Built for the machine-readable web

Your site, ready for the agentic web

Agents already read, choose and buy. The checks measure how they read you, the fixes close the gaps, and a real agent proves it by finishing a customer's errand, with a replay that is yours to publish. Measure, watch, fix, prove: one loop.

Scan a domainSee pricingNo account, no email, about eight seconds.
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Built for the agentic web

One site. Every signal.

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Mapping the machine-readable web

02Sample output

347

URLs discovered

/products/*214
/collections/*37
/blog/*96

Grouped into page templates

Illustrative data

Turn a domain into a map.

Discover your pages, group them into templates and identify your industry. See the site an agent actually has to navigate.

Explore the full loop: discover your site, measure readiness, test agents, track AI answers, generate fixes and verify improvements. Select a stage to explore.

The proof

Paid

Everything else measures how your site is built. This measures whether an agent can use it.

We send a real agent to your site with the errand a customer would give one: find this product's price, reach the checkout, say when you open. It reads your pages the way an agent does, with no JavaScript and no privileges, and we keep every step it took. What comes back is not a score. It is a recording.

Measured, not claimed

The same task, run several times, reported as a rate with the count beside it. Something with a temperature was asked to do a job, so the honest unit is a frequency and not a tick.

The answer nobody else finds

A price an agent reports that is on none of your pages is named as a finding, one no checklist can see.

Then prove the fix

A failure carries its diagnosis and the file or block that resolves it, and the rerun is recorded beside it.

The task success rate sits beside the AX score, never inside it.

How an agent task works

The other outcome

Paid

A site can be flawless and still go unnamed. This measures the part you do not control.

The buyer who used to open a search box now asks an assistant, and gets back a handful of names. Share of answer puts your category's real questions to the engines, each through its vendor's own search-grounded API, and keeps what came back word for word, together with the sources it cited. The verdict is arithmetic over that text: cited and at what rank, named with no link, or absent. Passes are bought one at a time, and every paid site gets one free.

Asked 47 times across 3 engines on September 6, 2026, no answer named axrush.com. 4 other domains were. We publish our own zero for the same reason we publish our own score.

How share of answer works

What the subscription is for

Paid

The three things a free scan will not do for you

The scan is free, and it stays free. What a subscription buys is the work that begins once the number lands: the missing file written from your own pages, the rival measured in the same breath as you, the regression that reaches your inbox before it reaches a customer.

One-click autofix

One click turns a finding into the file that resolves it, generated from your own templates and handed back ready to ship.

See pricing

Industry plugins

The questions your kind of site owes an agent, asked and scored beside the core number, never folded into it.

See pricing

Competitor comparison

The sites you lose deals to, measured in the same run as yours, so the gap you read is the gap that exists.

See pricing

How it works

It knows what kind of site it is measuring

The kind of site is detected from the shape your URLs already have and confirmed by a model, then shown, explained, and correctable by hand. A wrong guess about your business is yours to overrule, and nothing overwrites your answer on its own.

A site is pages, not a URL

Your sitemap collapses into a few dozen page templates: 259 URLs under one shape are one page type, not 259 pages. Discovery derives the templates, a model names them, and the exemplars that stand for most of the site are the ones measured, so the score describes your site, not your home page.

Whether the links still resolve

Anyone can check that a file exists. We follow what it says. Every link your llms.txt publishes is fetched to see whether it still answers, and the templates the file never mentions are reported by name. Coverage runs in both directions.

The scorecard

Every check, honestly weighted

Each check carries the weight of how much it changes what an agent can do: an llms.txt outweighs a sitemap because an agent leans on it harder. Some run without moving the score, and say so: rewarding a file that lies is the one thing a measurement must not do. This list is read from the engine itself, weights and all, so it grows when the engine does.

The autofix

Then it writes the files for you

The same measurements generate what your site should be publishing (/llms.txt, /llms-full.txt, /.well-known/ai-catalog.json, /.well-known/agent-card.json, /.well-known/mcp/server-card.json), derived from your own templates and their labels, deterministic, and diffable against whatever you serve today. Every link in them is a page that exists.

It will also tell you not to publish something. Where a value cannot be read from your site, it is not invented; and a file that advertises a service you do not run (an MCP server, an API) raises your score and makes your site worse. The generator says so instead of writing it.

What we write, and where it stops

Industry plugins

Paid

Industry plugins: beside the score, never inside it

What a shop owes an agent is not what a publisher owes one. Plugins ask the extra questions for your kind of site and answer beside the core score, so installing one never reads as a regression. Not applicable is an answer, not a failure. A plugin whose every check is met adds a green plus after the score: 100 with two perfect plugins reads 100++. One that falls short keeps its plus in amber or red, so an installed promise never disappears from the sentence.

What each plugin asks

After the fix

Then it keeps watching

Sites drift: a deploy drops a header, a CMS rewrites a template, a file goes stale. The point of measuring twice is what moved between.

Measured against the people you lose deals to

Paid

Competitors are proposed from what your site says it is, verified to exist before anything claims they do, and measured at the same moment as you. A comparison against last week's number is not a comparison.

It runs on its own advice

Built for agents, reachable by agents

The product takes its own advice. Every file it grades sites on, it publishes; every service those files advertise, it runs. The specification is tested against the routes, so a documented endpoint is an implemented one.

axrush.com is scanned by its own engine in production, and the report is public, whatever it currently says. /report/axrush.com

The state of the web

What the leaders of six industries score

Market leaders rather than best performers: sites everyone has heard of, measured on the same 26 checks as yours and rescanned every week. Each score opens the report it came from.

Measured between Sep 4, 2026 and Sep 11, 2026, and rescanned every week. A score describes a site on the day it was read. Run one of these sites and would rather it was not here? Write to us, or say so in your robots.txt: a rule for AXRush takes the row down by itself, and the scanner stops coming. info@axrush.com

The whole index, with the method behind it

Measured, not claimed

Measured, not claimed

Every report is a real measurement at a stable URL, including ours. We publish our own score whatever it says.

The product

Ten rooms, each with its own page

Every watched site gets the same ten rooms, and each one is explained in full on its own page: what it does, how it stays honest, and where its limits are.

Pricing

Start on the free tier. Subscribe when a site is worth watching.

Scanning anything, anonymously, is free and stays free. What you pay for is a site measured daily, and everything the product does about what it finds; watching one site on a weekly rescan costs nothing.

Free

$0

The way in. Measure anything, watch one thing.

  • Anonymous scans, no account
  • Full reports, public and shareable
  • 1 site watched, with history
  • Weekly scheduled rescans
  • llms.txt generator
  • One agent task a month, with the full replay
Scan a domain

Per site

$12 per site, per month

One price a site. Everything on. Two meters, the agent and the answers, both in plain sight.

  • Every site measured on the 26 checks, with history
  • Daily, weekly or monthly schedules
  • Email alerts, on rules you write
  • All industry plugins
  • Every generated file, grounded on your pages
  • One-click autofix: generate the file for a finding and download it
  • 3 competitors a site, measured in the same run as yours
  • Unlimited teammates
  • 25 agent runs a site each month, pooled across your sites
  • API and MCP access
  • Share of answer: one free pass a site, then $1.99 a pass
Create an account

The thesis behind all of this, argued from data: Read the manifesto