Agent-readiness for the web

Your website wasn't built for AI agents.

It starts before they even reach you: when a customer asks AI for the best option in your category, does it recommend you? And if an agent does land, can it actually use your site? Most companies lose on both. Aperato audits both, and fixes what breaks.

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We'll run an AI agent against your site and send you what it found.

First, the basics

What is an AI agent?

An AI agent is an assistant like ChatGPT, Claude, or Perplexity that answers your question and then goes and does the task. Ask it to find the best option, and it searches, compares, opens websites, fills carts, and books appointments on a person's behalf. It's your customer, by proxy.

Who

Your customers. Anyone using ChatGPT, Perplexity, or Copilot — hundreds of millions of people — now delegates research and buying to AI.

What

Software that browses and acts for them: asks "what's best," reads the options, visits sites, compares prices, completes the task.

When

Already. Automated traffic passed human traffic in 2026, and every model release makes agents more capable — and more used.

Where

Everywhere your customer would have gone: the recommendation inside the AI's answer, then your website, all the way to checkout.

Why it matters

The agent now decides what your customer sees and buys. If it can't find you or can't use your site, it quietly picks someone else.

The shift is already here

People increasingly send AI agents to research, compare, and buy for them. The web was built for human eyes, and agents can't use most of it.

57.5%

of web traffic is now automated, the first time bots outnumber humans.

Cloudflare, 2026

+7,851%

year-over-year growth in AI-agent web traffic.

Cloudflare, 2026

5×

AI-referred visitors convert vs. organic (14.2% vs 2.8%). Invisible to AI means missing your best-converting channel.

Opollo B2B benchmark, 2026

Two things every site now needs

Get chosen by agents. Get used by agents.

AEO · get chosen

Be the answer the AI recommends

When someone asks an AI for the best option in your category, does it surface you, and describe you correctly? We make your site legible and citable so the agent picks you.

Audit how AI answers describe you

AX · get used

Let the agent finish the job

Once an agent lands, can it actually complete the task, find the price, book, buy, without hitting a wall built for human eyes? We find where it breaks and fix it.

Run a real agent through your key flows

The audit

We check what AI says about you, then run a real agent through your site.

First: does AI recommend you when a customer asks, and describe you correctly? Then: can a real agent actually complete a task on your live site? You see both, the way your customers' AI sees them, and get a prioritized fix list.

Why Aperato

Everyone else hands you a report. We hand you a fixed site.

A standard agent audit

A static scanner checks a few boxes, ~~llms.txt? schema? robots?~~, and emails you a PDF of problems. Then you're on your own to fix them, one time, and it's stale again the next time you ship.

Aperato

A real AI agent attempts real tasks on your live site, so you see what your customers' agents actually hit. Then we fix it, and keep it fixed.

✓ A real agent, not a static checklist, recorded step by step
✓ We implement the fix (structured data, pathways, naming traps), not just list it
✓ Both sides: get chosen by AI (AEO) and get used by it (AX)
✓ Re-checked on every change, so it stays agent-ready