AI agent landing page testing
Test how agents choose your product.
Agentzia gives current AI models ordinary product-research requests, lets them search and navigate naturally, then turns their decisions and traces into changes your team can make.
The category
A decision diagnostic for one landing page.
Discover An unaware agent researches the category to reveal whether your product enters its consideration set.
Understand Directed agents visit the page and explain what they believe the product does.
Choose Comparison and purchase agents decide whether they would recommend, shortlist, or pass over it.
Improve A separate observer extracts missed information, decision blockers, evidence, and acceptance criteria from the traces.
Where it fits
Focused diagnosis and continuous visibility answer different questions.
Agentzia Explains why an agent accepted or rejected a specific landing page and what information shaped that decision.
Visibility platforms Track brand mentions, prompt rankings, competitors, and trends across many AI-search queries over time.
Together Use visibility monitoring to find where your brand appears. Use Agentzia to improve what an agent understands and recommends after it arrives.
Iteration Retest each deployed version through the web app or MCP and compare the resulting decision paths.
Research panel
Natural requests across major agent surfaces.
OpenAI proxies Direct product checks, competitive choices, and purchase-readiness research using Luna and Sol.
Gemini Spark Unbranded category discovery and technical implementation research using Gemini 3.7 Flash.
Claude Free / Pro Trust and risk research using the default Claude Sonnet 5 model.
Grok Bot proxy Market-reputation research using Grok 4.6, with native web and X search when the xAI route is configured.
Firecrawl A separate reference track records search appearance and the pages available for agents to find.
First analysis free