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Topic Cluster Reader Path Map

Organize complementary resources around a reader’s starting task, prerequisites and next decisions without forcing every topic into a new page.

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When to use this template

Use this when several useful resources exist but a reader cannot tell where to begin or what comes next. Map the outcomes and dependencies before adding navigation or commissioning missing material.

Choose another approach when: You want to build a keyword pyramid regardless of usefulness, need only one contextual link, or intend to populate the cluster with unfinished placeholders.

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Worked example

Illustrative example, not a Crany customer result. Replace every example detail with facts you can verify.

Fictional example: a founder’s resource collection contains a task-profile worksheet, a positioning brief and a landing-page proof plan. The map gives each a separate role rather than presenting them as interchangeable “marketing strategy” pages.
A reader who already has a researched audience profile can enter at the positioning brief. Someone with an approved claim may go directly to proof placement. Both routes remain valid; the cluster does not force every visitor through every worksheet.
A gap in access-state explanation is first assigned to the existing product fact sheet. The team avoids creating a thin page just to complete a visual cluster diagram. A separate link-planning worksheet handles the exact anchors and sentences.

How to use it

  1. Define the reader’s overall task and valid entry points into the existing resources.
  2. Map prerequisites, outputs and alternative routes without inventing a mandatory sequence.
  3. Resolve overlap and test the actual path before specifying navigation changes.

Check before using it

What to measure

Review whether relevant readers can choose a starting point and carry useful outputs between tasks. Track repeated answers, dead ends and missing prerequisites. A coherent path improves navigation clarity; it does not establish topical-authority scores or guaranteed search gains.

Research and sources

Google recommends relevant contextual links and discoverability of important pages. This original cluster-level reader-path map separates coverage planning from writing individual anchors and makes no claim about an ideal number of cluster pages.

About Crany

Crany is an AI marketing co-founder in development for software founders and vibe coders, designed to strategize, execute approved marketing and improve based on results. This free resource is usable independently of the product. Join the public waitlist.

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