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SNAKE
grow the line — don't bite yourself
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PAC-MAN
eat the dots — dodge the ghosts
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Agent Readiness Audit — Your Journeys Tested by Real AI Agents
Back to CapabilitiesAGENT READINESS AUDIT

AI can cite you. Can it buy from you?

The next visitor who abandons your checkout might not be a person. ChatGPT's agent mode, Perplexity shopping, and Google's agentic checkout now navigate, click, fill forms, and buy on your customers' behalf — and they get stuck on things human visitors never notice: content that only renders in JavaScript, consent walls, anti-bot filters, buttons that aren't really buttons. Our Agent Readiness Audit answers one blunt question: can an AI agent actually complete the journeys that make you money on your site — or does it fail halfway?

What we deliver

Your revenue-critical journeys tested end to end — cart to checkout, landing to signup, content to contact form
Real agents driven through every journey: ChatGPT agent mode, Perplexity, and a scripted Playwright + LLM agent
Screenshots and traces of the exact point where each agent gets stuck
Per-journey pass/fail and an overall agent completion score
A machine-readability and gating review — DOM vs JS rendering, schema.org, semantic HTML, CAPTCHA, WAF, consent, robots.txt / llms.txt
A prioritized fix list, split into quick config wins and dev work

Our approach

We don't crawl your site: we pick, with you, the journeys your revenue actually runs on — search → product → cart → checkout, landing → signup → first activation, content → quote form → submit — and drive real agents through them. ChatGPT agent mode, Perplexity, and a headless Playwright + LLM agent: we record exactly where each one breaks, with screenshots and traces. Then we check the layer underneath: JS-only rendering, schema markup, semantic HTML, CAPTCHA and WAF rules, robots.txt and llms.txt. You get a per-journey pass/fail with the exact stuck point, a completion score, and a prioritized fix list split into quick config wins and dev work.

Let's be honest about the timing: agentic traffic is still a small share of most pipelines. That's why we give you scenario ranges rather than an invented "€X lost", and why most clients run this alongside SEO Auto Review — same buyer, adjacent question: one measures whether AI engines find and cite you, the other whether AI agents can transact with you once they arrive. The point is being ready before your competitors, not panicking. And because the deliverable is a prioritized fix list, it feeds straight into the rest of the studio: the quick config wins your team ships in a day, and the dev and CRO work we can implement for you.

Frequently asked questions

A measured test: we drive real AI agents through the journeys that make you money and see whether they reach the end. Not a generic compliance scan — a per-journey pass/fail, with screenshots of the exact point where the agent gets stuck, the technical cause behind it, and a prioritized fix list. What we measure isn't your theoretical score: it's whether an agent can buy from you today.
Fair question, and the honest answer is: for most companies, this isn't urgent today. Few are losing sales to agents at scale this year. It's a readiness audit, not a panic buy — we give you scenario ranges as agentic traffic grows, never an invented loss figure. Most clients run it alongside SEO Auto Review rather than on its own.
Fixed quote per scope, set during scoping — it depends on the number and complexity of the journeys to test. What we scope is what we quote, and what we quote is what you're invoiced. And if agents already complete your journeys, the report says so — and you're done.
There's real overlap, and we'd rather say so: semantic HTML, structured data and performance serve agents and humans alike — a good technical audit already touches some of this. What's new is the agent-driven testing itself: watching ChatGPT in agent mode fail on your checkout, and knowing precisely at which step. If you've never done a technical audit at all, start there — we'll tell you.
Either, your call. The fix list is split into quick config wins — which your team can ship in a day — and deeper dev work. Your team implements it, or we do: the people who found the problems are the people who fix them.

Ready to find out if agents reach the end?

A 30-minute scoping call: we pick the journeys to test, set the scope, and quote a fixed price. Honestly: if agents already complete your journeys, the report will say so — and you'll have spent one audit finding out before your competitors did.