--- title: "How do I test whether AI agents can use my website? — Hyperize Answers" description: "Three ways to test whether AI agents can read, evaluate, and transact with your website — from a 3-minute manual paste-test to the free Hyperize Snapshot across a 5-agent fleet. Comparison + main-weakness column included." canonical: https://www.hyperize.ai/en/answers/test-website-ai-readiness lang: en last-updated: 2026-05-18 --- # How do I test whether AI agents can use my website? Answer · Test Three ways to test whether AI agents can read your website. Paste your top product page into ChatGPT, Claude, Gemini, or Copilot. Ask "is this credible?", "what are the risks?", "would you shortlist them?". If the answer is vague or skeptical, you have an Agent Surface problem — what an AI sees on your site doesn't survive the filter [\[S1\]](#source-s1). The free Hyperize Snapshot runs this test against a 5-agent fleet across your category in 48 hours. Paste your best page into an AI. If it doesn't survive that filter, your buyers won't either. Takeaway Most brands learn whether their website survives the AI filter only when a sales conversation fails for reasons they can't explain. You can run the test yourself in three minutes: paste your strongest page into ChatGPT or Claude and ask buyer-style questions. The Hyperize Snapshot does the same against five agents across your category — same logic, scored output, one report. Comparison ## Four methods. One main weakness each. Honest comparison — including what each method does *not* do. Method Cost Setup What it returns Main weakness Manual AI paste-test Free 3 min Subjective AI judgment from 1 model n=1 model, no scoring rubric, no peer comparison Internal AI shortlisting audit Team time (~2h) Half-day Buyer-style prompts across 4 AI models No competitive comparison; no scoring framework; outcome depends on prompt skill Hyperize Snapshot Recommended starting point Free 24 h 5-agent fleet × scored across Find / Recommend / Do Business × peer comparison Diagnostic only — surfaces gaps, does not fix them. For remediation, see the Audit. Hyperize Agent Readiness Audit €1,900 7–14 days Snapshot + DAX 40 peer comparison + white-space map + 45-min founder review One category per engagement; takes 7–14 days How we tested ## The five-agent fleet. Each Hyperize Snapshot deploys five agent classes against your category in parallel: HTTP (raw GET requests), LLM (conversational with web search), Code Agent (programmatic access), Browser Standard (DOM automation), and Browser+ as the upper-bound capability test. Each agent runs the same 50 queries — the ones a real buyer in your category actually asks [\[S2\]](#source-s2). Visibility to one agent is not visibility to all. A brand indexed by ChatGPT can be invisible to a code agent that cannot parse JavaScript carousels. The Snapshot reports discoverability, completability, actionability, and evidence quality separately so you see which gates close and which open. The methodology is documented at [Context Window Optimization](/en/methodology/cwo-context-window-optimization) and the parent [Agent Surface](/en/methodology) concept. Why this matters ## Most brands fail silently. When a buyer's AI dismisses your website, you don't get a notification. The sales call never happens. The shortlist gets built without you. The "we have a credibility problem" conversation arrives months later, framed as a sales-team issue or a marketing-content issue — when the actual problem is that the AI gate closed before any human ever saw your brand. The test exists. The Snapshot makes it cheap to run. The only question is whether you'd rather find out now or after three quarters of unexplained pipeline weakness. Related ## Three ways to go deeper. [ Article ### The full prompt stack. Seven copy-paste prompts that test whether AI agents can find, read, buy from, and cite your brand. The long version of this answer. Read](/en/insights/articles/can-ai-agents-buy-from-your-brand-seven-prompts)[ Methodology ### Context Window Optimization. The discipline this test diagnoses. Push-based brand presence — the third era after SEO and GEO. Read](/en/methodology/cwo-context-window-optimization)[ Run the test ### Free Snapshot · 48h. Five agents against your category. Scored output, peer comparison, one report. Free. Get it](/en#snapshot) Sources ## Evidence and provenance. S1 internal We built a button. An AI closed the deal. — original observation of the AI filter Hyperize Insights · March 2026 https://www.hyperize.ai/en/insights/articles/we-built-a-button-ai-closed-the-deal Supports: Demonstration that AI assistants apply a measurable credibility filter to website content — substantive content passes, marketing copy is dismissed. S2 internal Hyperize Snapshot — 5-agent fleet methodology Hyperize Internal — Product · Q1 2026 fleet/snapshot/methodology-v1.md Supports: Five-agent fleet composition (HTTP / LLM / Code Agent / Browser Standard / Browser+ Ceiling), 50-query scoring rubric, peer-comparison logic, 24-hour delivery promise. Page type · AnswerPage Published 2026-05-18 Updated 2026-05-18 Next review 2026-08-18 --- Canonical: https://www.hyperize.ai/en/answers/test-website-ai-readiness Machine-readable index: https://www.hyperize.ai/llms.txt