Agent accessibility optimization

Your site has new users. They're AI agents.

Free trial · 6 credits included · no card required

acme.com
74B

How it works

01

Paste your URL

Enter any public site. AXO checks markdown readiness, agent support, and page structure before launching.

02

Agents browse & score

Up to three computer-use providers navigate your site independently. Results are scored across 8 dimensions with a full discovery audit.

03

Fix & re‑run

Get a prioritized fix list with evidence. Apply changes and re-run to track score deltas and regressions over time.

Apply fixes, then run again to measure improvement

Sample report output

What your report looks like

View example report

AXO Score

74.6B

Per-provider scores

OpenAI
78.9
Claude
76.4
Gemini
68.5

Cross-provider consensus eliminates single-model bias. Score variance reveals where agent behavior diverges.

8-Dimension Benchmark

Task Completion
82
Time to Complete
71
Step Efficiency
68
Navigation Clarity
76
Error Recovery
61
Accessibility Friction
79
Information Quality
74
Confidence
66

Each dimension is weighted and combined into the overall AXO score. Re-running after changes shows per-dimension deltas so you can track improvement over time.

One run, one report

Everything in a single evaluation

One URL, one prompt. AXO runs real agents, scores every dimension, audits your discoverability, and returns a prioritized fix list — all in one pass.

01

Multi-agent execution

Three providers browse independently. See where they converge and where they break.

02

Scored benchmarks

8 dimensions, weighted into one score. Provider results side by side.

03

Discovery audit

Structured data, llms.txt, meta tags, and 6 LLM-scored signals.

04

Prioritized fixes

Issues ranked by impact with evidence and affected pages.

Actionable output

Fixes, not just scores

Every report includes prioritized fixes with evidence from the agents that encountered the issue.

High

Guest checkout is too easy to miss

OpenAI and Gemini both retried account-first paths before finding guest checkout.

/cart, /checkout·OpenAI, Gemini
High

Validation guidance not specific enough

Claude paused on ambiguous validation copy. OpenAI recovered only after re-reading the inline hint.

/checkout·OpenAI, Claude
High

Add structured data (JSON-LD) on key pages

Only 1 of 6 crawled pages exposed structured data for agent discovery.

/, /build

These are from the example report. Your report will surface issues specific to your site.

Why this matters

Being found is not enough if agents can't use your site

AEO was the first step. AXO is what comes next.

AEO handles the discovery layer — getting surfaced by agents as brands shift attention toward this channel. But AI won't stop at telling users where to shop.

Agents will increasingly do the shopping and transacting themselves. Whether an agent can use your interface, complete the task, and finish the checkout is becoming a conversion problem, not just a discovery problem.

The infrastructure is already moving — Cloudflare's agent markdown, Stripe's agent APIs. These are early signals.

Pricing

Start free, scale when ready

Trial

Free

6 credits

14 days, no card

Starter

$69/mo

20 credits

1 concurrent run

Pro

$199/mo

70 credits

3 concurrent runs

Team

$499/mo

180 credits

5 concurrent runs

Get started

The agents are already browsing. Find out what they see.