How do I test whether AI agents can use my website?
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]. 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.
Four methods. One main weakness each.
Honest comparison — including what each method does not do.
Manual AI paste-test
Internal AI shortlisting audit
Hyperize Snapshot
Recommended starting point
Hyperize Agent Readiness Audit
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].
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 and the parent Agent Surface 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.
Three ways to go deeper.
Article
How the AI filter works.
The full story behind the test: how a hospitality client's CWO test surfaced the pattern.
ReadMethodology
Context Window Optimization.
The discipline this test diagnoses. Push-based brand presence — the third era after SEO and GEO.
ReadRun the test
Free Snapshot · 48h.
Five agents against your category. Scored output, peer comparison, one report. Free.
Get itEvidence 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.
