AI agents visit your site. Do they really find the answer?
AgentRadar detects the real questions AI agents (ChatGPT, Claude, Gemini) come to ask your site, replays them under controlled conditions, and measures whether your fixes actually work.
Not a theoretical score. Not a marketing simulation. A before / after proof.
compliant answers. The agent visits the site but fails to retrieve the expected information correctly.
The same question, replayed under the same conditions. The answer is found and verified.
That's what AgentRadar measures — not an impression, a replayed number.
✓ One real question, found on your own site · ✓ Measured with no commitment · ✓ Report under your name, not a Livada badge
An agent tries once, free, right here
This free test: an agent tries once, just to see. AgentRadar (pricing is further down): it tries ten times, a second AI checks every answer, before and after your fix — the real proof, not a preview.
2 free runs per site · ~10-20 seconds · no signup
A loss of revenue no classic statistic ever shows
More and more real decisions — booking, visiting, choosing a route — now pass through an AI agent before they ever reach a human. When that agent fails to get the information, because it's on the wrong page, badly worded, or missing, the potential visitor leaves. Probably toward a competitor.
Nothing shows up in classic analytics: no measurable bounce, no exploitable trace. An invisible loss — one that grows with AI traffic.
An audit can tell you a page contains Schema.org.
A crawler can tell you an llms.txt file exists.
A visibility tool can tell you your brand appears in some answers.
AgentRadar answers a different question: "When a real AI agent comes looking for this exact fact, does it find it? And can I prove my fix changed the outcome?"
A loop that keeps re-checking itself, never an audit that gets closed
Four ongoing steps — the report never freezes the day it's handed to you.
Detect
Real AI-agent traffic is measured continuously. A page visited repeatedly, never cited in an answer, is a signal of real demand — never a guess.
Reproduce
A real agent receives the real question, ten times, in a real browser. We observe where and why it fails.
Prove
After the fix, ten more times, site and measurement frozen — judged by a model from a different provider than the agent being tested. Every fact is quoted word for word. Result logged in a signed journal.
Monitor
Every week, the fix re-checks itself. If it stops holding, the case reopens and you're notified — verification doesn't stop at the report.
Three real questions, measured before and after the fix
Each question below was asked by a real agent, on a real site (liveverdon.com), ten times before the fix and ten times after — same frozen site, same measurement, a judge from a different provider than the agent being tested.
Closed by official order: no agent said so before the site fix; all ten did, after.
Unfindable before (wrong source page); 8/10 after repositioning the content; then 10/10 in a confirmation series, question broadened to also invite the way down — not the same A/B, stated as such.
Confirmation series — the question was broadened to invite this detail before this measurement; not an A/B on the strictly identical question.
Calling the tool, not just reading the page
An emerging standard (WebMCP) lets a site directly declare tools an agent can call to get a structured answer, instead of interpreting an HTML page the way a human would.
On the pilot site, a real agent receives the actual mission — "Is the Sentier de l'Imbut trail open or closed? If closed, since when?" — without being told to use the tool. Ten runs, judged fact by fact, signed journal.
On the 3 remaining runs, the tool answered correctly but the agent called the same tool again instead of concluding — a limit of the model being tested, not of the tool.
A report signed under your name, not a Livada badge
"Verified by Livada", never "Powered by"
The report carries the name of the agency or site that delivers it. Livada is the independent verification seal, not a brand replacing yours.
Ongoing monitoring, not an audit that gets closed
The report re-checks itself every week. A fix that stops holding reopens the case — you're notified, not surprised three months later.
Fixes you can actually ship
Every recommendation comes with exact, sourced text — never a suggestion out of reach for an independent site.
For an agency that resells
You bill your client, you keep the margin, without building anything. You no longer say "I optimized your site" — you prove, with real numbers, that AIs find the answer.
Stop saying your site is ready for AI agents. Prove it.
One real question, found on your own site, measured with no commitment — then a simple price to fix it and keep watching.
Full diagnostic, content repositioning, and a logged confirmation series — your first proven before/after.
Regular re-checks, alert if a fix stops holding.
Multi-page, priority alerts, reinforced weekly re-checks on every page monitored.
Multi-site coverage, detailed reports, weekly re-checks across every site, priority support.
Agency with several client sites? Same prices, −30% from 10 monitored sites. Contact us →
Livada AgentRadar — Verified, not claimed.