Loading the report. A first-ever scan of a domain runs live against the site and takes about ten seconds.
Loading the report. A first-ever scan of a domain runs live against the site and takes about ten seconds.
This is how AI agents (not browsers) experience ibrave.co. The score weights five categories of machine-readability; the ticks on the arc are the 36 individual checks behind it.
Send this to whoever edits the site. The link shows the score and grade as a preview card, and it stays current: it re-reads the latest scan rather than freezing today’s number.
Checks tagged “emerging” are 2026 agent-protocol standards most of the web hasn’t adopted yet. Adopting early is an edge, not a defect.
No HTTP Link: response headers. Emit canonical/alternate/describedby relations so HEAD-only or stream-rendering agents get them without parsing HTML.
Show me exactly what to doHTTP responses can carry a Link header: the same canonical and alternate-language information your HTML declares, but delivered in the response envelope itself. Agents that only send a HEAD request, or that decide what to do while the page is still streaming, read the header without parsing any HTML. Yours is missing (or carries none of the relations agents use: canonical, alternate, describedby).
An agent triaging fifty URLs doesn’t want to download and parse fifty pages to learn which are duplicates of which. The Link header answers at the cheapest possible layer. Sites that provide it get correctly de-duplicated and correctly language-routed even by the most minimal fetchers.
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This graded your homepage. Your pricing, docs, and checkout live on other pages: the ones assistants actually quote when they recommend you. A 73/100 here means agents are already missing things on the page you polish most. The $29 Deep Scan audits the whole site against all 36 checks, then emails a PDF with every failing check and its exact fix, ranked by what costs you the most visibility. One-time, delivered in minutes, no subscription.
Embed this badge on your site. It links back to this live scan and updates on every rescan.
<a href="https://agentspeed.com/scan/ibrave.co"><img src="https://agentspeed.com/badge/ibrave.co" alt="AgentSpeed agent-readiness score" height="56"></a>Get this report by email, then a heads-up when ibrave.co’s agent-readiness actually changes: a check regressing, or the composite dropping.
Two things never trigger an email: a score change caused by us publishing a new rubric, because that is a different instrument rather than a change to your site, and movement explained only by timing-derived checks, which shift run to run on a site nobody touched.
Want it on your own schedule, with Slack or a webhook instead of email? Score-drift monitoring is on every paid plan.
This score says whether an AI agent could read ibrave.co. AI traffic analytics says whether one actually came, and which pages turned it away.
Running AI agents of your own? AgentSpeed also monitors them in production: every run, its latency, cost, and failures, with alerts when something breaks. Free for 10,000 events a month, no credit card.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
Visible text is 5.6% of HTML weight (3571/63554 bytes). 2% of the document is inline script, 61% is markup.
Show me exactly what to doOf everything your server sends for this page, very little is actual readable text. The rest is code, styling, and markup wrapper. Agents fetched a lot of bytes and found few words.
Agents work with retrieval budgets. A page that is 2% text either gets skimmed (and mis-summarised) or skipped. More signal per byte means more of your actual message survives into the agent’s summary.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
Browser pass unavailable; HTML looks like a JS-shell (e.g. #__next / #root). Likely JS-dependent.
Show me exactly what to doYour page’s actual content (headlines, product info, pricing) only appears after JavaScript runs in a browser. Most AI agents read the raw HTML that arrives FIRST, and for your site, that first delivery is nearly empty.
An agent fetching your page gets the skeleton: navigation links, a footer, loading placeholders. It then summarises your business from a skeleton. Sites in this state get described as "this page contains little information" while the full pitch renders only for humans.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
Meta description is 201 characters; aim for 50–200 so it's neither thin nor truncated.
Show me exactly what to doThe meta description is a one-sentence summary of the page that you control, embedded in the HTML head. Without it, machines compose their own summary from whatever text appears first, often cookie-notice or navigation boilerplate.
This is the sentence you get to write about yourself. Pages without one are summarised by autopilot, and the autopilot frequently leads with the least representative text on the page.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
TTFB 778ms. Acceptable.
Show me exactly what to doTime to first byte is how long your server thinks before it starts answering: the gap between an agent asking for the page and the first byte of HTML arriving. Yours crossed our threshold (under 200ms scores full marks, over 2 seconds fails).
Agents fetch with tight timeouts and many pages in parallel. A server that takes seconds to start answering gets cut off mid-queue, and a page that times out is a page that was never read. Speed here is not polish; it decides whether the content gets fetched at all.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
No Content-Signal directives. Add e.g. `Content-Signal: ai-train=no, ai-summarize=yes` to declare granular AI usage policy beyond binary allow/disallow.
Show me exactly what to doContent-Signal is a newer robots.txt directive (pushed by Cloudflare) that lets you state a granular AI policy: for example "don’t train on my content, but summarising it in answers is fine". Classic robots.txt only offers all-or-nothing per crawler; this adds the middle ground. We looked for a Content-Signal line in your robots.txt and response headers and found none.
Without a granular signal, crawlers infer your intent from blunt allow/block rules, and sites often block more than they mean to just to avoid training use. A declared signal lets you keep answer visibility (summaries, citations) while opting out of what you object to. This is an emerging standard: honoring is voluntary and adoption is early, which is why it is flagged as emerging and weighs little.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
One prompt covering the fixes above that have a step-by-step plan, in the same priority order, with the same guardrails.
Right now, only you know this score. Your buyers ask AI before they buy, and certification is how you show them, and anyone comparing you to a competitor, that assistants can actually read, quote, and use your site.
Sites under 70 can’t buy this at any price. That’s what makes displaying it mean something.
Certify ibrave.co for $199/year →This scan shows whether an agent can read the site. One free probe asks a real assistant a real buying question and records who it cited.