agentziabeta

Landing-page intelligence
for the agentic web

07 natural requests / 01 trace observer

Make sureAI agents recommendyour product.

See how AI agents naturally discover, navigate, and decide whether to recommend your product.

01 free analysis · No card · Results in minutes

Live observer panel07 online
01ChatGPT · direct checkresearching
02Gemini · discoverysearching
03ChatGPT · comparisoncomparing
04Claude · trustchecking
05ChatGPT · purchasedeciding
06Gemini · setupreading
07Grok · reputationlistening
Understandability✦Trust signals✦Competitive position✦Recommendation intent✦Machine readability✦
01The premise

Agents already research, compare, and recommend products.

They shape discovery. People ask assistants to shortlist tools, compare options, and explain which product fits their constraints before they visit a site.

They use products. Software agents read documentation, call APIs, and choose tools while completing work for their users.

02The method
01

Show us your page

Share a live URL or send the current page directly from your coding agent through MCP.

Input
02

Agents respond naturally

Current OpenAI, Google, Anthropic, and xAI models receive ordinary purchasing requests. Their research tools are available, but Agentzia never tells them what to inspect, which pages to open, or how to score the product.

Panel
03

The observer reads the traces

After every participant finishes, a separate model explains what shaped the decision and compares missed pages with Firecrawl's independent site map.

Report
What the result means

Each run repeats seven stable decision intents across declared OpenAI, Google, Anthropic, and xAI models. Consumer harnesses are proprietary, so every report names which surfaces are verified defaults and which are explicit proxies. Citation-level traces show what shaped the result; exact provider-observed queries are not always available.

See where it fits
03The output

See the path behind every decision.

Dogfood iteration 02 · August 28, 2026
5/6agents kept Agentzia in the decision
Observed across valid runsTrust moved. Selection stayed flat.

5/6 discovered Agentzia, 5/6 understood it, and 2/6 selected it in the final run.

Still unresolved
  1. Publish legal operator details
  2. Earn independent customer proof
  3. Clarify the differentiated scope
Read the study
04Simple pricing

One full analysis is free.
Plans start at $99.

Each credit runs seven natural participant journeys, one trace observer, and a separate search-visibility check.

Pro includes 20 analyses. Ultra includes 50. No card for the first run, and failed analyses can be retried without another credit.

See complete pricing
05Install the MCP

Connect Agentzia to your coding agent.

Choose your client, sign in once, and copy one setup. Your agent can test the page while it builds.

  1. 01
    Choose your client

    Select the coding agent you already use.

  2. 02
    Add Agentzia

    Paste the command or configuration into your client.

  3. 03
    Sign in once

    Approve the secure browser prompt and start testing.

TerminalStreamable HTTP
codex mcp add agentzia --url https://www.agentzia.dev/mcp
codex mcp login agentzia

Add Agentzia, then sign in securely in your browser. No token to copy.

Connect with Codex No API key or private token required.