AI Journeys

Test the complete AI-assisted buying journey

Follow a realistic customer from discovery through comparison and decision, preserve the supporting evidence, and find the exact stage where confidence breaks down.

Works with any public website No WordPress required

From isolated prompts to a decision

See whether the business survives the full evaluation

AI Journeys connect discovery, comparison, trust, and decision stages so a team can see whether the available evidence supports a coherent path—not merely whether the brand appeared once.

How it works

A clear path from uncertainty to evidence

  1. 1

    Define a realistic buyer

    Set the customer, location, need, constraints, and intended decision.

  2. 2

    Run the journey stages

    Test a connected discover → compare → decide sequence while preserving the evidence and verification state at each stage.

  3. 3

    Find the confidence break

    Identify where the brand disappears, an important fact cannot be verified, or the next action becomes unclear.

  4. 4

    Improve and verify

    Create evidence-linked work, rerun the same journey after changes, and compare the resulting stage outcomes.

What you can inspect

Evidence you can open and understand

Connected stages

Evaluate a continuing buyer decision instead of unrelated prompts.

Evidence verification

Separate supported facts, uncertain claims, and missing evidence.

AI Journey Score

Summarize the measured stages without mixing it with Website Readiness or public popularity.

Agent Replay handoff

For eligible verified sites, continue from conversational evaluation into bounded task testing.

Evidence boundary

What an AI Journey result means

  • It describes one configured customer scenario and the evidence available during its measured run.
  • It does not prove universal brand visibility, customer sentiment, or business quality.
  • Missing website evidence should remain a gap rather than being filled with an invented answer.
  • Journey results should be rerun after relevant improvements to establish comparable before-and-after evidence.

Practical guide

How to test an AI customer journey

Turn a real customer need into a sequence that can be measured, improved, and repeated.

01

Choose one realistic customer

“Homeowner comparing exterior-cleaning providers in Naples” is useful. “Improve GEO” is not a customer journey.

02

Break the decision into stages

Discovery, comparison, trust, and action each require different evidence and should remain connected.

03

Separate facts from gaps

If the website does not state a service area, qualification, policy, or next step, preserve the absence instead of inventing certainty.

04

Replay carefully

Use Agent Replay only as a bounded diagnostic on a verified domain, with the final consequential action safely blocked.

Common questions

Clear answers before you start

What is an AI Journey?

An AI Journey is a configured, evidence-grounded test of a realistic buyer moving through discovery, comparison, trust, and decision stages.

How is AI Journeys different from AI Visibility?

AI Visibility observes answers to tracked questions. AI Journeys connects multiple stages into one buyer scenario and evaluates whether the evidence supports progression toward a decision.

What does the AI Journey Score measure?

It summarizes the measured stages of the configured journey. It is separate from Website Readiness and is not a universal public-visibility or business-quality score.

Can AI Journeys test what happens on my website?

Eligible plans can use Agent Replay on a verified domain to test a bounded website task. The final consequential action is never completed.

AI Journeys

Test the complete AI-assisted buying journey

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