees what agents see
We test public discovery, access, content and machine-readable signals.
- 03Know what to fix
Get your readiness score, assessment coverage, evidence and recommended improvements.
Methodology
Evidence, not guesswork.
Every AXplore result is based on evidence retrieved from the website. No black-box AI model arbitrarily decides whether a check passed.
Explore our methodology →- Deterministic checks
The same site produces the same result.
- Public endpoints only
We read what any agent could read.
- Explicit result states
Pass, Warning, Fail, Not applicable, Unable to verify.
- Readiness ≠ task success
We say what we measured, and what we didn't.
Coming next
Agent Journeys
Readiness tells you whether the building blocks are there. Agent Journeys will test whether an AI agent can actually accomplish a goal.
Objective Find running shoes under €150
Example Agent Journey Path
- 01Discover
Relevant products found
- 02Understand
Price and availability read
- 03Navigate
Product configuration reached
- 04Act
Variant selection blocked
Failed at Act. Variant selection required an interaction the agent could not reliably complete.
Conceptual example of a future capability. Agent Journeys do not run in AXplore today.
See what agents see.
Scan your website and find out how ready it is for the agentic web.
No sign-up · Public endpoints only · Private report