AI Journeys · Agent Replay

Patent Pending

Can an AI agent successfully use your website?

Replay a bounded task on a verified website, inspect every recorded step, and find where the path becomes unclear, blocked, or unsafe.

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Works with any public website No WordPress required

Beyond talking about the site

Observe whether an agent can reach the intended next action

Agent Replay records the bounded path, decisions, observed controls, friction, safe stops, and outcome so teams can diagnose the website experience without allowing an autonomous agent to complete a consequential action. This controlled testing and evidence-recording process is patent pending.

How it works

A clear path from uncertainty to evidence

  1. 1

    Choose a verified website

    Agent Replay is limited to a domain the workspace has verified it controls.

  2. 2

    Define one bounded goal

    Examples include reaching a quote request, booking step, contact action, or product decision—not completing the final transaction.

  3. 3

    Observe the recorded path

    The agent can act only on controls it observed, while redirects, robots rules, budgets, and terminal-action guards remain enforced.

  4. 4

    Turn friction into a fix

    A scored result and recorded evidence can become a Fix Center task and later be rerun to verify the path.

What you can inspect

Evidence you can open and understand

Bounded browser replay

The run has explicit page, step, time, and safety limits.

Recorded decisions

Review what the agent observed and why it selected the next permitted action.

Terminal-action guard

Submissions, purchases, bookings, and comparable final actions are stopped before completion.

AI Agent Readiness

Evaluate completion, friction, findability, and reliability as a separate diagnostic result.

Evidence boundary

Safety and interpretation boundaries

  • Agent Replay runs only on verified customer domains and follows crawl and redirect safety controls.
  • It stops before the final consequential action and does not submit forms, purchases, or bookings.
  • A successful replay does not guarantee that every external agent will follow the same path.
  • CAPTCHAs, authentication walls, bot defenses, outages, or browser limits may produce an honest unable-to-test result.

Practical guide

Design a useful Agent Replay

The best replay has one realistic goal, a clear safe-stop boundary, and an outcome that can become website work.

01

Choose a customer goal

Test something commercially meaningful: find the right service, reach the booking step, request a quote, or identify the correct product.

02

Define success before the run

Specify the intended terminal control so the run can stop safely and still record whether the path was reachable.

03

Inspect friction as evidence

Ambiguous labels, dead ends, hidden navigation, missing context, and unreliable controls should be preserved as findings—not smoothed over.

04

Rerun the same task

After a fix, repeat the bounded goal and compare the new outcome with the original evidence.

Common questions

Clear answers before you start

Does Agent Replay complete purchases or submit forms?

No. It stops before final consequential actions such as purchases, bookings, subscriptions, or form submissions.

Can Agent Replay test any website?

No. Agent Replay is restricted to customer-verified domains and is subject to plan availability and safety controls.

What happens if a site blocks the agent?

BoostGeo records an honest blocked or unable-to-test outcome rather than treating infrastructure failure as customer-experience failure.

Is Agent Replay the same as AI Visibility?

No. AI Visibility measures answers to buyer questions. Agent Replay evaluates whether a controlled browser agent can navigate a verified website toward a defined goal.

AI Journeys · Agent Replay

Can an AI agent successfully use your website?

Create a free workspace