Scanning live. A first-ever scan of a domain runs against the site and takes about ten seconds.
0.0s elapsedAgentSpeed tests how easily automated agents can discover, understand, and act on ea.com. The score weights five categories of machine-readability; the ticks on the arc are the 37 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.
No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.
Show me exactly what to doJSON-LD is a small block of structured facts (name, what you sell, prices) embedded invisibly in your page’s HTML, written in a vocabulary (schema.org) that machines share. Think of it as the machine-readable caption for the page humans see.
An agent reading prose has to guess which number is the price and which name is the brand. JSON-LD removes the guessing: typed facts it can quote directly. Pages without it get summarised from inference, which is where wrong prices and wrong names come from.
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Generated, ready-to-ship files for the gaps above. Copy them, or download and drop them into your repo.
Weakest on this scan: structured data, 33/100 — facts like price and availability are missing or unreliable in machine-readable form, so agents are left to guess.
This graded your homepage. Your pricing, docs, and checkout live on other pages: the ones assistants actually quote when they recommend you. A 65/100 here means agents are already missing things on the page you polish most. The $29 Deep Scan grades your homepage plus up to 10 more pages we discover, against all 37 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/ea.com"><img src="https://agentspeed.com/badge/ea.com" alt="AgentSpeed agent-readiness score" height="56"></a>Get this report by email, then a heads-up when ea.com’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.
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This score says whether an AI agent could read ea.com. AI traffic analytics says whether one actually came, and which pages turned it away.
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This score is a measurement of machine-readability for automated agents under the published rubric 2026.11.0. AgentSpeed does not assess security, legitimacy, privacy, or financial trust.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
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.
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 1.3% of HTML weight (6144/461962 bytes). 52% of the document is inline script, 46% 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.
Heading issues: no <h1>; 1 skipped level(s).
Show me exactly what to doHeadings (H1, H2, H3…) are the page’s outline. Yours skip levels, repeat H1s, or use styled text instead of real heading tags, so the outline machines extract is scrambled.
Agents use the heading tree to navigate long pages and to decide which section answers a question. A broken tree means quotes get attributed to the wrong section, or sections are missed entirely.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
Consent modal detected (trustarc.com); content still visible. Verify the modal does not block first-paint for screenshot agents.
Show me exactly what to doWe found a cookie-consent banner in your page’s HTML. On a fail, there is so little page text alongside it that the banner is likely most of what an agent receives; on a warn, your content is present but the banner may still block the first paint for agents that render.
Agents can’t click Accept. When the banner is all the page serves, summaries come out as "this site asks for cookie consent" while your actual pitch sits behind a click that never happens.
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.
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.