How to Auto-Generate a Customer Journey Map From a URL

AI reads your website and maps how prospects move from awareness to decision on a single journey map—so content design and LLMO work faster in the age of AI search.

Queue (Headquarters: Chuo-ku, Tokyo; Representative: Taichi Taniguchi) has released a free Customer Journey Design Tool as a new feature of its AI search optimization service, umoren.ai. Enter a website URL and the tool automatically generates a customer journey map.

The tool uses AI to read what your business does, then summarizes customer psychology, questions, search queries/AI prompts, and recommended content across three stages—TOFU (awareness) → MOFU (consideration) → BOFU (decision)—in one map. Anyone can start the kind of evidence-based content design that AI search now demands.

Why the customer journey matters now

With generative AI like ChatGPT, Gemini, and Perplexity spreading quickly, how people gather information has changed. From spotting a problem to researching options and deciding what to buy, asking AI directly is becoming everyday behavior at every step.

To run SEO and LLMO well in that environment, you need a clear picture of what questions customers ask and when, how they search, and which content moves them toward your company.

In practice, though, building a journey map often means a multi-hour or multi-day workshop. Plenty of teams know it matters but never get around to it—or finish a map once and let it go stale. Content that chases volume without a journey behind it rarely matches what buyers need at each stage, so results stay hard to win.

What the tool does

It's a free service that designs a prospect's purchase path from a URL alone. No account required—you can start right away.

The flow has four steps:

1. URL crawling — Automatically analyzes the page you enter and pulls out business overview, target customers, and value offered.
2. Business analysis — From that extract, AI estimates the purchase process and customer profile for that business.
3. Journey map generation — Builds customer psychology, challenges, questions, search queries/AI prompts, and recommended content for each stage along TOFU → MOFU → BOFU.
4. Result visualization — Outputs three views: Business Summary, Purchase Funnel diagram, and Journey Map table.

 

Enter a URL and AI runs site reading, business analysis, and map generation automatically.

Three outputs you get

1. Business Summary — See how AI reads your company

Shows Business Overview, Target Customers, and Value Offered as cards. Use it to check how AI interprets your company—and how you may show up in AI search.

2. Purchase Funnel — See the path from awareness to decision

You can see at a glance how customers move through TOFU → MOFU → BOFU. Key points for each stage are listed, so it's also useful for prioritizing what to work on next.

Shows the business overview, target customers, and value offered that AI analyzed, plus the TOFU → MOFU → BOFU purchase funnel.

3. Customer Journey Map — The full picture in one table

For each stage, it lists:

• User state and psychology — The situation and emotions (anxiety, interest, expectation, and so on) customers are in at that stage.
• Challenges and pain points — The specific concerns driving the customer.
• Questions customers ask — Realistic questions they might put to friends, search engines, or AI.
• Search queries / AI prompts — Search terms or questions someone might actually type.
• Recommended content — Content you should prepare to reach customers at that stage.

Review psychology, questions, search behavior, and recommended content for each stage in one table.

You can download the finished map as Excel, so it's easy to share internally or bring into strategy meetings.

 

Download the journey map in Excel to share and edit with your team.

Compared with the usual approach

Good fits

• You want a content strategy matched to what customers need at each consideration stage.
• You want to spot funnel stages your site underserves.
• You're designing LLMO work aimed at recommendations from ChatGPT, Gemini, Perplexity, and similar tools.
• Sales, marketing, and content teams need a shared language for how customers think.

What's next

With this release, Queue is helping teams lock in the cycle of customer understanding → content design → measurement in the AI search era. Pair it with the already released LLM Visualization Analysis Tool and you can move from journey design to measuring AI search exposure in one flow. Planned next: persona-specific journeys, auto-generated content proposals, and point-in-time observation features.

Service overview

Company overview

 

Contact

For interviews and implementation inquiries: https://umoren.ai/contact