Case Study: SaaS Traffic Boost with Topic Clusters + GEO Structure

Note: This case study includes placeholder metrics (+XX%) so you can replace them with real results before publishing.

Company snapshot

• Industry: SaaS
• Site: WordPress
• Content team: small (1–2 people)

The problem

The company had:

• scattered blog posts with no clear cluster strategy
• weak internal linking
• content that ranked inconsistently and didn't "own" a topic

They wanted:

• predictable organic growth
• content that performed well in both classic search and AI answers

The approach (the playbook)

We ran a simple 4-step system:

1. Choose a narrow pillar topic
2. Build a cluster map (fan-out questions)
3. Publish cite-worthy "answer-shaped" pages
4. Connect everything with internal links

What we built (in Rankwise)

1) A topic hub + cluster

• Pillar topic hub: AI Search & GEO
• Cluster pages:
  • What is GEO?
  • How do AI citations work?
  • Optimizing for ChatGPT
  • Keyword research for AI search

2) Internal linking rules

Each page linked:

• to the pillar topic
• to 2–4 sibling pages
• to one contextual next step

See:

• /resources/guides/internal-linking-best-practices

3) Cite-worthy content structure

Every page used:

• question-like headings
• short answers
• checklists/tables
• a "common mistakes" section

See:

• /resources/guides/optimizing-for-chatgpt

Results (replace with real numbers)

• Organic clicks: +XX% over 90 days
• Top 10 keywords: +XX
• Qualified leads: +XX

What made the difference

• Fan-out coverage (answering follow-ups)
• Strong internal linking (cluster cohesion)
• Clear, extractable sections (easier to cite)

Steal this checklist

• Pick one pillar topic you can own
• Map 10–20 fan-out questions
• Publish 6–12 cluster pages
• Enforce internal linking rules
• Refresh monthly based on performance

Next steps

• Build your cluster map: /resources/guides/topic-clusters-strategy
• GEO basics: /resources/learn/what-is-geo