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 absa.co.za. 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.
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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Weakest on this scan: discoverability, 50/100 — the signals agents use to find and navigate this site are thin or missing.
This graded your homepage. Your pricing, docs, and checkout live on other pages: the ones assistants actually quote when they recommend you. A 67/100 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/absa.co.za"><img src="https://agentspeed.com/badge/absa.co.za" alt="AgentSpeed agent-readiness score" height="56"></a>Get this report by email, then a heads-up when absa.co.za’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 absa.co.za. 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.
Visible text is 5.6% of HTML weight (4777/85204 bytes). 2% of the document is inline script, 81% 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.
TTFB 2117ms. Slow. Agents time out aggressively.
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.
Heading issues: 2 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.
The page asks for an action ("download") but no clickable element carries it. The words sit in image alt text or on a plain element, so an agent driving this page has nothing to click.
Show me exactly what to doThe thing you want people to do on this page (add to cart, book, subscribe) has to be a real element in the page code: a link with an address, or a button. On your page the words are there, but they are painted on. They live inside an image, or on a plain box styled to look like a button.
An agent working your page does not look at pixels. It reads the list of things it can click. A call to action drawn into an image is not on that list, so the agent scrolls past the exact thing you wanted it to press. In a controlled test, a button baked into an image was clicked zero times out of ten by every model tried, while the same button as a real element was clicked seven times out of ten.
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.
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.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.